bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing survey design changes of long-term fishery-independent groundfish trawl surveys in the Gulf of Mexico
Authors: Pollack Adam G. , Hoffmayer Eric R. , Switzer Theodore S. , Hanisko David S. , Hendon Jill M. , Mareska John , Martinez-Andrade Fernando , Rester Jeff , Zuckerman Zachary C. , Pellegrin Gilmore
Published: February 2025

Long-term fishery-independent surveys provide a wealth of information on fisheries stocks that inform stock assessments. One of the strengths of these surveys is that the design and methods are consistent through time. However, maintaining an unchanged time series can pose several potential issues as management needs change resulting in the need to alter either the survey design or its spatial extent. In the United States Gulf of Mexico, bottom trawl surveys targeting groundfish and shrimp (hereafter, groundfish surveys) have been conducted since the 1950s, with standardized surveys beginning in 1972. The resulting data can provide a great deal of information on commercially and recreationally important species. However, many of the alterations to the survey design have been buried in gray literature or otherwise poorly noted. The history of these surveys is discussed, along with the rationale behind these changes and the impacts they had on stock assessments in the region. Starting in 1981, the Southeast Area Monitoring and Assessment Program began groundfish surveys, continuing the time series. Over time, the survey’s spatial extent and design have been altered to meet changing management needs. Delta-lognormal models are used to draw inferences concerning the effects of the survey design change on the relative abundance and their associated coefficients of variation for several commercially and recreationally important species. The expansion of the surveys across the Gulf of Mexico is examined in relation to stock assessments. Overall, the design changes and spatial expansion have been beneficial from a stock assessment standpoint, resulting in an increase in the number of indices used for single-species stock assessments and the utility of survey data in support of ecosystem modeling efforts. Finally, a discussion around the lesson learned (i.e., the critical need for overlap of survey designs), emphasizing the potential impacts of these changes on the overall time series concerning stock assessments, is presented.
Variability of plankton communities in relation to the lunar cycle in oceanic waters
Authors: Hernández-León Santiago , Torreblanca M. Loreto , Herrera Inma , Armengol Laia , Franchy Gara , Ariza Alejandro , Garijo Juan Carlos , Couret María
Published: February 2025

The short-term variability of plankton communities in the oceanic realm is still poorly known due to the paucity of high-resolution time-series in the open ocean. Among these few studies, there is compelling evidence of a lunar cycle of epipelagic zooplankton biomass in subtropical waters during the late winter bloom. However, there is few information about lower trophic levels and zooplankton physiological changes related to this lunar cycle. Here, we studied the short-term variability of pico-, nano-, micro-, and mesoplankton in relation to the lunar cycle in subtropical waters. Weekly sampling was carried out at four stations located north of the Canary Islands from November 2010 to June 2011. Zooplankton abundance and biomass, gut fluorescence (GF), electron transfer system (ETS), and aminoacyl-tRNA synthetase (AARS) activities were measured before, during, and after the winter vertical mixing in these waters in a wide range of size classes. Chlorophyll a, primary production, and zooplankton biomass were low, showing a rather weak late winter bloom event due to the high temperature and stratification observed. Chlorophyll, nanoplankton, diatoms, and mesozooplankton proxies for grazing (GF), respiration (ETS), and growth (AARS) varied monthly denoting a lunar pattern. Chlorophyll a, nanoplankton, diatoms, and mesozooplankton proxies for grazing and respiration peaked between 4 and 6 days after the new moon, followed by an enhancement of the mesozooplankton index of growth between 8 to 9 days after the new moon. However, mesozooplankton biomass only increased during the productive period when supposedly growth exceeded mortality. Coupled with previous results in pico-, nano-, and microplankton, we suggest that the lunar cycle governs the development of planktonic communities in the high turnover warm subtropical ocean. This study provides further evidence of the match of plankton communities with the predatory cycle exerted by diel vertical migrants, adding essential information to understand the short-term functioning of the open ocean.
Amyloid-β and heart failure in Alzheimer’s disease: the new vistas
Authors: Al-Kuraishy Hayder M. , Sulaiman Ghassan M. , Mohammed Hamdoon A. , Mohammed Sohaib G. , Al-Gareeb Ali I. , Albuhadily Ali K. , Dawood Retaj A. , Al Ali Amer , Abu-Alghayth Mohammed H.
Published: February 2025

Alzheimer’s disease (AD) is the most common cause of dementia and represents 75% of all dementia types. AD neuropathology is due to the progressive deposition of extracellular amyloid-beta (Aβ) peptide and intracellular hyperphosphorylated tau protein. The accumulated Aβ forms amyloid plaques, while the hyperphosphorylated tau protein forms neurofibrillary tangles (NFTs). Both amyloid plaques and NFTs are hallmarks of AD neuropathology. The fundamental mechanism involved in the pathogenesis of AD is still elusive, although Aβ is the more conceivable theory. Aβ-induced neurodegeneration and associated neuroinflammation, oxidative stress, endoplasmic reticulum stress (ER), and mitochondrial dysfunction contribute to the development of cognitive impairment and dementia. Of note, Aβ is not only originated from the brain but also produced peripherally and, via the blood–brain barrier (BBB), can accumulate in the brain and result in the development of AD. It has been shown that cardiometabolic conditions such as obesity, type 2 diabetes (T2D), and heart failure (HF) are regarded as possible risk factors for the development of AD and other types of dementia, such as vascular dementia. HF-induced chronic cerebral hypoperfusion, oxidative stress, and inflammation can induce the development and progression of AD. Interestingly, AD is regarded as a systemic disease that causes systemic inflammation and oxidative stress, which in turn affects peripheral organs, including the heart. Aβ through deranged BBB can be transported into the systemic circulation from the brain and accumulated in the heart, leading to the development of HF. These findings suggest a close relationship between AD and HF. However, the exact mechanism of AD-induced HF is not fully elucidated. Therefore, this review aims to discuss the link between AD and the risk of HF regarding the potential role of Aβ in the pathogenesis of HF.
Case report: a patient with spontaneous spinal epidural hematoma recovered after conservative treatment
Authors: Cheng Jingge , Li Bo , Liu Shuaiye , Liu Yiming , Zhao Yipeng
Published: February 2025

Spontaneous spinal epidural hematoma is a rare condition, akin to a stroke, which can manifest as hemiplegia. It cannot be diagnosed by head CT scan and is prone to misdiagnosis as a cerebral stroke, potentially leading to the activation of thrombolysis and exacerbation of the condition. This paper reports a case of a patient with this disease, a 68 years-old male who presented with sudden neck pain weakness, and numbness in the left limbs for 2 h. The symptoms were similar to those of a stroke. A head CT scan showed no significant abnormalities, but the clinical presentation of neck pain alerted the physician, who did not hastily administer thrombolysis. Instead, they quickly performed further examinations, including neck vessel ultrasound and neck CT/MRI, to rule out a cerebral stroke. The patient was ultimately diagnosed with spontaneous spinal epidural hematoma in the neck. The patient was transferred to the ICU for conservative treatment, and a follow-up neck MRI the next day revealed a significant reduction in the hematoma, with a corresponding improvement in clinical symptoms. This case report supports the diagnostic value of CT scans for spinal epidural hematoma and shares a conservative treatment plan for patients with high spinal cord lesions.
The role of potential oxidative biomarkers in the prognosis of intracerebral hemorrhage and the exploration antioxidants as possible preventive and treatment options
Authors: Yao Jiayong , Dai Xiaohong , Yv Xueping , Zheng Lei , Zheng Jia , Kuang Binglin , Teng Wei , Yu Weiwei , Li Mingyue , Cao Hongtao , Zou Wei
Published: February 2025

Intracerebral hemorrhage (ICH) is a non traumatic hemorrhage that occurs in a certain part of the brain. It usually leads to brain cell damage. According to a large number of experimental research, oxidative stress is an important pathophysiological processes of cerebral hemorrhage. In this paper, we aim to determine how changes in oxidative stress biomarkers indicate the damage degree of cerebral hemorrhage, and to explore and summarize potential treatments or interventions. We found that patients with cerebral hemorrhage are characterized by increased levels of oxidative stress markers, such as total malondialdehyde (MDA), F2 isoprostaglandin, hydroxynonenal, myeloperoxidase and protein hydroxyl. Therefore, the changes of oxidative stress caused by ICH on these markers can be used to evaluate and diagnose ICH, predict its prognosis, and guide preventive treatment to turn to antioxidant based treatment as a new treatment alternative.
The road ahead: emerging therapies for primary IgA nephropathy
Authors: Filippone Edward J. , Gulati Rakesh , Farber John L.
Published: February 2025

Primary IgA nephropathy (IgAN) is the most common form of primary glomerulopathy. A slowly progressive disease presenting in the young to middle-aged, most patients with reduced eGFR or proteinuria will progress to end-stage kidney disease (ESKD) in their lifetimes. The pathogenesis involves increased production of galactose-deficient IgA1 (Gd-IgA1) that forms immune complexes that deposit in the glomerulus, eliciting mesangial cell proliferation, inflammation, and complement activation. The backbone of therapy is supportive, including lifestyle modifications, strict blood pressure control, and renin-angiotensin system inhibition targeting proteinuria < 300 mg/day. Sodium-glucose transporter 2 inhibitors are indicated for persisting proteinuria or declining eGFR. Sparsentan is indicated for persisting proteinuria. Immunosuppression should be considered for all patients at risk for progression (persisting proteinuria and/or declining eGFR). To reduce Gd-IgA1 production, targeted-release budesonide is approved. Agents targeting B cell survival factors APRIL or BAFF/APRIL have significantly reduced Gd-IgA1 production and proteinuria in phase 2 trials but await phase 3 data for approval. To reduce inflammation, high-dose steroids are ineffective and toxic in Caucasian patients, although lower-dose regimens may be effective in Chinese patients. Complement inhibition is being actively studied. The factor B inhibitor iptacopan has conditional approval. The terminal pathway inhibitors cemdisiran and ravulizumab show promise in phase 2 studies. Our current approach for those requiring immunosuppression involves combining the reduction of Gd-IgA1 (nefecon) with suppressing the effects of inflammation (iptacopan). The optimal duration of such therapy is uncertain. Clearly, there is more to be learned with many trials underway.
Serum uric acid/creatinine ratio and 1-year stroke recurrence in patient with acute ischemic stroke and abnormal renal function: results from the Xi'an stroke registry study of China
Authors: Liu Zhongzhong , Zhang Dandan , Zeng Lingxia , Guo Weiyan , Lu Qingli , Lei Zhen , Hao Yunlong , Liu Pei , Liu Tong , Peng Linna , Chang Qiaoqiao , Zhang Mi , Lin Xuemei , Wang Fang , Wu Songdi
Published: February 2025

Background

The relationship between abnormal renal function and serum uric acid levels in patients with acute ischemic stroke (AIS) remains insufficiently explored. Although uric acid is associated with cardiovascular and cerebrovascular risk, the specific link between normalized serum uric acid (SUA/SCr) and stroke recurrence in patients with impaired renal function has not been well studied. This study aims to fill this gap by investigating the association between SUA/SCr and 1-year stroke recurrence in patients with AIS and abnormal renal function.

Methods

This study utilized the ratio of serum uric acid (SUA) to serum creatinine (SCr) to represent SUA levels normalized for renal function. Abnormal Renal function was defined by the estimated glomerular filtration rate (eGFR) < 90 mL/min/1.73 m2. Multivariable Cox regression, curve fitting, and stratified analyses were employed to assess the relationship between SUA/SCr and 1-year stroke recurrence in patients with AIS and abnormal renal function, considering SUA/SCr as both a continuous variable and in quartiles (Q1–Q4).

Results

Of 1,932 enrolled patients (65.3% male; mean age 66.7 ± 11.3 years), each unit of increase in SUA/SCr was associated with a 17% decrease in 1-year stroke recurrence (HR = 0.83, 95% CI 0.73 to 0.96, P = 0.009). Compared to Q1, the Q2 and Q4 groups showed significantly reduced risk in 1-year stroke recurrence (Q2: HR = 0.46, 95% CI 0.27 to 0.79, P = 0.005; Q4: HR = 0.47, 95% CI 0.27 to 0.81, P = 0.007), with a significant trend across all quartiles (P = 0.01 for trend tests). Curve fitting revealed a negative but non-linear correlation. Subgroup analyses showed that in patients with eGFR < 60 ml/min/1.73 m2, Q4 had significantly lower 1-year stroke recurrence risk than Q1 (HR = 0.19, 95% CI 0.04 to 0.86, P = 0.031).

Conclusion

Low SUA/SCr independently predicts 1-year stroke recurrence in patients with AIS and abnormal renal function, particularly in those with eGFR < 60 mL/min/1.73 m2.
Low-latency hierarchical routing of reconfigurable neuromorphic systems
Authors: Perera Samalika , Xu Ying , van Schaik André , Wang Runchun
Published: February 2025

A reconfigurable hardware accelerator implementation for spiking neural network (SNN) simulation using field-programmable gate arrays (FPGAs) is promising and attractive research because massive parallelism results in better execution speed. For large-scale SNN simulations, a large number of FPGAs are needed. However, inter-FPGA communication bottlenecks cause congestion, data losses, and latency inefficiencies. In this work, we employed a hierarchical tree-based interconnection architecture for multi-FPGAs. This architecture is scalable as new branches can be added to a tree, maintaining a constant local bandwidth. The tree-based approach contrasts with linear Network on Chip (NoC), where congestion can arise from numerous connections. We propose a routing architecture that introduces an arbiter mechanism by employing stochastic arbitration considering data level queues of First In, First Out (FIFO) buffers. This mechanism effectively reduces the bottleneck caused by FIFO congestion, resulting in improved overall latency. Results present measurement data collected for performance analysis of latency. We compared the performance of the design using our proposed stochastic routing scheme to a traditional round-robin architecture. The results demonstrate that the stochastic arbiters achieve lower worst-case latency and improved overall performance compared to the round-robin arbiters.
Alzheimer's disease and gut-brain axis: Drosophila melanogaster as a model
Authors: Alves Samuel de Mattos , Lisboa-Filho Paulo Noronha , Zilli Vieira Carolina Letícia , Piacenti-Silva Marina
Published: February 2025

Research indicates that by 2050, more than 150 million people will be living with Alzheimer's disease (AD), a condition associated with neurodegeneration due to the accumulation of amyloid-beta and tau proteins. In addition to genetic background, endocrine disruption, and cellular senescence, management of the gut microbiota has emerged as a key element in the diagnosis, progression, and treatment of AD, as certain bacterial metabolites can travel through the bloodstream and cross the blood-brain barrier. This mini-review explores the relationship between tau protein accumulation and gut dysbiosis in Drosophila melanogaster. This model facilitates the investigation of how gut-derived metabolites contribute to neurocognitive impairment and dementia. Understanding the role of direct and indirect bacterial by-products, such as lactate and acetate, in glial cell activation and tau protein dynamics may provide insights into the mechanisms of AD progression and contribute to more effective treatments. Here we discuss how the simplicity and extensive genetic tools of Drosophila make it a valuable model for studying these interactions and testing potential therapeutics, including probiotics. Integrating Drosophila studies with other established models may reveal conserved pathways and accelerate the translation of findings into clinical applications.
On growth and form of animal behavior
Authors: Golani Ilan , Kafkafi Neri
Published: February 2025

In this study we propose an architecture (bauplan) for the growth and form of behavior in vertebrates and arthropods. We show in what sense behavior is an extension of anatomy. Then we show that movement-based behavior shares linearity and modularity with the skeletal body plan, and with the Hox genes; that it mirrors the geometry of the physical environment; and that it reveals the animal’s understanding of the animate and physical situation, with implications for perception, attention, emotion, and primordial cognition. First we define the primitives of movement in relational terms, as in comparative anatomy, yielding homological primitives. Then we define modules, generative rules and the architectural plan of behavior in terms of these primitives. In this way we expose the homology of behaviors, and establish a rigorous trans-phyletic comparative discipline of the morphogenesis of movement-based behavior. In morphogenesis, behavior builds up and narrows incessantly according to strict geometric rules. The same rules apply in moment-to-moment behavior, in ontogenesis, and partly also in phylogenesis. We demonstrate these rules in development, in neurological recovery, with drugs (dopamine-stimulated striatal modulation), in stressful situations, in locomotor behavior, and partly also in human pathology. The buildup of movement culminates in free, undistracted, exuberant behavior. It is observed in play, in superior animals during agonistic interactions, and in humans in higher states of functioning. Geometrization promotes the study of genetics, anatomy, and behavior within one and the same discipline. The geometrical bauplan portrays both already evolved dimensions, and prospective dimensional constraints on evolutionary behavioral innovations.
Correlation study on gut microbiota and myosteatosis in patients with liver cirrhosis
Authors: Zhao Ninghui , Bai Jinjia , Li Xinmiao , Xu Guofen , Fu Xiujuan , Li Jing , Niu Lingyun , Yao Jia , Zhou Xiaoshuang
Published: February 2025

Objective

To investigate the features of gut microbiota in cirrhotic patients with myosteatosis and identify specific bacterial species that may be involved in the pathogenesis of myosteatosis.

Methods

80 patients with liver cirrhosis were categorized into the myosteatosis group (n = 44) and the non-myosteatosis group (n = 36). Metagenomic sequencing was used to analyze the differences in gut microbiota composition between the two groups. Subsequently, the value of meaningful gut microbiota in the diagnosis of myosteatosis in patients with liver cirrhosis was analyzed.

Results

At the species level, however, 15 bacterial species exhibited significant differences in relative abundance between these two groups. The relative abundance of Roseburia hominis and Subdoligranulum unclassified was inversely associated with mean muscle attenuation density at the L3 level (p < 0.05). Assessement of the diagnostic potential of Roseburia hominis and Subdoligranulum unclassified for the development of myosteatosis showed that the areas under the ROC curves (AUCs) was 0.869 [95% confidence interval (CI): 0.709–1.029; p < 0.05] for Roseburia hominis and 0.828 (95% CI: 0.6472–1.009; p < 0.05) for Subdoligranulum unclassified.

Conclusion

Our study establishes compositional alterations of gut microbiota in patients with liver cirrhosis combined with myosteatosis and suggests the diagnostic potential for using gut microbiota as noninvasive biomarkers.
Association between a body shape index and colorectal cancer in US population: a cross-sectional study based on NHANES
Authors: Liu Hui , Kang Jialu , Liu Wei , Shen Yongqing
Published: February 2025

Background

Colorectal cancer (CRC) is linked to obesity, particularly visceral fat. A more accurate measure of visceral fat accumulation is offered by a body shape index (ABSI). Currently, the direct application of the ABSI to populations with varying ethnic backgrounds might be restricted. Moreover, there is less evidence about the correlation between ABSI and CRC among individuals from different ethnical backgrounds.

Methods

A total of 40,998 individuals who took part in the National Health and Nutrition Examination Survey (NHANES) spanning from 2003 to 2023 were subjected to analysis. Logistic regression was utilized to examine the associations between the ABSI and the risk of CRC. In addition, restricted cubic spline curves (RCS) were utilized, and subgroup analyses along with interaction tests were also carried out. The receiver operating characteristic curve (ROC) was employed to predict the risk of CRC relying on various anthropometric indicators.

Results

After adjusting for covariates, ABSI demonstrated a positive association with the incidence of CRC (OR = 1.03 [95% CI: 1.01–1.05], p = 0.018). Individuals in the upper quartile of ABSI exhibited a greater prevalence of CRC than those in the lower quartile (OR = 1.88 [95% CI: 1.19–2.96], p = 0.006). RCS analysis indicated a nonlinear correlation between ABSI and CRC (P for nonlinear = 0.030). Subgroup analysis indicated a notable interaction between age and BMI subgroups (interaction p < 0.05), and ROC curves indicated that the ABSI was effective in predicting CRC risk (AUC = 0.658), demonstrating good sensitivity, particularly in individuals under 60 years of age.

Conclusion

A positive correlation exists between ABSI levels and the increased incidence of CRC among U.S. adults. This is especially true for people under 60 years of age (40–60 years), with a BMI below 25 kg/m2, and those with a BMI of 30 kg/m2 or beyond. ABSI can be used as a simple anthropometric predictor of CRC.
DeepGlioSeg: advanced glioma MRI data segmentation with integrated local-global representation architecture
Authors: Li Ruipeng , Liao Yuehui , Huang Yueqi , Ma Xiaofei , Zhao Guohua , Wang Yanbin , Song Chen
Published: February 2025

Introduction

Glioma segmentation is vital for diagnostic decision-making, monitoring disease progression, and surgical planning. However, this task is hindered by substantial heterogeneity within gliomas and imbalanced region distributions, posing challenges to existing segmentation methods.

Methods

To address these challenges, we propose the DeepGlioSeg network, a U-shaped architecture with skip connections for continuous contextual feature integration. The model includes two primary components. First, a CTPC (CNN-Transformer Parallel Combination) module leverages parallel branches of CNN and Transformer networks to fuse local and global features of glioma images, enhancing feature representation. Second, the model computes a region-based probability by comparing the number of pixels in tumor and background regions and assigns greater weight to regions with lower probabilities, thereby focusing on the tumor segment. Test-time augmentation (TTA) and volume-constrained (VC) post-processing are subsequently applied to refine the final segmentation outputs.

Results

Extensive experiments were conducted on three publicly available glioma MRI datasets and one privately owned clinical dataset. The quantitative and qualitative findings consistently show that DeepGlioSeg achieves superior segmentation performance over other state-of-the-art methods.

Discussion

By integrating CNN- and Transformer-based features in parallel and adaptively emphasizing underrepresented tumor regions, DeepGlioSeg effectively addresses the challenges associated with glioma heterogeneity and imbalanced region distributions. The final pipeline, augmented with TTA and VC post-processing, demonstrates robust segmentation capabilities. The source code for this work is publicly available at https://github.com/smallboy-code/Brain-tumor-segmentation.
Unusual symptoms reveal a rare splenic lymphoma: a case report of PS-DLBCL with neck and shoulder pain as the initial presentation
Authors: Hu Shifu , Hao Yuanyuan , Liu Xiangyu , Liu Hanbo
Published: February 2025

The rare occurrence of diffuse large B-cell lymphoma (DLBCL) limited to the spleen presents difficulties in diagnosis. A case report details a patient whose initial symptoms were neck and shoulder pain, subsequently diagnosed as spontaneous spleen rupture, a rare complication of primary splenic lymphoma. Following a splenectomy, the patient was confirmed to have primary splenic DLBCL and made a good postoperative recovery. This report highlights the diagnostic dilemmas in atypical presentations, where neck and shoulder pain may be the only early sign of a neglected spleen rupture, lacking typical symptoms of the underlying disease. In cases of patients who are not stable, the recommended first imaging method is a focused assessment using sonography for trauma (FAST), as CT scans have a high level of sensitivity. Treatment is determined by hemodynamic status, with conservative management for stable patients and surgical intervention for unstable patients. The importance of recognizing spontaneous spleen rupture as a critical yet uncommon possibility in acute abdominal cases, especially in instances of primary splenic DLBCL, is emphasized in the report.
Timing of congenital cytomegalovirus diagnosis and missed opportunities
Authors: Baker Mallory R. , Wang Xing , Melvin Ann J.
Published: February 2025

Objective

Although congenital cytomegalovirus (cCMV) is the most common congenital infection world-wide, many infected infants are not diagnosed at birth. Anticipating that infants with cCMV who are not tested at birth risk a delayed diagnosis, this study was conducted to investigate the timing of diagnosis for infants with cCMV and to determine the reasons for and impact of late diagnoses.

Methods

Clinical, imaging and laboratory data, hearing and developmental outcomes were abstracted from medical records between 2009 and 2021 for infants with virologically confirmed cCMV.

Results

One hundred and twelve children with confirmed cCMV were identified. Diagnosis was within the first three weeks of life for 60 (54%) (early diagnosis group/EDG) and after this time for 52 (46%) (late diagnosis group/LDG). Infants in the LDG were diagnosed via CMV PCR on neonatal dried blood spot specimens with the majority (71%) tested after identification of sensorineural hearing loss (SNHL). The median time to first CMV testing in the LDG was 12 (IQR 3–42) months. Symptoms consistent with cCMV were present at birth in 17 (33%) of the infants with delayed diagnosis. More infants in the EDG received antiviral treatment (n = 41, 68% vs. n = 19, 23%). Developmental outcomes were similar between groups. Applying different screening strategies to the total cohort, 100%, 66% and 92% could have been diagnosed at birth with universal, hearing targeted and expanded testing strategies respectively.

Conclusion

The lack of formal protocols for cCMV testing leads to delayed diagnoses for many infants. This delay results in missed opportunities for monitoring, intervention, and treatment.
Efficacy and safety assessment of propranolol tablets vs. oral solution for infantile hemangioma: a retrospective study in China
Authors: Chen Wenting , Qian Hua , Sun Qi , Zhang Shan , Zhu Lei , Wu Yafen , Qian Yingying , Wang Bingbing , Li Wei
Published: February 2025

Background

Propranolol for infantile hemangiomas (IHs) is effective and relatively safe. However, propranolol has different formulations and there is no consensus on the optimal formulation for IHs. The propranolol oral solution was not used in China until 2022.

Objective

To evaluate the efficacy and safety of propranolol tablets and an oral solution in infants with high-risk IH.

Methods

A retrospective cohort study was conducted involving 234 consecutive patients with a clinical diagnosis of high-risk IH who were treated with propranolol between August 2018 and February 2023 (propranolol tablets, 168 patients; propranolol oral solution, 66 patients). All patients were assessed in the hospital at the initiation of treatment and in the outpatient setting during treatment. The Hemangioma Activity and Severity Index was used to monitor the clinical activity of the hemangioma after propranolol treatment.

Results

Based on the Hemangioma Activity and Severity Index, 66.52% and 69.15% improvement occurred in the propranolol tablet and oral solution groups, respectively. 23.21% of patients in the propranolol tablet group and 42.42% in the oral solution group achieved >75% score improvement (X2 = 8.557; P = 0.003). Adverse reactions occurred in 34 (20.24%) and 11 patients (16.67%) in the propranolol tablet and oral solution groups, respectively. The most common adverse reaction in the propranolol tablet group was liver function abnormalities due to mild elevation of liver enzymes (X2 = 4.09; P = 0.045).

Conclusion

Both propranolol tablets and oral solution had positive efficacy in patients with high-risk IHs, but more patients in the propranolol oral solution group achieve >75% score improvement compared to the propranolol tablet group. No life-threatening adverse reactions occurred in either group but liver function abnormalities were more likely to occur in patients treated with propranolol tablets.
SEMbeddings: how to evaluate model misfit before data collection using large-language models
Authors: Feraco Tommaso , Toffalini Enrico
Published: February 2025

Introduction

Recent developments suggest that Large Language Models (LLMs) provide a promising approach for approximating empirical correlation matrices of item responses by utilizing item embeddings and their cosine similarities. In this paper, we introduce a novel tool, which we label SEMbeddings.

Methods

This tool integrates mpnet-personality (a fine-tuned embedding model) with latent measurement models to assess model fit or misfit prior to data collection. To support our statement, we apply SEMbeddings to the 96 items of the VIA-IS-P, which measures 24 different character strengths, using responses from 31,697 participants.

Results

Our analysis shows a significant, though not perfect, correlation (r = 0.67) between the cosine similarities of embeddings and empirical correlations among items. We then demonstrate how to fit confirmatory factor analyses on the cosine similarity matrices produced by mpnet-personality and interpret the outcomes using modification indices. We found that relying on traditional fit indices when using SEMbeddings can be misleading as they often lead to more conservative conclusions compared to empirical results. Nevertheless, they provide valuable suggestions about possible misfit, and we argue that the modification indices obtained from these models could serve as a useful screening tool to make informed decisions about items prior to data collection.

Discussion

As LLMs become increasingly precise and new fine-tuned models are released, these procedures have the potential to deliver more reliable results, potentially transforming the way new questionnaires are developed.
The effect of self-compassion versus mindfulness interventions on autonomic responses to stress in generalized anxiety disorders
Authors: Qi Xuejun , Shen Yonghui , Che Xianwei , Wang Ying , Luo Xi , Sun Lijun
Published: February 2025

Objective

Although research on psychological interventions in generalized anxiety disorder (GAD) has provided evidence of their effectiveness regarding self-reported outcomes, few studies have examined their psychophysiological effects. Heart rate is emerging as a potential biomarker of efficacy in anxiety disorders. This study aimed to investigate the effects of a self-compassion intervention versus a mindfulness intervention on physiological arousal in response to induced stress.

Methods

Forty-seven patients with GAD had heart rate data collected during a stress task before and after a 2-week pharmacological treatment (known as treatment as usual, TAU), a self-compassion intervention + TAU or a mindfulness intervention + TAU. They also reported state anxiety, positive affect, and negative affect at pre- and post- intervention before the stress task. ANOVAs were conducted to analyze the effects on electrocardiogram data self-reported measurements.

Results

Self-compassion intervention uniquely decreased heart rate response to a stressor whereas mindfulness intervention did not. Both treatments decreased state anxiety and negative affect to a stressor, while increased positive affect in this context. We also demonstrated a significant correlation between decreased heart rate response and less negative emotions.

Conclusion

The Findings provides novel physiological evidence that self-compassion interventions buffer stress reactivity in individuals with GAD. Attention shall be paid to the limitations in small and unequal sample size and a non-randomized study design.
Reading between the lines: exploring the discriminative ability of the Short-Story Task in identifying autistic individuals within autism outpatient services
Authors: Jarvers Irina , Sommer Monika , Ullmann Manuela , Simmel Verena , Blaas Lore , Gorski Stefanie , Krüger-Lassen Saskia , Vogel Matthias , Langguth Berthold
Published: February 2025

Introduction

The correct diagnosis of autistic individuals is an everyday challenge within autism outpatient services. While the short-story task (SST), a task measuring fiction-based mentalizing, has demonstrated promise in differentiating between autistic and non-autistic adults, its discriminative ability has not been investigated in a sample of individuals seeking autism diagnostics at outpatient services.

Methods

This study aimed to evaluate the utility of the SST in individuals seeking autism diagnostics between 2016 and 2022 at the Clinic and Polyclinic for Psychiatry & Psychotherapy of the University of Regensburg at medbo District Hospital Regensburg. The sample consisted of 211 individuals. In 100 of them an autism spectrum disorder has been diagnosed and 111 individuals were diagnosed with other conditions or none at all.

Results

Performance on the SST did not significantly differ between the two groups, and receiver operator curve analysis did not support the SST as a reliable discriminator. However, linear regression analyses revealed that autism diagnosis was the sole significant predictor of SST mentalizing performance. Additionally, specific items of the SST showed significant differences between autistic and non-autistic individuals and constituted a significant predictor of autism diagnosis.

Discussion

While the SST may not be robust enough to accurately identify autistic individuals on its own, it does offer clinicians valuable insights into how individuals interpret others’ actions and whether they grasp the broader context of a story versus focusing solely on details.
Analysis of indoor radon concentration levels and trends in China
Authors: Ding Bowei , Wu Yunyun , Song Yanchao , Hou Changsong , Shang Bing
Published: February 2025

A systematic review of publicly available papers on indoor radon data from 1980 to 2023 was conducted to provide a preliminary understanding of indoor radon concentration levels and trends in China. Keywords were used to collect literature on indoor radon surveys in China during the periods of before 2000, 2000–2010 and after 2010 in the CNKI, WANFANG, VIP and PubMed databases. This paper also collected indoor radon concentration data from WHO, UNSCEAR publications and PubMed databases for other countries. A total of 37,886 indoor radon concentration data points were collected in China, covering 31 provinces. The results showed that the weighted and arithmetic mean radon concentrations in China were 29.4 Bq/m3 and 33.2 Bq/m3 (n = 17,940) before 2000, 44.7 Bq/m3 and 43.3 Bq/m3 (n = 10,692) in 2000–2010, 57.6 Bq/m3 and 60.8 Bq/m3(n = 9,254) after 2010, respectively. It indicated an increasing trend in indoor radon concentrations in China. The differences in mean indoor radon concentrations across time periods were significant (p < 0.001). In the regional analysis, the differences in indoor radon concentrations between different administrative geographic regions for each time period were significant (p < 0.05). Furthermore, the differences in indoor radon concentrations among climatic areas were significant for the periods 2000–2010 and after 2010 (p < 0.05). Additionally, this paper collected indoor radon data from 63 countries worldwide. The mean radon concentrations across the three periods—before 2000, 2000–2010 and after 2010—were 56.5 Bq/m3, 67.9 Bq/m3 and 81 Bq/m3, respectively. Meanwhile, a comparison of indoor radon concentration was made before and after 2000 among 26 countries, of which 16 countries showed an increasing trend. So, it can be seen the increase in indoor radon concentration in China is not an isolated phenomenon, and the issue of indoor radon pollution still requires further attention.
Immunogenetics of longevity and its association with human endogenous retrovirus K
Authors: James Lisa M. , Georgopoulos Apostolos P.
Published: February 2025

Introduction

The human immune system is equipped to neutralize and eliminate viruses and other foreign antigens via binding of human leukocyte antigen (HLA) molecules with foreign antigen epitopes and presenting them to T cells. HLA is highly polymorphic, resulting in subtle differences in the binding groove that influence foreign antigen binding and elimination. Here we tested the hypothesis that certain HLA alleles may promote longevity by enhanced ability to counter virus antigens that may otherwise contribute to morbidity and mortality.

Methods

We utilized high-resolution genotyping to characterize HLA and apolipoprotein E in a large sample (N = 986) of participants (469 men, 517 women) ranging in age from 24 to 90+ years old (mean age: 58.10 years) and identified 244 HLA alleles that occurred in the sample. Since each individual carries 12 classical HLA alleles (6 alleles of each Class I and Class II), we determined in silico the median predicted binding affinity for each individual (across the 12 HLA alleles) and each of 13 common viruses (Human Herpes Virus 1 [HHV1], HHV2, HHV3, HHV4, HHV5, HHV6A, HHV6B, HHV7, HHV8, human papilloma virus [HPV], human polyoma virus [JCV], human endogenous retrovirus K [HERVK], and HERVW). Next, we performed a stepwise multiple linear regression where the age of the participant was the dependent variable and the 13 median predicted HLA-virus binding affinities were the independent variables.

Results

The analyses yielded only one statistically significant effect–namely, a positive association between age and HERVK (P = 0.005). Furthermore, we identified 13 HLA alleles (9 HLA-I and 4 HLA-II) that occurred at greater frequency in very old individuals (age ≥90 years) as compared to younger individuals. Remarkably, for those 13 alleles, the predicted binding affinities were significantly higher for HERVK than for the other viruses (P < 0.001). ApoE genotypes did not differ significantly between older and younger groups.

Discussion

Taken together, the results showed that HLA-HERVK binding affinity is a robust predictor of longevity and that HLA alleles that bind with high affinity to HERVK were enriched in very old individuals. The findings of the present study highlight the influence of interactions between host immunogenetics and virus exposure on longevity and suggest that specific HLA alleles may promote longevity via enhanced immune response to specific common viruses, notably HERVK.
Factors influencing trust in algorithmic decision-making: an indirect scenario-based experiment
Authors: Marmolejo-Ramos Fernando , Marrone Rebecca , Korolkiewicz Malgorzata , Gabriel Florence , Siemens George , Joksimovic Srecko , Yamada Yuki , Mori Yuki , Rahwan Talal , Sahakyan Maria , Sonna Belona , Meirmanov Assylbek , Bolatov Aidos , Som Bidisha , Ndukaihe Izuchukwu , Arinze Nwadiogo C. , Kundrát Josef , Skanderová Lenka , Ngo Van-Giang , Nguyen Giang , Lacia Michelle , Kung Chun-Chia , Irmayanti Meiselina , Muktadir Abdul , Samosir Fransiska Timoria , Liuzza Marco Tullio , Giorgini Roberto , Khatin-Zadeh Omid , Banaruee Hassan , Özdoğru Asil Ali , Ariyabuddhiphongs Kris , Rakchai Wachirawit , Trujillo Natalia , Valencia Stella Maris , Janyan Armina , Kostov Kiril , Montoro Pedro R. , Hinojosa Jose , Medeiros Kelsey , Hunt Thomas E. , Posada Julian , Freitag Raquel Meister Ko , Tejada Julian
Published: February 2025

Algorithms are involved in decisions ranging from trivial to significant, but people often express distrust toward them. Research suggests that educational efforts to explain how algorithms work may help mitigate this distrust. In a study of 1,921 participants from 20 countries, we examined differences in algorithmic trust for low-stakes and high-stakes decisions. Our results suggest that statistical literacy is negatively associated with trust in algorithms for high-stakes situations, while it is positively associated with trust in low-stakes scenarios with high algorithm familiarity. However, explainability did not appear to influence trust in algorithms. We conclude that having statistical literacy enables individuals to critically evaluate the decisions made by algorithms, data and AI, and consider them alongside other factors before making significant life decisions. This ensures that individuals are not solely relying on algorithms that may not fully capture the complexity and nuances of human behavior and decision-making. Therefore, policymakers should consider promoting statistical/AI literacy to address some of the complexities associated with trust in algorithms. This work paves the way for further research, including the triangulation of data with direct observations of user interactions with algorithms or physiological measures to assess trust more accurately.
Strategic technological innovation through ChatMu: transforming information accessibility in Muhammadiyah
Authors: Adhantoro Muhammad Syahriandi , Gunawan Dedi , Prayitno Harun Joko , Riyanti Rahayu Febri , Purnomo Eko , Jufriansah Adi
Published: February 2025

This study examines the effectiveness of the ChatMu application in improving access to information for members of Muhammadiyah, a prominent socio-religious organization. The research employs a mixed-methods approach, combining qualitative and quantitative analyses to evaluate the application’s performance, usability, and user satisfaction. Findings reveal that ChatMu significantly enhances the accessibility and accuracy of Muhammadiyah-related information, highlighting its potential as an innovative tool for addressing community-specific information needs. However, several usability challenges were identified, including navigation inefficiencies and inconsistencies in content delivery. These limitations suggest the need for further refinement to optimize user experience and functionality. Despite these issues, ChatMu demonstrates strong capabilities in providing relevant and reliable information, fostering digital literacy, and supporting information dissemination within the Muhammadiyah community. The study concludes that ChatMu represents a promising application of chatbot technology in empowering communities through improved access to knowledge. Future development efforts should focus on comprehensive usability testing, maintaining information relevance, and incorporating advanced interactive features to enhance engagement. With continuous improvements, ChatMu has the potential to become an effective medium for advancing literacy and knowledge-sharing in the Muhammadiyah community.
A multi-strain human skin microbiome model provides a testbed for disease modeling
Authors: Maloney Angela L. , Crawford Tyler , Hurlbut Jordan , Martinez Monica , Mulhern Thomas J. , Wiellette Elizabeth L. , Vedula Else M. , Vijayakumar Vidhya
Published: February 2025

The skin microbiome plays a critical role at the interface between the human epidermis and the environment, providing colonization resistance against pathogenic strains, training host immunity, and supporting epithelial turnover. Inversely, dysbiotic skin microbiome states are associated with skin disease, particularly inflammatory conditions such as atopic dermatitis and psoriasis. Current evaluation of human host and microbiome interactions relies on post hoc studies after disease onset. This limits the ability to evaluate the causal roles of host and microbe during disease progression. One approach to characterizing microbial and host biology in a controlled and reproducible context is to derive in vitro models of sufficient complexity and stability to support perturbation and response. Current tools for studying these processes are focused on testing antagonistic or synergistic relations between two or more strains for short (hours to days) culture durations, thereby precluding studies of relevant complexity and chronic disease states. Here, we present an in vitro model of the human skin microbiome comprising a six strain consortium colonizing primary human keratinocyte-derived tissue in Air-Liquid Interface for up to 7 days. We evaluated readouts of tissue health including histology, gene expression, and transepithelial electrical resistance (TEER), as well as relative strain abundance to characterize microbiome stability over time. Skin cells formed a complex tissue structure over two weeks and maintained stable or increasing TEER after 7 days of co-culture with the microbial consortium. Up to five of the six strains were viable on the skin tissue surface on day 7 as validated by custom qPCR assays, demonstrating a robust and stable testbed for microbiome studies. A remarkable feature of this model is the persistence of Cutibacterium acnes in an aerobic tissue culture environment, since C. acnes growth is typically demonstrated under anaerobic conditions, suggesting that the skin tissue model is conducive to more natural growth states of native skin strains. The addition of cytokines representative of atopic dermatitis elicited a marked decrease in tissue barrier by day 7 compared to healthy controls, irrespective of the microbiome presence. Furthermore, an alteration in relative strain abundance was observed in diseased model tissues, demonstrating capability to study the impact of disease states on the microbiome and vice versa. We envision this model system as a test bed to evaluate the influence of commensals on host biology, the influence of external environment on microbiome stability, and chronic diseases impacted by dysbiosis.