bluuebunny/crossref_metadata_2025_split huggingface dataset:
A predictive model based on immune related genes for DLBCL
Authors: Huang Juan , Chen Xuefei , Xia Zuguang , Xu zizhen 
Published: March 2024

Abstract

Anti-tumor immunity is the front line of human response to malignancy, which may shad the light to early diagnosis of DLBCL. The introduction of immune related genes will bring new insight in the establishment of a predictive model to facilitate the diagnosis of DLBCL and guide its therapy. Hence, we established an immune related genes based risk model to predict the survival and progression of DLBCL. First, we identify immune related genes in DLBCL via GeneCards. With these genes, we conducted LASSO regression to select those genes with significant contribution to DLBCL and established a risk model to generate risk score. Validation of this risk model in internal test dataset and additional external validation datasets confirm the robust performance of this model. The risk score was also found to correlated with advanced stages and age over 60. Later, a nomogram combining risk score with other common clinical index (age, gender, stage) was established to comprehensively evaluate the survival probability of patients with DLBCL. To guide the treatment, we also found four novel second-line chemotherapies can be used to treat patients with different risk scores. Overall, this novel model can be utilized in clinical practices and guide the treatment.
Development of an iPSC-derived resident tissue macrophage-based platform for the in vitro immunocompatibility assessment of human tissue engineered matrices
Authors: Poulis Nikolaos , Martin Marcy , Hoerstrup Simon P. , Emmert Maximilian Y. , Fioretta Emanuela S. 
Published: March 2024

Abstract
Upon implanting tissue-engineered heart valves (TEHVs), blood-derived macrophages are believed to orchestrate the remodeling process. They initiate the immune response and mediate the remodeling of the TEHV, essential for the valve's functionality. The exact role of another macrophage type, the resident tissue macrophages (RTMs), has not been yet elucidated even though they maintain the homeostasis of native tissues. Here, we characterized the response of hRTM-like cells in contact with a human tissue engineered matrix (hTEM). HTEMs comprised intracellular peptides with potentially immunogenic properties in their ECM proteome. Human iPSC-derived macrophages (iMφs) could represent hRTM-like cells in vitro and circumvent the scarcity of human donor material. iMφs were derived and after stimulation they demonstrated polarization towards non-/inflammatory states. Next, they responded with increased IL-6/IL-1β secretion in separate 3/7-day co-cultures with longer production-time-hTEMs. We demonstrated that iMφs are a potential model for RTM-like cells for the assessment of hTEM immunocompatibility. They adopt distinct pro- and anti-inflammatory phenotypes, and both IL-6 and IL-1β secretion depends on hTEM composition. IL-6 provided the highest sensitivity to measure iMφs pro-inflammatory response. This platform could facilitate the in vitro immunocompatibility assessment of hTEMs and thereby showcase a potential way to achieve safer clinical translation of TEHVs.
Causal Associations between fish consumption and risk of cancer: a Mendelian randomization study
Authors: Zhang Liming , Wang Shubo , Cao Wangkai , Mo Xiuxin , Liu Yang , Wang Shaoqiang 
Published: March 2024

Abstract

Background：Previous studies have identified a correlation between the consumption of fish and the risk of cancer. However, the causal relationship between these two factors remains uncertain and necessitates further investigation.
Methods：The GWAS data were obtained from the public GWAS database. In two-sample Mendelian Randomization (MR) analysis, various methods including inverse variance weighting (IVW), mr-egger regression, simple mode, weighted median, and weighted model were employed to evaluate the causal association between fish consumption and the risk of cancer.
Results：The results of the MR analysis indicated a causal relationship between fish consumption and pancreatic cancer risk (IVW: OR=0.334, 95% CI: 0.137-0.863, P=0.023). However, no significant causal relationship was observed between fish consumption and other types of cancer, including bladder cancer (P=0.934), colorectal cancer (P=0.968), gastric cancer (P=0.788), liver cell carcinoma (P=0.732), lung cancer (P=0.596), melanoma skin cancer (P=0.198), oropharyngeal cancer (P=0.090), prostate cancer (P=0.075), and thyroid cancer (P=0.848). Heterogeneity was identified in the MR analysis between fish consumption and thyroid cancer tool variables (P=0.039), with no horizontal pleiotropy observed in any tool variables. The sensitivity analysis, employing the leave-one-out method, demonstrated the robustness of the MR analysis results.
Conclusion: The MR analysis results revealed a causal relationship between fish consumption and the risk of pancreatic cancer. However, no such causal relationship was observed between fish consumption and other cancers, including bladder cancer, colon cancer, gastric cancer, liver cell carcinoma, lung cancer, melanoma skin cancer, oropharyngeal cancer, prostate cancer, and thyroid cancer.
Administering Movement Assessments via Markerless Motion Capture Provides New Normative Values Over Clinical Tests
Authors: Johnson Paula K. , Kincaid Clay J. , Lush Nicholas L. , Jackson Stephen J. , Eggett Dennis , Feland J. Brent , Bigler Erin D. , Charles Steven K. 
Published: March 2024

Abstract
Background: Advances in markerless motion capture (MMC) provide an opportunity to improve clinical assessments of neuromuscular health. Conventional tests are generally subjective and/or coarse, making it difficult to identify subtle deficits and track progress. As part of a larger project, we leveraged MMC to create a quantitative motor assessment informed by several commonly used evaluations. The purpose of this researchwas to 1) seed a normative database for the MMC-mediated assessment and 2) tocompare modified test results to analogous conventional tests.
Methods: The modified assessment consisted of five tests: finger oscillation, tremor, visually guided movement, reaction time, and balance. We administered it to 132 healthy individuals (64 females) between 18 and 50 years old.
Results: Descriptive statistics for measures on the MMC-mediated movement assessment from a healthy population are presented. Correlations between the modified and conventional tests were weak but followed similar trends, namely finger oscillation results depended on age and sex; reaction and movement time slowed with age; and balance sway was greatest on a soft surface with eyes closed.
Conclusions: A user-friendly, inexpensive, quantitative motor assessment is feasible with MMC; however, a new set of normative values is required for MMC-mediated tests.
Efficiency of neural quantum states in light of the quantum geometric tensor
Authors: Dash Sidhartha , Vicentini Filippo , Ferrero Michel , Georges Antoine 
Published: March 2024

Abstract
Neural quantum state (NQS) ansätze have shown promise in variational Monte Carlo algorithms by their theoretical capability of representing any quantum state. However, the reason behind the practical improvement in their performance with an increase in the number of parameters is not fully understood. In this work, we systematically study the efficiency of restricted Boltzmann Machines (RBMs) to represent the ground states in different phases of the spin-1 bilinear-biquadratic model, as the hidden layer density α increases. We train our ansatz by minimizing two different loss functions: 1) energy, and 2) infidelity of the NQS ansatz w.r.t. that of the exact ground state. We observe that the accuracy of our ansatz saturates with α in both cases. We demonstrate that this can be explained by looking at the spectrum of the quantum geometric tensor (QGT). We find that the rank of the QGT saturates beyond a certain α, and we emphasize that it corresponds to the dimension of the relevant manifold for an optimized NQS. This provides a useful diagnostics for the practical representation power of an NQS ansatz.
Autonomous stabilization with programmable stabilized state
Authors: Li Ziqian , Roy Tanay , Lu Yao , Kapit Eliot , Schuster David 
Published: March 2024

Abstract

Reservoir engineering is a powerful technique to autonomously stabilize a quantum state. Traditional schemes involving multi-body states typically function for discrete entangled states. In this work, we enhance the stabilization capability to a continuous manifold of states with programmable stabilized state selection using multiple continuous tuning parameters. We experimentally achieve 84.6% and 82.5% stabilization fidelity for the odd and even-parity Bell states as two special points in the manifold. We also perform fast dissipative switching between these opposite parity states within 1.8 μs and 0.9 μs by sequentially applying different stabilization drives. Our result is a precursor for new reservoir engineering-based error correction schemes.
Relationship between ion currents and membrane capacitance in canine ventricular myocytes
Authors: Horváth Balázs , Kovács Zsigmond , Dienes Csaba , Barta Zalán , Szentandrássy Norbert , Magyar János , Bányász Tamás , Nánási Péter P. , Óvári József 
Published: March 2024

Abstract

Current density, the membrane current value divided by membrane capacitance (Cm), is widely used in cellular electrophysiology. This assumes that Cmand ion current magnitudes are linearly related, however there is no data about this in cardiac muscle. Therefore, we statistically analysed parameters of cardiac ion currents and Cm, and tested if dividing original parameters with Cmhad any effect. Relationship between the measured parameters and Cmwas tested with correlation analysis. Under CVC conditions, correlations were high for IK1, moderate for IKrand ICa,L, while negligible for IKs. In case of Ito1, correlation between peak amplitude and Cmwas negligible when analysing all cells together, however, the analysis showed high correlations when cells of subepicardial, subendocardial or midmyocardial origin were analysed separately. In APVC experiments IK1,IKrand ICa,Lparameters showed high correlations with Cm. For INCX, INa,lateand IKsthere were low-to-moderate correlations between Cmand these current parameters. Dividing the original current parameters with Cmeither “normalised” the originally non-normal distributions or reduced the effect size of non-normality. Furthermore, dividing with Cmshowed a tendency to reduce coefficient of variance, reaching statistical significance in some cases.
Changes in brain structure and function following exposure to oral LSD during adolescence: A multimodal MRI study
Authors: Harris Lila , Smith Zachary , Ortiz Richard J. , Athreya Deepti , Chang Arnold , Kulkarni Praveen P. , Ferris Craig F. 
Published: March 2024

Abstract

Background: LSD is a hallucinogen with complex neurobiological and behavioral effects. Underlying these effects are changes in brain neuroplasticity. This is the first study to follow the developmental changes in brain structure and function following LSD exposure in periadolescence.
Methods: Female and male mice were given vehicle, single or multiple treatments of 3.3 µg of LSD by oral gavage starting on postnatal day 51. Between postnatal days 90-120 mice were imaged and tested for cognitive and motor behavior. MRI data from voxel-based morphometry, diffusion weighted imaging, and BOLD resting state functional connectivity were registered to a mouse 3D MRI atlas with 139 brain regions providing site-specific differences in global brain structure and functional connectivity between experimental groups.
Results: Motor behavior and cognitive performance were unaffected by periadolescent exposure to LSD. Differences across experimental groups in brain volume for any of the 139 brain areas were few in number and not focused on any specific brain region. Multiple exposures to LSD significantly altered gray matter microarchitecture across much of the brain. These changes were primary associated with the thalamus, sensory and motor cortices, and basal ganglia. The forebrain olfactory system and prefrontal cortex and hindbrain cerebellum and brainstem were unaffected. The functional connectivity between forebrain white matter tracts and sensorimotor cortices and hippocampus was reduced with multidose LSD exposure.
Conclusion: Does early exposure to LSD in periadolescence have lasting effects on brain development? There was no evidence of LSD having consequential effects on cognitive or motor behavior when animal were evaluated as young adults 90-120 days of age. Neither were there any differences in the volume of specific brain areas between experimental conditions. The pronounced changes in indices of anisotropy across much of the brain would suggest altered gray matter microarchitecture and neuroplasticity. The reduction in connectivity in forebrain white matter tracts with multidose LSD and consolidation around sensorimotor and hippocampal brain areas requires a battery of tests to understand the consequences of these changes on behavior.
Joint inversion of surface and borehole seismic data using adjoint-state traveltime tomography for karst exploration
Authors: Cui Zhongxiong , Peng Dingmao , Tong Ping , Liu Yuzhu , Lou Kaifeng , Yang Kunping , Zheng Ru 
Published: March 2024

Abstract
Karst poses a major safety risk in engineering construction within limestone areas, yet accurate and efficient detection remains challenging for conventional geophysical prospecting methods. An expressway bridge is planning to be broadened out, the argillaceous limestone bedrock covered by ~40 m thick Quaternary overburden layer is designed as the bearing stratum for pile foundation. Karst is moderately developed in the bedrock. This study employs a recently developed eikonal-equation based adjoint state traveltime tomography method to analyze karst characteristics. The advantages of this novel tomography method include its independence of ray tracing, high accuracy in complex heterogeneous media, and computational efficiency. The joint inversion of surface and borehole seismic data further enhances resolution and reliability. Totally 225 nodal geophones were deployed along a 236.4m-long two-dimensional line, intersecting a borehole that reveals a semi-filled karst cave at the depth range of 42.2-46.7 m. The seismic results demonstrate three horizontally adjacent yet disconnected karst caves within the depth range of 40-50 m below the survey line. Each cave is accompanied by a subvertical low-velocity channel extending to the base of the silty clay layer. The width of the channel appears proportional to the size of the cave, suggesting its role as a runoff passage connecting the karst cave and overlying permeable gravel layer.
A machine learning paradigm for necessary observations to reduce uncertainties in aerosol climate forcing
Authors: Redemann Jens , Gao Lan 
Published: March 2024

Abstract

Uncertainties in estimates of climate cooling by anthropogenic aerosols have not decreased significantly in the last two decades, largely because observational constraints on crucial aerosol properties simulated in Earth System Models (ESMs) are insufficient. We describe a new machine learning (ML) based paradigm for deriving vertically-resolved aerosol properties that will help address this insufficiency in aerosol observations. Our paradigm uses high-accuracy suborbital lidar and in situ measurements to train advanced ML algorithms to predict higher-level aerosol properties from lidar observations only, with reanalysis data providing additional constraints. We use simulated UV-only observations as input to our ML algorithms to preview their predictive capabilities in anticipation of the ATLID (ATmospheric LIDar) system on the EarthCARE (Earth Cloud, Aerosol and Radiation Explorer) satellite, which will be launched in May 2024. For the simulated ATLID data, we show that our algorithms predict two crucial aerosol properties, aerosol light absorption (ABS) and cloud condensation nuclei (CCN) concentrations with unprecedented accuracy, yielding mean relative errors of 25% and 23%, respectively. These errors represent significant improvements over conventional aerosol retrievals. Applied to future satellite missions, the new paradigm has great potential for constraining ESMs and reducing uncertainties in their estimates of aerosol climate forcing and future global warming.
Timing of Traumatic Brain Injury as a Predictor of Dual Systems Development: Testing for Moderation Effects of Concurrent Age
Authors: Wojciechowski Thomas 
Published: March 2024

Abstract

There is limited work examining the developmental timing of traumatic brain injuries for influencing development of sensation-seeking and impulse control. Further, there is a dearth of research which examines whether the manifestation of effects of earlier traumatic brain injury appear at later ages via moderation by age. A subsample of participants from the Pathways to Desistance dataset was analyzed (N = 393). This subsample was comprised of all justice-involved youth in the sample who reported ever experiencing traumatic brain injury prior to baseline measurements. Mixed effects modeling was used to examine direct and moderated effects of interest. Results indicated that earlier age at first TBI was a significant predictor of lower impulse control, but not sensation-seeking. There were no significant moderation effects.
Hydrodynamic Forces due to Waves Loads on a Submerged Composite Cylindrical Structure in Water
Authors: Borah Pankaj , Hassan Mohammad , Anh Tran Tien , Konch Nijara 
Published: March 2024

Abstract
In the present study, we consider a submerged composite geometrical shape which contains two cylindrical plates in water of finite depth. The present problem of diffraction by these composite structures approach theoretically under the assumption of linear water wave theory. We use eigenfunction expansion method and separation of variable method to obtain an analytical expression of diffracted velocity potential for each region. The analytical expression also allows us to find the wave forces and overturning moment of the cylinders due to diffraction. Also, the theoretical results are present graphically for various parameters of the proposed geometrical structure. And we have seen significant effect on vertical force for different values of the radii of the cylindrical plate. More spike behaviour have been observed for horizontal force rather than vertical force and moment on the structure. Also, a graphical comparison have been done in between the present study and result given by Yao et al. (2015), which gives the accuracy of our results.
DLK1 as a Potential Biomarker and shows NOTCH signaling could be the potential target for Endometriosis: A Machine Learning Approach
Authors: Liao Liting , Pan Zhijian 
Published: March 2024

Abstract

Purpose:
The objective of this research is to pinpoint potential diagnostic markers for endometriosis and explore the immune infiltration patterns linked with this condition through the utilization of machine learning techniques.
Methods:
A total of five gene expression datasets (GSE7305, GSE7307, GSE25628, GSE23339, and GSE120103) were examined in order to identify differentially expressed genes (DEGs) that distinguish normal patients from those with endometriosis. The algorithms Random Forest and Lasso regression were utilised to identify diagnostic biomarkers. GSEA and Go&KEGG database were utilised to determine the potential pathway in which the biomarker was implicated. With the ailment. Furthermore, an assessment of immune cell infiltration in endometriosis tissues relative to normal tissues was conducted using CIBERSORT analysis. In order to investigate the relationship between diagnostic markers and immune cell populations, a correlation analysis was performed.
Results:
DLK1 (Delta-like 1 homolog) has emerged as a potential diagnostic biomarker for endometriosis, with indications suggesting that Notch signalling could be pivotal in the development of endometriosis.
Conclusion:
DLK1 emerges as a promising diagnostic biomarker for endometriosis, as our study indicates a complex interplay between immune dysregulation and disease pathogenesis. Notably, our findings elucidate that DLK1 regulates endometriosis through Notch signaling, highlighting the potential of Notch signalling as a therapeutic target for future interventions.
One and a half-stage Total Hip Arthroplasty with Custom-Made Articulating Spacers (CUMARS) for Management of Bilateral Destructive Hip Septic Arthritis – A Case Report
Authors: Hui-Shan Angela Lim , Siong Andy Yeo Kuei , Raghuraman Raghavan , King Charles Kon Kam , Moo Ing How 
Published: March 2024

Abstract
Septic arthritis (SA) is a rare but potentially debilitating condition that can have quality-of-life impacting consequences. Prompt diagnosis and management is pivotal for early infection eradication and prevention of severe joint destruction. However, in a severely destructed joint, surgical options include resection arthroplasty or total hip arthroplasty (THA). Two-stage THA has been described in native hip SA with joint destruction while 1.5-stage THA has only been described in infected THA. This led to the consideration of 1.5-stage THA for management of chronic destructive hip SA. We report a 67-year-old patient with functional decline over eight months. Work-up revealed raised inflammatory markers and bilateral destructive hip SA. He underwent bilateral 1.5-stage THA with antibiotic-loaded Custom-Made Articulating Spacers (CUMARS). Post-operatively, he remains infection free is progressing well with rehabilitation. Management of SA varies largely depending on infection duration, activity level and extent of joint destruction. In primary destructive hip SA, a 1.5-stage THA with CUMARS can be considered due to the benefits of effective infection eradication, cost-effectiveness with reduced physical and psychological burden in avoiding a second operation, yet not precluding the possibility of a two-stage exchange THA if required.