bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving Deep Deterministic Policy Gradient with Compact Experience Replay
Authors: Neves Daniel , Ishitani Lucila , Patrocínio Zenilton 
Published: February 2024

Abstract

Experience Replay (ER) improves data efficiency in Deep Reinforcement Learning by allowing the agent to revisit past experiences that could contribute to the current policy learning. A recent method called COMPact Experience Replay (COMPER) seeks to improve ER by reducing the required number of experiences for agent training regarding the total accumulated rewards in the long run. This method can approximate good policies on Atari 2600 games on the Arcade Learning Environment (ALE) from a considerably smaller number of frame observations to achieve similar results obtained by DQN-based methods in the literature, which generally demand millions of video frames. Therefore, we conduct a detailed analysis of its components to verify and understand how they operate and how they could improve data efficiency on the Deep Deterministic Policy Gradient (DDPG) algorithm applied to physical control problems in Mujoco's environments. We present an extension of DDPG, named COMPER-DDPG, which uses components from COMPER and achieves better results than the original method in almost all environments used in the experiments with only 50,000 iterations.
Therapeutic Potential of 6-Amino Flavone: A Novel Approach for Diabetes and Inflammation via TNF-α/ p-IRS Signaling Pathway in Albino Mice
Authors: Amin Zarnosh , Alkhatabi Hind A , Subramaniyan Vetriselvan , Alreemi Roaa M , Husn Mansoor , Fayaz Wajeeha , Thatsananchalee Piyawan , Khalid Asaad , Shah Shahid Ali , Wadood Abdul 
Published: February 2024

Abstract

Diabetes, an alarming modern-day epidemic, imposes a substantial burden due to its rising incidence rate. Diabetes, in addition to its metabolic consequences, has emerged as a contributor to cognitive decline via a number of underlying processes, including neuroinflammation. Among the critical processes linked to diabetes, the release of pro-inflammatory cytokines has received a lot of attention. The aim of this current research study is to determine the potential of 6-amino flavone as an agent for treating Alloxan-induced diabetes mellitus and neuroinflammation in albino mice. The anti-diabetic and anti-neuroinflammatory effects were assessed through Y-maze, Morris water maze, and probe test in all four groups. The results indicated that the 6-amino flavone group showed a promising in-crease in short-term and long-term cognitive functions compared to the alloxan-induced group. Noticeably, the western blot analysis depicted that 6-amino flavone exerts antioxidant, anti-diabetic, and neuroprotective effects by inhibiting the p-IRS/TNF-α signaling pathway and enhancing the synapse performance via upregulation of SYP and PSD-95 proteins in the Allox-an-induced diabetes mellitus group. The results of the current study infer 6-amino flavone as a potent therapeutic drug against diabetes complications and associated neuroinflammation.
A rare case of symptomatic anomalous left circumflex artery supplying the left ventricular apex
Authors: Singh Satyajit , Varshney Amratansh , Kumar Abhishek 
Published: February 2024

Abstract
In rare occasions of coronary artery anomaly, the apex of the heart may be supplied by coronary arteries other than the left anterior descending artery. In most of the such an anomaly, the posterior descending artery originating from the right coronary artery is seen to supply the apex. However, very rarely, the apex may be supplied by the left circumflex artery. Here in this case report, we are describing a rare case of apex supplied by an obtuse marginal branch of the left circumflex artery. This case is being reported due to its rareness, unique presentation, and the dilemma that arises regarding its appropriate medical and surgical management.
Indole-3-propionic acid improves cardiac function in septic cardiomyopathy through the AhR/NF-κB/NLRP3 pathway
Authors: Zhang Yiqiong , Li Shanshan , Fan Xiaojuan , Wu Yue 
Published: February 2024

Abstract
Background
Sepsis patients frequently develop septic cardiomyopathy. It is well known that sepsis-induced cardiomyopathy is closely related to excess inflammatory responses. Indole-3-propionic acid (IPA) is a tryptophan metabolite that has anti-inflammatory properties in many different diseases. In our research, we investigated IPA's underlying mechanisms and therapeutic role in septic cardiomyopathy.
Methods
To investigate IPA’s role in septic cardiomyopathy, a lipopolysaccharide (LPS)-induced rat model of septic cardiomyopathy was constructed, and rats were treated with IPA. Inflammatory factors and the NF-kB/NLRP3 pathway were evaluated in myocardial tissues and cells after the IPA treatment using RT-qPCR, ELISA, Western blot, and immunohistochemistry. To elucidate the role of the aryl hydrocarbon receptor (AhR), we detected the changes of inflammatory mediators and the NF-κB/NLRP3 pathway in cardiomyocytes treated by CH-223191 and FICZ.
Results
IPA supplementation improved cardiac dysfunction in septic cardiomyopathy rats. IPA reduced inflammatory cytokine release and inhibited NF-κB/NLRP3 signaling activity in myocardial tissue and in H9c2 cells. We found that CH-223191 blocked IPA's anti-inflammatory effect in LPS-treated cells, while FICZ exerted the same effect as IPA. We further found that IPA exhibited anti-inflammatory effects through binding to AhR. Our results indicated that IPA attenuated septic cardiomyopathy in rats via the AhR/NF-κB/NLRP3 signaling.
Conclusion
The study found that IPA improved left heart dysfunction and myocardial inflammation caused by sepsis via the AhR/NF-κB/NLRP3 signaling. This suggested that IPA could be a potential therapy for septic cardiomyopathy.
Adult-onset Wilm's Tumor: A Case Report
Authors: Egbe Flavius E. , Namuguzi Dan , Masaba Joseph , Babua Philip , Matumaini Hope Kibansha 
Published: February 2024

Abstract
Background
Wilm's tumor or nephroblastoma is the most common pediatric renal malignancy whose presentation in adulthood is rare and is often missed. This often results in late presentation and poorer prognosis than childhood variants.
Case presentation:
This is the case of an eighteen-year-old boy with no relevant birth or medical history who presented with a prolonged history of progressive painful left flank fullness, hematuria, low-grade fever, nausea/vomiting, and weight loss in whom examination also revealed hypertension and left varicocele. Abdominal ultrasound revealed a mixed echogenic left flank mass. Abdominal CT suggested a left renal malignant tumor with inferior vena cava thrombosis, para-aortic lymph node, and lung metastasis presumed to be renal cell carcinoma. Following radical left nephrectomy and histopathological examination, a final diagnosis of stage IV left blastemal-type Wilm's tumor was made. The patient was referred to start adjuvant chemotherapy and localized radiotherapy to the lung and left flank area.
Conclusion
This report aims to alert clinicians of the possibility of Wilm's tumor in adults with a flank mass. This should allow for early diagnosis and management of this disease variant.
Quality by Design Perspective for Designing Foam-based Formulation:
Current State of Art
Authors: Kumar Mohit , Kumar Devesh , Singh Shubham , Chopra Shruti , Mahmood Syed , Bhatia Amit 
Published: February 2024

Abstract:
Foam-based delivery systems contain one or more active ingredients and dispersed solid or liquid
components that transform into gaseous form when the valve is actuated. Foams are an attractive and effective
delivery approach for medical, cosmetic, and pharmaceutical uses. The foams-based delivery systems are gaining
attention due to ease of application as they allow direct application onto the affected area of skin without
using any applicator or finger, hence increasing the compliance and satisfaction of the patients. In order to develop
foam-based delivery systems with desired qualities, it is vital to understand which type of material and
process parameters impact the quality features of foams and which methodologies may be utilized to investigate
foams. For this purpose, Quality-by-Design (QbD) approach is used. It aids in achieving quality-based development
during the development process by employing the QbD concept. The critical material attributes (CMAs)
and critical process parameters (CPPs) were discovered through the first risk assessment to ensure the
requisite critical quality attributes (CQAs). During the initial risk assessment, the high-risk CQAs were identified,
which affect the foam characteristics. In this review, the authors discussed the various CMAs, CPPs,
CQAs, and risk factors associated in order to develop an ideal foam-based formulation with desired characteristics.
Teachers’ and students’ perception on using local-contents in English textbooks in EFL context
Authors: Alexon Alexon , Safnil Safnil , Syafryadin Syafryadin 
Published: February 2024

English textbook that contains local content can be considered more interesting and easier to understand and use by students and teachers. Therefore, this study aims to analyze teachers and students’ perception on using local-content English textbook for senior high school. This study employed mixed-method research by involving 37 seven certified English teachers who had 10 years or above experiences in teaching English in senior high schools in Bengkulu and 100 students. The instruments of this study were questionnaire and interview guideline. The quantitative data were analyzed by using descriptive statistics, while the qualitative data were analyzed by using eduction, displaying and conclusion. The result showed that teachers had positive perception on using Bengkulu local content English textbooks. It can be proved by looking at the majority of English teachers answered strongly agree and agree in the questionnaire. Another result indicated that students gave positive responses on local textbook which covers Bengkulu culture. It can be seen that most of students were happy to see the pictures or other things related to Bengkulu local culture in English textbook. In short, English textbook with local content is essential to be used for students and teachers because it would encourage students to learn English.
Methodological aspects of investment and construction projects management based on IPD, BIM, LEAN. Foreign experience
Authors: Kustov V. S. , Dmitriev A. G. 
Published: February 2024

Overexpenditure of cost and time resources is one of the most significant problems, and cost certainty is one of the key goals of the construction industry in Russia. Using the method of an analytical review of documents, the main problems of the European construction sector that exist in the process of its digital transformation were identified and characterized. Research has shown that the interdisciplinary synergy of BIM (Building Information Model, digital information model), Lean (lean manufacturing) and IPD (Integrated Project Delivery, integrated project execution) can benefit an investment and construction project (ICP) throughout its entire life cycle . However, such a synergetic approach is not currently applied in Russian projects. The article examines the impact of innovative international strategies for implementing COI and examines the obstacles to the implementation of these strategies in Russia.3 key takeaways:1) review of COI contracts to achieve the greatest synergy and increase trust between stakeholders;2) the BIM mandate is important to encourage the use of modern construction methodology in all ISPs in Russia;3) search for innovative methods of changing traditional thinking about construction.Consideration of three main ideas will accelerate the implementation of COI in Russia, leading to better results in the short, medium and long term for all stakeholders.
Artificial Intelligence, Big Data, and Regulation of Immunity: Challenges and Opportunities
Authors: Singh Bhagirath , Jevnikar Anthony M. , Desjardins Eric 
Published: February 2024

Abstract
The immune system is regulated by a complex set of genetic, molecular, and cellular interactions. Rapid advances in the study of immunity and its network of interactions have been boosted by a spectrum of “omics” technologies that have generated huge amounts of data that have reached the status of big data (BD). With recent developments in artificial intelligence (AI), theoretical and clinical breakthroughs could emerge. Analyses of large data sets with AI tools will allow the formulation of new testable hypotheses open new research avenues and provide innovative strategies for regulating immunity and treating immunological diseases. This includes diagnosis and identification of rare diseases, prevention and treatment of autoimmune diseases, allergic disorders, infectious diseases, metabolomic disorders, cancer, and organ transplantation. However, ethical and regulatory challenges remain as to how these studies will be used to advance our understanding of basic immunology and how immunity might be regulated in health and disease. This will be particularly important for entities in which the complexity of interactions occurring at the same time and multiple cellular pathways have eluded conventional approaches to understanding and treatment. The analyses of BD by AI are likely to be complicated as both positive and negative outcomes of regulating immunity may have important ethical ramifications that need to be considered. We suggest there is an immediate need to develop guidelines as to how the analyses of immunological BD by AI tools should guide immune-based interventions to treat various diseases, prevent infections, and maintain health within an ethical framework.
Innovative Development of Civic and Political Education in Higher Vocational Colleges and Universities in the Context of Multiculturalism
Authors: Li Dan 
Published: February 2024

Abstract
Multicultural integration brings opportunities and challenges to the field of education, and the innovation of Civics education in higher vocational colleges and universities becomes increasingly essential. In this paper, the reinforcement learning algorithm is used to construct a Civics teaching mode with precise teaching intervention, which quantifies students’ learning ability and learning status by combining the Civics learning ability level parameter. The difficulty coefficient of Civics exercises determines the students’ mastery of Civics content. Based on the students’ Civics learning ability and learning status, a precise teaching intervention strategy was formulated, and the teaching intervention was used in practice to explore the effectiveness of the accurate intervention Civics teaching model in terms of the change of students’ ability and performance. The results show that under the Precision Intervention Civics Teaching Model, students with low collaborative learning and high problem-solving ability changed from unidirectional PR→RS to bidirectional PA↔PR, indicating that the Precision Intervention Teaching Model can improve students’ learning ability. The passing rate of students under this model were maintained at 70%, the average score was above 70, and the students’ performance in Civics was significantly improved compared with the traditional teaching model.
Exploration of Informatization Teaching Mode of College Students’ Psychological Education Courses under Cognitive Behavioral Theory
Authors: Li Juanwei , Zhang Yingbo , Xu Yonghong 
Published: February 2024

Abstract
This paper discusses the informatization teaching mode of college students’ psychoeducation courses under the cognitive-behavioral theory, highlighting the importance of informatization in education and the changes in psychoeducation courses in the past 30 years. Effective identification of college students’ psychological characteristics, especially in the early identification and intervention of psychological crisis, was realized through graph neural networks and attention mechanisms. The study involved extensive data analysis, including the psychological identification of 189,134 images of students’ study screens and the analysis of the psychological characteristics of study screens from multiple dimensions. In addition, the study designed a psychoeducational management system based on graph convolutional neural networks, which can recognize students’ psychological states and provide real-time feedback. The analysis of college students’ psychological emotions in the COVID-19 epidemic revealed the association between students’ stress reactions and the development of the epidemic and the virus mutation rate, which emphasized the necessity of the innovative “Internet+” psychoeducational model. Overall, this study provides theoretical and practical support for improving the effectiveness of psychoeducation, and demonstrates the potential application of information technology in psychoeducation.
Research on teaching reform and practice of architectural design courses in colleges and universities based on big data analysis
Authors: Lv Dihua 
Published: February 2024

Abstract
In this paper, we carry out an innovative reform of architectural design professional courses in colleges and universities, focusing on improving the effect of practical teaching by combining knowledge maps and new technological means. Aiming at the problems of long practice cycle, high cost and difficulty verifying the effect in traditional teaching, it promotes the transformation of teaching mode to immersion, interaction and autonomy. The article discusses the application of knowledge maps in optimizing the course content, improving the effect of teaching organization, such as the association model of knowledge elements and learning resources, and calculating the ontological conceptual similarity of knowledge nodes. Meanwhile, the introduction of augmented reality technology and the Analysis of the correlation between learning styles and academic performance highlight the critical role of technology in enhancing the efficiency and quality of learning. The difference in average grades before and after the teaching reform in the experimental class was significant, with the most enormous difference of 10.76 points in the second round of test results. The most significant improvement was observed in the knowledge part of the course, with an increase of 0.72, and in the practical part, with an increase of 0.39. The students’ architectural design and practice skills were significantly improved in all dimensions. The teaching reform program proposed in this paper effectively enhances the architectural design program’s teaching quality and students’ practical ability.
SPOC Flipped Classroom Blended Teaching Reform Practices in the Context of Digital Transformation
Authors: Peng Peilan , Wang Juan 
Published: February 2024

Abstract
The article establishes a blended teaching model of SPOC flipped classroom in colleges and universities, and uses probability matrix decomposition and time effect techniques to personalize the recommendation of combined learning resources. Taking the English teaching course in University A of City D as a case study, the study investigated the effects of the teaching model on students’ essential quality, basic skills, learning attitude and satisfaction. The study results showed that in the experimental class, the average score of students in the self-introduction expression program was 16.46 points higher than that of the control group. In addition, the emotional experience improved the most before and after the experiment, and the improvement in the experimental class amounted to 36.41 percentage points. Meanwhile, over 80% of the students expressed great satisfaction with this teaching mode. The study shows that relying on the SPOC flipped classroom blended teaching mode not only enhances the attractiveness of the course to students, but also significantly improves students’ learning effectiveness and satisfaction.
The Value and Use of Chinese Traditional Music in Dance Performance in the Internet Era
Authors: Jiao Pengcheng 
Published: February 2024

Abstract
In this study, Gaussian mixture model preprocessing and histogram of orientation gradient (HOG) and histogram of optical flow direction (HOF) action feature extraction techniques are used to significantly optimize the accuracy of dance performance action recognition. In addition, the VNect pose estimation algorithm and dual-stream 3D-CNN-based skeleton action recognition are used to improve significantly the accuracy and efficiency of recognition. In terms of music feature recognition, this study utilizes short-time time domain and frequency domain analysis techniques and BP neural networks to effectively achieve accurate recognition and sentiment classification of music features. Analyzing a dataset containing 6000 training videos, 800 validation videos, and 1200 test videos, the study reveals that musical elements, melody, rhythm, emotional tone, and song style significantly impact the stage performance effect. The study not only highlights the importance of traditional Chinese music in dance performance to enhance the artistic effect and deepen the emotional expression, but also opens up new perspectives and methods for disseminating and developing traditional culture.
Informatization Innovation Practice of Labor Education in Colleges and Universities in the New Era
Authors: Shao Zhuping 
Published: February 2024

Abstract
This paper discusses the informationization innovation practice of labor education in colleges and universities in the new era, focusing on the Analysis of labor education test question correlation mining and learning situation clustering. It is found that students make more mistakes in the knowledge point of “ideological cognition”, and if they make mistakes in this knowledge point, they are also prone to make mistakes in other knowledge points. The academic clusters were categorized into excellent learners, average learners and risky learners, in which the average classroom participation score of exceptional learners was 10.26, and the average classroom quiz score of intermediate learners was 16.99. Correlation analysis shows that the correlation between attendance and assignment score is 0.73, the correlation between video viewing length and number of labors is 0.66, and the correlation between classroom activeness and quiz scores is 0.49. These data emphasize the critical role of information technology teaching in enhancing the learning effect, and reveal the problem of insufficient self-learning ability of some students.