bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transcriptomic profiling and gene network analysis revealed regulatory mechanisms of bract development in Bougainvillea glabra
Authors: Liu Xiangdong , Peng Yaonan , Zeng Qinghui , Ma Yuwan , Liu Jin , Huang Yaqi , Yu Xiaoying , Luo Jun , Li Yanlin , Li Meng , Cao Fuxiang 
Published: June 2024

Abstract
Background
Bracts are important for ornamental plants, and their developmental regulation process is complex; however, relatively little research has been conducted on bracts. In this study, physiological, biochemical and morphological changes in Bougainvillea glabra leaves, leaf buds and bracts during seven developmental periods were systematically investigated. Moreover, transcriptomic data of B. glabra bracts were obtained using PacBio and Illumina sequencing technologies, and key genes regulating their development were screened.

Results
Scanning electron microscopy revealed that the bracts develop via a process involving regression of hairs and a color change from green to white. Transcriptome sequencing revealed 79,130,973 bp of transcript sequences and 45,788 transcripts. Differential gene expression analysis revealed 50 expression patterns across seven developmental periods, with significant variability in transcription factors such as BgAP1, BgFULL, BgCMB1, BgSPL16, BgSPL8, BgDEFA, BgEIL1, and BgBH305. KEGG and GO analyses of growth and development showed the involvement of chlorophyll metabolism and hormone-related metabolic pathways. The chlorophyll metabolism genes included BgPORA, BgSGR, BgPPH, BgPAO and BgRCCR. The growth hormone and abscisic acid signaling pathways involved 44 and 23 homologous genes, and coexpression network analyses revealed that the screened genes BgAPRR5 and BgEXLA1 are involved in the regulation of bract development.

Conclusions
These findings improve the understanding of the molecular mechanism of plant bract development and provide important guidance for the molecular regulation and genetic improvement of the growth and development of ornamental plants, mainly ornamental bracts.
Primary care physicians’ perceptions of artificial intelligence systems in the care of adolescents’ mental health
Authors: Ghadiri Pooria , Yaffe Mark J. , Adams Alayne Mary , Abbasgholizadeh-Rahimi Samira 
Published: June 2024

Abstract
Background
Given that mental health problems in adolescence may have lifelong impacts, the role of primary care physicians (PCPs) in identifying and managing these issues is important. Artificial Intelligence (AI) may offer solutions to the current challenges involved in mental health care. We therefore explored PCPs’ challenges in addressing adolescents’ mental health, along with their attitudes towards using AI to assist them in their tasks.

Methods
We used purposeful sampling to recruit PCPs for a virtual Focus Group (FG). The virtual FG lasted 75 minutes and was moderated by two facilitators. A life transcription was produced by an online meeting software. Transcribed data was cleaned, followed by a priori and inductive coding and thematic analysis.

Results
We reached out to 35 potential participants via email. Seven agreed to participate, and ultimately four took part in the FG. PCPs perceived that AI systems have the potential to be cost-effective, credible, and useful in collecting large amounts of patients’ data, and relatively credible. They envisioned AI assisting with tasks such as diagnoses and establishing treatment plans. However, they feared that reliance on AI might result in a loss of clinical competency. PCPs wanted AI systems to be user-friendly, and they were willing to assist in achieving this goal if it was within their scope of practice and they were compensated for their contribution. They stressed a need for regulatory bodies to deal with medicolegal and ethical aspects of AI and clear guidelines to reduce or eliminate the potential of patient harm.

Conclusion
This study provides the groundwork for assessing PCPs’ perceptions of AI systems’ features and characteristics, potential applications, possible negative aspects, and requirements for using them. A future study of adolescents’ perspectives on integrating AI into mental healthcare might contribute a fuller understanding of the potential of AI for this population.
Identification of RAD17 as a candidate cancer predisposition gene in families with histories of pancreatic and breast cancers
Authors: Joris Sofie , Giron Philippe , Olsen Catharina , Seneca Sara , Gheldof Alexander , Staessens Shula , Shahi Rajendra Bahadur , De Brakeleer Sylvia , Teugels Erik , De Grève Jacques , Hes Frederik J. 
Published: June 2024

Abstract
Background
Among the 10% of pancreatic cancers that occur in a familial context, around a third carry a pathogenic variant in a cancer predisposition gene. Genetic studies of pancreatic cancer predisposition are limited by high mortality rates amongst index patients and other affected family members. The genetic risk for pancreatic cancer is often shared with breast cancer susceptibility genes, most notably BRCA2, PALB2, ATM and BRCA1. Therefore, we hypothesized that additional shared genetic etiologies might be uncovered by studying families presenting with both breast and pancreatic cancer.

Methods
Focusing on a multigene panel of 276 DNA Damage Repair (DDR) genes, we performed next-generation sequencing in a cohort of 41 families with at least three breast cancer cases and one pancreatic cancer. When the index patient with pancreatic cancer was deceased, close relatives (first or second-degree) affected with breast cancer were tested (39 families).

Results
We identified 27 variants of uncertain significance in DDR genes. A splice site variant (c.1605 + 2T > A) in the RAD17 gene stood out, as a likely loss of function variant. RAD17 is a checkpoint protein that recruits the MRN (MRE11-RAD50-NBS1) complex to initiate DNA signaling, leading to DNA double-strand break repair.

Conclusion
Within families with breast and pancreatic cancer, we identified RAD17 as a novel candidate predisposition gene. Further genetic studies are warranted to better understand the potential pathogenic effect of RAD17 variants and in other DDR genes.
Secular trend of Kawasaki disease and its correlation with viral activity in Taiwan: a nationwide population-based study
Authors: Shih Wei-Liang , Huang Li-Min , Wu Mei-Hwan , Chang Luan-Yin 
Published: June 2024

Abstract
Background
Kawasaki disease (KD) is the most important acquired heart disease in children. This study investigated annual incidence, seasonality, secular trend and the correlation of KD incidence with viral activity in Taiwan.

Methods
Through the national health insurance database, we identified KD during 2001–2020. The viral activity was obtained from nationwide surveillance database. We analyzed KD age-specific annual incidence, secular trends, seasonality and the correlation between KD incidence and common enteric or respiratory viral activity.

Results
The KD incidence of subjects younger than 18 years significantly increased from 2001 to 2020 (11.78 and 22.40 per 100,000 person-years, respectively), and substantially decreased with age. Infants younger than 1 year presented the highest KD annual incidence at 105.82 to 164.34 per 100,000 person-years from 2001 to 2020. For all KD patients, the most frequently occurring season was summer followed by autumn. The KD incidence of infants younger than 1 year had significantly positive correlation with enteric (r = 0.14) and respiratory (r = 0.18) viral activity.

Conclusions
This study demonstrates the increasing trend of KD annual incidence and seasonality (more in summer and autumn) in Taiwan. The activity of common respiratory and enteric viruses was significantly correlated with KD incidence in infants.
Delayed plasma kallikrein inhibition fosters post-stroke recovery by reducing thrombo-inflammation
Authors: Haupeltshofer Steffen , Mencl Stine , Szepanowski Rebecca D. , Hansmann Christina , Casas Ana I. , Abberger Hanna , Hansen Wiebke , Blusch Alina , Deuschl Cornelius , Forsting Michael , Hermann Dirk M. , Langhauser Friederike , Kleinschnitz Christoph 
Published: June 2024

AbstractActivation of the kallikrein-kinin system promotes vascular leakage, inflammation, and neurodegeneration in ischemic stroke. Inhibition of plasma kallikrein (PK) – a key component of the KKS – in the acute phase of ischemic stroke has been reported to reduce thrombosis, inflammation, and damage to the blood-brain barrier. However, the role of PK during the recovery phase after cerebral ischemia is unknown. To this end, we evaluated the effect of subacute PK inhibition starting from day 3 on the recovery process after transient middle artery occlusion (tMCAO). Our study demonstrated a protective effect of PK inhibition by reducing infarct volume and improving functional outcome at day 7 after tMCAO. In addition, we observed reduced thrombus formation in cerebral microvessels, fewer infiltrated immune cells, and an improvement in blood-brain barrier integrity. This protective effect was facilitated by promoting tight junction reintegration, reducing detrimental matrix metalloproteinases, and upregulating regenerative angiogenic markers. Our findings suggest that PK inhibition in the subacute phase might be a promising approach to accelerate the post-stroke recovery process.
Music time signature detection using ResNet18
Authors: Abimbola Jeremiah , Kostrzewa Daniel , Kasprowski Pawel 
Published: June 2024

AbstractTime signature detection is a fundamental task in music information retrieval, aiding in music organization. In recent years, the demand for robust and efficient methods in music analysis has amplified, underscoring the significance of advancements in time signature detection. In this study, we explored the effectiveness of residual networks for time signature detection. Additionally, we compared the performance of the residual network (ResNet18) to already existing models such as audio similarity matrix (ASM) and beat similarity matrix (BSM). We also juxtaposed with traditional algorithms such as support vector machine (SVM), random forest, K-nearest neighbor (KNN), naive Bayes, and that of deep learning models, such as convolutional neural network (CNN) and convolutional recurrent neural network (CRNN). The evaluation is conducted using Mel-frequency cepstral coefficients (MFCCs) as feature representations on the Meter2800 dataset. Our results indicate that ResNet18 outperforms all other models thereby showing the potential of deep learning models for accurate time signature detection.
The identification and treatment of alcohol problems in primary care (iTAPP) study: protocol for a stepped wedge cluster randomized control trial testing the 15-method in a primary care setting
Authors: Schøler Peter Næsborg , Volke Kristina Hasselbalch , Andréasson Sven , Rasmussen Sanne , Søndergaard Jens , Nielsen Anette Søgaard 
Published: June 2024

Abstract
Background
The 15-method is a targeted screening and treatment approach for alcohol problems in primary care. The 15-method used in primary care has proven as effective as specialized treatment for mild to moderate alcohol dependence in Sweden. A feasibility study of the 15-method in Danish primary care found the method acceptable and feasible.

Aims
To evaluate the effectiveness of the 15-method in a Danish primary care setting in (1) lowering the proportion of patients exceeding the Danish low-risk alcohol consumption limit of ten standard units per week and a maximum of four standard units on a single day for men and women, and (2) increasing the likelihood of alcohol use being addressed during a consultation in general practice. Further, the rate of prescribed pharmacological treatment for alcohol problems (Disulfiram, Naltrexone, Acamprosate, and Nalmefene) will be measured along with the use of the biomarkers Alanine Transaminase and Gamma-Glutamyl Transferase.

Methods
Stepped wedge cluster randomized controlled trial in sixteen general practices in the Region of Southern Denmark. Following a three-month baseline, the practices are randomly assigned to launch dates in one of four clusters. General practitioners and nurses receive three hours of training in the 15-method before launch. Patient questionnaires will collect data on alcohol consumption levels among patients affiliated with the practices. The healthcare professionals will register consultations in which alcohol is addressed in their patient filing system. Pharmacological treatment rates and the use of biomarkers will be collected through Danish national registries. The study follows the Medical Research Council’s guidelines for developing and evaluating complex interventions.

Discussion
From the patient’s perspective, the 15-method may help identify alcohol-related problems at an earlier stage with flexible treatment offers in a familiar setting. For healthcare professionals, it addresses a traditionally challenging topic by equipping them with concrete tools, communication training, and clear treatment directives. From a societal perspective, primary care holds a unique position to identify hazardous and harmful alcohol use across different age groups, with potential public health and economic benefits through early identification and intervention.

Trial registration
Clinicaltrials.gov NCT05916027. Retrospectively registered 22 June 2023.
Progressive Collapse of Typical and Atypical Reinforced Concrete Framed Buildings
Authors: Derseh Solomon Abebe , Mohammed Tesfaye Alemu , Urgessa Girum 
Published: June 2024

AbstractThis paper investigates the progressive collapse potential of eight-story reinforced concrete framed buildings with several atypical structural configurations and compares results with a typical structural configuration. The alternative load path mechanism, the linear-static analysis procedure amplified by dynamic increase factors, and the demand capacity ratio criterion limits from the U.S. General Services Administration guideline were used to evaluate the vulnerability of the different atypical and typical framed structures. Variations in bay size, plan irregularity, and closely spaced columns were used to represent the atypical structural configurations. The extracted demand-capacity ratio (DCR) of the global structural response showed that the demand-capacity ratio for the longitudinal frame with short-span beams had a larger DCR than the transverse frame with longer beam spans with significant potential for progressive collapse. Furthermore, atypical building configurations with closely spaced columns failed by shear and showed the highest DCR limits. In addition to the global structural response, the local member end actions were also evaluated. The evaluation showed that the critical atypical frame configuration with closely spaced columns had a 91% and 127% maximum shear force and support bending moment value difference, respectively, when compared to a baseline typical frame configuration.
Demographic shifts reshaping the landscape of hand trauma: a comprehensive single-center analysis of changing trends in hand injuries from 2007 to 2022
Authors: Tamulevicius Martynas , Bucher Florian , Dastagir Nadjib , Maerz Vincent , Vogt Peter M. , Dastagir Khaled 
Published: June 2024

Abstract
Introduction
Hand injuries constitute up to 30% of the total cases treated in emergency departments. Over time, demographic changes, especially an aging population, and shifts in workplace safety regulations and healthcare policies have significantly impacted the landscape of hand trauma. This study aims to identify and analyze these evolving trends over nearly two decades.

Methods
In this retrospective, cross-sectional study, we investigated patients who were admitted to the high-volume regional hand trauma center of a university hospital between January 2007 and December 2022. We analyzed trends in patients’ demographics and annual alterations of injuries. For the comparative analysis, patients were divided into two groups based on the time of presentation: the early cohort (2007–2014) and the current cohort (2015–2022).

Results
A total of 14,414 patients were admitted to our emergency department within the study period. A significant annual increase in patient age was identified (R2 = 0.254, p = 0.047). The number of presentations increased annually by an average of 2% (p < 0.001). The incidence of the following hand injuries significantly increased: sprains/strains (+ 70.51%, p = 0.004), superficial lacerations (+ 53.99%, p < 0.001), joint dislocations (+ 51.28%, p < 0.001), fractures (carpal: + 49.25%, p = 0.003; noncarpal: + 39.18%, p < 0.001), deep lacerations (+ 37.16%, p < 0.001) and burns and corrosions (+ 29.45%, p < 0.001). However, rates of amputations decreased significantly (− 22.09%, p = 0.04).

Conclusions
A consistent and significant annual increase in both the total number of injuries and the average age of patients was identified. An aging population may increase injury rates and comorbidities, stressing healthcare resources. Our study underscores the need to adapt healthcare structures and reimbursement policies, especially for outpatient hand injury care.
Analysis of convection flow of a self-propelled alcohol droplet in an exoskeleton frame
Authors: Suzuki Tamako , Sawada Hideyuki 
Published: June 2024

AbstractThis study aims to analyze the convection flow of a self-propelled 1-pentanol droplet. The droplets move spontaneously when 1-pentanol droplets are dropped into an aqueous 1-pentanol solution. This self-propulsion is due to the interfacial tension gradient caused by the concentration differences. The shape of the droplet is closely related to its behavior because the shape of the droplet changes the interfacial tension gradient. In this study, an exoskeleton is used to fix the droplet shape. In our preliminary experiments, we observed Marangoni convection in droplets dropped in exoskeleton frames with boomerang and round holes. The results showed that a large difference in surface tension was necessary to control the self-propulsion of the 1-pentanol droplets. Herein, we prepared two exoskeletons with different holes, an elongated symmetrical elliptical shape, and an asymmetrical shape to fix the shape of the droplet. The droplets were then dropped into each exoskeleton, and the droplet behavior, Marangoni convection inside the droplet, and convection in the aqueous phase were analyzed. We found that the direction of the self-propulsion of the droplet was determined by these exoskeletons, particularly in the case of the asymmetrical exoskeleton, and the direction of self-propulsion was fixed in one direction. Marangoni convection was observed in the droplet from the direction of lower surface tension to that of higher surface tension. In the aqueous phase, two convections were generated from the aqueous phase to the droplet because of the diffusion of 1-pentanol. In particular, when an asymmetrical exoskeleton was used, two convections of different sizes and velocities were observed in the aqueous phase. Based on these experimental results, the relationship between droplet behavior and convection is discussed.
Subwavelength imaging using a solid-immersion diffractive optical processor
Authors: Hu Jingtian , Liao Kun , Dinç Niyazi Ulas , Gigli Carlo , Bai Bijie , Gan Tianyi , Li Xurong , Chen Hanlong , Yang Xilin , Li Yuhang , Işıl Çağatay , Rahman Md Sadman Sakib , Li Jingxi , Hu Xiaoyong , Jarrahi Mona , Psaltis Demetri , Ozcan Aydogan 
Published: June 2024

AbstractPhase imaging is widely used in biomedical imaging, sensing, and material characterization, among other fields. However, direct imaging of phase objects with subwavelength resolution remains a challenge. Here, we demonstrate subwavelength imaging of phase and amplitude objects based on all-optical diffractive encoding and decoding. To resolve subwavelength features of an object, the diffractive imager uses a thin, high-index solid-immersion layer to transmit high-frequency information of the object to a spatially-optimized diffractive encoder, which converts/encodes high-frequency information of the input into low-frequency spatial modes for transmission through air. The subsequent diffractive decoder layers (in air) are jointly designed with the encoder using deep-learning-based optimization, and communicate with the encoder layer to create magnified images of input objects at its output, revealing subwavelength features that would otherwise be washed away due to diffraction limit. We demonstrate that this all-optical collaboration between a diffractive solid-immersion encoder and the following decoder layers in air can resolve subwavelength phase and amplitude features of input objects in a highly compact design. To experimentally demonstrate its proof-of-concept, we used terahertz radiation and developed a fabrication method for creating monolithic multi-layer diffractive processors. Through these monolithically fabricated diffractive encoder-decoder pairs, we demonstrated phase-to-intensity $$({\varvec{P}}\to {\varvec{I}})$$

(

P

→

I

)

transformations and all-optically reconstructed subwavelength phase features of input objects (with linewidths of ~ λ/3.4, where λ is the illumination wavelength) by directly transforming them into magnified intensity features at the output. This solid-immersion-based diffractive imager, with its compact and cost-effective design, can find wide-ranging applications in bioimaging, endoscopy, sensing and materials characterization.
Feasibility and tolerance of high-dose methotrexate (HDMTX) in older patients with osteosarcoma.
Authors: Norman Aurora , Siontis Brittany L , Ho Thanh P , Houdek Matthew T. , Okuno Scott H. , Robinson Steven Ian 
Published: June 2024

11521 Background: Osteosarcomas (OS) comprise the majority of new primary bone tumors in the US and affect a bimodal distribution of young adults (2nd-3rd decades) and older adults >65 yrs. Most large collaborative studies demonstrating the efficacy of HDMTX-containing chemotherapy regimens in OS limited enrollment to patients <40 yrs. Our study aims to fill the gap of reported clinical outcomes in adult OS patients ≥ 40 yrs by describing the feasibility and tolerability of HDMTX in these patients at Mayo Clinic. Methods: We conducted a retrospective chart review of patients ≥18 yrs with OS seen at our institution between 1/1/1980-9/30/2019 and who received ≥1 dose of HDMTX (12 g/m2, max 20 g). Extraosseous OS were excluded. Survival analyses were run for both the entire study population and the subset of patients age ≥40. Patient demographics, disease characteristics, and clinical outcomes were collected. The primary outcome evaluated was 5-year overall survival (5-yr OS). Results: We identified 94 patients whose demographic data are summarized (Table). Twenty-three of 94 (24%) were ≥40 yrs. Both the median number of HDMTX doses received and number of patients who received ≥50% recommended doses were significantly less among patients ≥40 yrs. However, HDMTX-related AKI and median number of hospital days did not differ significantly between the age groups. Among all patients, 5-yr OS was significantly improved (p=0.0025) at 45% (95% CI 35%-58%) for those who received ≥50% doses HDMTX compared to 5-yr OS of 25% (95% CI 12%-53%) for those who did not. Among patients ≥40 yrs, 5-yr OS was significantly improved (p=0.017) at 86% (95% CI 63%-100%) for those who received ≥50% doses HDMTX compared to 5-yr OS of 31% (95% CI 14%-68%) for those who did not. Conclusions: In our cohort, 5-yr OS was superior in those patients who received at least 50% of the planned doses of HDMTX. Older adults were significantly less likely to receive the majority of planned doses, which may be due to clinician bias regarding anticipated toxicity. However, we show that common HDMTX-associated toxicities did not vary significantly by age. If feasible, we recommend referring older patients with osteosarcoma to centers equipped to handle the staffing and supportive care needs of HDMTX administration. [Table: see text]