bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of The Efficacy of Therapeutic Ultrasound, Transcutaneous Electrical Nerve Stimulation and Low-Level Laser Therapy in the Management of Temporomandibular Disorders: A Comparative Study
Authors: Darwin D. , Hegde S. , Subhas Babu G. , Ajila V. , Sarkar A. S. 
Published: October 2024

Abstract

Aim
Temporomandibular disorders (TMDs), one of the most common causes of chronic orofacial pain is caused by the dysfunction of the various components of the temporomandibular joint and often require the use of non-invasive physical therapeutic modalities for its management. The present study was undertaken to compare the efficacy of plain therapeutic ultrasound (Th US), transcutaneous electric nerve stimulation (TENS therapy) and low-level laser therapy (LLLT) in the management of TMD.

Materials and methods
In this randomized clinical trial, 45 subjects aged between 18 to 40 years and diagnosed with TMD were randomly divided into three groups. The subjects of group A, group B and group C were treated with Th US, TENS therapy and LLLT, respectively, twice a week for a period of two weeks. The efficacy of each modality was evaluated in terms of pain intensity and functional improvement of the subjects both prior to and after each session using Visual Analogue Scale (VAS), Helkimo dysfunctional clinical index (HI) and Maximum Mouth Opening (MMO). Inter-group and multi-group comparisons of all the parameters, along with age-based differences, were analyzed using SPSS software (version 26) and a p-value of 0.05 was considered to be statistically significant.

Results
The mean age of the included study subjects were 30.3 ± 9.1, 27.5 ± 6.7 and 27.4 ± 6 years in the Th US, TENS therapy and LLLT respectively, with a female predominance (53.3%). A significant reduction of pain intensity (VAS) and dysfunction (HI), along with improvement of mouth opening (MMO), was seen among the subjects of all three groups by the end of the last interventional session (p < 0.05). However, a maximum difference was noted among the subjects of group C (LLLT) in terms of inter-group and multi-group comparisons of VAS, HI and MMO, followed by group A (Th US) and group B (TENS), respectively. Though the recurrence rate was high among the subjects of group Β (26.6%), there was no statistical significance.

Conclusion
Although significant improvements were observed among all three study groups, LLLT established a superiority over Th US and TENS therapy in terms of pain relief, mouth opening as well as functional outcome of the joint. Based on our results, we suggest the application of LLLT as an effective interventional option for TMD patients to achieve better and long-lasting functional results.
Research on adaptive artificial intelligence algorithm in signal denoising and enhancement
Authors: Mao Zhequn 
Published: October 2024

Abstract
Multimodal signals are susceptible to external environmental disturbances, such as weather conditions, electromagnetic interference, etc., which may affect the accuracy and stability of the data. This paper utilizes the characteristics of continuous and discrete wavelet transforms to study the wavelet threshold denoising algorithm in-depth, and by adjusting the parameters therein, it avoids the problem that the traditional threshold function is set to zero when the wavelet coefficients are smaller than the threshold value. Then, the deep learning algorithm in artificial intelligence is used to complete the signal adaptive denoising and realize the suppression of deceptive signal interference. The test results show that the adaptive denoising optimization model based on the deep learning algorithm has significantly improved signal characteristics compared to the original signal. Under a 15% noise environment, the average error of the model is less than 0.1, and the signal-to-noise gain of the signal is 5.0547 dB, which can reliably complete the interference suppression of both multiple interference and single interference and realize the adaptive anti-jamming optimization of the signal.
Research on the innovative mode of P.E. teaching under Virtual Reality Technology
Authors: Wang Kaibing 
Published: October 2024

Abstract
Online sports teaching has long faced the problems of monotonous teaching demonstration and insufficient interactivity, and the development of virtual reality technology provides a useful reference for revolutionizing the traditional sports teaching mode. This paper combines the linear interpolation and quadratic spherical interpolation methods to optimize the virtual human animation technology, and then selects the public frame and calculates the splicing algorithm and action fusion formula to deal with the related action and irrelevant action segments of the action scheduling problems, optimizing the smoothness of the articulation between the frames of the sports teaching animation, and improving the accuracy of the presentation of the virtual sports action. A sports teaching aid system is established, and its application effect is analyzed based on two optimization parts. The experiment shows that the average performance of boys’ high horizontal kick is improved by 10.1, and the average performance of double flying kick is improved by 26.57. The average performance of girls’ high cross kicks increased by 6.68, the average performance of double flying kicks increased by 18.68, and the average overall total score on the virtual reality technology acceptance scale was 3.826 points. Virtual reality technology has been proven to enhance the effectiveness of physical education teaching and is welcomed by students.
Research on innovative visualization design of miao costume images in Qiandongnan under aesthetic perspective
Authors: Xu Xubing , Luo Qiong , Zhong Tian 
Published: October 2024

Abstract
In this paper, we take the images of Miao costumes as the research object, construct the color system of Miao costumes based on the aesthetics perspective, and take the color migration as the research content to realize the visualization and innovative design of Miao costumes. Firstly, typical Miao dress images are obtained by digital acquisition. Then, RGB and HSL color modes are used to extract the colors and mine the color association rules of Miao dresses to construct the color system of Miao dresses. Then, an image segmentation method based on the color system of Miao costumes is proposed to achieve color migration between the color regions of decorative patterns. Finally, the patterns in the dataset of Miao costumes in Qiandongnan are extracted. Based on the classification study, a systematic and in-depth analysis of the color performance of the pattern patterns is conducted to clarify their artistic and aesthetic forms. It is found that the colors of Qiandongnan Miao costume patterns are mostly high-purity and high-brightness colors, of which high-purity colors (7-10) account for the highest proportion, including 16 colors such as earth red, grape purple, pink, and big red, accounting for about 56.5% of the total. The proportion of high brightness colors (7-10) in the colors is the highest, including 13 colors such as beige, goose yellow, grape purple, peach red, etc., accounting for 68.1%. It can be seen from the use of hues in the dress patterns of the Miao people in Qiandongnan that they will match the colors of the patterns according to the “five colors” and highlight a certain color as the dominant color according to the theme. The whole is complete, full of variegated and strong ethnic flavor.
Research on network-aware data fusion algorithm based on fuzzy time series
Authors: Wu Daiwen 
Published: October 2024

Abstract
The traditional adaptive weighted fusion algorithm ignores the spatial correlation between the network sensing data and has high fusion bias, significantly reducing network data transmission quality. The network perception data fusion algorithm based on fuzzy time series is proposed, and the network perception data prediction algorithm based on fuzzy time series is used. The network data value is calculated using first and two-order fuzzy relations during the training stage, and the trend value of the network data is obtained. The trend value in the prediction stage dynamically obtains the network sense. Based on the relationship, the fuzzy relation of knowledge data is used to predict the network perception data for the next time series. The network sensing data fusion algorithm based on the confidence matrix is used to fuse the data by predicting the spatial correlation between the data and filtering the noise of the abnormal data to the fusion results. The proposed algorithm’s high fusion accuracy and improved quality of network data transmission are demonstrated by experimental results.
Research on cognitive computing model based on machine learning algorithm in artificial intelligence environment
Authors: Zhang Xiaolei , Wang Bin 
Published: October 2024

Abstract
In the artificial intelligence environment, constructing cognitive computational models using machine learning algorithms is the main direction of computer development. By outlining the three cognitive levels of machine learning, the feature space composition of the cognitive computational model is exposed based on the data acquired by the human brain monitoring equipment. The Gaussian decision tree algorithm is used to construct the cognitive computation model, and the anthropomorphic effects of machine cognitive computation are explored in two directions: auditory features and visual features. In terms of auditory features, the model in this paper maintains 95.03% ± 2.49% feature recognition rate. In contrast, in terms of visual features, the algorithm proposed in this paper maintains a high tracking success rate of 88.83%. Based on the auditory and visual feature analysis results, the cognitive computing model based on the Gaussian decision tree algorithm has been confirmed to perform excellently.
Course Ideological and Political Construction and Teaching Practice under Big Data Mining Algorithms
Authors: Liu Guizhen , Liu Zhitian 
Published: October 2024

Abstract
The Integration of the Civic and Political elements into the Construction of the algorithmic course is intended to guide students to learn to use the Marxist position, viewpoints, and methods to identify the research direction of the discipline, master scientific thinking, and further strengthen the learning of the algorithmic course. This paper analyzes the teaching objectives of the algorithmic course on Civics and Politics, corresponds the Civics elements with the teaching content of the algorithmic course, and establishes a fusion matrix associated with the teaching content and the Civics content. The optimization of the Construction of the algorithm course’s civic and political objectives, content, course structure, teaching methods, and means are carried out respectively. Construct a closed-loop teaching system for online and offline algorithm courses on ideology and politics, following the OBE concept. Improve the particle swarm optimization algorithm, propose a swarm intelligent resource scheduling algorithm to optimize online algorithm teaching resource management, and analyze the recognition of online quality teaching resources. Analyze the achievement changes before and after teaching the algorithmic civics course using the independent sample T-value test method. The post-test data of the five dimensions of national sentiment, scientific spirit, professionalism, personal development, and Civic and political attitude of the students in the experimental class show P<0.05, and the experimental class and the control class present a difference of 0.05, indicating that the online and offline closed teaching system based on OBE can effectively integrate algorithmic courses and Civic and political elements, and improve the Civic and political cognition of the students.
Research on the Security Protection of Network Information Data by Blockchain Technology in the Context of Legal System
Authors: Jiang Fan 
Published: October 2024

Abstract
This paper examines the relevant legal system and integrates blockchain technology to ensure network information security protection at multiple levels, thereby meeting the requirements for network information security protection. The network information security protection effect of blockchain technology and initial technology is compared and analyzed. Subsequently, experiments such as SM2 encryption algorithm performance testing and analysis, anti-DDOS attack experiments, and anti-interception tests are conducted to prove the effectiveness and feasibility from the experimental point of view. The experiments reveal that the blockchain network information security protection test group always has a response time below 0.3s, resulting in higher protection efficiency. Compared to the RSA algorithm, the SM2 algorithm shows a shorter key length, which is more secure and efficient. The 2KB data encryption and decryption of the SM2 algorithm consume no more than 82.6 ms and 55 ms, respectively. With the increase in the attack rate, the transmission time of the DDOS attack detection mechanism fluctuates less, tends to be stable, and has excellent covertness, anti-attack, and transmission performance. This paper’s scheme satisfies the legal requirements, guaranteeing the highest level of data protection.
Pengaruh model pembelajaran kontekstual terhadap kemampuan membaca permulaan pada anak usia 5-6 tahun
Authors: Zannah Raudatul , Satriana Malpaleni , Rozie Fachrul 
Published: October 2024

This research was motivated by the low initial reading skills of students in class B at Tiara Pertiwi Loa Janan Kindergarten, a problem was found, namely that more than half of the students in the class did not know the letters of the alphabet, factors that caused students' low initial reading skills, including inadequate learning models and media. effective. The aim of this research is to determine the influence of the contextual learning model on the beginning reading abilities of children aged 5-6 years at Tiara Pertiwi Loa Janan Kindergarten. This type of research is quantitative, namely using experimental research methods with the research type Quasi Experimental Design and the research design is Nonequivalent Control Group Design. The population in this study were all class B students at Tiara Pertiwi Loa Janan Kindergarten. The samples in this research were class B2 as the experimental class and class B4 as the control class. The initial reading ability data obtained were analyzed using descriptive statistics and inferential statistics in the SPSS 28.0 For Windows program. The results show that the posttest completeness percentage values ​​for the experimental class and control class are 100% and 20% respectively. The results of hypothesis testing using the Independent Sample T-test in the SPSS 28.0 For Windows program showed that Two-Sided p was 0.003, smaller than 0.05, thus H0 was rejected and H1 was accepted. The conclusion from the research results after treatment is that the contextual learning model has a significant effect on the beginning reading abilities of children aged 5-6 years at Tiara Pertiwi Loa Janan Kindergarten. Using a contextual learning model with picture media and letter cards makes learning fun and more enthusiastic about recognizing letters.
SPORTS CLUB LOYALTY: GENERAL AND AGE-RELATED ANALYSIS. AN EXAMPLE FROM RECREATIONAL RIDERS IN RIDING SCHOOL
Authors: Vial Céline , Eslan Camille , Costa Sandrine 
Published: October 2024

Objective: The objective of this study is to investigate the impact of age on sporting club loyalty, focusing on horse riding in France.

Theoretical Framework: Using a consumer behavior marketing approach, this study provides an understanding of the relationships and influence between the constructs of loyalty, satisfaction, switching barriers, affective commitment to the group of friends and community commitment.

Method: A multigroup SEM was used to provide a global understanding. The Data collection was carried out through on online survey amongst 615 respondents in France.

Results and Discussion: Whatever the age is, the results confirm the classical influence of satisfaction on loyalty and highlight the significant influence of riding teachers on customer loyalty to riding schools. The relationships between the other constructs differ by age with different factors influencing satisfaction and loyalty. Younger riders’ loyalty relies more on teacher linkage, while older riders consider a more global environment, including switching barriers and commitments.

Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of sport management. These implications could encompass equestrian activities and sports businesses.

Originality/Value: This study contributes to the literature by showing the differences or correlations between segments of recreational riders according to their loyalty to their riding club. Thus, adapting marketing and management strategies according to the age of recreational riders is essential to improve loyalty according to its main drivers.
ANALYZING THE IMPACT OF FREIGHT TRANSPORT, GDP, AND PESO – BAHT EXCHANGE RATE ON PHILIPPINE TRADE IN DESICCATED COCONUT USING THE GRAVITY MODEL OF INTERNATIONAL TRADE
Authors: Prado Joshua Lapitan Del , Manfoste John Maxene Gonzales , Rosete Marie Antoinette Lukban 
Published: October 2024

Objective: The objective of this study is to investigate the impact of freight transport, Gross Domestic Product (GDP), and the Peso-Baht exchange rate on the trade of desiccated coconut between the Philippines and Thailand, utilizing the Gravity Model of International Trade. The primary aim is to understand the significant factors influencing the trade flow and to identify areas for improvement in international competitiveness.

Theoretical Framework: The research is grounded in international trade theories, focusing on the Gravity Model, which emphasizes the roles of economic mass and geographical distance in determining trade flows.

Method: This study made use of the ADF - Unit Root Test, Durbin – Watson Test, Jarque – Bera Test, Variance Inflationary Factor (VIF), Chow Breakpoint Test, Ramsey’s RESET, and Johansen Cointegration, to test the relationship between variables.

Results and Discussion: The results of this study highlights the positive, yet insignificant effect of Thailand, and Philippines’ GDP on the trade in desiccated coconut. The exchange rate, and freight transport negatively impacts the trade, however, it is notable that only freight transport having a significant effect.

Research Implications: The study provides insights into the logistical and economic challenges in the desiccated coconut trade, suggesting that addressing transportation inefficiencies and stabilizing exchange rates could enhance trade performance.

Originality/Value: This study contributes to the literature by applying an innovative approach to desiccated coconut, revealing how logistical inefficiencies and economic variables affect trade flows and influence policy decisions. This research aids in enhancing trade efficiency between agricultural-exporting nations like the Philippines and Thailand.
ANALISIS SEMANTIK KATA â€˜ABID DAN â€˜IBAD DALAM AL-QURâ€™AN
Authors: Qomariyah Uhlusul , Sholeh Moh. Jufriyadi 
Published: October 2024

Penelitian ini memiliki tujuan untuk mengetahui bagaimana analisis kajian semantik atas makna kata â€˜Abid dan â€˜Ibad di dalam Al-Qurâ€™an, serta perbedaan dari kedua kata tersebut. Secara spesifik penelitian ini akan mengungkap pandangan dunia Al-Qurâ€™an terhadap kosa kata atau istilah-istilah kunci di dalamnya sehingga dapat memunculkan pesan-pesan yang dinamik dari kosa kata Al-Qurâ€™an dan bisa diambil manfaatnya untuk dijadikan tambahan perluasan ilmu pengetahuan.". Adapun pendekatan yang digunakan yaitu kualitatif dengan jenis kepustakaan (library research) dan metode yang digunakan adalah deskriptif-analitif dengan Analisis teori semantik yaitu mencari istilah kunci dalam Al-Qurâ€™an, mengetahui makna dasar, makna relasional, historitas kata dan kemudian di akhiri dengan berusaha menyingkap pandangan dunia Al-Qurâ€™an(Weltanschauung). Adapun hasil dari penelitian ini menyatakan bahwa kata â€˜Abid dan â€˜Ibad memiliki makna dasar Hamba, Budak, Manusia, Hamba Sahaya,Orang, Â dan makna relasional yaitu bermakna Hamba, Budak, Ibadah, Penyembah, Taat, Tobat, Aniaya, Al-Riqab, Al-Nas, Al-Amat, Al-Fata, Malakat dengan menghasilkan Weltanschauung bahwa kata â€˜Abid dan â€˜Ibad berasal dari akar kata yang sama yaitu â€œâ€˜abdunâ€, kata â€˜Abid dan â€˜Ibad di dalam Al-Qurâ€™an sekilas diterjemahkan dengan kataÂ yang sama yaitu â€œhamba-hambaâ€ akan tetapi pemaknaan dan penggunaannya berbeda, di mana kata â€˜Abid memiliki konotasi negatif yaitu menyifati orang-orang kafir yang bermaksiat kepada Allah dan bergelimang dosa sehingga mendapatkan siksaan dari Allah. Sedangakan kata â€˜Ibad memiliki konotasi positif yaitu menyifati hamba-hamba yang senantiasa taat dan beribadah kepada Allah atau kalaupun berdosa mereka menyadari akan kesalahannya dan bertobat sehingga mendapatkan balasan kenikmatan dari Allah swt.Â
Promoviendo la igualdad de género en el Sistema Interamericano de Derechos Humanos
Authors: Espinosa Sánchez Neidaly 
Published: October 2024

Se analiza el marco jurídico de la igualdad de género en el Sistema Interamericano de Derechos Humanos, sobre los avances logrados en protección de derechos de las mujeres, a través de instrumentos como la Convención Americana y la Convención de Belém do Pará, que reconocen expresamente la no discriminación por género y la protección hacia ellas. También se discute los desafíos persistentes en la implementación efectiva de mecanismos jurídicos y culturales para la igualdad, como la adopción de políticas públicas, capacitación de actores judiciales y sensibilización social, que fortalecen el marco jurídico a través de esfuerzos conjuntos que promuevan la igualdad sustantiva.
ANALISIS DAN PENGEMBANGAN SISTEM INFORMASI ABSENSI DENGAN MENGGUNAKAN METODE FACE RECOGNITION HISTOGRAM OF ORIENTED GRADIENTS DAN METODE LOCATION BASE SYSTEM HAVERSINE FORMULA PADA PT. FILLAH GROUP.
Authors: Delima Siti Ratu , Cholil Widya 
Published: October 2024

Dimasa pandemi sekarang ini mengharuskan karyawan untuk berjaga jarak, perusahaan PT. Fillah Group membangun sistem aplikasi absensi wajah dengan menggunakan Smartphone. PT. Fillah ingin mengembangkan sistem aplikasi absensi wajah yang dahulunya masih Mengunakan absensi tanpa wajah. Human Resources Department yang memiliki peran dalam sumber daya manusia, harus memiliki strategi dalam membangun loyalitas karyawan. dapat membantu dalam proses HRD melakukan menginput data kehadiran karyawan dengan mudah dan langsung tersambung data ke website, serta sangat membantu karyawan dalam melakukan absensi kehadiran, pulang, izin saat sedang absensi kehadiran dikantor, maupun karyawan tenaga kerja lapangan tidak lagi perlu lagi melakukan absensi menggunakan sidik jari, membantu untuk kedisiplinan karyawan. Metode yang digunakan adalah Histogram of Oriented Gradients yaitu face recognition sebagai solusi untuk membantu mengatasi masalah absensi, melakukan pengenalan citra wajah karyawan. Dengan menggunakan metode haversine formula untuk mengetahui lokasi dalam sistem navigasi dan layanan ini menggunakan teknologi GPS serta mengaktifkan GPS di smartphone untuk mendeteksi titik lokasi. Sistem aplikasi “diharapkan dapat digunakan sebagai salah satu alternatif kehadiran karyawan di PT. Fillah Group yang lebih baik.