bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Use of Generative AI for Scientific Literature Searches for Systematic Reviews: ChatGPT and Microsoft Bing AI Performance Evaluation
Authors: Gwon Yong Nam , Kim Jae Heon , Chung Hyun Soo , Jung Eun Jee , Chun Joey , Lee Serin , Shim Sung Ryul 
Published: May 2024

Abstract

Background
A large language model is a type of artificial intelligence (AI) model that opens up great possibilities for health care practice, research, and education, although scholars have emphasized the need to proactively address the issue of unvalidated and inaccurate information regarding its use. One of the best-known large language models is ChatGPT (OpenAI). It is believed to be of great help to medical research, as it facilitates more efficient data set analysis, code generation, and literature review, allowing researchers to focus on experimental design as well as drug discovery and development.

Objective
This study aims to explore the potential of ChatGPT as a real-time literature search tool for systematic reviews and clinical decision support systems, to enhance their efficiency and accuracy in health care settings.

Methods
The search results of a published systematic review by human experts on the treatment of Peyronie disease were selected as a benchmark, and the literature search formula of the study was applied to ChatGPT and Microsoft Bing AI as a comparison to human researchers. Peyronie disease typically presents with discomfort, curvature, or deformity of the penis in association with palpable plaques and erectile dysfunction. To evaluate the quality of individual studies derived from AI answers, we created a structured rating system based on bibliographic information related to the publications. We classified its answers into 4 grades if the title existed: A, B, C, and F. No grade was given for a fake title or no answer.

Results
From ChatGPT, 7 (0.5%) out of 1287 identified studies were directly relevant, whereas Bing AI resulted in 19 (40%) relevant studies out of 48, compared to the human benchmark of 24 studies. In the qualitative evaluation, ChatGPT had 7 grade A, 18 grade B, 167 grade C, and 211 grade F studies, and Bing AI had 19 grade A and 28 grade C studies.

Conclusions
This is the first study to compare AI and conventional human systematic review methods as a real-time literature collection tool for evidence-based medicine. The results suggest that the use of ChatGPT as a tool for real-time evidence generation is not yet accurate and feasible. Therefore, researchers should be cautious about using such AI. The limitations of this study using the generative pre-trained transformer model are that the search for research topics was not diverse and that it did not prevent the hallucination of generative AI. However, this study will serve as a standard for future studies by providing an index to verify the reliability and consistency of generative AI from a user’s point of view. If the reliability and consistency of AI literature search services are verified, then the use of these technologies will help medical research greatly.
Data-Driven Fundraising: Strategic Plan for Medical Education
Authors: Jalali Alireza , Nyman Jacline , Loeffelholz Ouida , Courtney Chantelle 
Published: May 2024

Abstract
Higher education institutions, including medical schools, increasingly rely on fundraising to bridge funding gaps and support their missions. This paper presents a viewpoint on data-driven strategies in fundraising, outlining a 4-step approach for effective planning while considering ethical implications. It outlines a 4-step approach to creating an effective, end-to-end, data-driven fundraising plan, emphasizing the crucial stages of data collection, data analysis, goal establishment, and targeted strategy formulation. By leveraging internal and external data, schools can create tailored outreach initiatives that resonate with potential donors. However, the fundraising process must be grounded in ethical considerations. Ethical challenges, particularly in fundraising with grateful medical patients, necessitate transparent and honest practices prioritizing donors’ and beneficiaries’ rights and safeguarding public trust. This paper presents a viewpoint on the critical role of data-driven strategies in fundraising for medical education. It emphasizes integrating comprehensive data analysis with ethical considerations to enhance fundraising efforts in medical schools. By integrating data analytics with fundraising best practices and ensuring ethical practice, medical institutions can ensure financial support and foster enduring, trust-based relationships with their donor communities.
Preliminary Validity and Acceptability of Motion Tape for Measuring Low Back Movement: Mixed Methods Study
Authors: Lee Audrey , Wyckoff Elijah , Farcas Emilia , Godino Job , Patrick Kevin , Spiegel Spencer , Yu Rose , Kumar Arun , Loh Kenneth J , Gombatto Sara 
Published: May 2024

Background
Low back pain (LBP) is a significant public health problem that can result in physical disability and financial burden for the individual and society. Physical therapy is effective for managing LBP and includes evaluation of posture and movement, interventions directed at modifying posture and movement, and prescription of exercises. However, physical therapists have limited tools for objective evaluation of low back posture and movement and monitoring of exercises, and this evaluation is limited to the time frame of a clinical encounter. There is a need for a valid tool that can be used to evaluate low back posture and movement and monitor exercises outside the clinic. To address this need, a fabric-based, wearable sensor, Motion Tape (MT), was developed and adapted for a low back use case. MT is a low-profile, disposable, self-adhesive, skin-strain sensor developed by spray coating piezoresistive graphene nanocomposites directly onto commercial kinesiology tape.

Objective
The objectives of this study were to (1) validate MT for measuring low back posture and movement and (2) assess the acceptability of MT for users.

Methods
A total of 10 participants without LBP were tested. A 3D optical motion capture system was used as a reference standard to measure low back kinematics. Retroreflective markers and a matrix of MTs were placed on the low back to measure kinematics (motion capture) and strain (MT) simultaneously during low back movements in the sagittal, frontal, and axial planes. Cross-correlation coefficients were calculated to evaluate the concurrent validity of MT strain in reference motion capture kinematics during each movement. The acceptability of MT was assessed using semistructured interviews conducted with each participant after laboratory testing. Interview data were analyzed using rapid qualitative analysis to identify themes and subthemes of user acceptability.

Results
Visual inspection of concurrent MT strain and kinematics of the low back indicated that MT can distinguish between different movement directions. Cross-correlation coefficients between MT strain and motion capture kinematics ranged from –0.915 to 0.983, and the strength of the correlations varied across MT placements and low back movement directions. Regarding user acceptability, participants expressed enthusiasm toward MT and believed that it would be helpful for remote interventions for LBP but provided suggestions for improvement.

Conclusions
MT was able to distinguish between different low back movements, and most MTs demonstrated moderate to high correlation with motion capture kinematics. This preliminary laboratory validation of MT provides a basis for future device improvements, which will also involve testing in a free-living environment. Overall, users found MT acceptable for use in physical therapy for managing LBP.
Porto Maravilha e sua nova centralidade: as contribuições do mobiliário urbano e da arte pública para a ressignificação da área | Porto Maravilha and its new core significance: contributionsof urban furniture and public rte to the resignification of the area
Authors: Colchete Filho Antonio Ferreira , Costa Lucia Sá Antunes , Giese Juliana Varejão , Jesus Karine Dias de , Costa Fernando Araújo 
Published: May 2024

Desde os Jogos Olímpicos de 2016, a zona portuária do Rio de Janeiro (Brasil) assumiu o papel de uma nova centralidade na dinâmica urbana da cidade, ressaltada pelo uso turístico promovido pelo projeto de requalificação urbana pelo qual a região passou. O objetivo deste artigo é analisar o papel que a arte pública e o mobiliário urbano exerceram nas transformações realizadas nos espaços públicos contemplados pelo Projeto Porto Maravilha através de revisão de literatura, análise de documentos oficiais do projeto e visitas a campo. Verificou-se que a intervençãourbana se pautou em novas conexões de pedestres estabelecidas por entre o passeio público reformado, novos marcos arquitetônicos e nova rede de infraestruturaque, em conjunto, criaram conexões físicas e simbólicas do indivíduo com o espaço urbano, promovendo a (re)construção da identidade da região e, portanto, seu poder de centralidade.
The Research Lineage and Knowledge Distillation of the Whole Process “Immersion” Curriculum Civic Teaching
Authors: Mao Yanhui 
Published: May 2024

Abstract
This research investigates the application of immersive teaching in Civics, enhanced by knowledge distillation techniques. We employed feature distillation and sample-balanced distillation algorithms to refine both the teacher and student networks, ensuring effective content delivery and deeper knowledge acquisition. Experimental results demonstrate that the student networks, optimized with distillation and identification loss, significantly outperform their unoptimized counterparts in feature retention. Furthermore, the integration of IDA data enhancement and kvDKD decoupled knowledge distillation methods substantially boosts the model’s efficiency and accuracy. Our teaching experiments revealed heightened student engagement and learning outcomes in Civics, with all students covering 8 of 12 topics and an average of 27 students scoring above 95 per topic. A comparative analysis with a control group confirms the efficacy of immersive teaching approaches in improving student performance and the quality of Civics education.
Research on Ecological Innovation and Modern Informatization Inheritance Path of Tantou Woodblock Printing
Authors: Peng Bo 
Published: May 2024

Abstract
Tantou woodblock prints are traditional Chinese woodblock prints with a long history. Adding modern information technology elements to the excellent traditional culture can better combine regional contemporary woodblock prints and realize the cultural heritage. In this paper, from the perspective of modern informatization inheritance, we propose a way of displaying Tantou woodblock prints with AR enhancement technology, which breaks the limitation of physical experience with the help of virtual technology and improves the immersive experience of Tantou woodblock prints by combining with visual SLAM spatial localization technology. Based on the KANO model, the inheritance effect of Tantou woodblock prints was empirically analyzed. The data of Q, A, I, R, M, and O of the satisfaction results of the experience effect of Tantou woodblock prints were 1.132, 3.034, 2.828, 1.422, 1.237, and 0.978, which belonged to the excitatory type of demand. The inheritance satisfaction could be improved by enhancing the natural experience effect. The percentage of experiencers’ satisfaction with the information acquisition rate of Tantou Wooden Plank New Year’s Paintings that reaches excellent and above is 82.35%, and this paper effectively captures the user’s experience point in the visual, which contributes to the inheritance of Tantou Wooden Plank New Year’s Paintings.
Characterization of College Students’ Consumption Behavior for Ideological and Political Education - Based on ADDIE Model
Authors: Wang Rurong 
Published: May 2024

Abstract
As a specific social group, the consumption behavior of college students not only reflects their economic ability but also contains deep-seated values and attitudes toward life. With the development of the social economy and the change in consumption concepts, the consumption patterns and psychology of college students have diversified. This paper deeply analyzes the characteristics of college students’ consumption behavior and the value of their ideological and political education. It also adopts the ADDIE model to systematically study college students’ consumption behavior. The improved K-means clustering algorithm allows us to classify the consumption behavior of 29,635 students and analyze their changing trends by collecting consumption data. The average monthly consumption of most students is approximately 800 to 1000 yuan, and the frequency of consumption is mainly 60-75 times per month. Students with different consumption levels have different needs and responses when it comes to ideological and political education. The paper proposes targeted strategies for ideological and political education to guide students in establishing correct consumption concepts and cultivating rational consumption behavior. The study effectively enhances the research on college students’ consumption behavior and the practical effect of ideological and political education through the application of the ADDIE model, providing support for the overall development of college students.
Research on the application of water measuring technology in water-saving irrigation
Authors: Yu Jia 
Published: May 2024

Abstract
The rise of agricultural Internet of Things (IoT) technologies is transforming traditional farming into modern, sustainable agriculture through scientific advancements. This study introduces a novel fusion calibration algorithm that combines the least squares method and back propagation neural networks to enhance water measurement accuracy in agricultural settings. By developing a nonlinear function, the algorithm progressively minimizes the discrepancies between detected results and actual data until satisfactory accuracy is achieved. An irrigation experiment on wolfberry plants in City H utilizing this optimized technology demonstrated a near-perfect correlation between the automatic measurements (3.56 m/s) and the actual flow rates (3.55 m/s) recorded by a flow meter, with an error margin of just 0.282%. Furthermore, the study observed a steady increase in the water utilization coefficient in farmland irrigation from 0.54 in 2011 to 0.589 in 2020, indicating enhanced water efficiency and conservation.
An Active Damping Method With Improved Capacitor Current Feedback
Authors: Ma Youjie , Hao Zeyu , Zhou Xuesong 
Published: May 2024

Abstract
Capacitor-Current Feedback Active Damping (CCFAD) is widely employed in LCL grid-tied inverters. However, the delay introduced by digital control can alter the traditional active damping characteristics, with the equivalent virtual resistance having a positive/negative crossover frequency of f
s/6. The LCL filter’s resonant frequency may change due to the extensive variation in grid impedance under weak grid conditions. When the resonant frequency of the LCL filter exceeds f
s/6, the stability of the system is severely compromised. A better approach is to add a lead compensation element to the current feedback branch of traditional CCFAD in response to these issues. This compensates for the phase lag caused by control delay, effectively extending the active damping region to (0, f
R), f
R ∈ (f
s/3, f
s/2), thereby enhancing system stability and robustness. The proposed method’s effectiveness has been confirmed by theoretical analysis and simulation on the MATLAB/Simulink platform, which utilizes a single-phase LCL grid-tied inverter model.
Industry-Academia Collaboration in the Field of Functional Nucleic Acids: An Analysis Based on Papers and Patents
Authors: Lu Changyun , Zhu Longjiao , Su Yuan , Xu Wentao , He Xiaoyun , Cao Yuan 
Published: May 2024

Abstract
This investigation delves into the evolving patterns and regional variances in industry-academia collaboration (IAC) within Functional Nucleic Acids (FNAs) research. Analyzing publications and patents from 1990 to 2021, we dissected IAC at individual and collective levels, documenting the count and share of IAC endeavors, key partners, and regional differences. Results indicate a rising trend in IAC publications and collaborating institutions, while patent trends display a mix of increases, decreases, and steady states. The United States leads in IAC activities, correlating with its prowess in scientific research and technological innovation. Notably, regional discrepancies in IAC are mainly due to intra-regional variations, with Asia and Europe experiencing the most pronounced disparities.
Research on the Technique of Determining the Internal Structure of Ancient Stone Pagodas Based on the Discriminant Features of Ground Penetrating Radar
Authors: Zhang Yumiao , Xu Bo , Qian Chen , Wang Jintao , Yang Yulong 
Published: May 2024

Abstract
Obtaining detailed information about the design and construction of ancient stone pagodas is challenging due to their significant age. Due to this, the internal structure is still unknown, and the analysis of their structural safety lacks a solid foundation. The purpose of this paper is to research ancient stone pagodas and propose adequate methods for identifying their internal structure and assessing their damage status using ground-penetrating radar nondestructive detection technology. The internal structure of the pagoda is inferred through a comprehensive process of layer-by-layer scanning using shielded antennas of varying frequencies, incorporating distance correction. The results demonstrate that by selecting suitable radar antenna frequencies, both test profiles become visible, and the position and characteristics of the internal substantial reflection area exhibit a high degree of consistency, mutually reinforcing each other. The White Pagoda in Hangzhou is believed to have both a mortise and tenon joint structure and a column structure. The ground penetrating radar detection method proves to be effective and has valuable applications.
A Study of IKH Algorithm for Civic Education Strategies of Graduate Medical Students in Information Age
Authors: Xin Lin , He Ruhua , Chen Mengge , Xu Ming , Hao Hongliang 
Published: May 2024

Abstract
In this paper, we use the krill swarm optimization algorithm to optimize the optimization-seeking ability of the projection-seeking analysis model and construct the IKH-PP model. Evaluation indexes of ideological and political education strategies are built from seven dimensions, such as moral quality and political performance, and the index values are standardized using the extreme value normalization method. Create and enhance the projection indicator function, sort based on the projection value size, and determine the advantages and disadvantages of various samples. Taking psychology as the perspective, efforts were made to explore a collaborative educational path for psychological counseling and ideological education for medical students using the psychological perspective. The results showed that 50% of the 600 medical students at University Z chose “realization of ideal pursuit,” and they were generally more positive and progressive. However, only 48 of them expressed that they were very concerned about current affairs and that their political awareness still needed to be improved. Before and after the collaborative psychological counseling and political education interventions, there were statistically significant differences between Group I and Group II in the G3/F3 dimension (P=0.047, 0.008) and the G11/F11 dimension (P=0.022, 0.034), which were statistically significant or not. There were statistically significant differences in the overall access to Civics and all dimensions of Civics among medical students of different genders (P<0.05), grades (P<0.001), and political profiles (P<0.05) students.
Exploring the Development Path of Collaborative Education between College Civics Courses and Daily Civics Education Combined with the Theory of Three-Whole Parenting
Authors: Shi Aixin , Ma Xiaoyan 
Published: May 2024

Abstract
As times evolve, ideological and political education in higher education has emerged as a central focus of reforms in this field, marking the synergistic development of these programs as an inevitable trend. This paper addresses the reform requirements of ideological and political education in the contemporary era. It proposes a development path for integrating Civic and Political Programs with ideological and political education in higher education institutions, based on the ‘three-whole-parenting’ theory. Additionally, we construct a comprehensive evaluation system using fuzzy comprehensive evaluation methods to assess the effectiveness of this integrative approach. The systems designed achieved an average response time below 1800ms, indicating strong performance. Student satisfaction with the synergistic path ranges from 4 to 5 points, with an average attitude score of 3.04 and a comprehensive evaluation score for quality of 4.53. This paper demonstrates that the development path for college Civics courses, based on the three-whole-person parenting theory, is effective, ensuring scientifically planned and comprehensively implemented synergistic education.
Feature Identification and Pedagogical Innovation of English Speaking Teaching in Colleges and Universities Based on Deep Coding Attention
Authors: Chen Weimiao 
Published: May 2024

Abstract
At present, most students in colleges and universities still have different degrees of difficulty in English oral expression. This study tries to apply deep coding attention to the teaching of spoken English in colleges and universities, taking into account the characteristics of tight time, long cycles, and challenging training in spoken English teaching. By proposing the CIASC-BiLSTM model that integrates the deep coding attention mechanism using a cross-fertilization layer, the attention mechanisms of intention recognition and semantic slot filling introduce explicit associative supplementary information to each other. The ASPAN dual attention mechanism model is employed to learn adversarial training from two public benchmark corpora. To verify the effectiveness of the innovative teaching model of spoken English in colleges and universities based on deep encoding attention, this paper explores the changes in students’ spoken English proficiency through teaching experiments. The results show that the significant difference value between the experimental class and the control class in the posttest of speaking performance is 0.026<0.05, and the experimental class has a substantial improvement over the control class. The results of the pre and post-test t-tests of speaking ability in each dimension of the experimental class are less than 0.05, and the innovative teaching of speaking based on deep coding attention has achieved good results.