bluuebunny/crossref_metadata_2025 huggingface dataset:
A positioning method for AUV based on guiding light source
Authors: Wang Kai , Ren Wenyuan , Duan Yaoquan , Du Hongwei
Published: December 2024

This paper proposes a method for determining the position of underwater vehicles using light vision guidance. In order to solve the problem of limited perception distance and unclear underwater images, the illumination device is installed on the recovery platform as a light source to enhance the feature information of the recovery platform. The collected underwater light source images are enhanced by the dark channel prior defogging algorithm, and then the YOLOv5 algorithm is used to recognize the targets. Through experiments, it is verified that the image enhancement algorithm and target recognition algorithm are effective. Using the recognition results, the positioning accuracy of the binocular camera ranging algorithm is verified, and the results indicate that the proposed method can accurately determine the distance of the AUV relative to the recovery platform.
Power forecast of hydro–wind–photovoltaic hybrid system dual-driven by physics and data
Authors: Xu Weifeng , Chen Xi , Wang Han , Zhang Ze , Bai Haonan
Published: December 2024

Short-term power forecast is an important way to guide operation of renewable energy stations and hybrid energy system (HES). The current studies focus on power forecast of single renewable energy station. However, the universality and applicability of power forecast model for HES is not clear. This study proposes a physics and data dual-driven day-ahead power forecast model for hydro–wind–photovoltaic HES. The WRF model and Xinanjiang model are used to drive meteorological and hydrological forecasts respectively. The hybrid variational mode decomposition - principal component analysis method is applied to further extract the features hidden in the meteorology or hydrology factors. The long short-term memory network is used to drive power forecast. China’s Guandi hydro–wind–PV HES is considered as a case study. Results show that the forecast root mean square error of dual-driven model decreases by 4.2% ~ 12.0% compared to single-driven model.
Calculation Method for Equivalent Ejection Mass of Variable Thrust in the Internal Ballistic Equation of Pyrotechnic Folding Rudder
Authors: Jiang Junting , Gu Mingfeng , Wu Qian , Yu Xiyang , Liu Yong , Yuan Zhendi , Zhou Yuanyuan
Published: December 2024

In order to solve the calculation of actuator ejection mass in pyrotechnic folding rudder, this paper investigates the calculation method for equivalent ejection mass of variable thrust in the Internal ballistic equations of pyrotechnic folding rudder, and obtains the fitting curves of equivalent ejection mass and gunpowder thrust in the case of variable forces and calculates the gunpowder thrust curves during the unfolding process by establishing the dynamic simulation model of the pyrotechnic folding rudder. After test verification, the test results are consistent withe the simulation results, indicating that the method is accurate and effective, and provides a theoretical basis for the design of the pyrotechnic folding rudder.
TRFSA-HQS: Transformer-based MRI Compressed Sensing Network with Frequency Domain Self-Attention
Authors: Mo Taiping , Zheng Mingfeng , Sun Peng , Li Jiangtao
Published: December 2024

Compressive sensing (CS) can reconstruct undersampled magnetic resonance images, but its iterative optimization process tends to be computationally intensive and time-consuming. Convolutional neural networks (CNNs) have demonstrated impressive reconstruction performance through non-linear feature extraction and mapping capabilities. However, CNNs often struggle to effectively learn and capture global dependencies in the data. Therefore, constructing a MRI reconstruction method that meets clinical real-time imaging and captures dynamic global correlation is crucial in fast and high-precision MRI tasks. We propose a deep unfolding network (TRFSA-HQS) for fast and accurate CS reconstruction, which combines frequency domain self-attention (FSA) based Transformer and half-quadratic splitting (HQS) iterative optimization scheme. TRFSA-HQS adopts an iterative scheme based on HQS to effectively decouple and update optimization problems. The decoupled data subproblems are updated by minimizing the objective function with competitive terms, while the regularization subproblems are updated using the TRFSA deep prior network. The TRFSA module employs an asymmetric UNet architecture, where the encoder and decoder utilize a frequency-domain discriminative feedforward network (DFFN) and FSA. The DFFN selectively extracts deep features from different frequency components, while the FSA captures global dependencies in the frequency domain. The experiment demonstrate that the proposed model achieves an average reconstruction PSNR of 35.11dB on a 0.2 sampling rate test set on FastMRI knee joint data, with an inference time of 0.74s. It has good reconstruction performance and noise robustness, meeting the clinical real-time imaging requirements.
On the solution of seven-precision-point path synthesis of planar four-bar linkages based on the solution region methodology
Authors: Zhao Song , Liu Wupeng , Liu Guangzheng , Zhao Yanhui Zhao , Guo Xiaoyan , Zhou Jiajin , Wang Yan
Published: December 2024

This paper makes further research on the application of the solution region synthesis methodology (SRSM) in path synthesis of planar four-bar linkages. Detailed process of establishing the solution region for seven precision-point path synthesis is illustrated. In order to obtain the solution region where one point corresponds to one linkage and the feasible solution region where linkages distributes different zones according to curve types, this paper compares four different solution region schemes and finally establishes the solution region with B1 as the reference. Compared with the eight-point case, the range of the solution region in this paper is larger and the statistics on the feasible solutions is more than twice of that in the case with eight points. Moreover, the feasible solutions obtained in this case have more curve types.
Research on Emotion Recognition Algorithm of Piano Music Based on Multimodal Learning
Authors: Yu Qiaolin , Lin Ying
Published: December 2024

The purpose of this study is to propose an emotion recognition algorithm for piano music based on multimodal learning. Multi-modal learning is a learning method that combines various types of data. By combining different modal information, learning tasks can be completed more comprehensively and accurately. In the field of music emotion recognition, multimodal learning can extract the emotional features of music from different angles, and improve the recognition accuracy and robustness. In this study, the multi-modal learning method is mainly used, and the representative features are extracted by combining the audio signal, score information and the performance of the piano music, and the machine learning algorithm is used to classify the emotions. The audio signal is preprocessed, including noise reduction, cutting and other operations, and then the features of the audio signal are obtained by feature extraction methods, such as short-time Fourier transform (STFT) and formant analysis (RPA). Digitally convert the score, extract the structure, melody, harmony and other characteristics of the music, and obtain the emotional information of the music by analyzing the relationship between symbols and notes in the score. By analyzing the performance skills, strength, speed and other parameters of the player, the characteristics related to the emotional expression of the player are extracted. Machine learning algorithm is used to train and classify the fusion features, and the emotion recognition of piano music is realized. In this study, the emotion recognition algorithm of piano music based on multimodal learning can mine the emotion information of music at different levels, improve the accuracy and robustness of emotion recognition, and provide useful reference for the field of music emotion calculation.
A Study on the Accurate Equation Inversion Method for Uncoupled Interface Parameters of OA Media Considering Initial Stress
Authors: Fan Zihang , Zong Zhaoyun
Published: December 2024

Underground media are generally affected by the initial stress of the overlying strata. At the same time, the uncoupled interface is an important influencing factor of seismic response, as well as an essential reservoir environment, reservoir space, and migration channel. It is significant to explore the parameters of the uncoupled interface under stress for identifying oil and gas reservoirs. As an effective means of predicting reservoir physical parameters, pre-stack seismic inversion uses information on uncoupled interface fractures under stress to improve the accuracy of reservoir parameter prediction, overcome the problem of insufficient interface parameter prediction methods, and promote oil and gas reservoir exploration and development. Based on the precise equations for directly characterizing uncoupled interface fracture weakness parameters, this paper uses the ANNI inversion method to realize the nonlinear inversion method of uncoupled interface fracture parameters. The feasibility and practicability of predicting underground medium parameters from seismic response characteristics have been verified through model testing and actual work area application.
Research on the approximate equation inversion method for the physical properties parameters of OA media with decoupling of stress and fracture effects
Authors: Fan Zihang , Zong Zhaoyun
Published: December 2024

Pre-stack seismic inversion is an effective method for predicting reservoir physical parameters. At the same time, azimuth seismic data is a reliable source of information for predicting underground reservoir elastic parameters, fracture parameters, and interface parameters and has rich underground information. However, it is difficult to determine whether the anisotropy of the reservoir is caused by stress or the original fractures. Therefore, distinguishing the influence of fractures and initial stress in the reservoir from azimuth seismic data is the key to predicting reservoir parameters. Because of the problem of insufficient consideration of the influence of stress and fracture weakness in OA media, based on Born's first-order scattering theory and Bayesian inversion framework, an approximate equation for the reflection coefficient decoupling fracture anisotropy and stress-induced anisotropy was constructed, and a linear inversion method based on the approximate equation was developed, realizing the exploration of methods for predicting fracture weakness and stress action parameters. Model testing and actual work area application have verified the feasibility and practicability of predicting underground medium parameters from seismic response characteristics.
Simulation Study of Dual Source Heat Exchange Evaporator
Authors: Wang Dan , Zhao Qi , Gu Shijie , Ma Shuang , Jin Hongwen , Chang Huinan
Published: December 2024

This article proposes a dual source heat exchange (DSHE) evaporator, which adopts a sleeve type heat exchanger design with external fins.A dual source heat exchange evaporator was simulated using Fluent software under different inlet velocity and temperature parameters,Analyzed the simulation results under typical working conditions,The temperature difference between the inlet and outlet of antifreeze is 1.93℃~4.28℃,The temperature difference between the inlet and outlet of the refrigerant is 6.39℃~12.53℃,The temperature difference between the inlet and outlet of air is 0.66℃~1.7℃.
Discriminating Homecoming Visitors Using Mobile Signaling Data
Authors: Tang Yonggang , Lin Huijie , Lin Huijie , Mo Mingjian
Published: December 2024

This study utilizes mobile signal data as an emerging data source, aiming to construct a framework that can efficiently distinguish homecoming visitors from other types of tourists. The rich behavioral features contained in mobile signal data are deeply analyzed. A two-stage clustering method based on machine learning, which integrates multiple aspects such as feature engineering, model construction, and performance evaluation is designed to ensure the accuracy and generalization ability of classification results. The main data source is the signaling data of the three major telecommunications operators in China. Using the signaling data from China's three major telecommunications carriers as the primary data source, this study verified the number of tourists in the Guangxi, as well as in Nanning, Guilin, and Yulin cities during the 2019 National Day Golden Week. The results indicate that the method presented in this paper offers a viable new approach for the statistical analysis and data mining of large-scale tourism figures.
Case report and literature review of DYNC1H1 gene in Chinese literature
Authors: Peng Qingsong , Yuan Hui
Published: December 2024

This paper presents an analysis of 15 cases (families) of Dync1h1-related genetic disorders reported in Chinese literature. The study focuses on the clinical manifestations, genetic mutations, and potential mechanisms underlying these diseases. Through a comprehensive review of the cited literature, they aim to provide insights into the spectrum of Dync1h1 gene disorders and their impact on patient health. The analysis highlights the importance of accurate genetic diagnosis in guiding clinical management and genetic counseling for affected individuals and their families.
Freight Volume Prediction for Logistics Sorting Centers Using an Integrated GCN-BiLSTM- Transformer Model
Authors: Tian Weiyan , Wu Shujia , Ma Ke
Published: December 2024

In this paper, a comprehensive learning model is proposed for predicting cargo volume at sorting centers, which integrates GCN (Graph Convolutional Network), BiLSTM (Bidirectional Long Short-Term Memory Network), ARIMA (Autoregressive Integrated Moving Average model), and Transformer models. To achieve this, a directed weighted graph is constructed considering the transport network and average cargo volume of each sorting center. The GCN model is employed to extract spatial features from the transport connection information of the sorting centers and these features are then fed into the BiLSTM network. The BiLSTM network leverages bidirectional information flow to learn the temporal characteristics of the data. Subsequently, the GCN-BiLSTM model, which combines spatial and temporal features, is used to predict the daily cargo volume for the next 30 days. The results demonstrate that the GCN-BiLSTM model and the ARIMA-BiLSTM integrated model significantly enhance prediction performance compared to single-model approaches.
Assessment of land use efficiency under carbon emission constraint: An empirical study of Pearl River Delta, China
Authors: Zeng Jinrong , Rong Qiangqiang , Hong Wuyang , We Fan
Published: December 2024

Land use efficiency (LUE) is the comprehensive reflection of the input and output in the process of land resource utilization. However, carbon emission during this process will lead to a decrease in LUE. It is necessary to evaluate LUE under carbon emission constraint for urban sustainable development. Although the carbon emission and efficiency of land use have been extensively studied, few researches considered the uncertainties in carbon emissions when evaluating LUE. In this study, a comprehensive assessment model of LUE was proposed. Interval parameter is introduced to a super efficiency slack-based measurement (SBM) model, leading to an assessment method of interval LUE, which can analyze the impact of carbon emission on LUE. A case study in Pearl River Delta (PRD) was conducted from 2005 ~2020. Results revealed that the overall carbon emissions of land use in the PRD increased significantly during the study period. Particularly, Zhuhai and Huizhou had a relatively larger increase. In terms of the total amount of carbon emission, it was relatively higher in Guangzhou and Shenzhen than the other cities in the region. Taking the carbon emission into account, the LUE of PRD still improved, especially in Shenzhen, Guangzhou, Foshan, and Jiangmen. However, an opposite trend was found for the LUE of Huizhou and Zhaoqing, changing from effective to ineffective. The LUE of Zhuhai and Zhongshan was always effective, while that of Dongguan was ineffective during the study period. In conclusion, the assessment method of LUE considering carbon emissions should be used to promote the efficient use of land resource. The results of the case study in this research can also provide decision-making reference for PRD and other urban agglomerations to improve LUE.
Optimal allocation of low-impact development facilities for urban runoff reduction
Authors: Wen Fan , Rong Qiangqiang , Gu Zhihui , Zeng Jinrong
Published: December 2024

In the context of global climate change and urbanization development, the intensity and frequency of extreme rainfall events have increased significantly, while the proportion of impermeable surfaces in cities has been increasing. These changes have led to frequent urban flooding, which seriously affects the safety of people's lives and properties and restricts the high-quality development of urbanization. Low-impact development (LID) is an important way to effectively mitigate urban flooding. How to obtain the optimal runoff control effect through the deployment of LID facilities in the construction of sponge cities is an urgent problem to be solved. This study proposed a novel implementation framework for LID optimization based on SCS-CN model and used data from Shenzhen to verify the effects. The results shows that the optimization of LID facilities proves to be effective in flooding mitigation. The results of this study can support decision-making for urban flood mitigation and sponge city construction.
Study on economic design and construction program of steel-hybrid combined girder bridge
Authors: Zhao Weidong , Yang Bing , Nian Yuze
Published: December 2024

In order to make full use of steel tensile and concrete compressive properties, combined beam cross-section stress-strain distribution characteristics and cross-section characteristics and loading procedures are closely related. At present, the cross-section form of I-beam combined with concrete panel is widely used, and the strength of the upper flange of the steel beam of the supported combined beam and the strength of the concrete panel of the unsupported combined beam have not been fully utilized. Through the theoretical analysis of different loading methods of combined beam strain stress distribution, so as to optimize the cross-section form, the proposed supported combined beam using the lower inverted T-shaped cross-section combined with the form of concrete panels, in the given actual engineering cases can obtain a higher elastic ultimate bearing capacity and can save 9.5% of the amount of steel. The unsupported loading method of I-beam combination beams can use lower grade concrete for better economy. Making full use of the neutral axis position change to design the combined beam cross-section is operable, inverted T-shaped steel beams combined with concrete panel combined beams is a way to save steel and reduce the construction of welded joints, with significant economic benefits.
Prediction of industrial VOCs based on LSTM for multi- monitoring stations
Authors: Liu Zhe , Wu Hui , Fang Shenguo
Published: December 2024

The prediction technology of VOCs (volatile organic compounds) from industrial sources is very important for monitoring and early warning. At present, few studies have focused on prediction using multi-site VOCs data, and there are few relevant studies on whether the statistics of VOCs monitoring data have an impact on the prediction effect of deep learning model. This study selected the appropriate multi-monitoring-site data to train the LSTM (Long Short-term Memory) model, and statistical data of VOCs for four monitoring stations was used to analyze the correlation between prediction performance, so as to improve the prediction effect of the LSTM model. The results showed that the statistics of VOCs observation stations can provide guidance on the predictive performance of the model to a certain extent, thereby improving the predictive performance of the model.
Effect of Extrauterine Growth Restriction and Subsequent Catch-Up Growth on Cardiac Parameters: A Study on Wistar Rat Pups.
Authors: Syed Hamd
Published: December 2024

Objective: To study the long-term effect of postnatal growth restriction followed by catch-up growth on microscopic cardiac parameters in newborn Wistar rats.

Methodology: This lab-based study was conducted at the Anatomy Department, CIMS Multan, on 120 neonate Wistar rats utilizing a rodent litter size manipulation model which mimicked human extrauterine growth restriction (EUGR) and catch-up growth. Initially, 30 pups were fed normally (Group N), while 90 were undernourished (Group R) to simulate EUGR. From days 11 to 21, the undernourished rats were separated into two subgroups: normal growth (RN, n = 30) and catch-up growth (RC, n = 60). The RC subgroup was further subdivided into accelerated (RCA) and slow (RCS) catch-up growth based on growth velocity. On day 60, microscopic cardiac parameters were assessed after euthanasia by ANOVA with a post-hoc Tukey test.

Results: Malnourished rats with catch-up growth (RCS and RCA) had significantly increased left ventricle wall area, decreased left ventricle lumen area and a higher mean cardiomyocyte diameter than that of the normally fed (N) and malnourished than normally fed (RN) rats. Also, RCA pups had significantly thicker left ventricular walls and less lumen area than RCS pups. No difference in the collagen content of myocardium was detected among the subgroups.

Conclusion: Accelerated and slow catch-up growth in rat pups decreases the left ventricular lumen area and increases the left ventricular wall + interventricular septum area significantly. Also, it increases the cardiomyocyte diameter in cardiac tissue.
Inverse association of fat soluble vitamins with matrix Metalloproteinases ratio of MMP2 and MMP9 in patients of breast cancer
Authors: Mahmood Maira
Published: December 2024

Objective:The study aimed to find association of fat soluble vitamins A, D and E with matrix metalloproteinases MMP-2 and MMP-9 in patients of breast cancer.

Methodology: Seventy-five histologically diagnosed females with breast cancer were included in the study. Seventy healthy women were taken as controls. Levels of MMP2, MMP9, fat soluble vitamins (A, D and E) were estimated by standard kit of ELISA.

Results: The mean age of patients was 47. Most of the patients had a positive family history of breast cancer (70.6%) and were found to be estrogen receptor positive (86%). Levels of MMP-2, MMP-9 were significantly higher in breast cancer patients than controls. (p value = 0.038 and 0.019). Fat soluble vitamins A, D and E were significantly decreased in patients compared to controls (p value = 0.007,0.038, 0.029 respectively). Anegative Pearson's correlation of MMP2 and MMP-9 was observed with fat soluble vitamins Aand D (r value = -0.25 and -0.15 respectively) and MMP-9 with Vitamin E. (r= -0.35)

Conclusion: Impaired expression of MMPs in breast cancer may be an indicator of tumor growth, increase angiogenesis and metastasis. Inverse correlation ratio of MMP-2 and MMP-9 with fat soluble vitamins predict the response to chemotherapy.
Oral vs Vaginal Misoprostol for Inducing Labor at Term: Randomized Controlled Trial
Authors: Wasim Tayyiba
Published: December 2024

To assess the efficacy of oral and vaginal misoprostol for inducing labor at term. Methodology: Department of obstetrics at SIMS/ Services Hospital, Lahore, conducted a prospective randomized controlled trial from January 2023 to June 2024. Two hundred term patients with a live baby having cephalic presentation were divided into two groups to receive either 50 µgm misoprostol orally or vaginally. The main result measured was the proportion of vaginal deliveries occurring within a 24-hour period; Additional outcomes included cesarean section, fetal distress, uterine hyperstimulation, induction to delivery interval, NICU admissions and neonatal mortality.

Results: Out of total 100 patients in each group, vaginal delivery within 24 hours was achieved by 67 patients (67.0%) in the oral group and 72 patients (72.0%) in the vaginal group, with no significant difference (p = 0.443). Cesarean rates were similar: 33 patients (33.0%) vs 28 patients (28.0%) (p = 0.443). Fetal distress was observed in 23 patients (23.0%) vs 24 patients (24.0%) (p = 0.868), and hyperstimulation occurred in 1 patient (1.0%) in each group (p > 0.999). Oxytocin use was significantly higher in the oral group: 41 patients (41.0%) vs 24 patients (24.0%) (p = 0.010). Neonatal outcomes were comparable, with Apgar scores >7 in 97 infants (97.0%) vs 96 infants (96.0%) (p = 0.700), along with comparable NICU admissions and neonatal mortality rates. Conclusion: Both oral and vaginal misoprostol are equally safe and effective for inducing labor at term, having good outcomes of vaginal birth with fewer complications.
The Impact of Chip Technology Innovation on the Marketing Strategy of Consumer Electronics Products: A Case Study of Smartphones
Authors: Li Rui , Galanza Josephine S.
Published: December 2024

Chip technology innovation has become the core driving force for the development of the smartphone industry, and its far-reaching impact on product performance optimization and marketing strategy transformation is particularly significant. This paper explores the theoretical connotation and development trend of chip technology innovation, and analyzes its key role in improving smartphone hardware performance, enhancing user experience and promoting market competition. In addition, through the case studies of two major brands, Apple and Huawei, it reveals the specific practice of the deep integration of chip technology and marketing strategy, including differentiated product positioning, technology-driven brand building and market promotion of innovative functions. The study shows that the breakthrough of chip technology not only gives smartphones significant technical advantages, but also provides strong support for brands to enhance market influence and user loyalty, thus enabling them to gain a competitive advantage in the rapidly changing consumer electronics market.
The Role of Digital Innovation in Shaping Cultural Narratives: Analysing the Ethical Implications of Algorithm-Driven Media Platforms for Online Communities
Authors: Li Kangjun
Published: December 2024

This study critically analyzes the dual impact of digital innovation on cultural and creative industries, emphasizing both opportunities and challenges. It investigates how digital media platforms, such as TikTok and the Palace Museum, drive market expansion, enhance cultural sustainability, and democratize information sharing. These innovations foster public engagement and cultural tourism, thereby contributing to economic growth and cultural development. Nevertheless, the study highlights ethical challenges such as misinformation, algorithmic bias, gender inequality, and racial discrimination, which hinder the potential benefits of digital platforms. Using a qualitative methodology that integrates case studies and secondary data analysis, this research identifies mechanisms driving these dual effects and evaluates strategies to mitigate negative consequences. The findings underscore the need for ethical frameworks and governance mechanisms to guide digital innovation toward sustainable development, ensuring alignment with inclusivity and social responsibility.
PENERAPAN INISIASI MENYUSUI DINI TERHADAP INVOLUSI UTERI PADA IBU POSTPARTUM DI RUMAH SAKIT TK II PUTRI HIJAU MEDAN
Authors: Maulina Nadira , Sinuraya Evamona , Purwaningsih Purwaningsih
Published: December 2024

Inisiasi menyusui dini adalah proses menyusui yang pertama kali dilakukan oleh seorang ibu kepada bayinya. Bayi pada yang baru saja di lahirkan 30 menit pertama harus langsung disusukan pada ibunya, Gerakan refleks untuk menghisap pada bayi baru lahir akan mencapai puncaknya pada waktu berusia 20-30 menit setelah bayi lahir. menghisap putingnya pada awal masa nifas meningkatkan stimulasi sekresi oksitoksin. Refleks saraf mendorong lobus posterior kelenjar pituitary untuk mengeluarkan hormon oksitoksin ketika bayj menghisap putting susu. Tujuan penelitian: Untuk mengetahui bagaimana gambaran studi kasus Penerapan inisiasi menyusui dini terhadap Involusi Uteri Pada Ibu Post Partum. Metode Penelitian: Metode penelitian ini adalah penelitian deskriptif. Kriteria inklusi dalam penelitian ini adalah pasien yang bersedia menjadi responden, terhadap ibu postpartum yang sudah melahirkan 2 hari atau lebih. Hasil dan Pembahasan : setelah dilakukan proses asuhan keperawatan pada ibu postpartum maka didapatkan hasil bahwa dengan pemberian Inisiasi Menyusui Dini dapat mempercepat Involusi Uteri, ibu dapat mengerti tentang cara pemberian Inisiasi Menyusi Dini yang tepat dan intervensi dapat dilanjutkan dirumah. Kesimpulan dan Saran: setelah dilakukan evaluasi keperawatan pada dua ibu postpartum maka klien mampu melakukan tehnik insiasi menyusui dini yang tepat dan meningkatkan keberhasilan dalam menyusui.
PENGGUNAAN MODEL INKUIRI DALAM PEMBELAJARAN TENTANG BAGIAN-BAGIAN TUMBUHAN UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS IV SD GMIT NO 7 OEBUFU KOTA KUPANG
Authors: Muda Anjelina Lomu
Published: December 2024

Penelitian ini bertujuan untuk meningkatkan hasil belajar IPA, khususnya pada materi bagian-bagian tumbuhan, melalui model inkuiri pada siswa kelas IV SD GMIT 07 Oebufu. Penelitian tindakan kelas ini menggunakan model siklus Kemmis dan McTaggart yang terdiri atas perencanaan, pelaksanaan, observasi, dan refleksi selama dua siklus. Data dikumpulkan menggunakan lembar observasi dan tes, dianalisis secara deskriptif. Hasil penelitian menunjukkan peningkatan nilai rata-rata siswa dari 68,47 (Siklus I) menjadi 81,95 (Siklus II), dengan persentase ketuntasan meningkat dari 61% menjadi 96%. Model inkuiri terbukti efektif dalam meningkatkan pemahaman dan keterlibatan siswa dalam pembelajaran IPA.
Kontribusi supervisi akademik kepala sekolah, budaya sekolah dan kompetensi guru terhadap kinerja guru SMK Negeri 1 Saptosari
Authors: Warjono Gandung , Najib Khotim Hanifudin
Published: December 2024

This study aims to determine the magnitude of contributions (1) academic supervision, school culture, teacher competence on the performance of teachers at the Saptosari Gunungkidul Vocational School (2) the school principal's academic supervision of teacher performance in Saptosari Gunungkidul Vocational School (3) school culture on teacher performance in Saptosari Gunungkidul District Vocational High School (4) teacher competency on teacher performance in Saptosari Gunungkidul State Vocational School. This research is a quantitative study, and is a research population where the population of the study is all teachers of the Saptosari Vocational High School which number 73 teachers. This study uses an ex-post facto approach, namely by testing what has happened to the research subjects. Data was collected through questionnaires using a Likert scale. Validate the contents of the expert judgment to examine the questionnaire instruments on material, language and measurement aspects. The construct validity of the instrument was tested using the product moment correlation technique from Carl Pearson. The reliability of the research instruments was tested by the Cronbach Alpha coefficient test. Data analysis was carried out after test requirements analysis, namely normality, linearity test, and multicollinearity test. The results of this study are as follows; 1) Academic supervision of principals, school culture, and teacher competencies on their own and together provide a positive contribution to the improvement of the performance of Saptosari State Vocational School teachers. This means that whenever there is an increase in the three variables, the performance of teachers in Saptosari District Vocational Schools will increase, 2) The results of the analysis show that teacher competencies make the greatest contribution to the work of Saptosari District Vocational School teachers, and academic supervision that provides the least contribution to the performance of state vocational school teachers as fast as Saptosari.
Pelatihan, motivasi berprestasi, penguasaan kompetensi dan pengaruhnya terhadap profesionalisme guru SMP di Kota Magelang
Authors: Gunanto Bambang Tri
Published: December 2024

The purpose of this study was to determine how much contribution effect training of participation, achievement motivation, and mastery of pedagogical competence simultaneously and partially to the teachers professionalism of Junior High School in Magelang City 2017/2018 academic year. This research is a quantitative type of research. The population in this study were all Public Junior School teachers in Magelang City, which numbered 496 people for level of error of 5% or 95% confidence level. The number of this sample was 178 people. The sampling technique uses proportional random sampling. Data collection is done through questionnaires. Data analysis techniques using multiple regression analysis, analysis techniques prerequisite analysis include normality test, linearity test, and multicollinearity test, regression analysis, F test, partial correlation and determination test. After validity and reliability tests were obtained that 29 questions from 30 items of questions motivation for valid and reliable achievement, 30 questions of pedagogic competence and 30 questions of teacher professionalism all declared valid and reliable. The results of this study indicate that the Education Quality Management there is positive and significant participation of the training, achievement motivation, mastery of pedagogical competence of the teachers' professionalism Junior High School in Magelang year 2017/2018, meaning that the higher participation of the training, achievement motivation and competence of a pedagogic then Professionalism teachers will increase. The results of the research can be used as input for principals and teachers to improve the professionalism of teachers.
Implementasi pendidikan karakter untuk mencapai mutu pendidikan di SMP N 4 Satu Atap Pakis Kabupaten Magelang
Authors: Suhada Imam , Supriyoko Supriyoko
Published: December 2024

The purpose of this study is to describe the implementation of caharacter education curricullum in the context of achieving quality education which includes implementation strategies, the relationship of character education with the quality of education  and the role of pricipals and the teachers in student character building in Primary school Satu Atap Pakis Magelang. This research was a descriptive qualitative study. Data sources were obtained from in-depth interviews with 4 informants and 5 additional informants. Source of supporting data obtained from observation and documentation. Data collection techniques by interviewing, observing and documenting. Data from interviews, observations and documentation were analyzed descriptively. The data analysis technique in this study used by reducing data, displaying data and verifying research data. As for the test of the validity of the data of this study, namely the extension of observation, increasing perseverance, triangulation and member check.The results of the study indicated that the character education implementation strategy includes the integration of building character values in all subjects and teaching and learning activities both intra-extracurricular, character education through routine habituation, stakeholder involvement and the existence of building  character values ( religious values, honesty, love for peace, hard work, creative, respect for achievement, communicative, fond of reading, environmental care, discipline, tolerance, responsibility, democratic, independent, national spirit, self-confidence and social care) in school. There was a close relationship between character education and quality of education as evidenced by the achievements obtained by students both academically and non-academically. The role of principals and teachers includes policy makers, motivators, and role models. There needs to be an increase in stakeholder involvement and communication in building character education values. In addition, there is need to improve the quality of the implementation of integration of activities in character education at SMPN 4 satu atap Pakis Magelang.
Analisis profesionalitas guru berdasarkan pengalaman mengajar, motivasi berprestasi, dan ketersediaan sarpras
Authors: Istinuryanti Istinuryanti
Published: December 2024

This study aims to determine : 1)how much influence the teaching experience, achievement motivation, availability of infrastructure on the professionalism of elementary school teachers in Paliyan District; 2) how much influence does the teaching experience have on the professionalism of elementary school teachers in Paliyan District; 3) how much influence does achievement motivation have on the professionalism of elementary school teachers in Paliyan District; 4) how much influence does the availability of infrastructure facilities on the professionalism of elementary school teachers in Paliyan District. This research is quantitative approach. The respondents are  176teachers of elementary school teachers in Paliyan Districtwhich spread in twenty elementary schools. The amount sample is 110 teachers determined by proposional random propotional sampling technique. Data are collected using questionnaires. Data  analysis includes multiple regression analysis using SPSS 24 which coundcts normality  test, , linierity test, and multicolinierity test as the pre requeisite. From the data analysis and some discussions, it is  concluded that : 1) The teaching experience, achievement motivation, and availability of infrastructure contribute positively and significantly to the professionalism of the teacher which means having a long teaching experience, strong achievement motivation and the availability of supporting infrastructure, the teacher's professionalism will increase; 2) There is a positive and significant contribution of teaching experience to teacher professionalism, meaning that the longer the teaching experience possessed by the teacher, the more professional the teacher will be; 3) There is a positive and significant contribution of achievement motivation towards teacher professionalism, meaning that the stronger the achievement motivation possessed by the teacher, the more professional the teacher will be; 4) There is a positive and significant contribution to the availability of available infrastructure, so that the professionalism of teachers will increase.
Pengaruh budaya kerja, motivasi kerja, dan supervisi pendidikan terhadap kinerja guru sekolah dasar di Wonosari Gunungkidul Yogyakarta
Authors: Prabowo Joko
Published: December 2024

This study aims to determine: the influence of work culture, work motivation and educational supervision on teacher performance, the influence of work culture on teacher performance, the influence of work motivation on teacher performance, the influence of educational supervision on teacher performance. The research method is quantitative. The population of this study were teachers in elementary schools in Wonosari Gunungkidul Yogyakarta, a total of 505 people. The sample in this study was taken by total sampling, a total of 205 people. The instrument used is a questionnaire. The data analysis technique used is product moment correlation at a significant level α = 0.05. The results showed that: (1) There is a positive and significant influence of work culture, work motivation and educational supervision on teachers' performance. (2) There is a positive and significant influence of work culture on teacher performance. (3) There is a positive and significant influence of work motivation on teacher performance. (4) There is a positive and significant effect of educational supervision on teacher performance.
EFFECT OF DIETARY SUPPLEMENTATION OF MONOTHECA BUXIFOLIA LEAF POWDER ON THE GROWTH PERFORMANCE OF BROILER CHICKENS
Authors:   Department of Animal Nutrition and Biochemistry, Sumitra Research Institute, Gujarat, India, Olujimi John Alagbe
Published: December 2024

The aim of this study was to investigate the effect of dietary supplementation of Monotheca buxifolia leaf powder on the growth performance of broiler chickens. A total of 250 -1-day old broiler chicks (Ross 308) were randomly distributed into five treatments with five replicates and each replicate consists of ten birds. Prior to the arrival of birds, basal diet adequate in all nutrients was formulated according to the requirement of birds by Nutritional Research Council in 1994. Birds in treatment one was fed basal diet without Monotheca buxifolia leaf powder, those in treatment two, three, four and five were fed same diet with Monotheca buxifolia leaf powder at 100 g, 200 g, 300 g and 400 g respectively. The experiment lasted for 42 days and birds had unrestricted access to clean water and feed. A completely randomized experimental design was adopted and all management practices was strictly adhered to. Result on the phytochemical content of Monotheca buxifolia leaf powder flavonoids (863.2 mg/g), phenols (511.8 mg/g) and terpenoids (102.3 mg/g) were the most prominent compounds followed by saponins (72.56 mg/g), tannins (62.34 mg/g), alkaloids (41.88 mg/g) and steroids (30.41 mg/g). Average daily weight gain and average daily feed intake values which varied from 41.24 - 51.37 g/b and 103.7 - 107.5 g/b were higher among birds fed Monotheca buxifolia leaf powder (treatment two, three, four and five) relative to treatment one (P<0.05). Similarly, feed conversion ratio whose value ranged from 2.09 - 2.50 were significantly (P<0.05) influenced by the treatment. In conclusion, feeding broilers Monotheca buxifolia leaf powder up to 400 g/kg diet does not pose any detrimental effect on the performance of birds.
O desafio de reforçar a capacidade mundial de responder de forma equitativa a futuras pandemias
Authors: Madies Claudia Viviana
Published: December 2024

The COVID-19 pandemic, despite the sustained global efforts prior to its emergence under the coordination of the World Health Organization (WHO), demonstrated its insufficiency. Today, debates on how to improve equity in future responses to new pandemics and on how to approach the next World Health Assembly in May 2024 remain imprecise and suffer criticisms regarding the deliberation processes, both in the Working Group on International Health Regulations (IHR) Amendments (WGIHR) and the Intergovernmental Negotiating Body for a new Pandemic Agreement (INB). There is little time left, and WHO and PAHO authorities are urging WHO Member States not to miss this opportunity. However, it is the WHO, as the leader of this process, that bears the primary responsibility for considering "equity" as the foundational value that originated both ongoing initiatives, remembering that containing risks at their source was a guiding principle of the IHR (2005). This commits the community and the international industry to accept that the greater the vulnerability and poverty of a population, the higher the risk of suffering infectious outbreaks, which can contribute to the start of a pandemic. Therefore, no one can be left behind, urging support for the most delayed in improving their capabilities for alert, surveillance, response, resilience, and their technological development and/or access to essential health goods and supplies, with additional financial and organizational resources.
Análise crítica do discurso jurídico exposto na Reclamação Constitucional quanto à limitação do direito de ir e vir de jovens na Operação Verão 2023/2024 no Rio de Janeiro
Authors: Calado Vinicius de Negreiros , Medeiros Bruna Nathália Ferreira , Peres Fabiana Prietos
Published: December 2024

The present study sought to verify which modes of operation of ideology, based on the critical analysis of legal discourse, are present in the elements of suitability for Juvenile Justice identified in the granting of the injunction requested by the Public Prosecutor's Office. The methodology used was a literature review and analytical framework of text, context and social practice inserted in the critical analysis of legal discourse, with observation of modes of operation of ideology and the permanence of a discourse with a colonial bias. As a result, there was a preponderance of the expurge of the other, thus identifying the mode of operation of the ideology of fragmentation.
Effect of Zinc Chelate and Sulfate on Mineral Content, Antioxidant Activity and Grain Yield of V igna unguiculata L.
Authors:   Universidad Juárez Autónoma de Tabasco, División Académica de Ciencias Agropecuarias. Km 25 de la carretera fed. 195, tramo Villahermosa-Teapa. Ra. La Huasteca 2da. secc. CP. 86298. Villahermosa, Tabasco, México, Estrada-Dominguez Veronica , Sanchez-Chavez Esteban ,   Universidad Juárez Autónoma de Tabasco, División Académica de Ciencias Agropecuarias. Km 25 de la carretera fed. 195, tramo Villahermosa-Teapa. Ra. La Huasteca 2da. secc. CP. 86298. Villahermosa, Tabasco, México, de la Cruz Lazaro Efrain ,   Universidad Juárez Autónoma de Tabasco, División Académica de Ciencias Agropecuarias. Km 25 de la carretera fed. 195, tramo Villahermosa-Teapa. Ra. La Huasteca 2da. secc. CP. 86298. Villahermosa, Tabasco, México, Marquez-Quiroz Cesar ,   Universidad Juárez Autónoma de Tabasco, División Académica de Ciencias Agropecuarias. Km 25 de la carretera fed. 195, tramo Villahermosa-Teapa. Ra. La Huasteca 2da. secc. CP. 86298. Villahermosa, Tabasco, México, Osorio-Osorio Rodolfo ,   Universidad Juárez Autónoma de Tabasco, División Académica de Ciencias Agropecuarias. Km 25 de la carretera fed. 195, tramo Villahermosa-Teapa. Ra. La Huasteca 2da. secc. CP. 86298. Villahermosa, Tabasco, México
Published: December 2024

The study evaluated the effect of applying different doses of zinc sulfate and zinc chelate on the mineral content, antioxidant activity, and yield of grains of cowpea bean (Vigna unguiculata L.). Doses of 7, 14, and 28 mM L-1 of zinc sulfate and chelate were assessed against a distilled water control. In the plants, the days to flowering as well as grain weight, number of pods, and number of grains per plant were recorded. Meanwhile, in the grains, antioxidant activity, phenols, phytic acid, and mineral content were determined. Results indicated that biofortification with 7 and 14 mM L-1 of sulfate and zinc chelate increases earliness in flowering, the number of grains per plant, and the grain yield in addition to improving the mineral content of the grains. The highest antioxidant activity was found with the zinc chelate treatments. Phenol content increased with the zinc chelate and sulfate doses, while the phytic acid content decreased with respect to the control. Biofortification of cowpea beans with zinc chelate and sulfate at 28 mM L-1 induced the highest accumulation of Zn in cowpea seeds. It is thus feasible to implement a biofortification program with zinc in cowpea beans to increase the zinc content, the mineral content, antioxidant activity, and phenol content in the grains, as well as to decrease the phytic acid content.