bluuebunny/crossref_metadata_2025_split huggingface dataset:
The antioxidant ability and cytotoxicity of extracted and purified R-phycoerythrin from commercial porphyra haitanensis
Authors: Haizhao Huang , Yifan Zhao , Chunchun Wang , Meng Li , Wu Xialing , Yucang Zhang 
Published: April 2024

Abstract
Porphyra haitanensis was popular as healthy food source. People mainly absorbed nutrient by intaking porphyra haitanensis foods, which leaded to poor utilization of the fluorescence characteristics of R-phycoerythrin(R-PE) in porphyra haitanensis. In this study, the R-PE protein was extracted by freeze-thawing cycle assisted with sonication and then purified from commercial porphyra haitanensis. For the purified R-PE, there was a maximum absorbance peak at 565 nm and a maximum fluorescence peak at 575 nm. SDS-PAGE result showed there were three bands-α, β, γ corresponded to 19 kDa, 20 kDa and 32 kDa. And the LC-MS results showed it was corresponded to the wild type R-PE. The purified R-PE was stable between the pH from 5 to 10 and temperature from 25 ℃ to 55 ℃. It was sensitive to Cu2 + at the limitation of 65 nM. Also, the purified R-PE behaved the good antioxidant activity of 1 mg/mL concentration and little cytotoxicity of L02 cells. These results indicated the R-PE extracted and purified from commercial porphyra haitanensis could be used as fluorescent probe to detect Cu2+ and antioxidant raw material in vitro and in vivo potentially.
“We are actually being involved in management of the patient”: A qualitative exploration of experiences of students and faculty regarding the use of clinical simulation in Busitema University and Lira University
Authors: Epuitai Joshua , Adongo Pamella R. , Oboth Paul , Apili Felister , Kumakech Edward , Owusu-Sekyere Samuel , Wandabwa Julius N 
Published: April 2024

Abstract
Introduction: Experiences regarding the use of simulation in low-resource settings like Uganda where it has not taken root have not been explored. The purpose of the study was to explore the experiences of students, clinical staff, and faculty regarding the use of clinical simulation in teaching undergraduate students.
Materials and methods: The study was conducted at Busitema and Lira Universities in Uganda. We conducted 20 in-depth interviews with the faculty staff and 10 focused group discussions with undergraduate Nursing, Midwifery, Medical and Anesthesia students. The study obtained ethical clearance from the Busitema University Research and Ethics Committee (BUFHS-2023-78) and Uganda National Council of Science and Technology (HS3027ES). Thematic analysis was used to analyze the data
Results: Four themes emerged from the data. Simulation was seen to be about improvising and (return) demonstration. Concerns of realism were expressed including notions that simulation was not real, that simulation felt real and the extreme end that simulation tends to present the ideal setting. Perceived benefits of simulation include room for mistakes and immediate feedback, enhanced confidence and self-efficacy, enhanced acquisition of soft and clinical skills, prepares students for clinical placement, convenient and accessible. Concerns were expressed related to whether skills in clinical simulation would translate to clinical competence in the clinical setting
Conclusion: Students perceived simulation to be beneficial. However, concerns about realism and transferability of skills to clinical settings were noted. Clarifying preconceived notions against the use of clinical simulation will enhance its utilization in educational settings where simulation is not readily embraced.
Phase field fracture modelling of flexible piezoelectric materials considering different electrical boundary conditions
Authors: Lv Shihao , Li Bingyang , Shi Yan , Gao Cunfa 
Published: April 2024

Abstract
Flexible piezoelectric materials have gained considerable attention due to their remarkable properties, including electromechanical coupling and high stretchability. These materials have found extensive applications in the field of flexible electronic devices. However, the issue of fracture in flexible piezoelectrics cannot be ignored. In general, these flexible/stretchable materials experience fractures when subjected to significant deformation. While previous studies have primarily focused on fracture problems of brittle piezoelectric materials with low failure strain. There is a need to investigate the fracture behavior of flexible piezoelectrics with finite deformation. Within the framework of the phase field method, this work addresses the fracture of flexible piezoelectrics utilizing a nonlinear electromechanical material model. To solve the coupled governing equations, a residual controlled staggered algorithm (RCSA) is employed in the user element subroutine of commercial software ABAQUS. By utilizing the phase field method and a nonlinear electromechanical material model, this study provides insights into the fracture mechanisms and the effects of various factors on the fracture behavior of these materials. Specifically, the effects of external electric fields, displacements, and various electrical boundary conditions across the crack are investigated. This research contributes to a better understanding of flexible piezoelectric materials and can aid in the development of strategies to enhance their fracture resistance and durability in practical applications.
A framework for harmonized cross-border seismic risk assessment
Authors: Babič Anže , Polese Maria , Tocchi Gabriella , Faravelli Marta , Borzi Barbara , Dolšek Matjaž 
Published: April 2024

Abstract
In transboundary areas, harmonizing risk assessment across borders is essential for effective risk management. However, differing methodologies for seismic risk assessment used by different countries can yield unequal results on either side of the border. This study presents a framework for harmonized cross-border time-based risk assessment, built upon established seismic risk assessment practices at the national level. The framework considers cross-border hazard, exposure, fragility, and consequence models, aiming to harmonize different data sources, methodologies, and models. An emphasis is given to a heuristic approach for the harmonization of fragility curves defined in the national fragility models. The proposed framework is implemented for the Italian-Slovenian cross-border region defined by municipalities near Gorizia and Nova Gorica. The results reveal differences in seismic risk levels between the building stocks on the Slovenian and Italian sides, primarily due to higher building density, seismic hazard, and vulnerability in Italy, while the seismic risk to people was observed to be nearly equal for urban centres like Gorizia and Nova Gorica. These findings can be used to design joint strategies for long-term risk management of the analysed cross-border region. However, further research is needed, particularly to overcome limitations related to the data sources of the exposure models and methodologies for fragility and consequence models, which can be addressed over a long period through systematic standardization of cross-border seismic risk assessment.
PFDP: Privacy-preserving Federated Distillation Method for Pretraining Language Models
Authors: Chen Chaomeng , Su Sen 
Published: April 2024

Abstract
Advances in Natural Language Processing (NLP) have been significantly driven by the adoption of comprehensive pretrained language models (PLMs) such as BERT, RoBERTa.
Nevertheless, increasing concerns regarding data privacy and the enforcement of stringent data protection regulations, such as PDPA and GDPR, have highlighted the limitations of traditional centralized machine learning methods.
Federated Learning (FL) emerges as a promising solution that mitigates privacy concerns by training models on client devices and aggregating the parameters on a central server, thus avoiding direct data transfer.
Despite its considerable potential, FL?s application in NLP faces numerous challenges.
These include the need to replicate architectural designs across different devices, the management of non-Independent and Identically Distributed (non-IID) data, and the significant communication overhead caused by frequent transfers of model parameters.
Federated Distillation (FD) has been proposed to overcome these challenges by facilitating information transfer through unlabeled public proxy datasets. This approach helps to reduce communication costs and promotes collaboration among different model architectures. However, FD carries potential privacy risks and may result in substantial loss of previously acquired knowledge, thus diminishing the model's effectiveness.
To address these issues, we introduce the Privacy-preserving Federated Distillation Method for Pretraining Language Models (PFDP).
Our approach distinguishes itself from conventional methods by injecting noise into a select portion of a predetermined dataset, thereby minimizing its impact on the model's utility. Besides, PFDP utilizes transfer learning to improve the generalization abilities of the global model and reduce the impact of catastrophic forgetting. The extensive assessment across many classification tasks illustrates the efficacy of PFDP in enhancing accuracy while safeguarding privacy.
Retrospective Multicenter Study of Elderly Patients With Platinum-Sensitive Relapsed Ovarian Cancer Treated With Trabectedin and Pegylated Liposomal Doxorubicin (Pld) in a Real- World Setting: A Geico Study
Authors: Rubio María Jesús , Manzano Aránzazu , de Sande Luis Miguel , Estévez-García Purificación , Gordon María del Mar , de Prado Diego Soto , de Aranguiz Blanca Hernando Fernández , Guerra-Alia Eva M. , Carbó-Bagué Anna , Romero Ignacio , Corbellas Miguel , González-Haba Alba , Robles-Barraza Carlos E. , Martínez-García Jerónimo , González-Martín Antonio 
Published: April 2024

Abstract

Background
.Trabectedin in combination with pegylated liposomal doxorubicin (PLD) is approved for the treatment of patients with platinum-sensitive relapsed ovarian cancer. Nevertheless, there is currently limited information regarding this treatment in elderly patients with ovarian cancer in a real-world setting.
Methods.
This observational and multicentric study retrospectively evaluated trabectedin plus PLD in a real-world setting treatment of elderly patients diagnosed with platinum-sensitive relapsed ovarian cancer, treated according to the Summary of Product Characteristics (SmPC) from 15 GEICO-associated hospitals. Patients ≥ 70 years old at the time of treatment initiation and platinum-free intervals ≥ 6 months were considered eligible.
Results
Forty-three patients with a median age of 74.0 years were treated between January 1st, 2015, and December 31st, 2019 in 15 Spanish centers. Four patients achieved complete response (9.3%), 14 (32.6%) partial response, and 13 (30.2%) stable disease as the best radiological response. In the analysis of biological overall response according to CA125 serum levels (i.e., Rustin criteria), 14 responded to the treatment (32.6%), 11 responded and normalized (25.6%), three patients stabilized (7.0%) and three progressed (7.0%). Median progression-free survival (PFS) and overall survival (OS) in the study population were 7.7 and 19.5 months, respectively. The most common grade 3/4 adverse events were neutropenia (n = 8, 18.7%) and asthenia (n = 5, 11.6%).
Conclusions.
This analysis demonstrated that trabectedin combined with PLD is a feasible and effective treatment in elderly patients with platinum-sensitive relapsed ovarian cancer, showing an acceptable safety profile, which is crucial in the palliative treatment of these patients.
Evaluation of Perceived Barriers Towards Medical Research among Undergraduate Students
Authors: Emmanuel Mgbedo Nnaemeka , Hussain Aysha , Odzelashvili Inga 
Published: April 2024

Abstract
Background: Research knowledge is crucial in every discipline and profession, especially in healthcare. We aimed to examine the practice, attitude, and perceived barriers to research among medical students, from the University of Georgia.
Methods: This study involved all undergraduate students from the medical, nursing, dentistry, and pharmacy departments of the University of Georgia. 274 students completed this cross-sectional study conducted from February to March 2024. The questionnaire was prepared in Google form which was shared through the University intranet. The data were collected using a self-administered questionnaire and performed statistical analysis using Statistical Package for Social Sciences version 23.0 software.
Results: Most of the participants were international students (94.9%), from the medical department (81.8%) with a mean age of 20.57 (SD D± 2.23). 81.8% never participated in a research project, and 86.9% never attended a research workshop or training. Most of the participants had a positive attitude toward the research study. The commonly perceived barriers were lack of funding, guidance, time, and familiarity with research statistical analysis.
Conclusion: We observed that most of the students had an interest in having a research experience but were faced with difficulties achieving the goal. We suggest that students should be provided with more research opportunities, training, and scholarships that can improve their knowledge and skills in advancing innovation.
Daily versus Twice Daily Nifedipine for Blood Pressure Control in Pregnancy and Postpartum
Authors: Peterson Jessica A. , Band Isabelle C. , Wang Kelly , Bianco Angela 
Published: April 2024

Abstract
Background
Hypertensive disorders of pregnancy (HDP) may be managed with oral anti-hypertensives, however pregnancy induced changes in the hormonal milieu and volume of distribution make it difficult to determine optimal dosing regimens. Nifedipine is a first line therapy for treatment of HDP. The purpose of this study is to compare 60mg daily (QD) of extended released (XR) nifedipine to 30mg twice daily (BID) for blood pressure (BP) control antepartum and postpartum.
Methods
This is a retrospective chart review conducted at the Mount Sinai Health System. Patients admitted from 1/1/2015-4/30/2021, diagnosed with a hypertensive disorder of pregnancy and received nifedipine XR 30mg BID or 60mg QD for intrapartum or postpartum BP control were included. The primary outcome was need for up titration after reaching one of the study doses (30mg BID or 60mg QD), up titration was defined as either an increase in nifedipine dose or addition of another anti-hypertensive. Patients were excluded if they had preexisting renal disease or were already on oral anti-hypertensive medication. In a 1:1 ratio between single daily dosing group and twice daily dosing group, the sample size needed to detect a 20% difference in up-titration rate to achieve 0.80 power is 97 patients per group, for a total of 194 patients. This calculation is based on a Pearson Chi-square test with a significance level of 0.05.
Results
237 patients were included, 139 (59%) received 30 mg BID and 98 (41%) 60 mg QD. There was no statistically significant difference in the need for increase in nifedipine dose or addition of another oral anti-hypertensive agent between those receiving 30mg BID versus 60mg QD (33.8% vs 35.7%; aOR (95% CI): 0.90 (0.50–1.60); p = 0.71). Additionally, there was no difference in need for emergency hypertensive treatment after reaching study dose (p = 0.19) or readmission for BP control between the two groups (p > 0.99).
Conclusions
These findings suggest that BID dosing does not confer better blood pressure control in the antepartum or postpartum periods, thus daily dosing is reasonable and may be preferable for patient convenience and compliance.
Leveraging the power of transformers for guilt detection in text
Authors: Meque Abdul Gafar Manuel , Angel Jason G. , Sidorov Grigori , Gelbukh Alexander 
Published: April 2024

Abstract
In recent years, language models and deep learning techniques have revolutionized natural language processing tasks, including emotion detection. However, the specific emotion of guilt has received limited attention in this field. In this research, we explore the applicability of three transformer-based language models for detecting guilt in text and compare their performance for general emotion detection and guilt detection. Our proposed models greatly outperformed the current state of the art.
Additionally, we analyze the challenges in developing accurate guilt-detection models and evaluate our model's effectiveness in detecting related emotions like \say{shame} through qualitative analysis of results.
A study on Mechincal Properties of Inorganic Binders used in Textile Reinforced Concrete Using Artificial Neural Network
Authors: A Mohan , Madhavi T Ch 
Published: April 2024

Abstract
Textile-reinforced concrete (TRC) is a new and high-performance material made by embedding textile fibers into a matrix. Unlike traditional concrete, TRC doesn't contain coarse aggregate and has a higher proportion of cement paste. In this study, three different types of binders organic, inorganic geopolymer, and epoxy were examined for their impact on compressive and split tensile strengths. These binders were compared by testing mortar cubes (sized 70.6 mm) and cylinders (sized 75 × 150 mm) to see how they affect the properties of TRC. Various types of textile fabrics, including ARG, Basalt, and Hybrid, were experimented with to see how they influence compressive strength and failure modes. The study also examined how the thickness of the textile reinforcement (ranging from 5 to 15 mm) affects TRC performance. The results show that using a hybrid textile fabric with a cementitious binder leads to higher compressive strength. The experimental data underwent verification through the ANN method, where the neural network was trained akin to standard experimental research methodologies. With an impressive accuracy (R2 > 0.99), the ANN model successfully predicted mechanical properties, establishing its reliability in estimating responses and identifying parameters. Additionally, ANN techniques were instrumental in determining the optimal parameters for the study
R.F.L.E.C.T: Enhancing Vietnamese EFL Undergraduates' Pronunciation Proficiency
Authors: Nhat Ton Nu My , Hien Hoang Thi Thu 
Published: April 2024

Abstract
This research employs reflective writing to aid Vietnamese EFL tertiary-level learners in deepening their understanding of English pronunciation by gaining insights into their individual learning experiences. Using an explanatory mixed-methods design, the study involved 94 English-major undergraduates. Quantitative dataset included students’ test scores to assess the learners’ pronunciation ability and the impact of reflective practice on their proficiency in this area. Qualitative dataset consists of the learners’ reflective writings, the thematic analysis of which elucidates the learners’ pronunciation problems, shedding light on their learning journey, specifically their general attitude towards English pronunciation development, the challenges they encounter, the teachers’ instructional approaches, the social and educational context, and the resources, and their voices on how to improve English pronunciation in a foreign context. Results affirm the positive effects of reflective writings on learning outcomes, highlighting students’ active engagement in their educational environment. The study discusses the key values of reflection in higher education using the acronym R.F.L.E.C.T (Realization, Facilitation, Learning, Enhancement, Empowerment, Critical Thinking, andTransformation). While conducted in the context of EFL education in Vietnam, the findings contribute significantly to the international literature on reflective practices, particularly in the teaching and learning of English pronunciation among EFL/ESL learners.
Checking the quality of drinking water in UC Rasheed Wagan, Sindh, Pakistan
Authors: Faraz  
Published: April 2024

Abstract
Drinking water is very important for life. But in the whole world drinking water is not good now for drinking purpose. That’s why this research was done to anlyse the suitability of UC Rasheed Wagan in Larkana. For this purpose 20 samples were taken from different locations and testing was done at the laboratory in technical college Larkana. The water quality parameters such as Ca, Mg, TH, TDS, EC, NO2, NO3, pH, Color and odor was tested for each samples. All standard methods were followed for assessment of water quality. The results revealed that concentration of various physicochemical in Groundwater of UC Rasheed wagan was beyond allowable limit. Only pH was within the limits. Overall, 65% of samples exhibited concentration of Chloride beyond the WHO limit. TH, TDS, EC, Ca, Mg, NO2, NO3, and Zn exceeded in 67%, 88%, 88%, 56%, 29%, 25%, and 18% of groundwater samples. Taste was alos bitter in more 67% of water samples. Overall, the water in UC Rasheed wagan is contaminated to be drunk
MI-BMPI Motor Imagery Brain--Mobile Phone Dataset and Performance Evaluation of Voting Ensembles Utilizing QPDM
Authors: Yilmaz Cagatay Murat , Yilmaz Bahar Hatipoglu , Kose Cemal 
Published: April 2024

Abstract
EEG-based interfaces are an active area of research that has great potential. We therefore focused on classifying motor imaging (MI) tasks from various problem areas. Because of that, we applied MI patterns to voting ensembles differently and constructed voters. They employ quasi-probabilistic distribution models based sub-classifiers made up of different frequency bands and time segments. Much previous work focused on just a few MI tasks for BCIs. To that end, we constructed a new mobile EEG dataset, abbreviated as MI-BMPI, containing two major gestures for mobile phone interfaces, and thus brain-mobile phone interfaces (BMPI) was added to the problem domain. In the research experiments, a consumer market EEG system, the mobile wireless Emotiv EPOC Flex neuroheadset, was used. Experiments were carried out on the BCI Competition IV Dataset 2a and MI-BMPI. On the BCI and BMPI datasets, promising results were obtained in classifying various MI tasks. In conclusion, new solutions were introduced for tougher EEG-based interfaces, which have potential in the classification of MI tasks and the development of EEG-based interfaces. In addition to the average performance improvements, more stable results were achieved for both subject and task variations.