bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pathology skills lab: use of macroscopic tumor models in pathology teaching
Authors: Bernhardt Marit , Sanders Christine , Hommerding Oliver , Nagy Dora , Kreft Tobias , Zhou Xiaolin , Kristiansen Glen 
Published: May 2024

Abstract
Background
The shortage of pathologists in Germany, coupled with an aging workforce, requires innovative approaches to attract medical students to the field. Medical education must address different learning styles to ensure that all students are successful.

Methods
The pilot project “Practical Pathology” aims to enhance students' understanding of pathology by providing hands-on experience in macroscopic gross analysis through the use of tumor dummies built from scratch.

Results
An evaluation survey, completed by 63 participating students provided positive feedback on the course methodology, its relevance to understanding the pathology workflow, and its improvement over traditional teaching methods. The majority of students recognized the importance of hands-on training in medical education. Students with previous work experience rated the impact of the course on knowledge acquisition even more positively.

Conclusion
The course improved students' understanding of pathological processes and potential sources of clinical-pathological misunderstanding. An increase in motivation for a potential career in the field of pathology was observed in a minority of students, although this exceeded the percentage of pathologists in the total medical workforce.
Enhancing AI competence in health management: students’ experiences with ChatGPT as a learning Tool
Authors: Naamati-Schneider Lior 
Published: May 2024

Abstract
Background
The healthcare industry has had to adapt to significant shifts caused by technological advancements, demographic changes, economic pressures, and political dynamics. These factors are reshaping the complex ecosystem in which healthcare organizations operate and have forced them to modify their operations in response to the rapidly evolving landscape. The increase in automation and the growing importance of digital and virtual environments are the key drivers necessitating this change. In the healthcare sector in particular, processes of change, including the incorporation of artificial intelligent language models like ChatGPT into daily life, necessitate a reevaluation of digital literacy skills.

Methods
This study proposes a novel pedagogical framework that integrates problem-based learning with the use of ChatGPT for undergraduate healthcare management students, while qualitatively exploring the students’ experiences with this technology through a thematic analysis of the reflective journals of 65 students.

Results
Through the data analysis, the researcher identified five main categories: (1) Use of Literacy Skills; (2) User Experiences with ChatGPT; (3) ChatGPT Information Credibility; (4) Challenges and Barriers when Working with ChatGPT; (5) Mastering ChatGPT-Prompting Competencies. The findings show that incorporating digital tools, and particularly ChatGPT, in medical education has a positive impact on students’ digital literacy and on AI Literacy skills.

Conclusions
The results underscore the evolving nature of these skills in an AI-integrated educational environment and offer valuable insights into students’ perceptions and experiences. The study contributes to the broader discourse about the need for updated AI literacy skills in medical education from the early stages of education.
Comparison of children and adults in deep brain stimulation for Tourette Syndrome: a large-scale multicenter study of 102 cases with long-term follow-up
Authors: Gao Yuan , Wang Shu , Wang Anni , Fan Shiying , Ge Yan , Wang Huimin , Gao Dongmei , Wang Jian , Mao Zhiqi , Zhao Hulin , Zhang Hua , Shi Lin , Liu Huanguang , Zhu Guanyu , Yang Anchao , Bai Yutong , Zhang Xin , Liu Chong , Wang Qiao , Li Renpeng , Liang Kun , Brown Kayla Giovanna , Cui Zhiqiang , Han Chunlei , Zhang Jianguo , Meng Fangang 
Published: May 2024

Abstract
Background
Deep brain stimulation (DBS) is a promising therapy for refractory Gilles de la Tourette syndrome (GTS). However, its long-term efficacy, safety, and recommended surgical age remain controversial, requiring evidence to compare different age categories.

Methods
This retrospective cohort study recruited 102 GTS patients who underwent DBS between October 2006 and April 2022 at two national centers. Patients were divided into two age categories: children (aged < 18 years; n = 34) and adults (aged ≥ 18 years; n = 68). The longitudinal outcomes as tic symptoms were assessed by the YGTSS, and the YBOCS, BDI, and GTS-QOL were evaluated for symptoms of obsessive–compulsive disorder (OCD), depression, and quality of life, respectively.

Results
Overall, these included patients who finished a median 60-month follow-up, with no significant difference between children and adults (p = 0.44). Overall, the YGTSS total score showed significant postoperative improvements and further improved with time (improved 45.2%, 51.6%, 55.5%, 55.6%, 57.8%, 61.4% after 6, 12, 24, 36, 48, and ≥ 60 months of follow-up compared to baseline, respectively) in all included patients (all p < 0.05). A significantly higher improvement was revealed in children than adults at ≥ 60 months of follow-up in the YGTSS scores (70.1% vs 55.9%, p = 0.043), and the time to achieve 60% improvement was significantly shorter in the children group (median 6 months vs 12 months, p = 0.013). At the last follow-up, the mean improvements were 45.4%, 48.9%, and 55.9% and 40.3%, 45.4%, and 47.9% in YBOCS, BDI, and GTS-QOL scores for children and adults, respectively, which all significantly improved compared to baseline (all p < 0.05) but without significant differences between these two groups (all p > 0.05), and the children group received significantly higher improvement in GTS-QOL scores than adults (55.9% vs. 47.9%, p = 0.049).

Conclusions
DBS showed acceptable long-term efficacy and safety for both children and adults with GTS. Surgeries performed for patients younger than 18 years seemed to show acceptable long-term efficacy and safety and were not associated with increased risks of loss of benefit compared to patients older than 18 at the time of surgery. However, surgeries for children should also be performed cautiously to ensure their refractoriness and safety.
An eco-friendly liquid chromatographic analysis of the triple therapy protocol of amoxicillin, metronidazole and vonoprazan for H. Pylori eradication: application to combined dosage forms and simulated gastric fluid
Authors: Mahgoub Hoda , Ragab Marwa A. A. , Tarek Salma , Maher Hadir M. 
Published: May 2024

AbstractHelicobacter pylori has a big sway when peptic ulcers are concerned. For its eradication, different protocols have been approved. Among which, the tripartite therapy protocol which embraces vonoprazan as potassium competitive acid blocker in combination with amoxicillin and metronidazole as antibiotics. An environmentally benign HPLC method is addressed in order to simultaneously determine amoxicillin (AMX), metronidazole (MET) and vonoprazan (VPZ) in bulk powder and combined tablet mixture. Full separation of AMX, MET and VPZ is accomplished using C8 column, and a gradient mobile phase system, composed of methanol and phosphate buffer of a pH value of 5. Fine linearity in the concentration ranges 50–600 µg mL−1 amoxicillin, 50–400 µg mL−1 metronidazole and 10–100 µg mL−1 vonoprazan was denoted by the high correlation coefficient (0.9999). The method accuracy and precision are confirmed upon analyzing AMX, MET and VPZ triple therapy not only in their synthetic mixtures and combined tablet mixtures but also in their combined tablet mixtures in simulated gastric fluid. AMX, MET and VPZ triple therapy could be routinely analyzed in QC labs, in case of being co-formulated, using the presented method. Three different assessment tools were adopted revealing the benign environmental impact of presented method.
Relationships between body condition score, body weight and body measurements in alpacas
Authors: Buchallik-Schregel Johannes , Kiene Frederik , Buchallik Juliane , Marahrens Hannah , Ossowski Nina , Schumacher Carolin Viktoria , Gerstel Berit , Reimers Ulla , Ganter Martin , Wagener Matthias Gerhard 
Published: May 2024

Abstract
Background
The nutritional status in alpacas is often masked by their dense fibre coat. Its assessment is commonly approached by different body condition scores (BCS) that rely on manual palpation of defined anatomical regions. However, BCS is an important diagnostic tool to aid recognition of diseased South American camelids (SACs) and low BCS has been associated with conditions like anaemia and neutrophilia. For dose-dependent veterinary treatment, body weight (BW), that should be as accurate as possible, is required. As on-site weighing with scales is often not possible, BW can mostly only be roughly estimated. To date, it remains unclear whether BCS in alpacas provides reliable information on BW or the ratios of BW to body length commonly known as Body Mass Index (BMI) or Ponderal Index (PI). Equations to estimate BW based on body measurements are available in the literature. Nonetheless, respective equations were developed in growing alpacas or adult llamas and BCS was not included.

Results
To compare six different BCS approaches and to examine the relationship between BCS and BW, body measurements and BCS scores were recorded in a herd of 105 alpacas. The examined BCS approaches showed significant (p < 0.05) but poor to moderate positive correlations to BW, BMI or PI. A solely visual inspection of BCS, in contrast, was not correlated with BW, BMI or PI. Equations previously developed in other studies provided an accurate estimation of BW. Multiple linear regression showed that the accuracy in predicting BW could be further increased by adding BCS data and sex.

Conclusion
Our observations indicate that most selected BCS approaches are not only important measures of nutritional status but can also be used to create more accurate models for BW calculation in alpacas. The study also supports the claim that a purely visual inspection of alpacas is not an adequate method to evaluate the nutritional status of these animals.
The mediating role of trait emotional intelligence in the relationship between parental neglect and cognitive emotion regulation strategies
Authors: Beyazit Utku , Yurdakul Yeşim , Ayhan Aynur Bütün 
Published: May 2024

Abstract
Background
Examining children’s abilities to recognize and regulate their emotions in the context of parental neglect is of significant importance in order to comprehend the dynamics of and to support the development of emotional skills of children, particularly those at risk of neglect. From this point of view, the aim of the study was to examine the mediating role of trait emotional intelligence (trait EI) in the relationship between parental neglect and cognitive emotion regulation strategies (CERS) in children.

Method
The study group consisted of 265 children (135 girls and 130 boys) who were attending two separate primary schools in the city center of Antalya, Turkey. The mean age of the children was 10.27 ± 0.45. As the data gathering instruments, an “Individual Information Form” was administered to assess the socio-demographic information of the children, while the “Multidimensional Neglectful Behavior Scale-Child Report was administered to examine the level of neglect of children by the parents, the “Trait Emotional Intelligence Questionnaire-Child Form” was administered to assess the trait emotional intelligence level, and the “Cognitive Emotion Regulation Strategies for Children Scale” was administered to assess the CERS of the children.

Result
It was found that trait EI played a full mediator role in the relationship between CERS and both maternal and paternal neglect (p < .05), except for the relationship between paternal neglect and maladaptive CERS (p > .05).

Conclusions
The results may suggest that neglected children use all emotion regulation skills, including both adaptive and maladaptive, to cope with their negative emotional experience, but may use adaptive CERS more if their trait EI is higher.
ConvSRGAN: super-resolution inpainting of traditional Chinese paintings
Authors: Hu Qiyao , Peng Xianlin , Li Tengfei , Zhang Xiang , Wang Jiangpeng , Peng Jinye 
Published: May 2024

Abstract
Existing image super-resolution methods have made remarkable advancements in enhancing the visual quality of real-world images. However, when it comes to restoring Chinese paintings, these methods encounter unique challenges. This is primarily due to the difficulty in preserving intricate non-realistic details and capturing comple semantic information with high dimensionality. Moreover, the preservation of the original artwork’s distinct style and subtle artistic nuances further amplifies this complexity. To address these challenges and effectively restore traditional Chinese paintings, we propose a Convolutional Super-Resolution Generative Adversarial Network for Chinese landscape painting super-resolution, termed ConvSRGAN. We employ Enhanced Adaptive Residual Module to delve deeply into multi-scale feature extraction in images, incorporating an Enhanced High-Frequency Retention Module that leverages an Adaptive Deep Convolution Block to capture fine-grained high-frequency details across multiple levels. By combining the Multi-Scale Structural Similarity loss with conventional losses, our ConvSRGAN ensures that the model produces outputs with improved fidelity to the original image’s texture and structure. Experimental validation demonstrates significant qualitative and quantitative results when processing traditional paintings and murals datasets, particularly excelling in high-definition reconstruction tasks for landscape paintings. The reconstruction effect showcases enhanced visual fidelity and liveliness, thus affirming the effectiveness and applicability of our approach in cultural heritage preservation and restoration.
Bombax costatum Pellegr. & Vuillet attenuates pentylenetetrazol-induced seizure and cognitive impairment in rats via inhibition of oxidative stress
Authors: Buba Hasiya Sule , Garba Sani Hyedima , Zirahei Joseph Vandi , Chiroma Samaila Musa , Dibal Nathan Isaac 
Published: May 2024

Abstract
Objectives
Epilepsy is a neurological disorder resulting from excessive electrical discharge in the brain. Bombax costatum (BC) is an herb being used in African traditional medicine for the treatment of seizures. This study evaluated the possible anti-convulsant potential of stem bark ethanolic extract of BC on PTZ-induced kindling in rats.

Methods
Thirty-five Wistar rats were grouped into five (n = 7) and received normal saline, 35 mg/kg of PTZ, 5 mg/kg diazepam followed by 35 mg/kg PTZ after 30 min and BC stem back ethanolic extract at 125 mg/kg and 250 mg/kg followed by 35 mg/kg of PTZ intraperitoneally after 30 min. BC was administered orally daily while normal saline and PTZ were given intraperitoneally every other day for 26 days. Seizure activity was evaluated using the Racine scale, cognitive abilities through modified elevated plus maze and anxiety through forced swimming test. Further, the levels of GABA and oxidative stress biomarkers were also evaluated from the rat’s brain homogenate.

Results
Pretreatment with BC significantly reduced (p < .05) the seizure score and increased GABA level in BC treated rats when compared to PTZ alone treated rats. The first transfer latency of PTZ alone treated rats was significantly increased (p < .05) relative to the control rats and rats pretreated with diazepam and BC extract. Pretreatment with BC extract at 250 mg/kg was shown to significantly increase (p < .05) the activities of catalase, reduced glutathione, and superoxide dismutase compared to the PTZ alone treated rats.

Conclusions
Conclusively, BC was found to prevent seizure, avert neurodegeneration, and enhance cognition in PTZ-treated rats by regulating GABA level and enhancing antioxidant activity. Therefore, BC could be explored further for possible development of antiseizure agents.
Integrative genomic and transcriptomic analysis of Xanthomonas oryzae pv. oryzae pathotype IV, V, and IX in China reveals rice defense-responsive genes
Authors: Li Zecong , Shen Shujuan , Xia Kuaifei , Zhang Mingyong , Zeng Xuan 
Published: May 2024

AbstractBacterial blight of rice is a devastating disease caused by the gram-negative bacteria Xanthomonas oryzae pv. oryzae (Xoo). Chinese Xoo strain pathotypes IV, V, and IX are the major virulent Xoo strain types in South China sequentially from the 1990s to the present. Here, we report the isolation of GD0201 and GD0202, which belong to pathotypes IV and IX, respectively, and the complete genome sequence and transcriptomic analysis of GD0201 (IV), GD1358 (V), and GD0202 (IX). We found that resistance genes xa5, Xa23, and Xa27 confer strong resistance to all three Xoo strains, indicating that they are currently good choices for resistance rice breeding. The genome analysis reveals fewer TAL and non-TAL effector coding genes in GD0202 than in the other two strains, potentially contributing to its strong virulence. Transcriptomic analysis of ZH11 inoculated with the three Xoo strains strongly suggests that three Xoo strains for better infection repress the ethylene response factor (ERF) gene family members. Furthermore, weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) analysis revealed 14 hub genes potentially associated with rice response to the three Xoo strains. The expression of several hub genes was validated to be induced by all three Xoo strains, suggesting its role in bacterial blight disease response to Xoo strains. Genomic analysis of the Xoo strains belonging to pathotypes IV, V, and IX, identification of effectors and genes related to Xoo virulence in rice plants will provide insights into understanding the molecular mechanism underlying rice-Xoo interaction and the gene expression pattern in response to Xoo infection.
Impact of Clonal Hematopoiesis–Associated Mutations in Phase I Patients Treated for Solid Tumors: An Analysis of the STING Trial
Authors: Rodriguez Julieta , Baldini Capucine , Bayle Arnaud , Pages Arnaud , Danlos François Xavier , Vasseur Damien , Rouleau Etienne , Lacroix Ludovic , Alonso de Castro Beatriz , Goldschmidt Vincent , Seknazi Lauren , Hollebecque Antoine , Michot Jean-Marie , Champiat Stephane , Marabelle Aurelien , Ouali Kaissa , Marzac Christophe , Ponce Santiago , Micol Jean-Baptiste , Chaput Nathalie , Massard Christophe , Italiano Antoine 
Published: May 2024

PURPOSE With liquid biopsy's widespread adoption in oncology, an increased number of clonal hematopoiesis–associated mutations (CHm) have been identified in patients with solid tumors. However, its impact on patient outcomes remains unclear. This study aimed to analyze and describe CHm in a cohort of phase I patients. METHODS Retrospective data collection from medical records and molecular profiles (Foundation One Liquid CDx Assay) was performed before first study drug administration at the Drug Development Department of Gustave Roussy (France) within the STING trial (ClinicalTrials.gov identifier: NCT04932525 ). CHm prevalence was assessed using any and ≥1% variant allele frequency (VAF) in epigenetic modifier genes ( DNMT3A, TET2, and ASXL1). RESULTS From January 2021 to December 2022, 255 patients were enrolled in a phase I clinical trial. A total of 55% were male, with a median age of 62 years (24-86). Principal tumor locations were GI (27%) and genitourinary (21%). Overall, 104 patients (41%) had at least one CHm in liquid biopsy, with 55 patients (22%) having a VAF of ≥ 1%. The most frequent mutation was DNMT3A 73% at any VAF (n = 76) and 22% at 1% VAF (n = 23). Median progression-free survival (PFS) and overall survival were 3.8 months (m) for the CHm group versus 3.2 m for nonclonal hematopoiesis (CH; P = .08) and 18.26 m CHm versus 15.8 m non-CH ( P = .9), respectively. PFS increased in the CHm population treated with targeted therapy (hazard ratio, 0.6 [95% CI, 0.42 to 0.84]; P = .004). CONCLUSION CHm was commonly found in patients with solid tumors treated in phase I trials, with a prevalence of 41% in our cohort. The most frequently mutated gene was DNMT3A. The presence of CHm had no impact on the population of patients treated in the phase I trials.
Developing a Predictive Model for Metastatic Potential in Pancreatic Neuroendocrine Tumor
Authors: Greenberg Jacques A , Shah Yajas , Ivanov Nikolay A , Marshall Teagan , Kulm Scott , Williams Jelani , Tran Catherine , Scognamiglio Theresa , Heymann Jonas J , Lee-Saxton Yeon J , Egan Caitlin , Majumdar Sonali , Min Irene M , Zarnegar Rasa , Howe James , Keutgen Xavier M , Fahey Thomas J , Elemento Olivier , Finnerty Brendan M 
Published: May 2024

Abstract

Context
Pancreatic neuroendocrine tumors (PNETs) exhibit a wide range of behavior from localized disease to aggressive metastasis. A comprehensive transcriptomic profile capable of differentiating between these phenotypes remains elusive.

Objective
Use machine learning to develop predictive models of PNET metastatic potential dependent upon transcriptomic signature.

Methods
RNA-sequencing data were analyzed from 95 surgically resected primary PNETs in an international cohort. Two cohorts were generated with equally balanced metastatic PNET composition. Machine learning was used to create predictive models distinguishing between localized and metastatic tumors. Models were validated on an independent cohort of 29 formalin-fixed, paraffin-embedded samples using NanoString nCounter®, a clinically available mRNA quantification platform.

Results
Gene expression analysis identified concordant differentially expressed genes between the 2 cohorts. Gene set enrichment analysis identified additional genes that contributed to enriched biologic pathways in metastatic PNETs. Expression values for these genes were combined with an additional 7 genes known to contribute to PNET oncogenesis and prognosis, including ARX and PDX1. Eight specific genes (AURKA, CDCA8, CPB2, MYT1L, NDC80, PAPPA2, SFMBT1, ZPLD1) were identified as sufficient to classify the metastatic status with high sensitivity (87.5-93.8%) and specificity (78.1-96.9%). These models remained predictive of the metastatic phenotype using NanoString nCounter® on the independent validation cohort, achieving a median area under the receiving operating characteristic curve of 0.886.

Conclusion
We identified and validated an 8-gene panel predictive of the metastatic phenotype in PNETs, which can be detected using the clinically available NanoString nCounter® system. This panel should be studied prospectively to determine its utility in guiding operative vs nonoperative management.