bluuebunny/crossref_metadata_2025 huggingface dataset:
Thioridazine Induces Increase in Expression of the Pyruvate Transporter MPC1 Associated with Immune Infiltration in Malignant Tumors
Authors: Bogomolova E. A. , Murashko M. M. , Stasevich E. M. , Uvarova A. N. , Zheremyan E. A. , Korneev K. V. , Kuprash D. V. , Demin D. E.
Published: February 2025

The MPC1 gene is involved in the transport of pyruvate into mitochondria, playing an important role in metabolic processes. Recently, it has been reported that higher MPC1 expression correlates with an increased number of immune cells in human cervical and lung cancers, indicating an enhanced antitumor immune response. Reduced MPC1 levels in gastric tumors are associated with a more severe disease course. Correlational analysis of the MPC1 gene in human lung, hippocampus and frontal cortex tissue samples based on data from the GTEx database revealed associations of this gene with schizophrenia, non-small cell lung cancer, and immune diseases. Our experiments showed that the mRNA level of the MPC1 gene in the non-small cell lung cancer cell line A549 increases 5-fold under the influence of the schizophrenia neuroleptic thioridazine. The observed elevation of MPC1 level may cause tumor infiltration by immune cells, complementing the previously reported data indicating the ability of thioridazine to slow cell growth, induce apoptosis and reduce the ability of cells to migrate.
Evaluating the implementation of a digital coordination centre in an Australian hospital setting: a mixed method study protocol
Authors: Freeman Sam , Malone Colin , Black Wynona , Capurro Daniel , Chapman Wendy W , Fazio Timothy N , Gazarek Jana , Layton Meredith J , Lyons Kayley , Pumo Laura , Plumb Samantha , Astbury Brad
Published: February 2025

Introduction

This protocol outlines a mixed methods study evaluating a new Digital Coordination Centre (DCC) at the Royal Melbourne Hospital (RMH), Melbourne, Australia. While coordination centres show potential for impact, evidence on effective implementation in the Australian context remains scarce. This study aims to address this gap.

Methods and analysis

The evaluation involves a two-stage approach: a process evaluation to clarify DCC design and identify implementation factors, and an initial outcome evaluation to assess short and medium term outcomes. A developmental approach will support continuous improvement, and implementation science theories applied to unpack change processes. Data sources will include interviews, project documentation and observations, with qualitative and quantitative analyses targeting metrics like emergency department boarding and length of stay.

Ethics and dissemination

This study has been approved by the RMH Human Research Ethics Committee (QA2023089). Findings will be shared through peer-reviewed publications and conference presentations.
Comparison of syndromic surveillance and hospital discharge data for unintentional drowning in metropolitan Houston, Texas, USA
Authors: Peoples Nicholas , Jones Jennifer L , Camp Elizabeth A , Levine Ned Norman , Shenoi Rohit P
Published: February 2025

Background

Syndromic surveillance, which provides real-time data, may provide timely drowning surveillance compared with hospital discharge data where the release of data may be delayed. We compared data on hospital visits for unintentional drowning identified in hospital discharge and syndromic surveillance data sets for accuracy and completeness.

Methods

We compared data for hospital visits for unintentional drowning identified in the Texas Health Care Information Collection hospital discharge and syndromic surveillance data sets for metropolitan Houston, Texas, USA from 2019 to 2021. Hospital visits included emergency department-only visits and hospital admissions. We compared time-series visualisation of hospital visits between data sets. Injury burden, demographics and intercounty distribution of drowning patients were compared using the Pearson correlation coefficient for continuous data and the Pearson χ
2
goodness-of-fit test for categorical data.

Results

We identified 860 hospital discharge visits and 929 syndromic surveillance visits (quarterly median (IQR): 64.0 (26.8–117.5); 54.5 (28.0–132.3), respectively) for unintentional drowning. Time-series visualisation showed a high correlation between syndromic surveillance and hospital discharge visits (correlation coefficient: 0.93 (95% CI: 0.77 to 0.98)). There were small differences by race, ethnicity and county for all ages and for paediatrics and large differences by sex for all ages in the number of unintentional drowning hospital visits identified within the data sets.

Conclusions

Regional unintentional drowning burden and trends are highly correlated between syndromic surveillance and hospital discharge data. Small differences by race, ethnicity and county and large differences by sex in the number of unintentional drowning hospital visits were identified between data sets. Syndromic surveillance is useful for real-time surveillance of unintentional drowning.
Pembrolizumab hybrid dosing is non-inferior to flat dosing in advanced non-small cell lung cancer: a real-world, retrospective bicenter cohort study
Authors: Smeenk Michiel M , van der Noort Vincent , Hendrikx Jeroen M A , Abedian Kalkhoran Hanieh , Smit Egbert F , Theelen Willemijn S M E
Published: February 2025

Background

Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment but come with high costs. Alternative ICI dosing strategies could reduce costs without losing efficacy. However, clinical efficacy data are lacking.

Methods

In this retrospective cohort trial, consecutive patients with advanced non-small cell lung cancer (NSCLC) who received ≥1 cycle pembrolizumab±chemotherapy at two tertiary institutions were included. Hybrid dosed patients received either 100, 150 or 200 mg pembrolizumab every 3 weeks or double every 6 weeks depending on their weight: <65 kg, 65–90 kg or >90 kg, respectively. Standard-of-care flat dosed patients received 200 mg every 3 weeks or 400 mg every 6 weeks. Overall survival (OS) and progression-free survival (PFS) were assessed by Kaplan-Meier estimation, compared by log-rank test and HRs were calculated with the Cox proportional hazards model in both unweighted and inverse probability of treatment weighted (IPTW) cohorts. Non-inferiority margin was set at an HR of 1.15.

Results

In total, 375 patients and 391 patients were included and median follow-up was 43.1 and 61.0 months in the hybrid and flat dose cohort, respectively. OS was non-inferior in the hybrid dose cohort compared with the flat dose cohort: median 17.7 months (95% CI 14.9 to 20.9) vs 11.8 months (95% CI 9.3 to 13.8, HR 0.76, 95% CI 0.65 to 0.90, p<0.0001 for non-inferiority). After correcting for confounders by IPTW, OS remained non-inferior (HR 0.76, 95% CI 0.63 to 0.91, p<0.0001 for non-inferiority). PFS in the hybrid cohort was also non-inferior to the flat dose cohort with a median of 6.4 months (95% CI 5.7 to 7.7) vs 4.6 months (95% CI 3.9 to 5.5, HR 0.82, 95% CI 0.70 to 0.96, p<0.0001 for non-inferiority). In total, 26.2% (or 52.5 mg per cycle, p<0.0001) pembrolizumab was saved in the hybrid dose cohort accounting to US$36 331.36 per patient.

Conclusions

In this retrospective analysis of a large cohort of advanced NSCLC patients treated with pembrolizumab±chemotherapy, OS of hybrid dosed patients was non-inferior to flat dosed patients. OS remained non-inferior after correcting for possible confounding factors. This hybrid regimen resulted in significant savings of pembrolizumab and costs.
Complete metabolic response as early predictor of long-term efficacy after adoptive T cell therapy using tumor-infiltrating lymphocytes
Authors: Borch Troels Holz , Andersen Rikke , Hendel Helle Westergren , Madsen Kasper , Ellebaek Eva , Marie Svane Inge
Published: February 2025

Introduction:Adoptive cell therapy using tumor-infiltrating lymphocytes (TILs) has proved to be an effective treatment for metastatic melanoma, even in patients failing anti-PD-1 blockade. Nevertheless, progression is observed in a substantial subgroup of patients following an initial objective response to treatment with TILs. These patients might benefit from additional consolidating treatment before clinical progression, but thus far, it is not possible to identify this subgroup of patients prone to progress. In this study the predictive value of early metabolic response after TIL therapy is explored.

Materials and methods:60 patients treated with TIL therapy in 4 different clinical trials and with available [18F]2-fluoro-2-deoxy-d-glucose positron emission tomography-CT (FDG-PET/CT) scans at baseline and at least one follow-up scan 6–8 weeks and/or 12–16 weeks post-TIL infusion were included.

Results:Obtaining complete metabolic response (CMR) was associated with significantly superior median overall survival (mOS) compared with not obtaining CMR (p<0.0001). Of particular interest, metabolic response divided RECIST partial responders (22 patients) into two groups with significantly different clinical outcomes. Neither mOS (range 32.2–149.8+) nor median progression-free survival (mPFS; range 20.7–123.4+) were reached for patients with partial response (PR)/CMR (10 patients), whereas patients with PR/non-CMR (12 patients) had a mOS of 28.7 months (p=0.0016) and a mPFS of 7.8 months (p<0.0001).

Overall, not achieving a CMR was associated with a short mPFS of 3.2 months, and 97.9% (47/48) of all patients in this group progressed within 12 months.

Conclusion:In conclusion, early CMR is a strong predictor of long-term survival after TIL therapy in metastatic melanoma patients. Furthermore, FDG-PET/CT scans appear superior to CT scans for providing early prognostic information after TIL therapy in melanoma and can be used to tailor patient-specific management and follow-up strategies.
Role of spinal Barrier-to-Autointegration Factor (BAF) in the epigenetic silencing of the mu-opioid receptor gene in neuropathic pain
Authors: Hsieh Ming-Chun , Lai Cheng-Yuan , Lin Tzer-Bin , Wang Hsueh-Hsiao , Cheng Jen-Kun , Yang Po-Sheng , Hsu Chieh-Chien , Chou Dylan , Peng Hsien-Yu
Published: February 2025

Background

Neuropathic pain presents a significant clinical challenge, with spinal cord epigenetic mechanisms playing a critical role in its development. This study investigated the impact of nerve injury on the Barrier-to-Autointegration Factor (BAF) in the rat spinal dorsal horn.

Methods

Adult Sprague-Dawley rats underwent spinal nerve ligation (SNL) to model neuropathic pain. Pain behaviors were assessed using von Frey and burrow tests. Biochemical analyses measured mRNA and protein expression in the dorsal horn.

Results

SNL elevated BAF levels, which interacts with LEM domain–containing protein 2 (LEMD2), activating the histone-modifying enzyme EZH2. This enzyme adds a gene-silencing mark, H3K27me3, to the promoter region of theOprm1gene, which encodes the mu-opioid receptor. Consequently, the expression of the mu-opioid receptor is decreased, potentially contributing to neuropathic pain. Using gene knockdown techniques to reduce BAF expression, we reversed the changes in LEMD2, EZH2, and mu-opioid receptor expressions induced by SNL and attenuated mechanical allodynia. Additionally, knocking down LEMD2 disrupted the binding of BAF to theOprm1promoter, without affecting BAF levels. Inhibiting EZH2 also reversed the signaling without altering BAF and LEMD2 levels. Glutamate activated BAF pathways via pNR2B receptors, and NR2B receptor blockade reversed this effect.

Conclusion

These findings suggest that spinal pNR2B receptors may activate BAF, which interacts with LEMD2 to enhance EZH2-mediated H3K27me3 at the mu-opioid receptor promoter after nerve injury. Targeting this pathway may offer novel strategies to inhibit neuropathic pain.
Simulating toponium formation signals at the LHC
Authors: Fuks Benjamin , Hagiwara Kaoru , Ma Kai , Zheng Ya-Juan
Published: February 2025

We present a method to simulate toponium formation events at the LHC using the Green’s function of non-relativistic QCD in the Coulomb gauge, which governs the momentum distribution of top quarks in the presence of the QCD potential. This Green’s function can be employed to re-weight any matrix elements relevant for

$$t{\bar{t}}$$

t

t

¯

production and decay processes where a colour-singlet top–antitop pair is produced in the S-wave at threshold. As an example, we study the formation of

$$\eta _t$$

η
t

toponium states in the gluon fusion channel at the LHC, combining the re-weighted matrix elements with parton showering.
Star shearing season: transient signals in wave-like dark matter experiments from black hole formation
Authors: de Giorgi Arturo , Jaeckel Joerg
Published: February 2025

Ordinary matter coupled to light weakly interacting bosons can lead to the formation of a macroscopic bosonic field in the vicinity of large matter concentrations such as ordinary or neutron stars. When these objects are turned into black holes due to a supernova or a binary merger this “hair” could be “shorn” off. Part of the field configuration would then be released leading to an outgoing field wave. For small masses this field transient remains rather compact and can induce a transient signal in experiments, in particular those that look for wave-like dark matter. This signal can be correlated with the corresponding astrophysical signal of the event. In this note, we consider a variety of couplings and the associated signals and estimate the corresponding sensitivities.
Correlated systematic uncertainties and errors-on-errors in measurement combinations with an application to the 7–8 TeV ATLAS–CMS top quark mass combination
Authors: Canonero Enzo , Cowan Glen
Published: February 2025

The Gamma Variance Model is a statistical model that incorporates uncertainties in the assignment of systematic errors (informally called errors-on-errors). The model is of particular use in analyses that combine the results of several measurements. In the past, combinations have been carried out using two alternative approaches: the Best Linear Unbiased Estimator (BLUE) method or what we will call the nuisance-parameter method. In this paper, we obtain a general relation between the BLUE and nuisance-parameter methods when the correlations induced by systematic uncertainties are non-trivial (i.e., not

$$\pm 1$$

±
1

or 0), and we then generalise the nuisance-parameter approach to include errors-on-errors. We then present analytical formulas for estimating central values, confidence intervals, and goodness-of-fit when errors-on-errors are incorporated into the statistical model. To illustrate the properties of the Gamma Variance Model, we apply it to the 7–8 TeV ATLAS–CMS top quark mass combination. We also explore a hypothetical scenario by artificially adding a fictitious measurement as an outlier to the combination, illustrating a key feature of the Gamma Variance Model – its sensitivity to the internal consistency of the input data – which could become relevant for future combinations.
Research on Efficient Algorithms of Deep Learning in Visible and Infrared Light Image Fusion
Authors: Xiao Zeliang , Ye Jiafa
Published: February 2025

Image fusion plays a vital method that integrates data from infrared (IR) and visible light images, to improve visual data quality for specific applications, like, surveillance and object detection. This research investigates efficient algorithms for deep learning (DL)-based image fusion, in the concept of architectures that utilize the complementary characteristics of IR and visible light images. It employs data comprising IR and visible light images captured under varying environmental conditions, ensuring a diverse representation of scenarios. The images perform pre-processing methods such as noise reduction and histogram equalization to optimize the fusion quality. Multi-scale feature extraction is used for feature extraction. This research presents a novel approach leveraging a synergistic fibroblast fine-tuned efficient convolutional neural network (SF-ECNN) for fusion. The SF-ECNN model is analyzed using various metrics and evaluations. Evaluation metrics reveal an EN value of 7.2368, VIF of 0.8124, SD of 95.3515, SF of 19.5314, and AG of 7.3571. Thus, the outcomes exhibit significant improvements in comparison to current advanced fusion techniques, underscoring the efficacy and efficiency of the methodology in producing fused images of superior quality.
Algorithm Fusion and Multi-Model Integration Method in Media Communication Effect Evaluation
Authors: Jiao Rui
Published: February 2025

The media communication effect refers to the influence that various forms of media, such as television, social media, radio, and digital platforms, have on individuals’ thoughts, emotions, behaviors, and attitudes. Understanding how the media affects public opinion, information dissemination, and social norms is essential for those studying communication studies, marketing, politics, and psychology, among other disciplines. This study uses an innovative approach that combines algorithm fusion and multi-model integration to enhance the evaluation process of media communication effects. However, constructing an opinion model effectively is severely restricted by the lack of labeled data. To address this issue, this study proposed a novel approach for public opinion sentiment analysis using multi-model fusion with the moth flame optimizer with refined long short-term memory (MFO-RLSTM) model. To improve the accuracy of sentiment identification, the attention mechanism is also included to concentrate on important emotional features. Sentiment analysis of public opinion is conducted using data from social media platforms like Twitter, Facebook, and Instagram, which collect user-generated content through images, text, and audio. This method improves sentiment feature learning efficiency by utilizing the benefits of multi-models, even while labeled data are scarce. The data were preprocessed using Noise removal and tokenization for obtained data. A convolutional neural network (CNN) is used to extract both local and global features. This fusion of local and global characteristics offers a thorough comprehension of public sentiment. Performance is assessed using F1-score, recall, accuracy, and precision. The findings show that the suggested approach significantly enhances sentiment analysis when applied to media communication.
An Intelligent Sensing Algorithm for Early Warning of Equipment Failure in Hydropower Stations
Authors: Li Xiaofei , Ding Qiang , Wang Haoyu , Li Ang
Published: February 2025

In view of the problem that hydropower station equipment is prone to multiple faults during operation, and to detect SF6 gas leakage faults, this paper proposes a gas detection method based on differential photoacoustic spectroscopy. First, differential absorption photoacoustic spectroscopy technology is used to detect flowing SF6 gas. The system includes a detection module, acquisition module, sampling module, amplification module, control module, and calculation module. Nitrogen is used as power to control the six-way valve for information exchange. SF6 gas is quantitatively injected, samples are transmitted, and the photoacoustic signal is amplified and analyzed. Then, the equipment state space model is constructed, and the particle filter algorithm is applied for state variable estimation. The process is divided into state prediction, update, and resampling. Finally, the residual value is obtained by comparing the real-time measured value and the estimated value, and an adaptive threshold method is added to detect equipment faults and avoid false alarms. The experimental results show that the system in this paper detects a vibration signal of 0.89[Formula: see text]V when the current is 1000[Formula: see text]A, and has a good early warning effect on contact system faults and point faults.
Imaging the quantum corrected AdS black hole via the AdS/CFT correspondence
Authors: Wang Yun-Zhi , Li Guo-Ping , He Ke-Jian
Published: February 2025

In this paper, we applied AdS/CFT correspondence to carefully study images of quantum-corrected AdS black hole from the viewpoint of the wave optics. The result shows that the absolute amplitude of response function always displays an interference pattern that comes from the diffraction of the scalar wave. The strength of interference increases with quantum parameter a, while decreases with the event horizon [Formula: see text] and source parameters [Formula: see text]. For the images of dual black hole, one can see at position [Formula: see text] that it is a perfect Einstein ring with a series of concentric striped patterns around it, while it will be broken at other positions. This result well coincides with the geometrical optics, i.e. the radius of ring. The feature of images of dual black hole is closely related to the parameters of black hole, source, and optics system. Especially, the effect of quantum parameter a on images of AdS black hole is very important. For instance, it gives rise to the fact that the image would evolve into one light spot at [Formula: see text], rather than two which is usually found in Schwarzschild AdS black hole. Finally, since the holographic images constructed from observables of the quantum system focus on testing the existence of dual black hole, we conclude that the holographic images of quantum corrected AdS black hole presented in this paper would be more helpful for this target.
Non-singular cyclic cosmology: A noncommutative f(R) approach
Authors: Astorga-Moreno J. A. , Mena-Barboza E. A. , Pérez-Payán S.
Published: February 2025

The present work investigates the implications of incorporating noncommutativity into [Formula: see text] gravity. In particular, we explore the proposed framework in a flat Friedmann–Robertson–Lamaître–Walker background. We introduced the noncommutativity between the coordinates and the momenta, in a [Formula: see text]-dimensional phase space. Applying the machinery of canonical quantization we obtain the noncommutative version of the Wheeler–DeWitt equation, and using a WKB-type approximation we can get analytical solutions for the model examining two cases for the leading noncommutative coefficient. In the first, solutions for the scale factor present a structure similar to previous solutions reported in the literature. The second one, in contrast to its commutative counterpart, the solutions obtained for the scale factor show that its evolution has the behavior of a non-singular cyclic universe. Also, we present the demeanor of the Hubble parameter and the effective equation of state parameter, where the latter crosses the “[Formula: see text]” divide line.
Similarities and Differences in the Behavior of the Excitatory and Inhibitory Analog Hopfield Neural Networks with Three Time Delays
Authors: Bondarenko Vladimir E.
Published: February 2025

Hopfield neural networks were widely studied due to their capability of simulating properties of the brain and its sub-networks, as well as their extensive applications for signal and image processing, pattern recognition, and optimization. While a significant number of investigations were devoted to the stability analysis of the Hopfield neural networks, less attention was paid to the analysis of the network behavior in the instability regions. The purpose of this study is to investigate the activity patterns that are generated by the Hopfield neural network composed of three sub-networks with three time delays and coupled by excitatory or inhibitory connections. It is found that both types of neural networks (excitatory and inhibitory) demonstrate synchronous behavior at the steady-state. An increase of the time delay in one or two inhibitory sub-networks results in multiresonances, discrete oscillation periods, and a period-tripling bifurcation. The novel findings are: (1) while the stability threshold of the purely excitatory network does not depend on the time delays, the threshold for purely inhibitory network nonmonotonically depends on the time delays and sub-network configuration; (2) numerical and analytical studies demonstrate that in the neural network that contains a sub-network with much smaller time delay than those in other sub-networks, the interval until the output saturation dramatically decreases compared to the neural network with larger and identical time delays; (3) numerical and analytical studies reveal the existence of quasi-steady-state sub-levels during neural network output development until saturation, which are connected to the neural network structure; and (4) maximum oscillation amplitudes and oscillation periods in the purely inhibitory neural network with three time delays as 2D functions of the time delays demonstrate qualitatively more complex behavior than the neural network with two time delays.
REGULAR VERSUS IRREGULAR RUNNING EXERCISE OF YOUNG WOMEN: A PRELIMINARY CASE STUDY BASED ON 32 WEEKS CONTINUOUS HRV MONITORING
Authors: FENG SHEN , LIN GUANYANG , LIN XIYING , JIANG YUELONG , PANG ZHIQIANG , ZHANG HAN
Published: February 2025

Purpose: This study aimed to present a preliminary case analysis of the impact of regular and irregular exercise on autonomic regulation and cardiorespiratory performance in young women by comprehensively investigating the nocturnal heart rate variability (HRV) parameters. Methods: Two young female participants were monitored using noncontact ballistocardiography technology to assess their nocturnal HRV daily for 32 weeks. Participant 1 was a 28-year-old woman who engaged in regular running (approximately three times a week, 5[Formula: see text]km each time), and participant 2 was a 24-year-old woman who participated in irregular running (typically ≤3 times a week, 5[Formula: see text]km each time). Additionally, cardiorespiratory fitness was evaluated through maximal oxygen uptake (VO2max), with running data and VO2max measurements recorded using a wrist bracelet device. Results: During the experiment, the VO2max value of participant 1 increased by 11.46%, whereas that of participant 2 increased by 3.42%. A correlation was observed between VO2max and HRV, particularly in the high-frequency (HF) component. The correlation coefficient between ln HF and VO2max of participant 1 was 0.64, whereas that of participant 2 was 0.28. Additionally, participant 1 exhibited lower HRV complexity than participant 2, with fuzzy entropy values for ln HF of 0.12 and 0.35, respectively. Conclusions: Long-term assessment revealed a correlation between VO2max and nocturnal HRV in young female exercisers, particularly for the HF index. However, these findings may not apply to other populations, such as men or older individuals.
Low Temperature Synthesis of Silver Cyanamide Modified Graphite Phase Carbon Nitride and Its “Dual Channel” Photocatalytic Hydrogen Peroxide Production Ability
Authors: Chen Jipeng , Ji Chunyu , Wang Yanjuan , Li Qiang , Zhang Jian , Hu Shaozheng
Published: February 2025

Metal cyanamide compounds represent a new class of solar photoactive materials. In this study, an [Formula: see text]/g-C3N4 composite catalyst was synthesized using an in situ precipitation method at low temperatures. The catalyst was characterized by XRD, TEM, UV-Vis, XPS and other analytical techniques. Compared to conventional synthesis at normal temperature, the low-temperature approach significantly reduces the particle size of [Formula: see text] and enhances its dispersion on the surface of g-C3N4, leading to improved charge separation efficiency and photocatalytic hydrogen peroxide production. When the loading capacity of [Formula: see text] is 12%, the [Formula: see text]/g-C3N4 composite catalyst demonstrates optimal [Formula: see text] production performance. The [Formula: see text] concentration in the system reaches 123 [Formula: see text]mol[Formula: see text], which is 2.3 and 4.1[Formula: see text]times higher than that of neat CN and [Formula: see text]. Additionally, a possible “dual channel” reaction mechanism for photocatalytic hydrogen peroxide production was proposed.
7. Analytical Models
Authors: Lee M. A. , Preene M.
Published: February 2025

Analytical models can be powerful tools which aid the assessment and quantification of groundwater behaviour in engineering projects. Analytical models are simplified representations of reality that typically take the form of empirical, closed form mathematical or numerical solutions. A sound conceptual understanding, based on comprehensive observed data, is fundamental to successfully using analytical models to improve understanding and inform engineering design decisions.

This chapter includes examples of commonly used analytical models and sets out how to select an appropriate model as part of the development of a considered modelling strategy. It also sets out how to select appropriate boundary conditions and material property inputs, and how to assess the degree of confidence that can be placed on model outputs. Potential limitations and commonly encountered constraints in the use of analytical models are presented and the effective communication of model results, including residual uncertainty and risk, is discussed.
Multi-Anchor Offset Representation based Coarse-to-Fine Diffusion Model for Human Pose Estimation
Authors: Li Qianxing , Kong Dehui , Li Jinghua , Chen Dongpan , Yin Baocai
Published: February 2025

3D human pose estimation (3DHPE) in images aims at estimating 3D joint positions from images. The existing 3DHPE methods usually define the loss function as the error measured by Euclidean distance between the locations of the predicted joints and the ground truth of joints, which confuses two different kinds of errors with obviously different characteristics and should not be processed equally: the error caused by different pose structures and the others. However, The existing human pose representations are not suitable to distinguish these two kinds of errors. In order to tackle this problem, we propose a novel Multi-Anchor Offset human Representation (MAOR) for human pose, which locates the position of each joint using its offsets from a group of selected high-precision joints named as Multi-Anchor. Making use of MAOR, the pose error related to the distortion of spatial structure can be measured independently from other errors, which is helpful to promote the accuracy of pose estimation. We then propose a novel MAOR based coarse-to-fine diffusion model (MAOR-DiffPose) for pose estimation, which optimizes different types of errors of poses step by step. Firstly, a MAOR-based Denoising Process (MDP) is devised to explicitly optimize spatial structures of 3D poses by using MAOR to describe poses and improves the inductive learning ability of MAOR-DiffPose by extracting view-independent features. Secondly, a Joint Coordinate based Denoising Process assisted by MAOR (JCDPaM) is devised to expand the input features meaningfully by combining MAOR with the pose representation based on joint coordinate and optimize the joint coordinates of 3D poses with the assistance of MAOR. MAOR-DiffPose realizes accurate 3DHPE by iterating MDP and JCDPaM modules. Comprehensive experimental results on widely used 3DHPE benchmarks Human3.6M and MPI-INF-3DHP show that the proposed method achieves the competitive performance compared with the state-of-the-art methods.
Comprehend Then Predict: Prompting Large Language Models for Recommendation with Semantic and Collaborative Data
Authors: Dong Zhiang , Hu Liya , Chen Jingyuan , Wang Zhihua , Wu Fei
Published: February 2025

Recommender systems primarily utilize user-item interactions (
i.e.
, collaborative information) and auxiliary textual information (
i.e.
, semantic information) to infer user preferences and provide recommendations. With the advancement in large language models (LLMs), attempts have been made to incorporate their remarkable language comprehension capabilities into recommendation tasks. However, existing LLM4Rec methods face challenges in seamlessly integrating both collaborative and semantic information, as there is an inherent gap between these two types of data. Moreover, these methods struggle to capture the fine-grained distinctions in user preferences, which are essential in recommendation tasks, due to the loss design of LLMs. To address these issues, we propose a multi-stage prompt tuning method for leveraging pre-trained LLMs in various recommendation tasks, named
SCRec
. Specifically, SCRec leverages
S
emantic and
C
ollaborative information as supervision signals in two distinct stages: the semantic prompt-tuning stage and the collaborative prompt-tuning stage. This method breaks down user and item representations into semantic and collaborative perspectives, enabling a pre-trained LLM to first deduce the qualitative preferences of users over items from semantic information, and then generate quantitative recommendations from collaborative information. In addition, we propose a meta-mapping approach to provide personalized mapping functions for encoding collaborative information and integrate a novel numeric-informed head based on MSE loss for LLM in the second stage, which helps to better capture fine-grained distinctions in user preferences. Experiments on three public datasets for rating prediction and top-N recommendation tasks demonstrate that our method surpasses both conventional and LLM-based techniques, showing the strength of sequentially merging semantic and collaborative information in recommendation tasks.
Allostatic load and cardiometabolic health in a young adult South African population: the African-PREDICT study
Authors: Wentzel A. , Smith W. , Jansen van Vuren E. , Kruger R. , Breet Y. , Wonkam-Tingang E. , Hanchard N. A. , Chung S. T.
Published: February 2025

This is the first study to assess the effect of stress, as a composite allostatic load score, on micro-, macrovascular, and central cardiac features in healthy emerging and young adults, independent of traditional cardiovascular risk markers. It exemplifies independent stress-induced changes throughout the cardiovascular tree, which may increase the risk of cardiometabolic complications, masked hypertension, and prediabetes. Sustained stress may be a key etiological factor in cardiometabolic disease development in a young population.
Supplemental Figure 9 from Intra- and Extrahepatic Cholangiocarcinomas Display Differing Sensitivities to NK Cell Lysis and Modulate NK Cell Function through Shared and Distinct Pathways
Authors: Nguyen Ngan , Henrich Ian C.
Published: February 2025

Figure S9. Difference in relative immune abundance between NKHigh and NKLow iCCA patients.
Supplementary Table 9 from CTR-FAPI PET Enables Precision Management of Medullary Thyroid Carcinoma
Authors: Kong Ziren , Li Zhu , Cui Xi-Yang , Wang Jian , Xu Mengxin , Liu Yang , Chen Junyi , Ni Song , Zhang Zongmin , Fan Xiaowei , Huang Jiazhao , Lin Yansong , Sun Yuning , He Yuqin , Lin Xinfeng , Meng Tianyu , Li Han , Song Yixuan , Peng Boshizhang , An Changming , Gao Chenyan , Li Nan , Liu Chen , Zhu Yiming , Yang Zhi , Liu Zhibo , Liu Shaoyan
Published: February 2025

Tumor uptake stratified by newly diagnosed or persistent MTC
Supplementary Table 5 from CTR-FAPI PET Enables Precision Management of Medullary Thyroid Carcinoma
Authors: Kong Ziren , Li Zhu , Cui Xi-Yang , Wang Jian , Xu Mengxin , Liu Yang , Chen Junyi , Ni Song , Zhang Zongmin , Fan Xiaowei , Huang Jiazhao , Lin Yansong , Sun Yuning , He Yuqin , Lin Xinfeng , Meng Tianyu , Li Han , Song Yixuan , Peng Boshizhang , An Changming , Gao Chenyan , Li Nan , Liu Chen , Zhu Yiming , Yang Zhi , Liu Zhibo , Liu Shaoyan
Published: February 2025

Inter-reader agreement
Supplementary Figure S6 from The UBA1–STUB1 Axis Mediates Cancer Immune Escape and Resistance to Checkpoint Blockade
Authors: Bao Yi , Cruz Gabriel , Zhang Yuping , Qiao Yuanyuan , Mannan Rahul , Hu Jing , Yang Fan , Gondal Mahnoor , Shahine Miriam , Kang Sarah , Mahapatra Somnath , Chu Alec , Choi Jae Eun , Yu Jiali , Lin Heng , Miner Stephanie J. , Robinson Dan R. , Wu Yi-Mi , Zheng Yang , Cao Xuhong , Su Fengyun , Wang Rui , Hosseini Noshad , Cieslik Marcin , Kryczek Ilona , Vaishampayan Ulka , Zou Weiping , Chinnaiyan Arul M.
Published: February 2025

Supplementary Figure S6. UBA1 inactivation upregulates interferon signaling via stabilizing JAK1.
Supplementary Table S1 from Glioblastoma Cortical Organoids Recapitulate Cell-State Heterogeneity and Intercellular Transfer
Authors: Mangena Vamsi , Chanoch-Myers Rony , Sartore Rafaela , Paulsen Bruna , Gritsch Simon , Weisman Hannah , Hara Toshiro , Breakefield Xandra O. , Breyne Koen , Regev Aviv , Chung Kwanghun , Arlotta Paola , Tirosh Itay , Suvà Mario L.
Published: February 2025

Supplementary Table S1 shows the timeline of derivation, establishment, and sequencing of GCOs.
Supplementary Table 7 from Tumor-Intrinsic Kinome Landscape of Pancreatic Cancer Reveals New Therapeutic Approaches
Authors: Xu Yi , Peng Xianlu L. , East Michael P. , McCabe Ian C. , Stroman Grace C. , Jenner Madison R. , Chan Priscilla S. , Morrison Ashley B. , Shen Emily C. , Hererra Silvia G. , Joisa Chinmaya U. , Rashid Naim U. , Iuga Alina C. , Gomez Shawn M. , Miller-Phillips Lisa , Boeck Stefan , Heinemann Volker , Haas Michael , Ormanns Steffen , Johnson Gary L. , Yeh Jen Jen
Published: February 2025

Supplementary Table 7.response
Supplementary Tables S1-S7 from DNAJB1-PRKACA Fusion Drives Fibrolamellar Liver Cancer through Impaired SIK Signaling and CRTC2/p300-Mediated Transcriptional Reprogramming
Authors: Gritti Ilaria , Wan Jinkai , Weeresekara Vajira , Vaz Joel M. , Tarantino Giuseppe , Bryde Tenna Holgersen , Vijay Vindhya , Kammula Ashwin V. , Kattel Prabhat , Zhu Songli , Vu Phuong , Chan Marina , Wu Meng-Ju , Gordan John D. , Patra Krushna C. , Silveira Vanessa S. , Manguso Robert T. , Wein Marc N. , Ott Christopher J. , Qi Jun , Liu David , Sakamoto Kei , Gujral Taranjit S. , Bardeesy Nabeel
Published: February 2025

Supplementary Table S1. List of SsTOP genes Supplementary Table S2. List of SsTOP (-E2F) genes Supplementary Table S3A. TF activity DMSO vs PKAi Supplementary Table S3B. TF activity PKAi+SIKi (COMBO) vs PKAi Supplementary Table S3A. CRTC2 targets gene set Supplementary Table S4. Curated FLC gene sets Supplementary Table S5. Expression of amino acid metabolism/urea cycle genes in FLC Supplementary Table S6. Regulation of curated FLC pathways by PKAi and SIKi in FLX1 Supplementary Table S7. MSigDB (Human) Hallark_E2F targets gene set
Supplementary Figure S1 from Copper Drives Remodeling of Metabolic State and Progression of Clear Cell Renal Cell Carcinoma
Authors: Bischoff Megan E. , Shamsaei Behrouz , Yang Juechen , Secic Dina , Vemuri Bhargav , Reisz Julie A. , D’Alessandro Angelo , Bartolacci Caterina , Adamczak Rafal , Schmidt Lucas , Wang Jiang , Martines Amelia , Venkat Jahnavi , Tcheuyap Vanina Toffessi , Biesiada Jacek , Behrmann Catherine A. , Vest Katherine E. , Brugarolas James , Scaglioni Pier Paolo , Plas David R. , Patra Krushna C. , Gulati Shuchi , Landero Figueroa Julio A. , Meller Jarek , Cunningham John T. , Czyzyk-Krzeska Maria F.
Published: February 2025

Accumulation of Cu and its allocation to CuCOX correlates with the progression of ccRCC and drives tumor growth.
Data from DNAJB1-PRKACA Fusion Drives Fibrolamellar Liver Cancer through Impaired SIK Signaling and CRTC2/p300-Mediated Transcriptional Reprogramming
Authors: Gritti Ilaria , Wan Jinkai , Weeresekara Vajira , Vaz Joel M. , Tarantino Giuseppe , Bryde Tenna Holgersen , Vijay Vindhya , Kammula Ashwin V. , Kattel Prabhat , Zhu Songli , Vu Phuong , Chan Marina , Wu Meng-Ju , Gordan John D. , Patra Krushna C. , Silveira Vanessa S. , Manguso Robert T. , Wein Marc N. , Ott Christopher J. , Qi Jun , Liu David , Sakamoto Kei , Gujral Taranjit S. , Bardeesy Nabeel
Published: February 2025

Abstract
Fibrolamellar carcinoma (FLC) is a liver cancer of adolescents and young adults characterized by fusions of the genes encoding the protein kinase A catalytic subunit, PRKACA, and heat shock protein, DNAJB1. The chimeric DNAJB1-PRKACA protein has increased kinase activity and is essential for FLC xenograft growth. Here, we explore the critical oncogenic pathways controlled by DNAJB1-PRKACA using patient-derived FLC models, engineered systems, and patient samples. We show that a core function of DNAJB1-PRKACA is the phosphorylation and inactivation of salt-inducible kinases (SIKs). This leads to deregulation of the CRTC2 transcriptional coactivator and p300 acetyltransferase, resulting in transcriptional reprogramming and increased global histone acetylation, driving malignant growth. Our studies establish a central oncogenic mechanism of DNAJB1-PRKACA and suggest the potential of targeting CRTC2/p300 in FLC. Notably, these findings link this rare cancer’s signature fusion oncoprotein to more common cancer gene alterations involving STK11 and GNAS, which also function via SIK suppression.
Significance:
This work combines functional studies in model systems and examination of human tumor specimens to define a central oncogenic pathway driven by DNAJB1-PRKACA fusions in FLC. DNAJB1-PRKACA-mediated inactivation of the SIK stimulates CRTC2-p300-mediated transcription to drive tumor growth. The findings illuminate pathogenic mechanisms and inform therapeutic development.
Table S3 from Age at First Full-term Pregnancy and Other Reproductive Factors Are Associated with Mammographic Breast Density in Postmenopausal Women: A Study in Flanders, Belgium
Authors: Vandeloo Magda J. , Kellen Eliane , Fang Carolyn Y. , Ross Eric A. , Vancoillie Liesbeth , Bruckers Liesbeth M. , Neven Kristof Y. , Bijnens Esmée M. , Nawrot Tim S. , Van Ongeval Chantal
Published: February 2025

Table S3: Results from the univariate ordinal logistic regression model for BI-RADS. The model for FFTP was stratified based on the results from the GLAND and VBD models: ‘≤ 25.7 years’ and ‘> 25.7 years’. Data is presented as Odds Ratio (OR) estimates and 95% Wald confidence intervals
Table 1 from Age at First Full-term Pregnancy and Other Reproductive Factors Are Associated with Mammographic Breast Density in Postmenopausal Women: A Study in Flanders, Belgium
Authors: Vandeloo Magda J. , Kellen Eliane , Fang Carolyn Y. , Ross Eric A. , Vancoillie Liesbeth , Bruckers Liesbeth M. , Neven Kristof Y. , Bijnens Esmée M. , Nawrot Tim S. , Van Ongeval Chantal
Published: February 2025

Sociodemographic characteristics. Stratification on age at FFTP was made based on the results of the NLIN procedure in SAS.
Figure 1 from Age at First Full-term Pregnancy and Other Reproductive Factors Are Associated with Mammographic Breast Density in Postmenopausal Women: A Study in Flanders, Belgium
Authors: Vandeloo Magda J. , Kellen Eliane , Fang Carolyn Y. , Ross Eric A. , Vancoillie Liesbeth , Bruckers Liesbeth M. , Neven Kristof Y. , Bijnens Esmée M. , Nawrot Tim S. , Van Ongeval Chantal
Published: February 2025

Selection process indicating the number of women recruited and excluded during the process of collection and data analysis.
Outcomes of Mechanical Thrombectomy in Patients With Ischemic Stroke and Heart Failure. A Systematic Review and Meta‐analysis
Authors: D'Anna Lucio , Bax Francesco , Valente Mariarosaria , Sacco Simona , Foschi Matteo , Ornello Raffaele , Kanagaratnam Prapa , Lim Boon , Simister Robert , Zhang Liqun , Nguyen Thanh N. , Veltkamp Roland , Gigli Marta , Merlino Giovanni , Gigli Gian Luigi
Published: February 2025

BACKGROUND

Patients with heart failure (HF) treated with mechanical thrombectomy (MT) for acute ischemic stroke were underrepresented in clinical trials on MT. Our systematic review and meta‐analysis aim to assess differences in outcomes between patients with HF and their counterparts without HF treated with MT for acute ischemic stroke.

METHODS

A systematic review of the English language literature from inception up to March 7, 2024, was conducted using PubMed, Embase, Cochrane Library, and Web of Science databases. Studies focused on patients with and without HF who were treated with MT for acute ischemic stroke were included. The primary outcome of interest was the rate of modified Rankin Scale scores of 0–2 at 90 days. Secondary outcomes of interest included rates of 90‐day mortality, successful reperfusion, and symptomatic intracranial hemorrhage.

RESULTS

Of 5394 initially retrieved studies, 5 studies were included in the systematic review with a final population of 44 385 patients with ischemic stroke with and without HF treated with MT. Four studies were combined for the primary outcome and showed comparable rates of 0–2 modified Rankin Scale scores between patients with HF and patients without HF (odds ratio, 0.86 [95% CIs, 0.70–1.06];
P
= 0.15). Ninety‐day mortality was significantly higher in the HF group (odds ratio, 1.92 [95% CIs, 1.66–2.23];
P
<0.0001) although the sample size was small (n of study = 3) and only unadjusted estimates were used. Successful reperfusion and symptomatic intracranial hemorrhage rates were similar between the groups.

CONCLUSION

In this systematic review and meta‐analysis, patients with HF experienced worse 90‐day mortality post‐MT. Our data encourage further research on MT outcomes in patients with large vessel‐occlusion ischemic stroke and concomitant HF.
Compliments and approaches to compliment responses
Authors: Lau Thu M.
Published: February 2025

Complimenting is a complex sociolinguistic speech act that has been characterized as an adjacency pair or a two-unit turn. The same compliment can be interpreted very differently in various contexts, and so responding to a compliment would depend very much on what kind of communicative act the compliment is perceived to be. In the present paper, we will review compliment category frameworks widely used in previous studies and discuss previous approaches to the study of compliment responses (CR s). A review of previous data collection methods reveals certain limitations of those instruments. Compliments and CR s are contextually bound, so previous CR studies based on those approaches may be valuable for the investigation of CR strategies as well as their syntactic forms and semantic features. However, those studies seemed not to capture all the functions and meanings of compliments along with particular features of contexts that may influence compliment behaviours. Future research may aim to explore these issues further.
Overseas Chinese Capital in Taiwan: a Case Study of the Bank of Overseas Chinese (booc)
Authors: Yen Yungming
Published: February 2025

On April 9, 2007, news outlets reported that Citigroup would acquire the Bank of Overseas Chinese (booc) in Taiwan at nt$14.1 billion.” Neither a significant transaction nor the first bank merger during the financial reforms of the 2000s, this event, nevertheless, symbolized the withdrawal of a unique category in Taiwan’s economic system. As the oldest private bank in Taiwan, booc’s development illustrates the dynamics of Taiwan’s financial politics. This article intends to explain the rise and fall of booc from the perspective of historical institutionalism and showcase the changing linkage between state bureaucracy, political power, and financial capital at different stages.