bluuebunny/crossref_metadata_2025 huggingface dataset:
QTc interval prolongation and risk of atrial fibrillation recurrence: a meta-analysis and observational cohort study
Authors: Ding Qiuju , Wang Zhigang , Lu Lichong , Song Zhizhao , Ge Min , Zhou Qing
Published: November 2024

Introduction

Corrected QT interval (QTc) is a ventricular repolarization marker on electrocardiography. Previous studies evaluated its value in predicting atrial fibrillation (AF) occurrence. However, its predictive efficacy for AF recurrence remains controversial.

Methods

We searched PubMed and Google databases for studies before January 2024 evaluating the association between QTc interval and AF incidence. A meta-analysis of the eligible datasets was conducted using Bazett's formula, with subgroup analysis to explore the heterogeneity. Additionally, thirty-eight patients with AF who underwent radiofrequency catheter ablation were enrolled and followed-up for 3–36 months. Univariate and multivariate Cox models were used to calculate the hazard ratios (HRs) and determine the relationship between clinical factors and AF recurrence. Kaplan-Meier survival analysis and ROC curve were conducted to assess the impact and predictive efficacy of individual factors.

Results

Eleven datasets from nine eligible studies were enrolled and meta-analysed. We found that patients with prolonged QTc interval was associated with a significantly higher AF incidence risk, and the risk increased with every 10-ms prolongation. However, this association was not significant in the AF recurrence subgroup. In our prospective cohort, the preoperative body mass index, QTc, left atrial diameter (LAD), and uric acid levels influenced AF recurrence. Multivariate Cox regression analysis identified LAD as an independent factor affecting AF recurrence in patients with a high predictive efficiency. Kaplan-Meier survival analysis showed that increased LAD (>4.5 cm) was associated with postoperative AF recurrence.

Discussion

Therefore, LAD has better predictive power and can be an indicator for predicting postoperative AF recurrence.
Cultural big data: nineteenth to twenty-first century panoramic visualization
Authors: Chau Tsz Kin , Bourke Paul , Hibberd Lily , Jaquet Daniel , Kenderdine Sarah
Published: November 2024

From the nineteenth-century panorama to the emergence of the digital panoramic format in the 1990's, the visualization of large images frequently relies on panoramic viewing strategies. Originally rendered in the form of epic painted canvases, these strategies are now amplified through gigapixel imaging, computer vision and machine learning. Whether for scientific analysis, dissemination, or to visualize cultural big data, panoramic strategies pivot on the illusion of immersion. The latter is achieved through human-centered design situated within a large-scale environment combined with a multi-sensory experience spanning sight, sound, touch, and smell. In this article, we present the original research undertaken to realize a digital twin of the 1894 panorama of the battle of Murten. Following a brief history of the panorama, the methods and technological framework systems developed for Murten panorama's visualization are delineated. Novel visualization methodologies are further discussed, including how to create the illusion of immersion for the world's largest image of a single physical object and its cultural big data. We also present the visualization strategies developed for the augmentation of the layered narratives and histories embedded in the final interactive viewing experience of the Murten panorama. This article offers researchers in heritage big data new schemas for the visualization and augmentation of gigapixel images in digital panoramas.
The influence of emotions on science teaching: a case study with three early childhood education teachers
Authors: Praderio Gaias Florencia Natalia , Furman Melina , Luzuriaga Mariana , Borrego Emilio Costillo , Ayuso Fernández G. Enrique
Published: November 2024

Teaching science in early childhood education (ECE) is crucial for fostering essential scientific thinking skills, which are vital for young learners’ development and formative trajectories. While this educational level presents exciting opportunities for integrating science teaching, it also poses challenges related to teachers ́ cognitive, pedagogical, and emotional constraints. Recognizing the pivotal role of teachers’ emotions in shaping their practices, we aim to specifically examine the influence of teachers’ emotions on science teaching in ECE, an area that remains underresearched. We conducted a multiple case study involving three ECE teachers in La Plata, Argentina, who demonstrated a strong interest in improving their pedagogical practices despite acknowledging their difficulties and insecurities in teaching science. We explored their emotions and how they relate to science lesson planning and implementation through surveys, in-depth interviews, and observations. Data collection was designed in three stages: pre-active, interactive, and post-active teaching. First, we surveyed the range of negative and positive emotions that teachers experienced toward sciences, rooted in their personal and formative prior experiences, and examined how these emotions influenced their planning (pre-active stage). Subsequently, we investigated the emotions associated with science teaching in the interactive stage and recorded classroom observations to document how they implemented their plans. Finally, we conducted in-depth interviews with the teachers while they watched the recorded class videos, allowing them to reflect on their decision-making and implementation characteristics (post-active stage). Our findings reveal a dichotomy: negative emotions derived from past experiences reduce engagement, while positive emotions enhance motivation and enrich the learning environment. Negative emotions arising from the implementation of science activities in real classroom contexts may lead to canceled classes, whereas positive emotions foster persistence and optimism. We discuss the significance of emotional awareness in teaching practices, emphasizing the importance of understanding and managing negative emotions through teacher training and professional development programs. This approach can enhance teacher confidence and satisfaction, ultimately contributing to improved early childhood science education.
Analysis of risk factors for autoimmune thyroid disease based on blood indicators and urinary iodine concentrations
Authors: Liu Jianning , Feng Zhuoying , Gao Ru , Liu Peng , Meng Fangang , Fan Lijun , Liu Lixiang , Du Yang
Published: November 2024

Objective

The aim of this study was to elucidate the relationships between thyroid hormones, lifestyle factors, biochemical markers, and autoimmune thyroid disease (AITD), thereby identifying the factors influencing the development of these diseases.

Methods

The study encompassed 517 patients with AITD and 549 patients with non-autoimmune thyroid disease. Demographic and clinical data were collected, and various laboratory indicators, including urinary iodine and thyroid hormones, were measured and compared between the groups. Lasso regression was employed to select the independent variables, while logistic regression analysis determined the factors associated with the development of AITD.

Results

The prevalence of drinking alcohol history, median urinary iodine, and TSH concentrations proved significantly greater in the AITD group compared to the control group, while FT3 levels demonstrated lower values within the AITD group (p<0.05). Furthermore, there was a significant difference in the distribution of iodine nutrition status between the two groups (p<0.05). Both univariate and multivariate logistic regression analyses revealed significant associations among excessive iodine intake, drinking alcohol history, TSH, FT3, and the development of AITD.

Conclusions

Excessive iodine intake and drinking alcohol history are implicated in an augmented risk of developing AITD. The prevention of AITD may necessitate the regular monitoring of TSH and FT3 concentrations.
The multifaceted nature of diabetic erectile dysfunction: uncovering the intricate mechanisms and treatment strategies
Authors: Ma Jianxiong , Chen Yihao , Si Yuhe , Qian Jiahua , Wang Chenxi , Jin Juan , He Qiang
Published: November 2024

Background

One of the most common complications of diabetes mellitus is diabetic erectile dysfunction (DMED), a condition that has grown more common in recent years and has a significant impact on patients’ daily lives. The complicated pathophysiological changes of DMED, involving vascular, neurological, muscular, and endocrine variables, have not been well addressed by any one treatment technique, and no widely approved treatment strategy has been developed.

Aim

The objective of this study was to thoroughly examine the complex nature of the pathogenic mechanism of DMED and discover new therapeutic approaches that could improve DMED symptoms.

Methods

Studies and review articles from the past 10 years were considered.

Results

The pathogenesis of DMED encompasses vascular dysfunction, endothelial cell damage, cavernous smooth muscle defects, neurological dysfunction, endocrine/metabolic factors, leukomalacia fibrosis, and psychosocial factors, elucidating complex interplay among the mechanisms underlying DMED. It underscores the need of integrating traditional herbal medicine, energy-based medicine treatments, and advanced techniques like stem cell and gene therapy to enhance therapeutic outcomes. Furthermore, it expresses optimism on the therapeutic potential of new nanobiomaterials in DMED.

Conclusion

Through integrating a complete description of DMED etiology and current therapy methods, this work offers a helpful resource for researchers, doctors, and patients dealing with this difficult condition.
Awareness, use, motivations and methods of accessing genetic testing in 2022 in the United States
Authors: Makhnoon Sukh , Lee MinJae , Prasad Tanushree , Badalamenti Alexa , Gurley Tami , Waters Erika A. , Skinner Celette Sugg
Published: November 2024

Introduction

Awareness, access, and use of clinical and direct-to-consumer (DTC) genetic tests has increased in recent years with documented disparities in these services. We provide updated data on test awareness and use, and report novel data on motivations and methods for accessing genetic tests.

Methods

Nationally representative data from the 2022 Health Information National Trends Survey (HINTS 6) were used to assess awareness and use of ancestry, personal trait, specific disease, and carrier testing by sociodemographic characteristics, examine reasons for undergoing tests, and methods of accessing them.

Results

Overall, 81.4% of respondents were aware and 40.0% had undergone testing. Only 10% of tests were ordered by genetic counselors, 80% of carrier and 65% of specific disease tests were ordered by other healthcare providers. Understanding family history was the most common reason for undergoing ancestry (72.2%) or personal trait tests (64.9%) whereas reasons such as doctor’s recommendation (53%–59%), learning more about disease risk (18%–50%), and carrier testing (76%) were common for undergoing disease risk tests and carrier tests. In contrast to ancestry, personal trait, and carrier testing, there were no racial, ethnic, income, or rural/urban difference in use of specific disease risk testing.

Discussion

Diffusion of genetic tests into US society, although incremental, has made sizable increases in awareness, equitable use of specific disease tests but worsening socioeconomic inequality in DTC genetic test use. The study provides update on the state of genetic testing in the US and identifies groups that may need help accessing clinical genomic information and services.
Immune-based subgroups uncover diverse tumor immunogenicity and implications for prognosis and precision therapy in acute myeloid leukemia
Authors: Chen Tingting , Zhang Yue , Zhang Danyang , Zhou Hebing
Published: November 2024

Background

Although a considerable proportion of acute myeloid leukemia (AML) patients achieve remission through chemotherapy, relapse remains a recurring and significant event leading to treatment failure. This study aims to investigate the immune landscape in AML and its potential implications for prognosis and chemo-/immune-therapy.

Methods

Integrated analyses based on multiple sequencing datasets of AML were performed. Various algorithms estimated immune infiltration in AML samples. A subgroup prediction model was developed, and comprehensive bioinformatics and machine learning algorithms were applied to compare immune-based subgroups in relation to clinical features, mutational landscapes, immune characterizations, drug sensitivities, and cellular hierarchies at the single-cell level.

Results

Two immune-based AML subgroups, G1 and G2, were identified. G1 demonstrated higher immune infiltration, a more monocytic phenotype, increased proportions of monocytes/macrophages, and higher FLT3, DNMT3A, and NPM1 mutation frequencies. It was associated with a poorer prognosis, lower proportions of various immune cell types and a lower T cell infiltration score (TIS). AML T-cell-based immunotherapy target antigens, including CLEC12A, Folate receptor β, IL1RAP and TIM3, showed higher expression levels in G1, while CD117, CD244, CD96, WT and TERT exhibited higher expression levels in G2. G1 samples demonstrated higher sensitivity to elesclomol and panobinostat but increased resistance to venetoclax compared to G2 samples. Moreover, we observed a positive correlation between sample immune infiltration and sample resistance to elesclomol and panobinostat, whereas a negative correlation was found with venetoclax resistance.

Conclusion

Our study enriches the current AML risk stratification and provides guidance for precision medicine in AML.
Lag-WALS approach incorporating ENSO-related quantities for altimetric interannual SLA forecasts in the South China Sea
Authors: Yang Pengfei , Fok Hok Sum
Published: November 2024

A novel approach using lag weighted-average least squares (Lag-WALS) is proposed to forecast the interannual sea level anomaly (SLA) in the South China Sea (SCS) using lagged equatorial Pacific El Niño–Southern Oscillation (ENSO)-related quantities. Through empirical orthogonal function (EOF) and wavelet coherence method, we first investigated the relationships between sea surface temperature (SST) and SLA (both steric sea level (SSL) and non-steric sea level (NSSL)) in the equatorial Pacific, and then explored their cross-correlations with the interannual SCS SLA. A robust alignment was found between the first spatiotemporal mode of EOF (i.e. EOF1 and first principal component (PC1)) from SLA/SSL and SST across the equatorial Pacific, both of which exhibited a typical ENSO horseshoe spatial pattern in EOF1. Good consistency between the SCS SLA and the SST/SLA/SSL PC1 was revealed, with the SCS SLA lagging behind the SST, SLA, and SSL by several months at most grid locations. In contrast, the NSSL exhibited large disparities with the SST PC1 or the interannual SCS SLA. The lag-WALS model performed better at the SCS boundaries than in the central region, with an average STD/MAE/Bias (RMSE/MAE/Bias) for internal (external) accuracies of 1.01/0.80/–0.002 cm (1.39/1.13/–0.08 cm), respectively. The altimetric-observed SLA seasonal patterns agreed with the Lag-WALS model-forecasted SLA. A similar situation applies to regionally-averaged SLA time series. These results underscore the ability of the Lag-WALS model to accurately forecast the SCS SLA at the interannual scale, which is crucial for early warning of abnormal sea level changes in the SCS.
Effects of replacing fish meal with pork meal and supplementing with crystalline amino acids and fish oil on growth performance, body composition, enzyme activity, intestinal morphology, and immune response of Penaeus monodon
Authors: Chen Qiuchi , Zhang Chunxiao , Yun Biao , Wang Sheng , Ma Jun , Qian Xueqiao
Published: November 2024

Introduction

The present study aimed to evaluate the effects of substituting fish meal with pork meal in feed on the growth performance, feed utilization, intestinal morphology, and immune function of Penaeus monodon.

Methods

A total of 600 uniformly sized juvenile shrimp with an initial weight of 1.20 ± 0.03 g were randomly assigned to four groups, with each group consisting of six replicates of 25 shrimp each. Fish meal protein was replaced with 0%, 5%, 10%, and 15% pork meal, and crystalline amino acids and fish oil were supplemented accordingly. The groups were designated as P0, P5, P10, and P15, and the study duration was 70 days.

Results

Results indicated no significant difference in specific growth rate (SGR) between the P5 and P10 groups compared to the P0 group. However, the SGR in the P15 group was significantly lower than that in the P5 and P10 groups. Feed conversion rates (FCRs) for the P5 and P10 groups were comparable to the P0 group, whereas the P15 group showed a significantly higher FCR than the other groups. There were no significant differences in whole body composition among all the groups. Apart from alanine, the amino acid composition of muscles did not differ significantly among all the groups. Results of enzyme activity in plasma revealed that the replacement of fish meal with pork meal reduced levels of aspartate aminotransferase (AST) and superoxide dismutase (SOD). Specifically, levels of AST in the P5 and P15 groups were significantly lower compared to the P0 and P10 groups. Histological examination of midgut tissues showed that villus height initially increased and then decreased with higher replacement ratios. The P5 group had the highest villus height, while the P15 group had the lowest villus height. Analysis of gene expression related to liver immune functions indicated that genes in TLR signaling pathway were significantly elevated in the P15 group compared to the other groups.

Discussion

In conclusion, even with the supplementation of crystalline amino acids and fish oil, pork meal should not replace more than 10% of fish meal in the feed of P. monodon to maintain optimal growth and feed efficiency.
Experimental investigation of surface buoyant jet interactions with grid obstructions: implications for aquaculture
Authors: Grifoll Manel , Cuthbertson Alan , Peñas-Torramilans Raquel , Davies Peter
Published: November 2024

Freshwater inputs originating from terrestrial streams and gullies that discharge into quiescent, semi-enclosed coastal regions (such as estuaries, tidal inlets or lagoons), typically provide point sources of nutrients (e.g. nitrates, phosphates) and/or contaminants (e.g. pesticides, pathogens) that may have a deleterious impact on water quality. Many of these sheltered coastal regions also increasingly support aquaculture operations (e.g. finfish, shellfish, or seaweed farms), which can therefore be directly impacted by nutrient and contaminant inputs. Dynamically, these terrestrial freshwater inflows behave as surface buoyant jets or plumes within the coastal saline or brackish receiving waters, due to the salinity-induced density gradients. As such, the presence of infrastructure associated with aquaculture operations in sheltered coastal waters can provide obstruction to the propagation characteristics and residence times for these surface freshwater flows. Consequently, an improved physical understanding of the flow-structure interaction is clearly crucial to assessing the potential contamination risk of aquaculture products. The aim of the current study is therefore to explore, through scaled laboratory experiments within a channel-basin facility, the impact of physical obstruction induced by a vertical grid structure on the flow evolution of a 2D – 3D expanding, surface buoyant jet. Two grid obstructions with different solidity ratios are tested, along with surface gravity currents of different density excesses and freshwater inflows to infer the influence of different parametric conditions on the propagation, blockage and mixing characteristics of the surface current in the vicinity of the grid obstruction. Measurements of the velocity structure and thickness of the expanding surface plume are obtained by ultrasonic velocity profilers, while the density excess in the evolving plume is measured by micro-conductivity probes. Dye visualization results also show that, in the presence of the grid obstruction, the generation of shear-induced billows at the lower interface of the expanding surface current is largely blocked and a local deepening of the fresh-salt water interface in the immediate vicinity of the grid obstruction is observed. In this sense, the obstruction imposed by aquaculture infrastructure in coastal domains can have a considerable influence of the local turbulent mixing and vertical transfer of substances (e.g. nutrients and contaminants), but is likely to have relatively minimal impact in the final dispersion of the surface plume.
The correlation between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) with non-alcoholic fatty liver disease: an analysis of the population-based NHANES (2017–2018)
Authors: Yang Yuhao , Li Shengxi , An Zhenmei , Li Shuangqing
Published: November 2024

Background/objective

Non-alcoholic fatty liver disease (NAFLD) encompasses a spectrum of liver disorders, from benign steatosis to more severe conditions like non-alcoholic steatohepatitis, with risks of progressing to fibrosis, cirrhosis, and hepatocellular carcinoma. The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) indicates lipid metabolic dysregulation and is associated with increased risks of various diseases. This study examines the relationship between NHHR and NAFLD to evaluate NHHR as a potential predictive biomarker for NAFLD.

Methods

Data from the 2017–2018 National Health and Nutrition Examination Survey (NHANES) were used for cross-sectional analysis. After excluding individuals with incomplete data, hepatitis infections, heavy alcohol use, and those under 18, the study included 2,757 adults. The relationship between NHHR and NAFLD was analyzed using multivariable logistic regression, including subgroup analysis and interaction testing.

Results

Among the 2,757 participants (mean age 49.91 years), 44.9% had NAFLD. NHHR showed a significant positive association with NAFLD, with an unadjusted odds ratio (OR) of 1.71 and a fully adjusted OR of 1.45. Quartile analysis revealed a 228% higher prevalence of NAFLD in the highest NHHR quartile, with an OR of 3.28. This positive association was consistent across various subgroups.

Conclusion

Our findings suggest that elevated NHHR is positively correlated with the prevalence of NAFLD and possesses predictive value. We recommend that future research validate the clinical utility of NHHR, particularly for early detection of high-risk individuals and guiding personalized interventions.
Relationships between different trends of the Mediterranean diet and cardiovascular disease-related risk factors in China: results from the CHNS study, 1997–2009
Authors: Bao Zhengyang , Qian Zhengtao , Chen Jiale , Chen Yu , Li Na , Ye Yang , Ren Yongwei , Tang Yiming , Chen Daozhen
Published: November 2024

Objectives

The present study aimed to explore the associations between Mediterranean diet trajectories (MDTs) and cardiovascular disease-related risk factors in Chinese adults.

Methods

A total of 4,332 participants from the China Health and Nutrition Survey (CHNS) were included in this study. A group-based trajectory model (GBTM) was used to explore Mediterranean diet trajectories (MDTs). Linear regression analyses were conducted to assess the association between Mediterranean diet trajectories and cardiovascular disease-related risk factors. Stratified analyses by gender were also performed.

Results

The following four groups were identified in the total population: Group 1 (Persistently low MDT, n = 292, 6.74%), Group 2 (Descent MDT, n = 537, 12.40%), Group 3 (Ascent MDT, n = 454, 10.48%), and Group 4 (Persistently high MDT, n = 3,049, 70.38%). Compared to the persistently low MDT (Group 1), both Group 2 and Group 4 were negatively related to low-density lipoprotein cholesterol (LDL-C) (Group 2: β = −0.23, 95% CI: −0.36 to −0.09, p = 0.001; Group 4: β = −0.25, 95% CI: −0.37 to −0.14, p < 0.001), total cholesterol (TC) (Group 2: β = −0.18, 95% CI: −0.32 to −0.04, p = 0.010; Group 4: β = −0.31, 95% CI: −0.43 to −0.19, p < 0.001), and uric acid (UA) (Group 2: β = −15.16, 95% CI: −28.66 to −2.56, p = 0.019; Group 4: β = −27.51, 95% CI: −38.77 to −16.25, p < 0.001) after adjusting for potential risk factors. Only Group 4 exhibited a negative relationship with triglycerides (TG) (β = −0.18, 95% CI: −0.34 to −0.02, p = 0.028) and blood glucose (β = −0.19, 95% CI: −0.37 to −0.02, p = 0.032).

Conclusion

Four MDTs were identified among the total participants, including men and women. These trajectories were summarized as persistently low MDT, ascent MDT, descent MDT, and persistently high MDT. Adherence to high MDTs could reduce the level of some CVD-related risk factors. The impact of the remote MD on CVD-related risk factors may be greater than that of the proximal MD.
Diving into hot topics of salivary gland carcinoma management—an EORTC young and early career investigator survey
Authors: Lorini Luigi , Ronchi Sara , Nevens Daan , Klinghammer Konrad , Orlandi Ester , Bossi Paolo , Szturz Petr
Published: November 2024

Introduction

Recently, the ASCO and ESMO guidelines on salivary gland carcinomas (SGCs) have been released. However, several crucial points lack strong recommendations due to low or intermediate quality of evidence. To better address these “grey zones” in the guidelines, we conducted a survey among the European Organization for Research and Treatment of Cancer (EORTC) Head and Neck Cancer Group (HNCG) members on behalf of the EORTC young and early career investigators.

Materials and methods

The survey included 29 questions addressing diagnostic and therapeutic issues related to SGC patients and was shared among 539 members of the EORTC HNCG. Responses were collected from December 2022 to March 2023. The primary aim was to evaluate the decision-making criteria guiding physicians in areas with low evidence in SGC guidelines.

Results

With a response rate of 19%, the survey received input from 102 respondents, mainly medical oncologists (45%). Among those with pathological high-risk features, 35% and 30% of respondents opted for chemoradiotherapy (CRT) in the definitive and adjuvant settings, respectively. For patients with R0 resection of highly aggressive SGC at the pT1–2 stage, 37% proposed a close follow-up, while 38% proposed adjuvant lymph-node field RT. In cases of pT3–4 stage, 48% proposed adjuvant lymph-node field RT in all cases, and 44% proposed it based only on risk factors. The most important factors guiding the decision to give adjuvant RT after salvage surgery for locoregional relapse include previous radiotherapy, margin status, and the presence of extranodal extension. When faced with combined positivity to HER2 and AR, responses regarding the choice of first-line palliative treatment were heterogeneous.

Conclusions

International guidelines lack strong recommendations in several fields of SGC diagnosis and treatment due to insufficient high-quality data, resulting in heterogeneity in physicians’ treatment decision (e.g., adjuvant lymph-node field RT and their low concordance with guidelines, such as the use of concomitant CRT). The survey demonstrated the need for prospective clinical trial data to address these gaps in the future.
Research progress on the role of bypass activation mechanisms in resistance to tyrosine kinase inhibitors in non-small cell lung cancer
Authors: Jiang Ziyang , Gu Zhihan , Yu Xiaomin , Cheng Tao , Liu Bofu
Published: November 2024

The clinical application of small molecule tyrosine kinase inhibitors (TKIs) has significantly improved the quality of life and prognosis of patients with non-small cell lung cancer (NSCLC) carrying driver genes. However, resistance to TKI treatment is inevitable. Bypass signal activation is one of the important reasons for TKI resistance. Although TKI drugs inhibit downstream signaling pathways of driver genes, key signaling pathways within tumor cells can still be persistently activated through bypass routes such as MET gene amplification, EGFR gene amplification, and AXL activation. This continuous activation maintains tumor cell growth and proliferation, leading to TKI resistance. The fundamental strategy to treat TKI resistance mediated by bypass activation involves simultaneously inhibiting the activated bypass signals and the original driver gene signaling pathways. Some clinical trials based on this combined treatment approach have yielded promising preliminary results, offering more treatment options for NSCLC patients with TKI resistance. Additionally, early identification of resistance mechanisms through liquid biopsy, personalized targeted therapy against these mechanisms, and preemptive targeting of drug-tolerant persistent cells may provide NSCLC patients with more sustained and effective treatment.
PET/CT radiomics and deep learning in the diagnosis of benign and malignant pulmonary nodules: progress and challenges
Authors: Sun Yan , Ge Xinyu , Niu Rong , Gao Jianxiong , Shi Yunmei , Shao Xiaoliang , Wang Yuetao , Shao Xiaonan
Published: November 2024

Lung cancer is currently the leading cause of cancer-related deaths, and early diagnosis and screening can significantly reduce its mortality rate. Since some early-stage lung cancers lack obvious clinical symptoms and only present as pulmonary nodules (PNs) in imaging examinations, accurately determining the benign or malignant nature of PNs is crucial for improving patient survival rates. 18F-FDG PET/CT is important in diagnosing PNs, but its specificity needs improvement. Radiomics can provide information beyond traditional visual assessment, overcoming its limitations by extracting high-throughput quantitative features from medical images. Radiomics features based on 18F-FDG PET/CT and deep learning methods have shown great potential in the noninvasive diagnosis of PNs. This paper reviews the latest advancements in these methods and discusses their contributions to improving diagnostic accuracy and the challenges they face.
Prognostic characteristics and drug sensitivity analysis of hepatocellular carcinoma based on histone modification-related genes: a multi-omics integrated study revealing potential therapeutic targets and individualized treatment strategies
Authors: Sun Ping , Ding Zheng , Chen Juan , Ou Kezhen , Zhou Dianjie , Li Rui , Gu Tianxiang , Sun He , Cheng Ying
Published: November 2024

Background

Hepatocellular carcinoma (HCC) ranks among the most prevalent and lethal malignancies worldwide. Histone modifications (HMs) play a pivotal role in the initiation and progression of HCC. However, our understanding of HMs in HCC remains limited due to the disease’s heterogeneity and the complexity of HMs.

Methods

We integrated multi-omics data from multiple cohorts, including single-cell RNA sequencing, bulk RNA sequencing, and clinical information. Weighted gene co-expression network analysis (WGCNA) and consensus clustering were employed to identify histone-related genes. We developed a histone modification-related signature (HMRS) using 117 machine learning methods. Comprehensive analyses of molecular characteristics, immune landscape, and drug sensitivity associated with the HMRS were performed.

Results

Through integrative analysis, we defined 110 histone-related genes and identified 45 HCC-HM-related genes (HCC-HMRgenes). The HMRS demonstrated robust prognostic value across multiple cohorts. Patients with high HMRS scores exhibited distinct genomic alterations, including higher tumor heterogeneity and TP53 mutations. The high-risk group showed enrichment in cell cycle, DNA repair, and metabolic pathways. Immune landscape analysis revealed significant differences in immune cell infiltration and pathway activities between high- and low-risk groups. Drug sensitivity prediction suggested potential therapeutic strategies for different risk groups.

Conclusion

Our study provides a comprehensive understanding of HMs in HCC and establishes a robust prognostic signature. The HMRS not only stratifies patients into distinct risk groups but also offers insights into underlying molecular mechanisms, immune characteristics, and potential therapeutic strategies, paving the way for personalized medicine in HCC.
Ground-state β-feeding determination using total-absorption spectrometers
Authors: Guadilla Víctor
Published: November 2024

The determination of the β intensity probability between the ground states of parent and daughter nuclei has traditionally been a difficult task with standard γ-spectroscopy approaches due to the lack of the associated γ emission. In the last years, the total absorption γ-ray spectroscopy technique has successfully proven its ability to deal with this problem by means of different procedures. This article discusses the potential of these methods, and a new approach for segmented total-absorption γ-ray spectrometers is also introduced. An overview of applications is presented based on past, present, and future β-decay experiments.
Evaluating the impact of rock climbing on mental health and emotional well-being in adolescents
Authors: Gürer Hüseyin , Akçınar Faruk , Arslan Semiha Cömertoğlu , Akçınar Serpil , Güllü Mehmet , Eken Özgür , Kurtoğlu Ahmet , Ilkım Mehmet , Alotaibi Madawi H. , Elkholi Safaa M.
Published: November 2024

Background

Rock climbing (RC) has gained attention as a therapeutic tool in psychiatric settings that merges physical exertion with mental engagement. It has potential to enhance mental health, through improved self-efficacy and social interaction, making it a novel intervention for addressing anxiety, depression, and behavioral issues in adolescents. This study aimed to investigate the effects of RC as a physical activity on anxiety, depression, and emotional and behavioral problems in adolescents.

Methods

The current study included 57 athletes aged 14.5 ± 1.7 years and 91 adolescents aged 13.6 ± 1.2 years, matched for age and gender, who were not professionally involved in sport. In addition to the socio-demographic form, a detailed psychiatric assessment was carried out by the child psychiatrist; using the Schedule for Affective Disorders and Schizophrenia for School-Age Children Present and Lifetime Version (K-SADS-PL) to detect psychiatric conditions. The Revised Child Anxiety and Depression Scale-Child Version (RCADS-CV) and the Strengths and Difficulties Questionnaire (SDQ) were also administered to the adolescents in the study.

Results

In the comparative analysis of the RCADS-CV outcomes between the athlete and control groups, the athletes demonstrated notably lower scores for both Separation Anxiety Disorder (SAD) and Generalized Anxiety Disorder (GAD), yielding p-values of < 0.001 and 0.031, respectively. Although the mean scores for social phobia, OCD, panic disorder, and MDD were lower in the athlete group, the differences were not statistically significant (p > 0.05). In the correlation analysis, a moderately significant correlation was found between the duration of doing sport and the scale scores for SAD (p:0.010), OCD (p:0.014), and panic disorder (p:0.016). There was no significant difference between groups in terms of SDQ scores.

Conclusion

These results suggest that RC, through its unique combination of physical exertion and mental focus, may offer protective benefits against certain anxiety disorders among adolescents. Further studies should be conducted to explore the potential use of RC as a preventive program for both healthy adolescents, as well as those with psychiatric disorder.
Beyond accreditation: unraveling the narrative of public health through a critical race praxis lens
Authors: Collins Sarah L. , Allen-Mitchell Acquel , Smith Travis C. , Hack George , Stetten Nichole E. , Moorhouse Michael D.
Published: November 2024

Introduction

Recognizing and addressing health inequities among minority populations are pivotal to public health. Further, public health strives to understand the complexities between race and health without limiting discussions around race as a trivial variable. This commitment toward equity demonstrates considerable similarities to Critical Race Theory (CRT) which led to the creation of the Public Health Critical Race (PHCR) Praxis to instill CRT within public health. However, the literature on how public health education incorporates critical race studies remains limited. The goal of this study was to examine how public health curriculum currently aligns with the PHCR praxis and meets public health's goal of health equity.

Methods

This qualitative study employed document analysis to evaluate academic syllabi from CEPH-accredited MPH programs. Stratified random sampling was applied across two sampling pools, Schools of Public Health (SPH), and Public Health Programs (PHP). Course overviews, course objectives, course curricular information, and course policies were identified and extracted from each syllabus for analysis. A total of 53 syllabi were obtained from a final sample of nine public universities and one private.

Results

Through inductive and directed content analysis, a priori themes of Structural Determinism, Voice, Critical Approaches, Ordinariness of Racism, Social Construction of Knowledge, Intersectionality, Disciplinary Self-Critique, Primacy of Racialization, Race as a Social Construct, Race Consciousness, and their respective categories arose as salient. Two new themes, Antiracism Practices and Culture of Inclusivity, were also present.

Discussion

This study is the first to explore public health education's current curricular practices concerning CRT and antiracist praxes. The results confirm the interwoven nature of public health education with critical race studies, as all principles of PHCR praxis were present. However, the prevalence of these principles varied, suggesting gaps in the alignment of public health curricula and CRT. It is essential that public health educators ensure that the foundational competencies students are expected to display align with public health's goal of health equity. This work can equip MPH programs and public health educators with the ability to revise or bolster their current curricular and instructional efforts to support the pursuit of health, racial equity, and social justice.
A comparative study of antenatal depression among urban and rural pregnant women in Gimbi District, Oromia, Ethiopia
Authors: Chala Solomon , Desalegn Markos , Oljira Rut , Fite Meseret Belete , Mecha Sagni Hambisa , Hunde Gemechis Megnaka
Published: November 2024

Background

Antenatal depression (AND) is a form of clinical depression that can be caused by stress and worries that can bring pregnancy to more severe levels. It has negative impacts on women, the family, and the community at large. The comparative study of antenatal depression among rural and urban pregnant women was less studied in Ethiopia and in this study area in particular.

Objective

The objective of the study was to compare the prevalence of antenatal depression and its associated factors among pregnant women in Gimbi rural and urban residents in Ethiopia in 2023.

Methods

A community-based comparative cross-sectional study design was used from 1 February to 30 March 2023. A systematic random sampling method was used to select study participants. Data were collected using pretested interviewer-administered structured questionnaires. Binary logistic regression analysis was used to identify factors associated with antenatal depression. Variables with a p-value of 0.25 or less in the bi-variable logistic regression model were candidates for a multi-variable logistic regression model.

Results

The prevalence of antenatal depression was 56 (21.5%), 95% CI: [16.9–25.5] among rural participants and 50 (19.2%) [95%] CI: [14.6–23.8] among urban participants. Having complications during pregnancy (AOR: 4.92, 95% CI: 1.35, 17.88), ever had depression (AOR: 3.20, 95% CI: 1.30, 7.85), consuming alcohol (AOR: 3.78, 95% CI: 1.24, 11.49), and educational status (can read and write) (AOR: 2.14, 95% CI:1.05, 4.67) were factors associated with antenatal depression among urban mothers, while no antenatal care follow-up (AOR: 6.6, 95% CI: 2.63, 16.85), unplanned pregnancy (AOR: 4.51, 95% CI:1.10, 1.86), and having complications during pregnancy (AOR: 2.77, 95% CI: 1.30, 5.92) were factors associated with antenatal depression among rural mothers.

Conclusion

The prevalence of antenatal depression among rural mothers was higher than the prevalence of antenatal depression among urban mothers in the Gimbi district. Having complications during pregnancy, ever had depression, consuming alcohol, and educational status were associated factors with antenatal depression among urban mothers; having complications during pregnancy, unplanned pregnancy, and no ANC follow-up were factors associated with antenatal depression among rural mothers. Therefore, quality family planning and ANC services should be provided for the women to reduce unplanned pregnancies and experience complication-free pregnancy periods.
How supermarket retailers value business outcomes of healthy food retail strategies: a discrete choice experiment
Authors: Alsubhi Moosa , Blake Miranda R. , Livingstone Ann , Moodie Marj , Ananthapavan Jaithri
Published: November 2024

Background

Supermarkets are businesses, and any voluntary changes to increase the healthiness of their food offerings must align with retailers’ commercial needs. Business outcomes of healthy food retail strategies are important non-health factors that may influence retailers’ decisions to implement these strategies. Although there is growing evidence on the significance of various business outcomes, such as net profit and customer satisfaction, it remains unclear how retailers value and trade-off these outcomes against each other. This study aimed to determine retailer preferences and measure their marginal willingness to pay for key business outcomes.

Methods

A Discrete Choice Experiment (DCE) survey recruited current or former owners or managers of supermarkets or grocery stores in Australia. It included 12 choice tasks for two hypothetical scenarios (A or B) that the retailer could implement in their store, along with an option to maintain the current situation (opt-out option). The survey included six attributes (net profit, healthy items sold, customer and retailer satisfaction, ease and costs of implementation) with 3–4 levels each. A multinomial logit model was used to estimate preferences and calculate marginal rates of substitution and marginal willingness to pay.

Results

Sixty-one respondents completed the DCE, resulting in a 72% response rate. Retailers identified customer satisfaction as the highest ranked business outcome when deciding to implement healthy food retail strategies. This was followed by the percentage of healthy items sold, supplier satisfaction, net profit, implementation cost, and ease of implementation. The marginal willingness to pay for different attribute levels varied from A$650 per year per store for a strategy that increases net profit by 3% to A$32,136 for a strategy leading to “very satisfied” levels of customer satisfaction compared to the base level.

Conclusion

The results could be used to guide the implementation of healthy food retail strategies that also meet the needs of retailers.
Ethics dumping in artificial intelligence
Authors: Bélisle-Pipon Jean-Christophe , Victor Gavin
Published: November 2024

Artificial Intelligence (AI) systems encode not just statistical models and complex algorithms designed to process and analyze data, but also significant normative baggage. This ethical dimension, derived from the underlying code and training data, shapes the recommendations given, behaviors exhibited, and perceptions had by AI. These factors influence how AI is regulated, used, misused, and impacts end-users. The multifaceted nature of AI’s influence has sparked extensive discussions across disciplines like Science and Technology Studies (STS), Ethical, Legal and Social Implications (ELSI) studies, public policy analysis, and responsible innovation—underscoring the need to examine AI’s ethical ramifications. While the initial wave of AI ethics focused on articulating principles and guidelines, recent scholarship increasingly emphasizes the practical implementation of ethical principles, regulatory oversight, and mitigating unforeseen negative consequences. Drawing from the concept of “ethics dumping” in research ethics, this paper argues that practices surrounding AI development and deployment can, unduly and in a very concerning way, offload ethical responsibilities from developers and regulators to ill-equipped users and host environments. Four key trends illustrating such ethics dumping are identified: (1) AI developers embedding ethics through coded value assumptions, (2) AI ethics guidelines promoting broad or unactionable principles disconnected from local contexts, (3) institutions implementing AI systems without evaluating ethical implications, and (4) decision-makers enacting ethical governance frameworks disconnected from practice. Mitigating AI ethics dumping requires empowering users, fostering stakeholder engagement in norm-setting, harmonizing ethical guidelines while allowing flexibility for local variation, and establishing clear accountability mechanisms across the AI ecosystem.
Androgyny and atypical sensory sensitivity associated with savant ability: a comparison between Klinefelter syndrome and sexual minorities assigned male at birth
Authors: Tawata Shintaro , Sakaguchi Kikue , Saito Atsuko
Published: November 2024

Introduction

The extreme male brain (EMB) theory, a major causal hypothesis of autism (ASD: autism spectrum disorder), attributes excess androgens during early development as one of the causes. While studies have generally followed the EMB theory in females at birth, the co-occurrence of ASD in males at birth has been observed in conditions that are assumed to be associated with reduced androgen action during early development, including Klinefelter syndrome (KS) and sexual minorities. ASD is also associated with atypical sensory sensitivity, synesthesia, and savant syndrome.

Methods

In the present study, we examined adult KS individuals (n = 22), sexual minorities assigned male at birth (n = 66), and control males matched for age and educational background to those with KS [Exploratory analysis (control 1st): n = 36; Reanalysis (control 2nd): n = 583]. Participants completed a self-report questionnaire assessing sensory hypersensitivity/hyposensitivity, savant tendency (developed for the present study), synesthesia, and sexual aspects, including gender identity and sexual orientation.

Results

The results of the exploratory analysis suggested that individuals with KS exhibited a higher tendency toward sensory hypersensitivity/hyposensitivity than the tendency exhibited by the controls. In the Reanalysis, sexual minorities were more likely to be synesthetes, and in both analyses sexual minorities exhibited a higher savant tendency and sensory hypersensitivity/hyposensitivity than the controls. Moreover, the gender dysphoric state was associated with phenotypes observed in individuals with ASD, such as synesthesia, savant tendency, and sensory hypersensitivity/hyposensitivity.

Discussion

These results suggest a common physiological background among gender dysphoria, synesthesia, savant tendency, and atypical sensory sensitivity. Thus, androgynous features (reduced effects of sex steroids during early development) in males at birth may be partially related to the phenotype commonly observed in individuals with ASD. Based on the present results, we propose that the reduction of sex steroids during early development may lead to atypical neurodevelopment and be involved in the atypicality of external and internal sensory perception, and thus in the atypicality of self-concept integration, through the disruption of oxytocin and the gamma-aminobutyric acid system modulating the neural excitation/inhibition balance.