bluuebunny/crossref_metadata_2025_split huggingface dataset:
Treatment outcomes and adherence to treatment in patients with immune thrombocytopenia in two Ethiopian teaching hospitals: a retrospective cohort study
Authors: Beyene Dessale Abate , Sisay Eskinder Ayalew , Fentie Atalay Mulu , Gebremedhin Amha 
Published: May 2024

AbstractThe treatment of immune thrombocytopenia (ITP) is challenging and treatment outcomes depend on numerous unknown and patient-specific factors. Corticosteroids are the cornerstone of ITP treatment, but they are associated with many side effects. In this retrospective cohort study, treatment outcomes and treatment adherence in patients with ITP were investigated in 214 ITP patients from November 15, 2022 to March 15, 2023. Multinomial regression analysis models were used to identify predictive factors for treatment outcomes. A p value of less than 0.05 was considered statistically significant. Most study participants were female 161 (75.5%), and the majority 172 (80.4%) of them were taking prednisolone only. In terms of treatment adherence, 178 (83.2%) of the study participants adhered well to their ITP medications. The complete response rate at 3 months was 139 (65.0%). Predictive factors for partial response were increased negative impact of ITP on health-related quality of life (AOR = 1.221, 95% CI 1.096–1.360), being treated at Tikur Abessa Sepcialazed Hospital (AOR = 0.431, 95% CI 0.197–0.941) and the presence of heavy menstrual bleeding (AOR = 2.255, 95% CI 0.925–5.497) compared to patients with complete response. Hepatitis B virus-infected ITP patients (AOR = 0.052, 95% CI 0.004–0.621) were also a predictive factor for no response compared to complete response.
miRNA-206-3p alleviates LPS-induced acute lung injury via inhibiting inflammation and pyroptosis through modulating TLR4/NF-κB/NLRP3 pathway
Authors: Chen Mengchi , Zhang Jingfeng , Huang Hongyuan , Wang Zichen , Gao Yong , Liu Jianghua 
Published: May 2024

AbstractAcute lung injury (ALI) is life-threatening. MicroRNAs (miRNAs) are often abnormally expressed in inflammatory diseases and are closely associated with ALI. This study investigates whether miRNA-206-3p attenuates pyroptosis in ALI and elucidates the underlying molecular mechanisms. ALI mouse and cell models were established through lipopolysaccharide (LPS) treatment for 24 h. Subsequently, the models were evaluated based on ultrasonography, the lung tissue wet/dry (W/D) ratio, pathological section assessment, electron microscopy, and western blotting. Pyroptosis in RAW264.7 cells was then assessed via electron microscopy, immunofluorescence, and western blotting. Additionally, the regulatory relationship between miRNA-206-3p and the Toll-like receptor (TLR)4/nuclear factor (NF)-κB/Nod-like receptor protein-3 (NLRP3) pathway was verified. Finally, luciferase reporter gene and RNA pull-down assays were used to verify the targeting relationship between miRNA-206-3p and TLR4. miRNA206-3p levels are significantly decreased in the LPS-induced ALI model. Overexpression of miRNA-206-3p improves ALI, manifested as improved lung ultrasound, improved pathological changes of lung tissue, reduced W/D ratio of lung tissue, release of inflammatory factors in lung tissue, and reduced pyroptosis. Furthermore, overexpression of miRNA-206-3p contributed to reversing the ALI-promoting effect of LPS by hindering TLR4, myeloid differentiation primary response 88 (MyD88), NF-κB, and NLRP3 expression. In fact, miRNA-206-3p binds directly to TLR4. In conclusion, miRNA-206-3p alleviates LPS-induced ALI by inhibiting inflammation and pyroptosis via TLR4/NF-κB/NLRP3 pathway modulation.
COVID-19 mortality prediction in Hungarian ICU settings implementing random forest algorithm
Authors: Hamar Ágoston , Mohammed Daryan , Váradi Alex , Herczeg Róbert , Balázsfalvi Norbert , Fülesdi Béla , László István , Gömöri Lídia , Gergely Péter Attila , Kovacs Gabor Laszlo , Jáksó Krisztián , Gombos Katalin 
Published: May 2024

AbstractThe emergence of newer SARS-CoV-2 variants of concern (VOCs) profoundly changed the ICU demography; this shift in the virus’s genotype and its correlation to lethality in the ICUs is still not fully investigated. We aimed to survey ICU patients’ clinical and laboratory parameters in correlation with SARS-CoV-2 variant genotypes to lethality. 503 COVID-19 ICU patients were included in our study beginning in January 2021 through November 2022 in Hungary. Furthermore, we implemented random forest (RF) as a potential predictor regarding SARS-CoV-2 lethality among 649 ICU patients in two ICU centers. Survival analysis and comparison of hypertension (HT), diabetes mellitus (DM), and vaccination effects were conducted. Logistic regression identified DM as a significant mortality risk factor (OR: 1.55, 95% CI 1.06–2.29, p = 0.025), while HT showed marginal significance. Additionally, vaccination demonstrated protection against mortality (p = 0.028). RF detected lethality with 81.42% accuracy (95% CI 73.01–88.11%, [AUC]: 91.6%), key predictors being PaO2/FiO2 ratio, lymphocyte count, and chest Computed Tomography Severity Score (CTSS). Although a smaller number of patients require ICU treatment among Omicron cases, the likelihood of survival has not proportionately increased for those who are admitted to the ICU. In conclusion, our RF model supports more effective clinical decision-making among ICU COVID-19 patients.
Freeform generative design of complex functional structures
Authors: Pereira Gerald G. , Howard David , Lahur Paulus , Breedon Michael , Kilby Phil , Hornung Christian H. 
Published: May 2024

AbstractGenerative machine learning is poised to revolutionise a range of domains where rational design has long been the de facto approach: where design is practically a time consuming and frustrating process guided by heuristics and intuition. In this article we focus on the domain of flow chemistry, which is an ideal candidate for generative design approaches. We demonstrate a generative machine learning framework that optimises diverse, bespoke reactor elements for flow chemistry applications, combining evolutionary algorithms and a scalable fluid dynamics solver for in silico performance assessment. Experimental verification confirms the discovery of never-before-seen bespoke mixers whose performance exceeds the state of the art by 45%. These findings highlight the power of autonomous generative design to improve the operational performance of complex functional structures, with potential wide-ranging industrial applications.
Ganglioside SSEA-4 in Ewing sarcoma marks a tumor cell population with aggressive features and is a potential cell-surface immune target
Authors: Jamitzky Silke , Altvater Bianca , Krekeler Carolin , Hoen Laura , Brandes Caroline , Ebbinghaus Julia , Richter Lisa , Kosel Lisa , Ochs Laurin , Farwick Nicole , Urban Katja , Kluge Lena , Bücker Lara , Görlich Dennis , Johnston Ian C. D. , Pfeifer Rita , Hartmann Wolfgang , Rossig Claudia , Kailayangiri Sareetha 
Published: May 2024

AbstractCarbohydrate markers of immature cells during prenatal human development can be aberrantly expressed in cancers and deserve evaluation as immune targets. A candidate target in Ewing sarcoma is the globo-series ganglioside stage-specific embryonic antigen-4 (SSEA-4). We detected SSEA-4 expression on the cell surface of all of 14 EwS cell lines and in 21 of 31 (68%) primary EwS tumor biopsies. Among paired subpopulations of tumor cells with low versus high SSEA-4 expression, SSEA-4high expression was significantly and consistently associated with functional characteristics of tumor aggressiveness, including higher cell proliferation, colony formation, chemoresistance and propensity to migrate. SSEA-4low versus SSEA-4high expression was not related to expression levels of the EWSR1-FLI1 fusion transcript or markers of epithelial/mesenchymal plasticity. SSEA-4low cells selected from bulk populations regained higher SSEA-4 expression in vitro and during in vivo tumor growth in a murine xenograft model. T cells engineered to express SSEA-4-specific chimeric antigen receptors (CARs) specifically interacted with SSEA-4 positive EwS cells and exerted effective antigen-specific tumor cell lysis in vitro. In conclusion, with its stable expression and functional significance in EwS, SSEA-4 is an attractive therapeutic immune target in this cancer that deserves further evaluation for clinical translation.
Fluorescence tracking demonstrates T cell recirculation is transiently impaired by radiation therapy to the tumor
Authors: Kramer Gwen , Blair Tiffany , Bambina Shelly , Kaur Aanchal Preet , Alice Alejandro , Baird Jason , Friedman David , Dowdell Alexa K. , Tomura Michio , Grassberger Clemens , Piening Brian D. , Crittenden Marka R. , Gough Michael J. 
Published: May 2024

AbstractT cells recirculate through tissues and lymphatic organs to scan for their cognate antigen. Radiation therapy provides site-specific cytotoxicity to kill cancer cells but also has the potential to eliminate the tumor-specific T cells in field. To dynamically study the effect of radiation on CD8 T cell recirculation, we used the Kaede mouse model to photoconvert tumor-infiltrating cells and monitor their movement out of the field of radiation. We demonstrate that radiation results in loss of CD8 T cell recirculation from the tumor to the lymph node and to distant sites. Using scRNASeq, we see decreased proliferating CD8 T cells in the tumor following radiation therapy resulting in a proportional enrichment in exhausted phenotypes. By contrast, 5 days following radiation increased recirculation of T cells from the tumor to the tumor draining lymph node corresponds with increased immunosurveillance of the treated tumor. These data demonstrate that tumor radiation therapy transiently impairs systemic T cell recirculation from the treatment site to the draining lymph node and distant untreated tumors. This may inform timing therapies to improve systemic T cell-mediated tumor immunity.
A proteomics approach to isolating neuropilin-dependent α5 integrin trafficking pathways: neuropilin 1 and 2 co-traffic α5 integrin through endosomal p120RasGAP to promote polarised fibronectin fibrillogenesis in endothelial cells
Authors: Benwell Christopher J. , Johnson Robert T. , Taylor James A. G. E. , Lambert Jordi , Robinson Stephen D. 
Published: May 2024

AbstractIntegrin trafficking to and from membrane adhesions is a crucial mechanism that dictates many aspects of a cell’s behaviour, including motility, polarisation, and invasion. In endothelial cells (ECs), the intracellular traffic of α5 integrin is regulated by both neuropilin 1 (NRP1) and neuropilin 2 (NRP2), yet the redundancies in function between these co-receptors remain unclear. Moreover, the endocytic complexes that participate in NRP-directed traffic remain poorly annotated. Here we identify an important role for the GTPase-activating protein p120RasGAP in ECs, promoting the recycling of α5 integrin from early endosomes. Mechanistically, p120RasGAP enables transit of endocytosed α5 integrin-NRP1-NRP2 complexes to Rab11+ recycling endosomes, promoting cell polarisation and fibronectin (FN) fibrillogenesis. Silencing of both NRP receptors, or p120RasGAP, resulted in the accumulation of α5 integrin in early endosomes, a loss of α5 integrin from surface adhesions, and attenuated EC polarisation. Endothelial-specific deletion of both NRP1 and NRP2 in the postnatal retina recapitulated our in vitro findings, severely impairing FN fibrillogenesis and polarised sprouting. Our data assign an essential role for p120RasGAP during integrin traffic in ECs and support a hypothesis that NRP receptors co-traffic internalised cargoes. Importantly, we utilise comparative proteomics analyses to isolate a comprehensive map of NRP1-dependent and NRP2-dependent α5 integrin interactions in ECs.
Malignant peritoneal mesothelioma interactome with 417 novel protein–protein interactions
Authors: Karunakaran Kalyani B. , Ganapathiraju Madhavi K. 
Published: May 2024

AbstractBackgroundMalignant peritoneal mesothelioma (MPeM) is an aggressive cancer affecting the abdominal peritoneal lining and intra-abdominal organs, with a median survival of ~2.5 years.MethodsWe constructed the protein interactome of 59 MPeM-associated genes with previously known protein-protein interactions (PPIs) as well as novel PPIs predicted using our previously developed HiPPIP computational model and analysed it for transcriptomic and functional associations and for repurposable drugs.ResultsThe MPeM interactome had over 400 computationally predicted PPIs and 4700 known PPIs. Transcriptomic evidence validated 75.6% of the genes in the interactome and 65% of the novel interactors. Some genes had tissue-specific expression in extramedullary hematopoietic sites and the expression of some genes could be correlated with unfavourable prognoses in various cancers. 39 out of 152 drugs that target the proteins in the interactome were identified as potentially repurposable for MPeM, with 29 having evidence from prior clinical trials, animal models or cell lines for effectiveness against peritoneal and pleural mesothelioma and primary peritoneal cancer. Functional modules related to chromosomal segregation, transcriptional dysregulation, IL-6 production and hematopoiesis were identified from the interactome. The MPeM interactome overlapped significantly with the malignant pleural mesothelioma interactome, revealing shared molecular pathways.ConclusionsOur findings demonstrate the utility of the interactome in uncovering biological associations and in generating clinically translatable results.
Opportunities and risks of large language models in psychiatry
Authors: Obradovich Nick , Khalsa Sahib S. , Khan Waqas U. , Suh Jina , Perlis Roy H. , Ajilore Olusola , Paulus Martin P. 
Published: May 2024

AbstractThe integration of large language models (LLMs) into mental healthcare and research heralds a potentially transformative shift, one offering enhanced access to care, efficient data collection, and innovative therapeutic tools. This paper reviews the development, function, and burgeoning use of LLMs in psychiatry, highlighting their potential to enhance mental healthcare through improved diagnostic accuracy, personalized care, and streamlined administrative processes. It is also acknowledged that LLMs introduce challenges related to computational demands, potential for misinterpretation, and ethical concerns, necessitating the development of pragmatic frameworks to ensure their safe deployment. We explore both the promise of LLMs in enriching psychiatric care and research through examples such as predictive analytics and therapy chatbots and risks including labor substitution, privacy concerns, and the necessity for responsible AI practices. We conclude by advocating for processes to develop responsible guardrails, including red-teaming, multi-stakeholder-oriented safety, and ethical guidelines/frameworks, to mitigate risks and harness the full potential of LLMs for advancing mental health.
Role of Interventional Radiology in the Management of Liver Transplant Complications in Children
Authors: Shah Ritu , Sharma Pareena , Variyam Darshan , Leshen Michael , Bertino Frederic J. , Zavaletta Vaz , Shah Jay 
Published: May 2024

AbstractLiver transplantation (LT) is a common solid organ transplant in the pediatric population. The common indications for LT, as well as its complications, differ between adults and children. This difference necessitates unique pediatric interventional radiology (IR) interventions. This article focuses on unique vascular complications occurring post-pediatric LT and highlights the importance of IR in their management. It explores IR's involvement in the workup of patients' pre-LT and management of complications following portosystemic shunts. We discuss advantages and disadvantages of different access routes as well as the prevalence, clinical picture, diagnosis, and management of complications after pediatric LT. These complications encompass portal vein stenosis, portal vein thrombosis, hepatic artery stenosis, hepatic artery thrombosis, hepatic artery pseudoaneurysm, arterioportal fistula, hepatic vein stenosis, and inferior vena cava stenosis. The choice of endovascular technique for a clinical indication depends on vascular anatomy, time since LT, and patient-specific factors. Transsplenic access is a useful alternative to transhepatic or transjugular access. The decision to place a stent in a child is influenced by the expected growth of the child and risk of focal narrowing at stent edge (because of recipient growth). Technical challenges in pediatric patient management, including uncooperative patients and sedation issues, must be considered. Pediatric LT complications can present with significant challenges in the posttransplant care of recipients and may lead to serious morbidity and graft failure if not managed effectively. IR techniques like balloon angioplasty, stent placement, thrombolysis, and embolization have demonstrated success in treating these complications, improving patient outcomes, and reducing long-term morbidity and mortality. By enhancing the understanding of medical practitioners and interventional radiologists about complex vascular complications, this article aims to contribute to better posttransplant care and improved outcomes for LT in pediatric populations. Continued collaboration between specialties and research will advance the field of pediatric LT and IR, to create even more effective treatment strategies.
Nursing Interventions in Neurocritical Care
Authors: Livesay Sarah L. 
Published: May 2024

AbstractHighly educated and skilled nursing care is critical to improving patient outcomes in general and in specialties like neurocritical care. Nursing interventions reflect nursing knowledge, critical thinking, and decision-making and is generally rooted in the nursing process. Nursing interventions are also a key focus of research to better understand how nursing care influences patient outcomes. This review describes the literature regarding nursing interventions in key neurocritical diagnoses and contextualizes it within the broader discussion about the nursing process and nursing interventions research. Publications about nursing interventions in neurocritical care emphasize key themes, including managing neurophysiologic parameters, providing psychosocial support, managing the environmental milieu, and interventions to prevent complications. Further study of how to best support nurses in collecting and interpreting data to form nursing interventions is needed, as is understanding the benefits and limitations of the nursing process in low- and middle-income countries.
The environmental impacts and sustainable pathways of the global diamond industry
Authors: Sun Yutong , Jiang Shangrong , Wang Shouyang 
Published: May 2024

AbstractMining diamond poses significant and potentially underestimated risks to the environment worldwide. Here, we propose a Diamond Environmental Impacts Estimation (DEIE) model to forecast the environmental indicators, including greenhouse gas (GHG) emissions, mineral waste, and water usage of the diamond industry from 2030 to 2100 in the top diamond production countries under different Shared Socio-economic Pathways (SSPs). The DEIE projection results indicate that the annual GHG emissions, mineral waste, and water usage of the global diamond industry will reach 9.65 Mt, 422.80 Mt, and 78.68 million m3 under the SSP1-1.9 scenario, and 13.26 Mt, 582.84 Mt, and 107.95 million m3 under the SSP2-2.6 scenario in 2100, respectively. We analyze the environmental impact heterogeneities and the associated driving factors across the major diamond production countries identified by our DEIE framework. In addition, we find that lab-grown diamonds can reduce annual GHG emissions, mineral waste, and water usage by 9.58 Mt, 421.06 Mt, and 66.70 million m3 in 2100. The lab-grown diamond substitution policy can annually save 714 million cubic meters of landfill space, harvest 255 million kilograms of rice, feed 436 million people, and lift 1.19 million households out of hunger. The lab-grown diamond substitution policy could contribute to the diamond industry’s GHG mitigation and sustainability efforts in a cost-saving manner.
Script-style degrees
Authors: Oderkerk Chiron A. T. , Beier Sofie 
Published: May 2024

Abstract
Previous work has shown that letters presented in special fonts with a high degree of script style have a poor
recognition rate. We investigated whether there is a breaking point where this deficit sets in. In an experimental paradigm using
a three-letter string partial report, 32 participants were presented with test stimuli of four new fonts with gradually increasing
script style. The results of our investigation showed that each level of increasing script style resulted in significantly worse
recognition. These findings demonstrate that for maximum letter recognition, the font style should be based on simple and familiar
letter skeletons.
High-energy, high-peak-power diode-pumped Q-switched Tm:YAG laser at 2.02 μm with tunable repetition rate from 100 Hz to 1000 Hz
Authors: Wu Jian-Hong , Du Shi-Feng , Wang Zhi-Chao , Gao Yun , Wang Hai-Long , Bo Yong , Cui Da-Fu , Peng Qin-Jun 
Published: May 2024

Abstract
A high-energy, high-peak-power Q-switched Tm:YAG laser at 2.02 μm with a tunable repetition rate from 100 Hz to 1000 Hz and pulse duration in the hundreds of nanoseconds is demonstrated. The high energy output was achieved by employing a thermally stable linear cavity, including two compact laser diode continuous-wave side-pumped Tm:YAG laser modules. For Q-switched operation, stable Q-switched performance from 100 Hz to 1000 Hz was realized at near-room temperature. At a repetition rate of 100 Hz, the laser delivered a maximum pulse energy of 215 mJ with a pulse duration of 124.4 ns, resulting in a peak power of up to 1.73 MW. When the repetition rate was tuned to 200 Hz, 500 Hz, and 1000 Hz, pulse energies of 212 mJ, 125.6 mJ, and 68.2 mJ were obtained, with pulse durations of 133.6 ns, 176.3 ns, and 262 ns, respectively. To the best of our knowledge, these results represent the highest single pulse energies and peak powers ever accomplished for a diode-pumped Q-switched Tm-doped 2 μm laser operating at high repetition rates exceeding 100 Hz.
Performance optimization for a scintillating glass electromagnetic calorimeter at the EIC
Authors: Crafts J. , Fatemi R. , Horn T. , Kalinkin D. 
Published: May 2024

Abstract
The successful realization of the EIC scientific program requires the design
and construction of high-performance particle detectors. Recent
developments in the field of scientific computing and increased
availability of high performance computing resources have made it
possible to perform optimization of multi-parameter designs, even
when the latter require longer computational times (for example
simulations of particle interactions with matter). Procedures
involving machine-assisted techniques used to inform the design
decision have seen a considerable growth in popularity among the EIC
detector community. Having already been realized for tracking and
RICH PID detectors, it has a potential application in calorimetry
designs. A SciGlass barrel calorimeter originally designed for EIC
Detector-1 has a semi-projective geometry that allows for
non-trivial performance gains, but also poses special challenges in
the way of effective exploration of the design space while
satisfying the available space and the cell dimension constraints
together with the full detector acceptance requirement. This talk
will cover specific approaches taken to perform this detector design
optimization.