bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-term knowledge retention in medical genetic disciplines: relationship with teaching format and learning styles
Authors: Rozenfeld S. V. , Vatskel E. A. , Vanchakova N. P. , Korzhenevskaya M. A. 
Published: January 2025

Aim. To study the long-term knowledge retention in medical genetic disciplines and its reference to teaching format and learning styles.Material and methods. Knowledge retention was assessed in General Medicine students (n=63; men, 16%; women, 84%). The data was obtained in the 4th year full-time students and 1st year mixed (in-person and distance) students (retrospectively). Knowledge retention was assessed by analyzing academic performance tests. Learning styles were studied using the Learning Styles Questionnaire (LSQ).Results. When comparing the knowledge retention in medical and biological disciplines studied in person (Genetics in year 1) and online (Parasitology in year 1), no significant difference was found. At the same time, after updating the genetics knowledge obtained in year 1 in the 4th year, students showed better results in the Medical and Biological Consulting course than in "factual" reproduction of knowledge. Reflective and theoretician learning styles dominated in 4th year students.Conclusion. It is necessary to develop professional thinking associated with the logic of professional activity and allowing one to quickly update what has been studied and supply the deficient knowledge. The assumption about the favorable influence of the theoretician and reflective learning styles needs verification in further studies.
Risk factor analysis of endometriosis in women of reproductive age: a tertiary care level hospital study in Bangladesh
Authors: Panna Benozir Haque , Siddiqua Sehereen F. , Ara Iffat , Sultana Tahmina 
Published: January 2025

Background: Endometriosis is a disease in which tissue near the lining of the uterus grows outside the uterus. It can originate severe pain in the pelvis and make it harder to get pregnant. In several studies, several factors have been identified as the risk factors of endometriosis. But in Bangladesh, we have very limited research-based information regarding this issue. This study aimed to assess the risk factors of endometriosis in women of reproductive age.
Methods: This case-control study was conducted in the department of obstetrics and gynecology, Anwer Khan modern medical college, Dhaka, Bangladesh from January 2019 to December 2019. As per the inclusion criteria, in total 24 women of reproductive age with endometriosis were enrolled in the case group (Group 1). On the other hand, 24 age-matched women without endometriosis were enrolled in the control group (Group 2). A purposive sampling technique was used in sample selection. All the demographic and clinical data were analyzed by using the SPSS version 23.0 program and disseminated by the MS office program.
Results: In this study, assessing the risk factors of endometriosis among various reproductive histories of the participants revealed statistically significant correlations between the groups for the age of 30-40 years, late marriage, late childbearing, dysmenorrhea, and family history of endometriosis, with p values less than 0.05. However, when comparing genital tract obstruction, frequent and prolonged menstrual cycles, and nulliparity, we observed noticeable differences between the groups, but these were not statistically significant.
Conclusions: Age of 30-40 years, late marriage, late childbearing, dysmenorrhea, and family history of endometriosis may be considered the potential risk factors for endometriosis in women of reproductive age.
Prospective study to analyse effectiveness of Samartharam suction canula as a preventive strategy for postpartum haemorrhage in high-risk mothers at a teaching hospital over a period of one year
Authors: Shanthavibala  , Mohanapriya  , Karunya  , Priyanka  
Published: January 2025

Background: To analyse the effectiveness of Samartharam suction canula as a preventive strategy along with routine Active management of third stage of labour (AMTSL) in women who are high risk for pph. Incorporating SR canula along with routine AMSL might help in reducing the incidence of postpartum haemorrhage (PPH).
Methods: This is a hospital based comparative prospective cross-sectional study, carried out among 150 high risk women for PPH who delivered vaginally in department of obstetrics and gynaecology, govt. Theni medical college and hospital, Theni between October 2020 to October 2021. All the women received 10 units of oxytocin IM at the appearance of anterior shoulder, or uterine massage and controlled cord traction. SR cannula was applied in 75women and in another 75 women all other uterotonics (oxytocin, misoprostol and tranexamic acid) for preventing PPH were used.
Results: Mean age of the patients was observed in the age group of 21-30 years (SR suction canula=49, medical management=50). Comparison between SR suction canula and medical methods. In this study it was observed, in higher number of cases the bleeding stopped immediately and there was a significant reduction in the amount of blood loss and the need for blood transfusion. Whereas, bleeding stopped immediately only in lower numbers, in whom medical management alone was used.
Conclusions: This study provides a promising insight, as a prophylactic strategy for prevention of atonic PPH for high-risk mothers.
Analysis of maternal and fetal outcome in twin pregnancy
Authors: N. Sunanda , R. Nikitha 
Published: January 2025

Background: The use of fertility drugs, in-vitro fertilization, gestational age and other factors contribute to the rising incidence of multiple pregnancies. Multiple pregnancies are associated with increased risk of obstetric complications and perinatal mortality and morbidities. The present study analyzes maternal and perinatal outcomes in multiple pregnancies to identify associated complications and reduce risks.
Methods: A retrospective study was conducted in the OBG department of MMCRI, from January 2023 to December 2023. Data from 182 twin deliveries were analyzed. All women diagnosed with twin pregnancies via clinical or ultrasound examination were included.
Results: Of the 7598 deliveries recorded, 182 (3.72%) were twin deliveries. The mean maternal age was 27.32±4.5 years. Most twin pregnancies occurred in multigravida women (67.7%) and were conceived after ovulation induction (74.43%). Dichorionic twins (71.4%) were more common than monochorionic twins (19.54%). Spontaneous delivery occurred in 132 (71.4%) cases, while 28.6% were induced. The rate of LSCS was 34.67%, with the most common indication being first twin not being cephalic. Preterm labour (72.7%), anemia (42%) and hypertensive disorders (38%) and postpartum hemorrhage (14.33%) were the most common complications. Single fetal demise occurred in 10% cases 10%.
Conclusions: Twin pregnancies are more common in advanced maternal age and often result from fertility treatments. Early diagnosis, vigilant prenatal and postnatal care and timely intervention can significantly reduce maternal and perinatal risks.
Stepwise approach to a large fibroid uterus in a nulliparous woman: a case report
Authors: Nahar Kirty , Hiremath Gayatri , Nahar Nikita 
Published: January 2025

Leiomyomas are the most common benign pelvic tumour in the reproductive age women accounting for almost 20-25% incidence in general population. Leiomyomas are monoclonal tumours of the smooth muscle cells of the myometrium containing varying amount of fibrous tissue. A 45-year-old, unmarried, nulliparous woman presents with large distended abdominal swelling and heavy bleeding during her periods at a tertiary care hospital. This case report magnifies varying risk factors, diagnosis and management of large uterine fibroids and highlights joint diagnosis and decisions of gynaecologist, radiologist and pathologist. After putting forth various modes of treatment options, the definitive treatment was decided considering her age, severity of symptoms, that is fibroid impacting her quality of life and her future parity interest. This particular case showcases successful preoperative medical treatment, timely investigations and planned surgery for optimal patient outcome.
Post-Memory and Family Bonds: Trauma Transmission in the Orphan Train Narrative
Authors: Ulfah Helmatun Fauza 
Published: January 2025

The concept of post-memory, introduced by Marianne Hirsch, offers a framework for understanding how collective memory is transmitted across generations. This study examines intergenerational trauma through a qualitative descriptive analysis of Christina Baker Klein's novel Orphan Train. It focuses on Vivian Daly’s traumatic experiences as an orphan train rider and their impact on her identity and familial memory. The research aims to explore how Vivian’s past shapes her understanding of her history, her role within her family narrative, and how family narratives and inherited objects contribute to preserving memory and transmitting trauma intergenerationally. Findings reveal that family narratives and objects play a critical role in maintaining memory and shaping familial identity. These elements not only preserve individual experiences but also act as conduits for transmitting collective trauma across generations. Contextually, this study highlights the broader relevance of post-memory in social situations such as migration or cultural conflict, where trauma influence’s identity formation and community ties. By situating its findings within the discourse on collective memory and trauma, this research contributes to understanding how personal and familial histories intersect to shape intergenerational identities. This study underscores the importance of considering intergenerational trauma in analysing collective memory processes.
Keywords: Collective Memory; Family Narratives; Intergenerational Trauma; Post-Memory
Chitosan nanoparticles as potential antimicrobial coating
Authors: Peršin Fratnik Zdenka , Maver Uroš , Kolar Metod , Šauperl Olivera , Fras Zemljič Lidija , Vihar Boštjan 
Published: January 2025

Purpose: To evaluate the antimicrobial efficacy of chitosan nanoparticles in comparison to a chitosan solution, as well as to assess their practical application on medical textile materials.
Methods: Dispersions of nanoparticles with different weight fractions of chitosan were prepared. An optimal chitosan nanoparticle system for textile material application was identified based on analyses of charge, particle size, changes in surface charge (zeta potential), concentration of free amine groups (polyelectrolyte titration), morphology, and antimicrobial properties. The effect of the nanoparticles dispersion application compared to the chitosan solution was determined using the ASTM E2149-01 antimicrobial test with Gram-positive (Staphylococcus aureus) and Gram-negative (Escherichia coli) bacteria and a fungus (Candida albicans).
Results: More effective application of chitosan was noted with the incorporation of chitosan nanoparticles. Applying chitosan on the inside and outside of the functional material enhanced the specific surface area and improved the accessibility of the chitosan coatings. Applying chitosan nanoparticles provided effective antimicrobial protection against all three microorganisms tested.
Conclusions: Chitosan deposition in the form of nanoparticles compared in form of solution, offered better antimicrobial protection. Such functionalised material presents a promising application in medical textile materials.
Perception of patient-centered care in three fertility clinics: influence of domestic or cross-border treatment and reimbursement policy
Authors: Vlaisavljević Veljko , Kovačič Borut 
Published: January 2025

Introduction: This study aimed to evaluate the experience of patients undergoing patient-centered care (PCC) at three fertility clinics in Southeastern Europe in terms of the treatment cost coverage and quality of care provided.
Methods: Couples who underwent assisted reproductive technology (ART) were divided into three groups: (i) Slovenian patients covered under the national insurance programme; (ii) self-pay patients receiving treatment in their country of origin/a clinic abroad; and (iii) cross-border self-pay patients receiving treatment in Maribor, Slovenia.
A standardized questionnaire, the “Patient Centeredness Questionnaire on Infertility Treatment (PCQ-Infertility)”, was translated into each patient’s native language and administered to 400 couples, of whom 78% completed it. For each of the three patient groups, the mean scores of the PCC domains and indicators were calculated. These data were then used for the score gap analysis.
Results: Overall, the domain assessing the competence level of medical staff produced the biggest score domain gap (SDG) in the group of cross-border, self-pay patients, while the smallest score was observed for the health organization domain in the group of domestic patients with reimbursed cycles. In our research, the indicator corresponding to information about any possible side-effects of the prescribed medication produced the smallest score indicator gap (SIG), while the biggest SIG was observed for staff members assigned to be contacted for questions at any time.
Conclusion: The results did not show that the financing method of ART treatment affected patient experiences of PCC. Although the competence of the medical staff is rated highly, domestic patients with reimbursed ART cycles continue to experience a lack of PCC in the health organization domain.
Sliding Gaussian ball adaptive growth: point cloud-based iterative algorithm for large-scale 3D photoacoustic imaging
Authors: Li Changhui , Yao Yao , Li Shuang , Wang Yibing , Gao Jian , Kim Chulhong , Choi Seongwook , Zhang Yu , Chen Qian 
Published: January 2025

Abstract

Large-scale 3D photoacoustic (PA) imaging has become increasingly important for both clinical and pre-clinical applications. Limited by cost and system complexity, only systems with sparsely-distributed sensors can be widely implemented, which desires advanced reconstruction algorithms to reduce artifacts. However, high computing memory and time consumption of traditional iterative reconstruction (IR) algorithms is practically unacceptable for large-scale 3D PA imaging. Here, we propose a point cloud-based IR algorithm that reduces memory consumption by several orders, wherein the 3D PA scene is modeled as a series of Gaussian-distributed spherical sources stored in form of point cloud. During the IR process, not only are properties of each Gaussian source, including its peak intensity (initial pressure value), standard deviation (size) and mean (position) continuously optimized, but also each Gaussian source itself adaptively undergoes destroying, splitting, and duplication along the gradient direction. This method, named the sliding Gaussian ball adaptive growth (SlingBAG) algorithm, enables high-quality large-scale 3D PA reconstruction with fast iteration and extremely low memory usage. We validated SlingBAG algorithm in both simulation study and in vivo animal experiments.
Iron-catalyzed carbene and carbene radical cascade reactions: Mechanistic study and synthetic applications
Authors: Xu Xinfang , Zhang Xinke , Yao Minghan , Chen Kewei , Weng Yuecheng , Ehlers Andreas , de Bruin Bas 
Published: January 2025

Abstract

Transition metal-catalyzed carbene transfer reactions are some of the most widely used methods that facilitate a range of otherwise inaccessible chemistry. However, these advantages generally promoted by precious metal catalysts, using inexpensive and less toxic iron complexes as catalysts is under development. Moreover, surprisingly little is known about the mechanistic aspects, in particular the structures of these intermediates. Herein, we report an iron-catalyzed cascade reaction of alkyne-tethered diazo compounds, offering an efficient approach for the synthesis of carbocyclic molecules with structural diversity and flexibility under mild conditions. Control experiments and density functional theory calculations unambiguously reveal two distinct reaction pathways catalyzed by either Fe(II) or Fe(III) porphyrin complexes, which involves carbene and carbene radical intermediates, respectively. The structure of the key vinyl iron carbene intermediate has been determined by X-ray diffraction. The synthetic utility has been demonstrated by gram-scale preparation and synthesis of poly-substituted arenes via a streamlined one-pot process.
Classifier-free Graph Few-shot Learning via Label-aware Clustering
Authors: Yang Haoran , Wang Junli , Hu Liang , Duan Rui , Yan Chungang 
Published: January 2025

Abstract

Graph few-shot learning implies achieving node classification with extremely limited label information. To mitigate theperformance degradation of the graph neural network model under label scarcity, some previous work has attempted to facilitate the subsequent classification task with the aid of deep clustering. However, these methods merely treat this process as an intermediate step in providing prior knowledge, and do not fully exploit the potential of the clustering technique, which prevents the model from being trained in a more intuitive end-to-end manner. Therefore, we propose a novel graph few-shot learning framework via label-aware clustering (GFL-LC), benefiting from a tailored clustering process, our framework can obtain the final classification result without the classifier. Specifically, for the purpose of encouraging labeled nodes with the same class to learn similar feature representations that contribute to clustering them into the same cluster, we first engage label information in the graph representation learning process by defining an objective function. Next, on the basis of obtaining the preliminary label-aware clustering result, we draw on the idea of reinforcement learning to further improve its quality, which is capable of introducing optimization guidance by providing feedback from both the accuracy of labeled node division and structural rationality. Finally, considering that the ultimate task is a classification task, we design an alignment mechanism to process the clustering result, and transform it into the classification result. Comprehensive experiments on several benchmark datasets show that GFL-LC outperforms its peers, and confirms the superiority of our framework under the few-shot setting.
Risk factors of postoperative pulmonary complications after mandibular fracture
Authors: Liao Shuwei , Zhu Guanxiong , Zeng Liting , Yu Yang , Zhang Zeyu , Zhang Hongru , Wang Jingyuan , Yu Lina 
Published: January 2025

Abstract

Background
Mandibular fractures are common in human activities, and the treatment and recovery process are complicated, which can easily lead to postoperative pulmonary complications (PPCs) in patients. This study investigated the risk factors for PPCs after mandibular fracture surgery using the National Inpatient Sample database.
Method
Data were analyzed from the National Inpatient Sample (NIS) database, which covered patients who underwent mandibular surgery from 2010 to 2019. The database included patient demographics, hospital characteristics, patients’ comorbidities, and complications. Regarding the analysis methods, univariate and multivariate analyses were employed.
Result
A total of 41,984 patient samples were collected, comprising 3,514 patients with PPCs, 1,347 with pneumonia, 2,452 with ARF, and 212 with PE. For patients with PPCs, there was a significant increase in the length of stay (LOS) by 12 days, the total charge (TOTCHG) by $163,579, and the mortality rate by 8.9%. Following the analysis, the following risk factors were identified: advanced age, excessive comorbidities (n ≥ 3), fluid and electrolyte disorders, obesity, congestive heart failure, coagulopathy, peripheral vascular disorders, pulmonary circulation disorders, respiratory diseases, other neurological disorders, and paralysis.
Conclusion
In this study, statistical methods were employed to identify the risk factors for pulmonary complications following mandibular fractures, which can aid in the establishment of a sound surgical procedure.
Enhancing urban resilience through integrated flood policy and planning: a mixed-methods evaluation of retention ponds for flood mitigation in South Bandung
Authors: Permanasari Eka , Wijaya Marco , Feliren Vicky , Khikmah Fithrotul , Lechner Alex , Virani Altaf , Saputra Risqi 
Published: January 2025

ABSTRACT
This study focuses on South Bandung, an area where flooding is a recurring problem, causing significant damage to infrastructure and displacing local residents. The region's vulnerability stems from its geographical location, surrounded by rivers and low-lying areas, coupled with challenges such as the heavily polluted and sedimented Citarum River. This research examines the role of retention ponds in Andir and Cieunteung as a strategic response to these flood management challenges. The study employs a mixed-methods approach, integrating remote sensing and Geographic Information System (GIS) analysis with deep learning-based semantic segmentation techniques to evaluate the hydraulic performance of the retention ponds. Normalized difference water index and semantic segmentation approaches using multispectral images (red, green, and blue and near-infrared) from the PlanetScope constellation satellite are utilized to assess water bodies and flooding patterns, while field observations and stakeholder interviews provide qualitative insights into the operational effectiveness of these infrastructures. While this study highlights that the construction of retention ponds can help mitigate flood events, it also emphasizes the importance of an integrated approach combining urban planning, community engagement, and multi-scale infrastructure development in addressing the complex challenges of flood resilience and urban sustainability.
Stormwater hydrographs from the highly urbanized catchment for synthetic rainfalls with linear patterns
Authors: Vovk Lesya , Zhuk Volodymyr 
Published: January 2025

ABSTRACT

Rainfall intensity is a critical input factor in rainfall–runoff modelling. This study examines the impact of intensity irregularities on runoff hydrographs, focusing on synthetic rainfall events with linear variations in intensity at different rates. The effects of rainfall intensity parameters on stormwater hydrographs in a highly urbanized, fully impervious small square catchment for the climatic conditions of Lviv (Ukraine) are studied numerically using the stormwater management model program. Initial depression depths in the range of 0–5 mm, with corresponding Manning's roughness coefficients from 0.01 to 0.018, are considered. The peak flow rates of resulting hydrographs consistently align with a dimensionless coefficient of linear intensity variability k′ = +1, while the minimum values correspond to k′ = −0.67. The maximum peak flow rates for the intensity coefficient of k′ = +1 can be expressed as the product of the peak flow rate for a design rainfall event of constant intensity and the generalized adjustment factor Ktot, which shows a clear linear correlation with depression depth. The findings of this study offer new insights into stormwater runoff behaviour under varying rainfall intensities, providing valuable information for urban water management and flood risk assessment in highly impervious urban catchments.