bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimal Dose and Type of Physical Activity to Improve Glycemic Control in People Diagnosed With Type 2 Diabetes: A Systematic Review and Meta-analysis
Authors: Gallardo-Gómez Daniel , Salazar-Martínez Eduardo , Alfonso-Rosa Rosa M. , Ramos-Munell Javier , del Pozo-Cruz Jesús , del Pozo Cruz Borja , Álvarez-Barbosa Francisco 
Published: January 2024

BACKGROUND
The optimal dose or type of physical activity to control glycosylated hemoglobin (HbA1c) in people with diabetes remains unknown. Current guidelines do not include consideration of baseline HbA1c for activity prescription.

PURPOSE
To examine the dose-response relationship between physical activity and HbA1c (%) in individuals with type 2 diabetes.

DATA SOURCES
A systematic search was performed in Embase, MEDLINE, Scopus, CINAHL, SPORTDiscus, and Web of Science.

STUDY SELECTION
We included trials that involved participants diagnosed with type 2 diabetes that included any type of physical activity as intervention.

DATA EXTRACTION
Pre- and postintervention HbA1c data, population and interventions characteristics, and descriptive statistics were collected to calculate change scores for each study arm.

DATA SYNTHESIS
We used Bayesian random-effects meta-analyses to summarize high-quality evidence from 126 studies (6,718 participants). The optimal physical activity dose was 1,100 MET min/week, resulting in HbA1c reductions, ranging from −1.02% to −0.66% in severe uncontrolled diabetes, from −0.64% to −0.49% in uncontrolled diabetes, from −0.47% to −0.40% in controlled diabetes, and from −0.38% to −0.24% in prediabetes.

LIMITATIONS
The time required to achieve these HbA1c reductions could not be estimated due to the heterogeneity between interventions’ duration and protocols and the interpersonal variability of this outcome.

CONCLUSIONS
The result of this meta-analysis provide key information about the optimal weekly dose of physical activity for people with diabetes with consideration of baseline HbA1c level, and the effectiveness of different types of active interventions. These results enable clinicians to prescribe tailored physical activity programs for this population.
Islamic Elementary School Teachers’ Uncertainty on Distance Learning
Authors: Dewi Nanda Rachma Kusuma , Palupi Palupi 
Published: January 2024

Various obstacles were encountered by teachers during distance learning when covid-19 pandemi hit. Online teaching has become tough challenge for the forest edge villages’ school teachers in Madiun regency, Indonesia. Online teaching obstacles were also felt by the first-grade teachers at Madrasah Ibtidaiyyah Plus Al-Makmun (MI Plus Al-Makmun) which caused uncertainty. This study aims to examine the types of the teachers’ uncertainty and their uncertainty reduction strategies using uncertainty reduction theory. Descriptive qualitative method was used in this study and in-depth interview was conducted to gather data. The results of this study indicate that there are two types of uncertainty felt by the informants, the first is cognitive which is related to difficulties in understanding their students’ character and their insecurity about students’ understanding of school lessons, and the second is behavioral uncertainty which is related to how students respond and behave in learning process. Meanwhile, the teachers’ uncertainty reduction strategy are (1) passive strategies through secret observation, (2) active strategies by seeking information through parents and fellow teachers, and (3) interactive strategies by communicating directly with students
The effect of the pseudostem extract of ambon banana on the number of lymphocytes and fibroblasts in gingivitis : an experimental study
Authors: Andriani Ika , Medawati Ana , Lestra Citra , Salsabila Millati , Khairunnisa Putri Nabilla 
Published: January 2024

ABSTRACTIntroduction: Gingivitis is an inflammation of the soft tissue that supports the teeth. Chemical treatment in the form of mouthwash, such as chlorhexidine, is often recommended. However, long-term use of chlorhexidine mouthwash will cause side effects, such as allergies, irritation of the oral cavity, and discoloration of the oral mucosa and teeth. Therefore, natural alternative materials containing flavonoids, saponins, and tannins that can cure gingivitis are needed. These ingredients are found in the pseudo stem of the Ambon banana. This research aims to analyze the effect of applying the pseudostem extract of Ambon banana on the number of lymphocytes and fibroblasts in treating gingivitis. Methods: This study was an in vivo laboratory experimental study with a post-test control group. The study used 45 Sprague Dawley rats which were divided into 3 groups, namely the positive control group (chlorhexidine gel), negative control (gel base), and treatment (Ambon Banana pseudostem extract gel). The gingiva on the mandibular incisor of the rat was ligated, then the gel was applied to the gingiva. Decapitation of rats was carried out on days 1, 3, 5, 7, and 9, and then made histological preparations with HE. Staining and observations were later made. Data analyzed using Kruskal-Wallis test. Results: The results showed that Ambon banana false stem extract gel reduced the number of lymphocyte cells with a significant difference of p=0.016 (p<0.05) and increased fibroblasts at p=0.85 (p>0.05). Conclusion: The pseudostem extract gel of Ambon banana reduced the number of lymphocyte cells and increased fibroblasts in gingivitis treatment.Keywords: fibroblasts, gingivitis, lymphocytes, pseudostem of ambon banana
Comparison of distribution and frequency of impacted teeth before and during COVID-19 pandemic in dental hospital: a descriptive study
Authors: Syafin Haura , Reksoprodjo Muhammad Ramaditto , Julia Vera , Heriasti Maudina Dwi , Ariawan Dwi , Sulistyani Lilies Dwi , Utomo Yudy Ardilla , Ratman Muhammad Farid 
Published: January 2024

ABSTRACTIntroduction: The occurrence of the COVID-19 pandemic may affect the prevalence of patients with complaints of impacted teeth in dental hospital Faculty of Dentistry University of Indonesia (FKG UI), and there is no recent research on the distribution and frequency of impacted teeth based on age, gender, and teeth type in this hospital during the COVID-19 pandemic. This study aims to determine the distribution and frequency of impacted teeth during the COVID-19 pandemic in dental hospitals. Methods: A descriptive study uses the secondary data on impacted teeth patient's medical records. Utilizing purposive sampling, we selected participants for the research by carefully examining medical records to identify individuals that had undergone impacted tooth removal. The study used secondary data from the medical records of oral surgery patients at dental hospital FKG UI from June 2019 to June 2021, including complete patient identity, clinical diagnosis, and panoramic radiograph of the impacted teeth in June 2019 to June 2021. Diagnosis was determined through screening of medical records and panoramic radiographs. Data were analyzed using the statistical analysis software (SPSS version 21, IBM Corp.) Results: From 3,225 medical records of oral surgery patients at dental hospital FKG UI before and during COVID-19 pandemic, A total of 1292 patients were included in the study and 1496 impacted teeth cases were found. The frequency of impacted teeth cases before the pandemic was 825 (55.1%) cases; there were 671 (44.9%) cases during the pandemic. Conclusion: COVID-19 has caused a decrease in the distribution and frequency of impacted teeth cases, mostly in the middle aged patients, while more female as compared to male. The most common occurrence was in the third molars and the lowest was in the second molar tooth. Keyword : tooth, impacted, COVID-19, retrospective studies, wisdom tooth
Mycobacterium Abscessus – Diagnostic and Therapeutic Frontiers in Infection Management
Authors: Masiarova Simona , Dohal Matus , Porvaznik Igor , Solovic Ivan , Mokry Juraj 
Published: January 2024

Abstract

Mycobacterium (M.) abscessus, a highly pathogenic non-tuberculous mycobacterium, is responsible for several clinical manifestations. A very frequent occurrence is proven in patient with various lung diseases. Furthermore, it can result in complications such as skin and soft tissue diseases, central nervous system infections, bacteremia, eye infections, and others. M. abscessus is a clinical contraindication in cystic fibrosis patients awaiting a lung transplant, as it can exacerbate disease progression. Its pathogenicity and the emergence of resistance are influenced by factors including the composition of the cell envelope, rough and smooth M. abscessus morphotypes, efflux pumps, antibiotic-modifying/inactivating enzymes, and genetic polymorphisms in target genes. Management of the infection requires multicomponent therapy due to the high level of resistance. The following antibiotics are recommended according to the guidelines from the year 2017: amikacin, tigecycline, and imipenem with a macrolide. In order to properly manage patients with M. abscessus infection, correct identification of the subspecies as well as determination of resistance is essential. To achieve this goal, molecular-genetic techniques, such as whole-genome sequencing, are becoming increasingly favored in modern clinical practice. In this review, we provide up-to-date information on the issue of infections caused by non-tuberculous M. abscessus. We focus on its characteristics, possible infectious diseases, cystic fibrosis, and resistance, as well as the benefits of whole-genome sequencing.
Iron Citrate (Synthesit) Supplementation During Pancreas Cancer Showed Surprising Results – Case Study
Authors: Kusnir Patrik 
Published: January 2024

Abstract
Iron is a crucial mineral for our organism and its deficiency can cause serious health problems such as anaemia, fatigue, and impaired physical fitness. It has been shown that anaemia or iron deficiency is very common in patients with cancer. These patients benefit from iron supplementation either in intravenous or oral form. Our patient is a 67-year-old Russian woman with pancreatic cancer diagnosed in 2019. She fought off lymphocytic leukaemia in 2015. She refused treatment for her pancreatic cancer. The specific type of pancreatic cancer was not specified as the patient chose not to undergo targeted testing. Between March 2020 and February 2023, she took the dietary supplement Synthesit for three cycles (1 cycle lasted about a month).
After taking the dietary supplement, a total percentage of neutrophils became in the reference range. Subjectively, the patient started to feel better after taking Synthesit and her quality of life and well-being has improved as well. It might be supposed that the dietary supplement could have some effect on her well-being and various blood parameters such as white cells count.
Even though the dietary supplement is not supposed to be used for treatment of diseases, it can change some blood parameters and improve the immune system.
This short case study presents the patient with pancreatic cancer who started to take the dietary supplement Synthesit which contains iron in the form of citrate salt in a dosage of 800 μg per capsule, 1 capsule per day. The dietary supplement was administered over three treatment cycles (1 cycle took about a month) from March 2020 to February 2023. It describes a difference in blood test results before taking Synthesit and after the administration of Synthesit.
Multiple Chord Coding in China’s Minority Dance Music
Authors: Wu Xiaowen , Shang Ke 
Published: January 2024

Abstract
In this paper, we first use CNNS to collect rich samples of folk dance music, establish a model framework and a functional system framework, and conduct a comprehensive process analysis of the music. Then, the instrumental features, frequency features, and timbre features are extracted to obtain the spectral information. In the stage of chord analysis and encoding, a multivariate chord encoding model is established based on the acquired spectral information, including two parts: chord representation preprocessing and chord encoding. By utilizing this model, the chord structure of music was successfully and accurately encoded, allowing for analysis with up to 98% accuracy. Furthermore, significant recall results were achieved, reaching over 0.9, which suggests that the extracted chord features are highly reliable and accurate in recognizing musical chord information.
Exploration of Labor Education into Ideological and Political Education Based on the VAR Model
Authors: Cheng Chun 
Published: January 2024

Abstract
This paper is based on the VAR model, a regression analysis of the correlation between labor education and ideological and political education. Firstly, the LDA algorithm is used to speculate about the document to obtain the probability distribution of the subject, and this is used as the current subject feature. Then use the gray correlation algorithm to measure the distribution characteristics of each different indicator from the object dimension, and measure the correlation size and positive and negative by extracting the relative difference between indicators. Finally, the TF-IDF algorithm is used to determine the word weights, and text clustering is invoked to merge texts with the same theme. After the teaching of the VAR model, the significance of the learning motivation of the students in the experimental group is 0.009, the passing rate of the final grades is around 76%, and the significance of the dimensions of the learning effect is less than 0.05. It shows that the integration of labor education with ideological and political education can lead students to strengthen their concepts of labor so as to realize students’ comprehensive development.
Virtual Speech System Based on Sensing Technology and Teaching Management in Universities
Authors: Niu Yan 
Published: January 2024

Abstract
In this paper, digital speech is compressed using discrete Fourier transform, discrete cosine transform, and improved discrete cosine transform, and compressed sensing technology is proposed. Based on the compressed sensing technology, the frequency domain parameter compression algorithm and the speech coding and decoding algorithm are designed, and the interactive 3D virtual speech system design is completed through the pre-processing of the speech system, the extraction of speech features and the design of speech control commands. The virtual voice system designed in this paper is introduced in the teaching management mode of colleges and universities, and the main functions of the system include four major sections: notification management, online Q&A, virtual voice system interaction, and teaching resource management. The virtual voice system built using sensing technology is simulated and tested, and the practical application effect of the system is studied through empirical analysis. The experimental results show that the amplitude of the sound recorded by the compression sensor in the voice sensing experiment is more concentrated, the range is concentrated between [-0.025,0.025], and the detected voice is smaller and more effective than the amplitude recorded by the cell phone. Students were mainly satisfied and very satisfied with the four system functions designed in this paper, and in terms of the online Q&A function, only one student expressed great dissatisfaction and the total number of satisfied people was 119, and the students were highly satisfied with the teaching management of the system designed in this study.
Optimization of Innovative Talent Cultivation Mode of Tourism Management Major Combined with Multiple Intelligences Theory
Authors: Tong Guanglu 
Published: January 2024

Abstract
This paper first proposes the talent cultivation model of industry-academia integration on the basis of multiple intelligence theory and constructs the mathematical model of knowledge base expansion based on the three dimensions of coupling compatibility, interaction intensity and interaction time. Secondly, based on the knowledge transformation theory, it constructs the information and knowledge transformation model of industry-academia organizations and conducts the existence test of the Matthew effect. Finally, the tourism management major of University J as a research object is selected to analyze the operational development trend of the industry-academia integration talent cultivation model combined with multiple intelligences by analyzing the role relationship between system variables derived from the data. The results show that in 100 simulations, the coupling compatibility of the industry-academia fusion system of tourism management majors rises by 1.286 gradients for every 1.286 gradients, and the Matthew effect of the incremental knowledge of colleges and universities rises by one grade, indicating that the model, which has a more significant effect on the success rate of innovative talent cultivation in tourism management majors, has a more significant effect on the enhancement of the success rate of innovative talent cultivation.
Research on Distributed Virtual Reality Technology Based on VIRTOOLS in the Context of Big Data
Authors: Shi Minli 
Published: January 2024

Abstract
In this paper, virtual reality development software Virtools is used as the main tool for scene rendering in distributed virtual reality systems. The nearest distance-based control strategy is designed to achieve synchronous interaction between nodes by utilizing consistency control and prediction algorithms for nodes in the same cluster. Optimize the virtual scene by using texture mapping, detail level, and dynamic loading techniques. Propose a distributed parallel drawing method based on image plane segmentation to accelerate image drawing. The analysis and testing of the multiuser virtual reality roaming system in this paper is completed from four aspects: offline training model evaluation amount roaming test, lock performance test, and operation sequence error correction test. Among the analyzed data, the average lock time overhead is 123us, which has no obvious connection with the number of nodes, the number of locking times, and the execution of operations. According to each lock overhead of 123us, the number of concurrencies allowed per second is 8563, which fully meets the requirements of the system at this stage.
Research on the Synergistic Development and Operation Mechanism of Vocational Education and Innovative Development Concepts in the Context of Deep Learning
Authors: Xiao Qingshan 
Published: January 2024

Abstract
This paper proposes that the synergistic mechanism promotes the vocational education innovation system to transition from the primitive low-level, ordered and relatively balanced stage to the high-level, ordered and fully synergistic stage. By analyzing the dynamic evolution process of the order parameter, a complex system with self-evolution capability is built, and the vocational education collaborative innovation model is constructed at three levels: macro, meso and micro. Finally, in carrying out the benefit distribution and arithmetic example analysis, the spillover effect of the synergistic subject is explored, and the optimal value is taken using the optimization model of synergistic development of higher vocational colleges and universities. The results show that when the quadratic term coefficient of innovation output is 0.086, the stabilization strategy is (0,1) or (1,0), and the multi-body innovation resources realize interaction stabilization without spillover or feedback effects. This study proposes the optimal path of innovation integration mechanism from the aspects of mechanism, mode and content, which can provide new ideas for the collaborative development of vocational education and enterprises.
Research on the synergistic nurturing mechanism of ideological work and student management in colleges and universities under the binary structure
Authors: Du Zhenhua 
Published: January 2024

Abstract
This paper takes the synergy between ideological work and student management in colleges and universities as an entry point, analyzes the intrinsic mechanism between the two, and gives the synergistic effect of parenting after the integration of the two. The synergistic mechanism between student management and ideological work is explored by mining students’ daily behavioral data, and after analyzing students’ daily behavioral data based on density-optimized clustering algorithm, risk warning detection of students’ academic situation is carried out by combining the improved LSTM model. The GCN network model is utilized to detect students’ psychological disorders. In order to verify the effectiveness of the method given in this paper for exploring the synergistic cultivation of ideological work and student management, quantitative analysis was carried out through the data of college students’ one-card. The results show that the movement data of college students are divided into 4 classes, of which the largest proportion of students is class cluster 4 is 44.59%, the risk prediction accuracy of the improved LSTM academic warning model is 0.731, and the GCN network model has a model loss value of about 0.25% after about 50 iterations when the threshold value is 0. Colleges and universities under the binary structure can narrow the value differences between students through data mining technology, and can help students remove psychological barriers, prompting the generation of a collaborative parenting mechanism between ideological work and student management in colleges and universities.
A Study on the Construction of Cultivating High-Quality Farmers in Higher Vocational Colleges and Universities under the OBE-PDCA Approach
Authors: Han Jing , Zhou Jianshan 
Published: January 2024

Abstract
Rural revitalization, talent first, from the high-quality farmer’s cultivation policy as well as vocational education characteristics research, to achieve high-quality farmers’ talent cultivation. This paper analyzes the status quo of the cultivation of high-quality farmers, constructs the cultivation model of high-quality farmers through the OBE-PDCA method, and constructs the cultivation effect evaluation model of high-quality farmers based on the BP-PCA method by combining BP neural network and principal component analysis. On this basis, the cultivation path of management-type high-quality farmers is taken as an example to explore the effect of OBE-PDCA in constructing the cultivation model of high-quality farmers as well as the cultivation effect of high-quality farmers. The results show that the averages of the cultivation of provincial higher vocational colleges and universities in the four dimensions of PDCA are 16.07, 10.51, 13.48, and 22.58, and the F-values of the overall test are 2.4, 7.8, 4.5, and 4.1, with the correlation coefficients of 0.46, 0.45, and 0.59, respectively. The resulting difference in the weight scores of Δ ≥ 10 is 1 item, 5 ≤ Δ ＜ 10 is 6 items, 0≤ Δ ＜ 5 is 1 item, with good cultivation effects. Item, there is a good cultivation effect. The method constructed in this paper can effectively enhance the cultivation effect of high-quality farmers and promote rural revitalization.