bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neurobehavioral profile of individuals with pathogenic variants in CHD3
Authors: Lippe Sarah , Ionescu Anca , Mazur-Lainé Emmanuelle , Proteau-Lemieux Mélodie , Knoth Inga Sophia , Vachon Keely , Whitlock Kerri , Biag Hazel Barlanhan , Rabouhi Nazim , Heesbeen Hendrikus Van , Jacquemont Sebastien , Hessl David , Abbeduto Leonard , Anagnostou Evdokia , Bolduc Francois , Hagerman Randi , Campeau Philippe 
Published: February 2025

Abstract

Snijders Blok-Campeau syndrome (SNIBCPS), a neurodevelopmental disorder first described in 2018, is caused by heterozygous pathogenic variants in CHD3. Its encoded protein plays a crucial role in the development of the nervous system of embryos. While phenotypic traits have been broadly defined (i.e. global neurodevelopmental delays such as intellectual disabilities and delayed speech acquisition, and physical features such as characteristic facial features and macrocephaly), the phenotypic spectrum has not been further assessed. We present the neurobehavioral profile of 38 individuals with variants in CHD3 and compare it to the ones of autism spectrum disorder (ASD) and Fragile X syndrome (FXS) cohorts. Profound clinical deficits were found in adaptive functioning, communication skills and sensorimotor functioning in most SNIBCPS participants. Similarities between FXS and SNIBCPS cohorts were unveiled, characterized by diminished levels of global adaptive behaviour and adaptive functioning in the social and communication domains. Nevertheless, despite profound challenges in global adaptive behavior in SNIBCPS, we reveal the social domain as showing the highest adaptive levels alongside minimal emotional/behavioural issues within the sample, suggesting relative strengths inherent to SNIBCPS. This study enriches the scarce SNIBCPS literature by delineating the neurobehavioral phenotypic spectrum of SNIBCPS and by innovating comparisons with clinically akin neurodevelopmental disorders.
Ligand-Restricted Strategy for Synthesizing Highly Pairing Dual Atom Catalysts
Authors: Wu Limin , Ma Yanfu , Liu Shuhui , Shi Ke , Li Wenyi , Mao Jianing , Zhao Wantong , Shan Jieqiong , Zhao Yang , Jiang Zheng , Zhang Riguang , Gao Rui , Liu Wei , Lu Gaoqing , Liu Jian 
Published: February 2025

Abstract

Dual atom catalysts (DACs), characterized by high activity and metal utilization, as well as structural diversity with a large variety of catalytic sites, hold immense promise for energy conversion technologies, garnering substantial interest from both academia and industry. However, achieving precise control and manipulation of atomic dispersion, pairing ratios, and interatomic distances in DACs, which significantly affect their multifunctional catalytic properties, remains a significant challenge. Herein, we developed a ligand-restricted strategy for the precise synthesis of highly pairing DACs with tunable atomic distances. This was accomplished by coordinating diamine ligands with dual metal precursors, restricting the pairing and relative positions of two metal atoms on two-dimensional graphitic carbon nitride. The atomic pairing ratio exceeded 82%, with the chain length of diamine molecules effectively regulating the distance between paired atoms. As a demonstration, the pairing Pt1-Au1 DACs exhibited almost three times catalytic activity for nitrate reduction to ammonia compared to their unpaired counterparts. Furthermore, shorter distanced Pt1-Au1 DAC reveals four times activity in photothermal catalyzed hydrogenation reactions than longer ones. This work not only introduces a novel design strategy for the atomic-scale fabrication of complex catalysts but also provides valuable insights into nanoscale reaction mechanisms in heterogeneous catalysis.
Quantitative analysis of tumor perfusion via contrast-enhanced ultrasound to predict the neoadjuvant chemotherapy efficacy for children with hepatoblastoma
Authors: Chen Meixi , Wang Yuanqi , Chen Yingqian , Jiang Hong , Xie Xiaoyan , Wang Xiaoli , Zhou Wenying , Huang Guangliang , Zhou Luyao 
Published: February 2025

Abstract

Background
Predicting the neoadjuvant chemotherapy efficacy may help choose appropriate treatment strategy of hepatoblastoma. Quantitative analysis of contrast-enhanced ultrasound (CEUS) has been used to predict the chemotherapy efficacy in various types of tumors, but its value in hepatoblastoma has not been fully evaluated.
Objective
To explore the value of quantitative analysis of CEUS in predicting the neoadjuvant chemotherapy efficacy for hepatoblastoma.
Materials and methods
Thirty-five hepatoblastoma patients who require neoadjuvant chemotherapy and underwent liver CEUS in our hospital from January 2017 to July 2023 were enrolled. A CEUS examination was performed at baseline, and perfusion parameters were obtained via perfusion quantification software. Patients were classified into responder group and non-responder group after 2 courses. The differences in quantitative parameters between two groups were compared.
Results
The MeanLin ratio (1.7 vs. 0.6 and 1.7 vs. 0.8), PE ratio (1.8 vs. 0.9 and 1.9 vs. 0.9), WiAUC ratio (1.3 vs. 0.6 and 1.3 vs. 0.6), WiPI ratio (1.9 vs. 0.8 and 2.0 vs. 0.9), WoAUC ratio (1.3 vs. 0.5 and 1.3 vs. 0.7), and WiWoAUC ratio (1.3 vs. 0.6 and 1.3 vs. 0.7) in the response group were significantly higher than those in the non-response group (all p < 0.05); when tumor’s region of interest was the active area, the WiR ratio (3.1 vs. 1.4) of the responder group was significantly higher (p = 0.04). The proportion of lesions with liquefaction necrosis before chemotherapy was significantly higher in the response group (p = 0.049).
Conclusion
Quantitative analysis of CEUS may have the potential to predict the neoadjuvant chemotherapy efficacy for hepatoblastoma.
E-Learning as an Alternative to Face-to-Face Teaching in Postgraduate Medical Education in a Resource-Limited Setting: Lessons from the COVID- 19 Pandemic – Experience from a Tertiary Teaching Hospital in Ethiopia
Authors: Petros Adane , Gebremariam Tewodros Haile , Kotiso Kehabtimer Shiferaw , Fikadu Chala , Gemechu Fitsum A. , Seifu Abiy , Kebede Meskerem Aleka , Endris Bilal Shikur , Hagos Seifu , Aklilu Tesfamariam , Yifter Helen , Demissie Hanna , Debebe Tequam , Wondimagegn Dawit 
Published: February 2025

Abstract

Background
The need for applying physical distancing in the era of COVID-19 greatly hampered conventional face-to-face classroom teaching. This necessitated the incorporation of electronic learning (E-learning) in postgraduate medical education to ensure training continuity of residency programs. However, the perception of medical residents towards this new E-learning approach is not well studied. We assessed the perceived satisfaction of residents and the barriers to implementing E-learning in postgraduate medical education.
Methods
We conducted a cross-sectional study from July 1 to December 30, 2020, among 200 residents from the departments of Internal Medicine, Surgery, Orthopedics, Neurology, and Obstetrics andGynecology (OBGYN) at the School of Medicine of Addis Ababa University. Self-administered questionnaires were used tocollect data on perception of E-learning and factors that affected it. Data were entered using Epidata and analyzed using Stata 14.0. Factor analysis determined 21 items from six components explained 65% of data variation. Multivariable logistic regression analysis was fitted to identify factors associated with the six components of satisfaction.
Results
Among the 200 participants, 71.5% were male; 35.5% and 29.5% were from the Surgery and Internal Medicine departments, respectively. The median age of the participants was29 years. Only 24% of the participants had prior E-learning experience before the pandemic, and 15.5% reported spending > 10% of their salary to access the internet for academic purposes. About half (51.5%) of the participants reported satisfaction with E-learning, and 43% supported that E-learning improved teacher-learner collaboration. Satisfaction with E-learning was less among Surgery and OBGYN residents compared to residents from Internal Medicine [AOR:0.3;95% CI 0.11–0.85] and [AOR:0.1;95% CI 0.03–0.4], respectively. In addition, high internet cost, using a mobile device for internet access, poor computer skills, and lack of prior E-learning exposure were all negatively associated with perceived E-learning experience
Conclusion
Experiences of residents and their perceptions on E-learning were mixed. E-learning as a substitute to face-to-face classroom learning was unpopular especially among Surgery and OBGYN residents. Several barriers to E-learning were identified. We recommend university departments to tailor E-learning teaching methods and interventions and improve infrastructure and resident computer skills to enhance current E-learning experiences.
Clinical Trial Number: Not Applicable
Efficacy and Safety of Emergent Balloon Aortic Valvuloplasty as a Rescue Therapy for Cardiogenic Shock Due to Severe Aortic Stenosis in Non-TAVI Centers
Authors: Masuda Mayuka , Fujimoto Wataru , Iwasaki Masamichi , Uzu Kenzo , Sawa Takuma , Kozuki Amane , Nishio Ryo , Hiranuma Noritoshi , Takemoto Makoto , Kuroda Koji , Yamashita Soichiro , Imanishi Junichi , Todoroki Takafumi , Okuda Masanori , Otake Hiromasa 
Published: February 2025

Abstract

Background
The prognosis of aortic stenosis (AS) with cardiogenic shock remains poor, and optimal initial treatment remains unclear. Emergent balloon aortic valvuloplasty (BAV) is a treatment option for salvage and recent studies have reported that early release of valve obstruction by emergent BAV could improve prognosis. This study aimed to assess the efficacy and safety of emergent BAV for severe AS with cardiogenic shock.
Methods
A total of 41 patients with severe AS in cardiogenic shock were enrolled and divided into the emergent (underwent BAV within 12h of admission, n = 10) and non-emergent (underwent BAV more than 12h after admission, n = 15) groups, after excluding 16 patients who did not undergo BAV. The primary endpoints were the 30-day mortality rate and procedural complications. The secondary endpoints were days to withdrawal from the mechanical circulatory support (MCS), days to initial rehabilitation, and clinical frailty scale (CFS) score at discharge.
Results
The 30-day mortality rate was not significantly different between the emergent and non-emergent groups (10% vs. 20%, p = 0.63). One patient experienced stroke after procedure in the non-emergent group. The days to withdrawal from MCS and to start rehabilitation were earlier in emergent group (2.9 ± 1.2 days vs. 7.8 ± 4.6 days; p < 0.01, 4.2 ± 1.9 days vs. 10.8 ± 6.5 days; p < 0.01). The CFS score at discharge in the emergent group was maintained compared to before admission (from 3.8 ± 1.0 to 3.9 ± 1.1; p = 0.35), whereas worsened in the non-emergent group (from 3.8 ± 0.9 to 4.6 ± 1.2; p = 0.03).
Conclusions
Emergent BAV for cardiogenic shock is feasible, and earlier BAV would provide immediate recovery and prevent deterioration of frailty.
Rasch Analysis of the 25-Question Geriatric Locomotive Function Scale in Japanese Older Adults with Musculoskeletal Disorders: Identifying Age-Related Differences in Item Difficulty and Misfitting Items
Authors: Nakano Masaki , Ikemoto Tatsunori , Arai Young-Chang , Takahashi Nobunori , Nakamura Yukio 
Published: February 2025

Abstract

Background Locomotive syndrome (LS), a condition characterized by diminished mobility due to musculoskeletal disorders, is a growing concern among older adults. The 25-item Geriatric Locomotive Function Scale (GLFS-25) is a common tool for LS assessment. However, its reliance on classical test theory and the inclusion of non-motor function items raise questions about its accuracy in reflecting motor dysfunction severity. This study aimed to evaluate the GLFS-25's psychometric properties using Rasch analysis, focusing on item difficulty variations between young-old (60–74 years) and old-old (75–89 years) individuals with musculoskeletal disorders (MSDs).Methods This cross-sectional study recruited 1000 outpatients (500 young-old and 500 old-old) with MSDs. Participants completed the GLFS-25. Rasch analysis was performed using Winsteps software to assess item difficulty, person ability, and item fit. Wright person-item maps were generated to visualize the distribution of item difficulty and person ability. Infit and outfit mean-square values were used to identify misfitting items.Results The mean age of participants was 73.8 ± 6.8 years. Mean GLFS-25 scores were 26.4 ± 22.3 (young-old) and 35.1 ± 23.0 (old-old). Cronbach's alpha exceeded 0.95 in both groups. Significant differences in LS severity proportions were observed between age groups (p < 0.001). Wright maps revealed a scarcity of items discriminating among low-scoring individuals, particularly in the young-old group. Items related to dressing, toilet use, and bathing were most discriminating for high-scoring individuals. Neck/upper limb pain and social engagement were identified as misfitting items across both age groups. Back/lower back/buttock pain and social interaction were misfitting in the young-old and old-old groups, respectively.Conclusions While the GLFS-25 demonstrated excellent internal consistency, Rasch analysis revealed limitations in its ability to discriminate among individuals with low LS scores, particularly in the young-old group. In addition, several misfitting items were identified, suggesting that some items may not contribute effectively to the measurement of LS.
EMAT-Based Crack Detection in Railway Tracks Using Multi-Domain Signal Processing and Scalogram-Driven Deep Learning
Authors: Asif Muhammad Talha , Malik Sohail , Khan Asif , Ali Nazim , Iqbal Arshad , Huang Bin 
Published: February 2025

Abstract

This paper presents a novel crack detection approach in railroads using electromagnetic acoustic transducers (EMATs) that can be integrated with multi-domain signal processing techniques and scalogram-driven deep learning approach. In the study nine different scenarios across three critical sections of the railway track were investigated. Several useful signals processing techniques, including time-domain, frequency-domain, Power Spectrum, Periodogram, Welch Method, short-time Fourier transform (STFT), and wavelet transform, are implemented to evaluate the data acquired through EMAT sensors. Wavelet transformations are applied to the proposed segments to generate scalogram images, which are used as an input in deep learning model training. When results were compared to conventional machine learning classifiers, the deep learning model performs better, exhibiting higher accuracy in identifying different types of cracks from scalogram images. The results demonstrate that EMAT-based fracture identification, advanced signal processing, and deep learning can greatly enhance railway track inspection and safety, even though the system currently processes data in batches rather than in real time. Future work will focus on real-time data acquisition and further optimization of the deep learning architecture.
Application of plasma electrocautery combined with self-made irrigation catheter in the treatment of bladder blood clot tamponade: A retrospective study of 21 patients
Authors: Xu Shigao , Cao Pu , Liu Tieshi 
Published: February 2025

Abstract

Objective: To explore the application effect of plasma electrocautery combined with self-made irrigation catheter in the treatment of bladder clot tamponade.
Methods: We retrospectively analyzed 21 cases of bladder clot tamponade admitted to our hospital from October 2020 to October 2024. The patients were divided into two groups: the experimental group (plasma electrocautery combined with self-made irrigation catheter) and the control group (plasma electrocautery alone). We compared the two different surgical methods in terms of blood clot clearance time, size of blood clots removed, postoperative bladder irrigation time, and postoperative rebleeding.
Results: The sizes of the blood clots removed in the two groups were (178.50±43.85) g and (167.27±50.12) g，respectively. The operation times were (51.00±12.01) minutes and (36.64±8.19) minutes, respectively. The postoperative bladder irrigation times were (2.05±0.76) days and (1.32±0.60) days, respectively. There was no statistically significant difference between the two groups in terms of the size of blood clots removed and the probability of postoperative rebleeding. However, it was statistically significant in terms of operation time and postoperative bladder irrigation time compared to the use of plasma electrocautery alone (P<0.05).
Conclusion: The application of plasma electrocautery combined with a self-made irrigation catheter in the treatment of bladder blood clot tamponade could effectively improve the clearance rate of blood clots within the bladder and accelerate the recovery of patients' conditions.
Improvement method of frequency distribution characteristics of power grid based on integrated inertial control
Authors: Wang Liang , Luo Yongnan , Jing Lantao 
Published: February 2025

Abstract

The integration of large-scale renewable energy sources alters the frequency response characteristics at various nodes and exacerbates the spatial distribution of frequency within the grid. Current virtual inertia control methods for renewable energy sources are insufficient in providing adequate frequency support to the grid and face challenges in improving the spatial distribution of frequency characteristics. This study proposes an integrated inertia control approach that aims to improve the inertia support, frequency regulation capabilities, and frequency distribution characteristics of the power grid. Initially, an integrated inertia control model for renewable energy units is developed, incorporating parameters such as virtual inertia control, sag control, and torque control, to bolster the frequency response capabilities at system nodes. Subsequently, a mathematical model is constructed to quantitatively analyze the frequency spatial distribution characteristics of the nodes of the system, along with the introduction of quantitative indices to assess these characteristics. Finally, an enhanced IEEE 10-39 simulation model is used for analysis, with experimental results demonstrating that the proposed integrated inertia control method for renewable energy units significantly improves the frequency spatial distribution characteristics of the power grid. Furthermore, the mathematical model developed for the characteristics of the spatial distribution of frequencies exhibits a high level of precision.
Exploring the Impact of Trauma-Informed Dramatherapy Training on Mental Health Practitioners in Myanmar: Perspectives on Integration, Effectiveness, and Cultural Adaptation
Authors: Ranasinha Ravindra 
Published: February 2025

Abstract

Myanmar’s prolonged civil conflict and the 2021 military coup have aggravated widespread trauma, anxiety, and depression, compounded by economic collapse and disruptions to mental health services. Traditional talk therapies alone are insufficient in addressing these complex psychological needs, necessitating innovative therapeutic approaches. This study examines the feasibility of trauma-informed dramatherapy as an intervention within Myanmar’s mental health landscape. In 2024, the Academy of Care at the Goethe-Institut Myanmar launched a Train-the-Trainer program to enhance the capacity of fifteen local mental health practitioners. Using a qualitative research design, this study explores the experiences of the fifteen participants who completed intensive two-week dramatherapy training. The findings reveal four key themes: (1) Cultural Adaptation and Mindfulness, highlighting the integration of local cultural practices to enhance accessibility; (2) Empowerment and Self-Discovery, demonstrating the training’s impact on practitioners’ self-awareness and therapeutic confidence; (3) Addressing Mental Health Challenges, illustrating dramatherapy’s effectiveness in supporting trauma survivors beyond traditional talk-based approaches; and (4) Community Healing and Connection, emphasizing its role in fostering social cohesion and collective trauma recovery. Findings suggest that culturally responsive trauma-informed dramatherapy holds significant potential for addressing Myanmar’s mental health crisis. However, sustained professional development, cultural adaptation, and further empirical research are essential to optimize its implementation and long-term impact.
Switchable Narrow Nonlocal Conducting Polymer Plasmonics
Authors: Jonsson Magnus , Lin Dongqing , Duan Yulong , Bandaru Pravallika , Li Pengli , Ansari Mohammad , Polyakov Alexander , Wilhelmsen Janna 
Published: February 2025

Abstract

Dynamically switchable surface plasmons in conducting polymers constitute an emerging route towards intelligent metasurfaces, but polymer plasmons have so far suffered from weak resonances with low quality factors (Q < 1-2). Here, we address this by nonlocal coupling of individual poly(3,4-ethylenedioxythiophene) (PEDOT) nanoantennas through collective lattice resonances (CLR) in periodic arrays. The results show that careful tuning of CLR matching conditions enables organic plasmonics with up to ten times improved Q compared with previous reports. Angle-dependent extinction spectra connect the results to the enhancement of low-loss radiative coupling from diffractive lattice effects. Furthermore, the nonlocal coupling strength between nanoantenna units and lattice could be modulated via redox reactions of PEDOT, enabling the narrow CLRs to be reversibly switched with large modulation depth (between 7% and 45% extinction). By improving both resonance strength and Q, the study circumvents previous limitations of conducting polymer plasmonics and shows feasibility for practical applications in active metasurfaces and nano-optic systems.