bluuebunny/crossref_metadata_2025_split huggingface dataset:
BayesianFitForecast: A User-Friendly R Toolbox for Parameter Estimation and Forecasting with Ordinary Differential Equations
Authors: Karami Hamed , Bleichrodt Amanda , Luo Ruiyan , Chowell Gerardo 
Published: November 2024

Abstract

Background: Mathematical models based on ordinary differential equations (ODEs) are essential tools across various scientific disciplines, including biology, ecology, and healthcare informatics, where they are used to simulate complex dynamic systems and inform decision-making. In this paper, we introduce BayesianFitForecast, an R toolbox specifically developed to streamline Bayesian parameter estimation and forecasting in ODE models, making it particularly relevant to health informatics and public health decision-making (https://github.com/gchowell/BayesianFitForecast/).
Results: This toolbox enables automatic generation of Stan files, allowing users to configure models, define priors, and analyze results with minimal programming expertise. To demonstrate the versatility and robustness of BayesianFitForecast, we apply it to the analysis of the 1918 influenza pandemic in San Francisco, comparing Poisson and negative binomial error structures within the SEIR model. We also test it in case of fitting to multiple time series of state variables using simulated data. BayesianFitForecast provides robust tools for evaluating model performance, including convergence diagnostics, posterior distributions, credible intervals, and performance metrics.
Conclusion: By improving the accessibility of advanced Bayesian methods, this toolbox significantly broadens the application of Bayesian inference methods to dynamical systems critical for healthcare and epidemiological forecasting. Additionally, we include a tutorial video demonstrating the toolbox’s functionality (https://youtu.be/jnxMjz3V3n8).
Unlocking Safer Outcomes: A Meta-Analysis Comparing Dorgan's Lateral Cross-Pinning and Traditional Mediolateral Pinning in Pediatric Supracondylar Fractures
Authors: Khan Muhammad Waqas , Irfan Shayan Ali , Waseem Radeyah , Hussain Muhammad Sheheryar , Sultan Syed Muhammad Moaaz Bin , Aftab Aleena , Naqvi Anum , Fatima Alina , Raza Mahnoor , Solangi Shahzeb , Mohammad Jemal Girma 
Published: November 2024

Abstract

Objective: This study aims to compare the safety and efficacy of two pinning techniques, namely conventional mediolateral pinning and Dorgan's lateral cross-pinning, for treating Gartland type II, III, and IV supracondylar fractures in children.
Methods: A systematic review and meta-analysis were conducted following PRISMA guidelines. PubMed/Medline, Cochrane Trial Register, and Google Scholar were searched for studies comparing the two pinning techniques. Inclusion criteria involved Gartland Type II, III, and IV fractures in children, randomized controlled or observational studies, and outcomes related to functional results and ulnar nerve impingement. Quality assessment was performed using the Newcastle-Ottawa Scale.
Results: Four studies with a total of 282 participants were included. The Dorgan technique demonstrated comparable outcomes to mediolateral pinning in terms of carrying angle and range of motion. However, Dorgan's technique significantly reduced the risk of ulnar nerve impingement compared to conventional pinning (Risk Difference = -0.09, 95% CI = -0.13, -0.04, p = 0.0002).
Conclusion: In the management of Gartland type II, III, and IV supracondylar fractures in children, Dorgan's lateral cross-pinning technique presents a safer alternative to conventional mediolateral pinning by significantly decreasing the risk of ulnar nerve injury. While both techniques offer comparable functional outcomes, clinicians should weigh the benefits of reduced nerve complications against potential radial nerve risks and longer treatment times associated with Dorgan's technique. Individualized decision-making considering patient factors is crucial in selecting the appropriate pinning method for optimal fracture management.
Bias Light Driving Enables Bandwidth Tunable Photodetectors and Its Applications
Authors: Zhao Suling , Zhang Yu , Li Yaoyao , Li Xiaowei , Huo Xiaomin , Liu Heng , Liang Zhiqin , Qiao Bo , Song Dandan , Wageh Swelm , Yuan Guangcai 
Published: November 2024

Abstract

Spectrum selective photodetection is urgently demanded and expected to play a disruptive role in optical communications and surveillance. Facilitated detection spectrum tuning of photodetector can be achieved by architecture engineering or bias voltage modulation, which are attributed to carrier regulation from the internal mechanisms. However, the unsatisfactory inefficient carriers manipulating method for the conventional implementation strategies has become the main factor limiting the performance, causing inevitable parameter trade-offs regarding responsivity and response speed. In this work, we demonstrate a series of perovskite/organic integrated photodetectors with tunable bandwidth by manipulating photogenerated carriers with a bias light. The additional bias light was verified to manipulate the transportation and recombination processes of photogenerated carriers of the probe signal. Consequently, a narrowband detector with a response in the near-infrared range and a spectral rejection ratio reaching 1547 was developed. Moreover, a self-driven broadband detector with ultra-high external quantum efficiency that approaches the theoretical limit, reaching 96.68% at 820nm, with a response range covering 300-1000nm, has been developed by boosting bias light. This work provides one of the first investigations into photoelectric conversion under dual-component light conditions. The innovative bias light driving approach and impressive performance offer a fresh perspective on carrier regulation and optoelectronic device investigation.
Impact of Mild Traumatic Brain Injury on Health Behaviors: A Korean Nationwide Population-Based Study
Authors: Lee Yookyung , Choi Yoonjeong , Jeon Jooeun , Leigh Ja-Ho , Kim Don-Kyu , Oh Byung-Mo 
Published: November 2024

Abstract

Health-related behavioral changes can occur following traumatic brain injury. We focused on understanding the impact of mild traumatic brain injury on health-related behaviors and identifying factors associated with such changes. We utilized health check-up records from the Korean National Health Insurance Service database spanning January 1, 2009, to December 31, 2017. The sample included 49,212 patients diagnosed with mild traumatic brain injury and 1:1 matched controls who participated in national health check-ups in 2009–2010, 2011–2012, and 2016–2017. Multivariable logistic regression analysis was utilized to examine the association between mild TBI and short- and long-term health-related behavioral changes. Mild traumatic brain injury was significantly associated with an increased risk of insufficient physical activity at the short- [odds ratio (OR), 1.04; 95% confidence interval (CI), 1.01 − 1.07] and long-term (OR, 1.06; 95% CI, 1.03 − 1.09) follow-ups. Age ≥ 65 years and female sex were significant effect modifiers for in sufficient physical activity (OR, 1.11; 95% CI, 1.02 − 1.21; p < 0.001) and smoking (OR, 1.31; 95% CI, 1.14 − 1.51; p < 0.001), respectively. Mild traumatic brain injury can lead to detrimental health-related behavioral changes, varying by age and sex. Thus, age- and sex-specific interventions are needed to address these changes.
One-Year Epidemiological Patterns of Respiratory Pathogens Across Age, Gender, and Seasons in Chengdu During the Post-COVID Era
Authors: Li Xiang , Ma Jian , Li Yi , Hu Zhongliang 
Published: November 2024

Abstract

Respiratory tract infections caused by various pathogens remain a significant public health concern due to their high prevalence and potential for severe complications. This study systematically analyzed the epidemiological characteristics of six common respiratory pathogens—Chlamydia pneumoniae (CP), Mycoplasma pneumoniae (MP), Adenovirus (AdV), Influenza A virus (FluA), Influenza B virus (FluB), and Respiratory Syncytial Virus (RSV)—in patients from Sichuan Jinxin Xinan Women and Children’s Hospital between April 2023 and March 2024. Over 100,000 throat swab samples were collected and processed using the AUTOMOLEC 3000 analyzer, with PCR-fluorescent probe method employed for pathogen detection. The results showed that MP had the highest overall positive rate (21.83%), followed by FluA (17.50%) and FluB (14.84%). MP showed the highest mean monthly (average) positive rate (16.84% ± 8.41). Significant differences were found between MP and AdV, CP and RSV in average positive rate (p < 0.05). Co-infection analysis revealed frequent associations between MP and AdV, MP and CP, and FluB with MP. Seasonal analysis indicated distinct peaks: FluA and FluB in winter, RSV in spring, and MP in summer, autumn and winter. Age-stratified analysis showed higher positivity rates of RSV in children aged 0–6 years, MP and CP in the 7–17 years group. No significant sex-based differences were observed for the pathogens. These findings provide crucial insights into the prevalence and seasonal distribution of respiratory pathogens in Chengdu, offering valuable data to inform public health strategies in the post-COVID era.
Implementation cost analysis of collaborative care for perinatal mental health in community health centers
Authors: Grover Tess , Bennett Ian M , Campbell Mark , Vredevoogd Melinda , Saldana Lisa 
Published: November 2024

Abstract

Background
Although costs are of key importance to clinic leadership when considering adoption of new programs, few studies examine real-world resource needs associated with implementing complex interventions for chronic conditions in primary care. This analysis sought to identify the costs necessary to implement the evidence-based collaborative care model (CoCM), an integrated behavioral health program for common mental disorders in primary care.
Methods
Ten federally qualified health centers (FQHCs) adopted CoCM as part of a larger national randomized trial evaluating implementation strategies for CoCM when adapted for perinatal mental health. The Cost of Implementing New Strategies (COINS) tool was used to assess implementation costs associated with activities completed by sites as they progressed through the implementation process. National wage norms were used to calculate cost estimates for staff time.
Results
On average, clinics spent $40,778 (SD=$30,611) on implementation, with clinics ranging widely from $4,502 to $103,156. Three out of 10 participating clinics achieved competency in the intervention during the 2-year implementation period. Costs among competent clinics ranged from $20,944 to $65,415 (mean=$41,788). Clinics that did not achieve competency were more varied, with both the lowest and highest resource use. Significant staff effort was required to complete all implementation stages; clinical staff and program champions showed greatest effort.
Conclusions
Site implementation costs for this complex behavioral health intervention were substantial and varied dramatically, particularly among sites who did not achieve competence. Additional work is needed to identify optimal site resource investment related to implementation success for CoCM.
Trial registration:
ClinicalTrials.gov.NCT02976025. Registered on November 23, 2016.
BRD2 Phase Separation Promotes Ferritinophagy in Depression
Authors: Li Zhen , Wang Xiaoling , Li Qinglian , Liu Yangping , Si Wenwen , Chen Dongfeng , Wang Qizhang , Zhu Meiling 
Published: November 2024

Abstract

Background Depression is a psychiatric disorder which affects many aspects of social life of patients; however, the molecular biological mechanisms underlying its development are not fully understood. Atypical phase separation is a mechanism contributing to the occurrence of neurological disorders. The interaction between autophagy and iron metabolism have been implicated in the pathogenesis of neurological diseases.Methods To explore the pathogenesis of depression, we analyzed super-enhancers (SEs) in the prefrontal cortex of depression model rats using chromatin immunoprecipitation sequencing (ChIP-seq). The role of the upstream protein Bromodomain Containing 2 (BRD2) in super-enhancers (SEs) was investigated by synthesizing liquid-liquid phase separation proteins in vitro which were examined through Fluorescence recovery after photobleaching (FRAP) analysis. Moreover, the markers of ferritinophagy in cortisol-stimulated primary cortical neuron cells and PC12 cell models were explored to the occurrence of ferritinophagy in depression models.Results Rats exposed to chronic mild stress (CMS) exhibited decreased activation of autophagy-related 7 (ATG7) mediated by SEs. In rats subjected to CMS and in cellular models of depression, ferritinophagy was detected. Arid5a stimulated ATG7 activation via SEs and was influenced by the BET family and liquid-liquid phase separation. Ferritinophagy dysfunction in cellular models of depression was dependent on ATG7. BRD2 exhibited aberrant phase separation in CMS rats. The BET inhibitor JQ1 alleviated depressive behavior in rats subjected to CMS.Conclusions The ATG7 genes are activated by SEs in cellular and animal models of depression. The increased transcriptional activity of ATG7 can increase the risk of ferritinophagy. Moreover, the phase separation of BRD2 promotes ATG7 expression via SEs.
Photoenhanced Field-Emission Nano-Air-Channel Devices for Terahertz Generation
Authors: Chen Feiliang , Li Mo , Li Xiaoxu , Sun Lixin , Li Xiangyang , Jiang Hao , Yang Fan , Liu Yang , Peng Gang-Ding , Zhang Jian 
Published: November 2024

Abstract

Nano-air-channel devices (NACDs), characterized by scattering-free ballistic electron transport in a quasi-vacuum channel, provide a new opportunity for vacuum electronics and nanoelectronics. However, enabling the NACDs for high-frequency operation is still a great challenge due to the low field-emission current and high impedance. Herein, for the first time, field-emission NACDs are demonstrated as photomixers capable of generating coherent terahertz (THz) signals from 120 GHz to 260 GHz. This achievement marks the first successful experimental demonstration of NACDs operating beyond 100 GHz. Vertical configuration NACDs with InP/InGaAs heterojunction photocathodes and 50 nm in-plane nano-air channels are designed and fabricated using a wafer-scale manufacturing process. The field-emission currents show an impressive 375-fold increase with a low-power 1550 nm CW laser irradiation. A remarkably high internal quantum efficiency of up to 1600% is achieved by exploiting the carrier multiplication effect within the heterojunction photocathodes. Furthermore, the NACDs exhibit reproducible photo-switching behavior and highly stable field-emission current even at temperatures as high as 250 ℃. These findings position NACDs as new promising candidates for photonic THz generators, opening up an exciting application prospect for NACDs in THz high-speed wireless communications, 6G networks and high-resolution radar.
Exploring Trauma Recovery in Nurses: A Text Mining and Thematic Analysis Based on Swanson’s Theory of Caring
Authors: Park Jinyoung , Kim Go-Un , Kim Sunah 
Published: November 2024

Abstract

Background
Nurses are frequently exposed to workplace trauma, placing them at a heightened risk of post-traumatic stress disorder. However, targeted interventions to promote psychological recovery among nurses are limited. This study explored the trauma recovery experiences of nurses who participated in an Internet-based Trauma Recovery Nursing Intervention (IBTRNI), based on Swanson’s Theory of Caring. The objective was to identify the emotional and psychological changes experienced by participants through a combination of text mining and thematic analysis.
Methods
Secondary analysis was conducted on free-text responses from 102 nurses who completed IBTRNI. Text mining identified high-frequency keywords, while thematic analysis provided deeper emotional and psychological insights. The analysis was structured around Swanson’s three phases: “Knowing,” “Doing For,” and “Enabling.”
Results
In the “Knowing phase,” the participants demonstrated increased self-awareness, recognizing their emotional responses and the effects of negative thoughts on daily life. The “Doing For” phase revealed enhanced emotional regulation, where participants learned to manage and transform negative emotions into positive ones. Finally, the “Enabling” phase highlighted improvements in interpersonal relationships, and the adoption of effective coping mechanisms such as communication and meditation to manage stress.
Conclusions
Swanson’s Theory of Caring provides a robust framework for supporting nurses' trauma recovery. The combination of text mining and thematic analysis offers a comprehensive understanding of the emotional and psychological transformations experienced during the intervention. The findings underscore the potential for theory-based digital interventions to support trauma recovery among healthcare professionals. Future research should expand on these methodologies to enhance their broader applicability.
Trial registration
This study involved secondary data analysis. The primary study was registered at ClinicalTrials.govUS National Library of Medicine (clinical trial registration number NCT04989582) on 20220131 and is available online.
Juvenile Cellulitis in a Labrador retriever Puppy: A Case Report
Authors: Shaji Namitha , R Sindhu K , David Vinu 
Published: November 2024

Abstract

Juvenile cellulitis, commonly known as puppy strangles, is a rare dermatological disorder affecting puppies, characterised by acute swelling, pustular dermatitis and lymphadenopathy. This autoimmune disease is of unknown etiology but is thought to have a genetic predisposition. An eight-week-old Labrador retriever puppy was presented with the history of nodular skin lesions and facial oedema that was not resolving with antibiotic therapy. Clinical examination revealed lymphadenopathy and secondary otitis. From skin scrapings, lymph node cytology, bacterial culture and response to therapy, the condition was diagnosed as puppy strangles. The pup made a full recovery upon high-dose glucocorticoid therapy.
Subdural Hematoma as a Complication of Endoscopic Third Ventriculostomy in a Pediatric Patient: A Case Report &amp; Literature Review
Authors: Fernandes Rafael Tiza , Sobrinho Rui , Azevedo Miguel , Matos Mário , Sagarribay Amets , Forte Dalila 
Published: November 2024

Abstract

Background: Subdural hematoma (SDH) typically occurs due to traumatic brain injury but can arise as a rare complication of procedures like endoscopic third ventriculostomy (ETV).
Case Presentation: We report an unusual case in a 9-year-old male with previous resection of a fourth-ventricle ependymoma at 2 years of age. Seven years post-surgery, he presented with worsening hydrocephalus and underwent ETV. One month later, he developed severe headaches and motor difficulties. Imaging revealed a significant right SDH, necessitating urgent drainage. Postoperative recovery was uneventful, and follow-up imaging showed resolution of the hematoma.
Literature Review & Discussion: ETV is generally preferred for obstructive hydrocephalus due to lower complication rates compared to shunt procedures. However, cases of SDH post-ETV remain reported, albeit rarely. Potential mechanisms include altered cerebrospinal fluid dynamics and intraoperative vessel injury. This case aligns with literature findings and reinforces the importance of postoperative monitoring and prompt intervention in symptomatic cases to prevent complications.
Conclusion: Clinicians should consider SDH in pediatric patients with new symptoms post-ETV. Further research should focus on understanding the risk factors and mechanisms for SDH development.
EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis
Authors: Chen Ruoyu , Zhang Weiyi , Liu Bowen , Chen Xiaolan , Xu Pusheng , Liu Shunming , He Mingguang , Shi Danli 
Published: November 2024

Abstract

The rising prevalence of vision-threatening retinal diseases poses a significant burden on the global healthcare systems. Deep learning (DL) offers a promising solution for automatic disease screening but demands substantial data. Collecting and labeling large volumes of ophthalmic images across various modalities encounters several real-world challenges, especially for rare diseases. Here, we introduce EyeDiff, a text-to-image model designed to generate multimodal ophthalmic images from natural language prompts and evaluate its applicability in diagnosing common and rare diseases. EyeDiff is trained on eight large-scale datasets using the advanced latent diffusion model, covering 14 ophthalmic image modalities and over 80 ocular diseases, and is adapted to ten multi-country external datasets. The generated images accurately capture essential lesional characteristics, achieving high alignment with text prompts as evaluated by objective metrics and human experts. Furthermore, integrating generated images significantly enhances the accuracy of detecting minority classes and rare eye diseases, surpassing traditional oversampling methods in addressing data imbalance. EyeDiff effectively tackles the issue of data imbalance and insufficiency typically encountered in rare diseases and addresses the challenges of collecting large-scale annotated images, offering a transformative solution to enhance the development of expert-level diseases diagnosis models in ophthalmic field.
Occupational Histories in Neuropathologically Confirmed Multiple System Atrophy
Authors: Cheshire William P. , Tipton Philip W. , Koga Shunsuke , Sekiya Hiroaki , Uitti Ryan J. , Ross Owen A. , Heckman Michael G. , Sledge Hanna J. , Dickson Dennis W. 
Published: November 2024

Abstract

Purpose
This study examined occupational histories in neuropathologically confirmed cases of multiple system atrophy to identify environmental associations of potential relevance to disease causation.
Methods
270 neuropathologically confirmed cases of multiple system atrophy obtained from the Mayo Clinic brain bank for neurodegenerative disorders in Jacksonville, Florida, were included in this case-control study. Demographic and disease information was collected from medical records. Information regarding occupational history was collected retrospectively from medical records and published obituaries. Proportions of employment by occupational sector were compared to United States census data.
Results
The most common prior occupations in patients were healthcare (15.2%), education (15.2%), administration (14.8%), clerical (10.7%), petroleum industry (8.9%), business ownership (8.5%), and metal industry (7.8%). When comparing patients to United States census data, significant differences were identified for electrical (5.6% vs. 0.4%, P < 0.001), education (15.2% vs. 2.3%, P < 0.001), real estate (4.4% vs. 0.7%, P < 0.001), metal industry (7.8% vs. 3.0%, P < 0.001), information technology (4.1% vs. 1.8%, P = 0.011), clerical (10.7% vs. 5.5%, P = 0.001), and petroleum industry (8.9% vs. 5.6%, P = 0.024).
Conclusions
Electrical engineers and electricians, educators, real estate agents, workers in the metal industry, information technologists, clerical staff, and workers in the petroleum industry were significantly overrepresented in our series of multiple system atrophy patients as compared to population data. We hypothesize that these occupational associations may signify environmental exposures increasing disease risk in genetically susceptible individuals. We cannot exclude a potential selection bias in patients willing to donate their brains to an academic center in order to contribute to scientific knowledge.