bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Bioagents in Different Formulations towards Rhizome Rot Management of Turmeric in Eastern Ghat High Land Zone of Odisha
Authors: Behera Sunita , Sial Parsuram , Biswal Gayatri , Mohapatra Pavitra Mohan , Panda Prasant Kumar , Mishra Ipsita Odisi Priyadarsini , Prusti Arjun Mohan 
Published: December 2024

A field experiment was conducted at High Altitude Research Station, Pottangi under Odisha University of Agriculture and Technology during the month of May to January 2018–19, 2019–2020 and 2020–21 to find out effect of bioagents in different formulations towards rhizome rot management in turmeric. Seven treatments were tested in the experiments T1: Tricho capsule (Trichoderma harzianum @ 1×106 cfu g-1) @ 1 capsule/120 l. of water. T2: GRB-35 capsule (Bacillus amyloliquefaciens @ 1×108 cfu g-1) @ 1 capsule/120 l. of water, T3: Tricho talc (T. harzianum @ 1×106 cfu g-1) powder @ 8.5 g l-1 of water, T4: GRB-35 talc powder (Bacillus amyloliquefaciens @ 1×108 cfu g-1) 8.5 g l-1 of water , T5: Tricho power liquid (Trichoderma viride @ 1×106 cfu ml-1) @ 5 ml l-1 of water, T6: Monas (Pseudomonas fluorescens @ 108 cfu ml-1) liquid @ 10 ml l-1 of water and T7: Control without any treatments. In each treatment rhizome treatment for 30 mins and basal applications of bioagents done at 45 and 90 DAS @ 5 l bed-1. Data on percent disease intensity, yield and B:C ratio were recorded at 45, 60 and 90 DAS. The lowest percent disease intensity (8.94%), highest fresh rhizome yield (21.06 t ha-1) and B:C ratio (1.72:1) was found in the treatment T5 followed by T1 with (10.33%) disease intensity, (20.57 t ha-1) yield and (1.69:1) B:C ratio.
PENCEGAHAN KEKERASAN SEKSUAL TERHADAP REMAJA DI LINGKUNGAN SEKOLAH DI BANDAR LAMPUNG
Authors: Raharjo Eko , Septiana Rika , Wijaya Rudi , Iqbal Adani Muhammad , Sholehurrohman Ridho 
Published: December 2024

Kekerasan seksual merupakan ancaman serius terhadap kesejahteraan remaja, termasuk di Lampung. Remaja, yang merupakan kelompok rentan, sering kali menjadi korban kekerasan seksual yang dilakukan oleh individu terdekat seperti orang tua atau guru. Artikel ini menyoroti pentingnya pencegahan kekerasan seksual melalui edukasi dan pengetahuan yang diperkenalkan sejak dini. Fenomena kekerasan seksual terutama terjadi di lingkungan sekolah, keluarga, dan tempat sosial lainnya, memberikan dampak fisik, emosional, dan psikologis pada korban. Selain itu, kekerasan seksual juga menciptakan dampak serius tidak hanya pada korban secara langsung, tetapi juga pada masyarakat dan lingkungan sekitarnya. Tingginya angka kekerasan seksual terhadap anak dan remaja, terutama yang terungkap dalam statistik kasus di Bandar Lampung, menunjukkan urgensi penanganan kasus kekerasan seksual. Pencegahan kekerasan seksual dan pengetahuan tentang kekerasan seksual perlu diperkenalkan sejak dini, dan inisiatif untuk memberikan pemahaman dan pengetahuan kepada siswa tentang kebutuhan untuk melindungi diri dari ancaman dan tindakan kekerasan seksual sangatlah penting. Tim pengabdian melaksanakan sosialisasi pencegahan kekerasan seksual di SMA YP Unila selama enam bulan dengan melibatkan pengurus OSIS, Paskibraka, dan perwakilan kelas sebanyak 40 orang. Sosialisasi menggunakan metode ceramah, sharing dan diskusi bersama, dan sesi tanya jawab. Hasilnya menunjukkan adanya peningkatan pemahaman siswa terkait pencegahan kekerasan seksual. Siswa menyadari pentingnya edukasi dan pengetahuan kekerasan seksual sejak dini, mengenali tanda-tanda kekerasan seksual, mengerti dampak serius yang terjadi, dan bagaimana melakukan penanganan kekerasan seksual. Siswa juga menunjukkan kesadaran akan peran pendidikan sebagai sarana meningkatkan kesadaran dan pengetahuan
MODEL-MODEL PENATAAN LAHAN PADA PEKARANGAN SEMPIT PERKOTAAN UNTUK MENINGKATKAN KUALITAS KESEHATAN DAN KESEJAHTERAAN KELUARGA
Authors: Ernawiati Eti , Chrisnawati Lili , Agustrina Rochmah , Wahyuningsih Sri 
Published: December 2024

Salah satu upaya dalam peningkatan ketahanan pangan dan gizi keluarga yang dianjurkan pemerintah adalah pemanfaatan sumberdaya yang tersedia di lingkungan, melalui pemanfaatan lahan pekarangan. Strategi penataan lahan dan pemilihan komoditas (tanaman) yang tepat diperlukan dalam pemanfaatan lahan pekarangan yang sempit dan terbatas. Hasil survei kami, menunjukkan bahwa sebagian besar ibu-ibu di kota Bandar Lampung belum mendapat pengetahuan yang cukup tentang pemanfaatan pekarangan tersebut. Ibu-ibu belum pernah mendapat pengetahuan tentang model-model penatahan lahan pada pekarangan sempit perkotaan dan pemilihan jenis tanaman yang tepat. Oleh sebab itu, pada pengabdian ini dilakukan kegiatan penyuluhan yang bertujuan memberikan pengetahuan tentang berbagai model penataan lahan pada pekarangan sempit perkotaan dan strategi pemilihan tanaman yang tepat sebagai upaya untuk meningkatkan kesehatan dan kesejahteraan keluarga. Kegiatan penyuluhan dilakukan secara ceramah dan diskusi, serta demontrasi. Kegiatan ini diikuti oleh 23 peserta yang terdiri dari ibu-ibu anggota majlis Taklim An-Nisa lingkungan Swadaya 8 dan 9, Gunung Terang, Langkapura, Bandar Lampung. Evaluasi kegiatan dilakukan dengan pretest dan postes, serta observasi langsung pada peserta melalui lembar observasi. Hasil postes menunjukkan terdapat peningkatan rata-rata skor sebesar 15,2, meningkat 22,42% dibandingkan rata-rata pretes. Sedangkan berdasarkan observasi selama kegiatan berlangsung, menunjukkan bahwa peserta selalu memperhatikan penjelasan dan terlibat dalam diskusi.
Theory Of Everything: A Conceptual Synthesis Of An Eleven Dimensional Dynamic Hyperspace As A Unified Zeropoint Subspace Ether
Authors: Jnr. Cert. H.E. Cert. H.E. Alan Peter Garfoot 
Published: December 2024

This theoretical research paper aims to aid the conceptual evolution of Grand Unified Theory (GUT), through developing the qualitative alignment of current divergent theoretical perspectives and outlier experimental evidence in the novel synthesis of a holistic new perspective through the philosophy of science context of initiating a paradigm shift in the dynamics of modern particle and dimensional physics theory. Taking the central components of Superstring and M-theory into a conceptual synthesis of theoretical dynamics and experimental evidence incorporating the four fundamental forces of nature, hyperspace theory, zero-point vacuum fluctuations of energy, the Casimir virtual particle effect, the higgs field, photoelectric radiation, quantum tunnelling, dark energy and the four dimensions of space and time in the conceptual composition of a schematic alignment of dynamic essences of physical existence formed into an eleven-dimensional subspace unification of manifest reality.
Exploring the theoretical interaction of three polemics of opposed dimensional properties and essences to realities manifest nature, as intersecting dichotomously distinct and conceptually defined axis of hyperspatial essence unified through a zeropoint subspace ether of seven dimensions, an eleven dimensional theory of reality incorporating the aforementioned components as the end product is synthesised. With the desire of elaborating and expanding the qualitative and conceptual dynamics of Grand Unified Theory as a paradigm, this research paper hopes to develop a broadened theoretical context along with increasing the alignment precision and dynamic inclusivity of current divergent tangents and experimental outliers into the synthesis of a complete and comprehensive future GUT paradigm.
Deep learning-based dynamic agricultural monitoring system: an analysis of the impact of climate variability on crop growth cycles
Authors: Zheng Feiyu 
Published: December 2024

Abstract
In the growth process of crops, the growth information of crops is an important basis for judging the growth trend and yield of crops, and it is also important research for monitoring the changes in crop growth. In this study, we constructed a monitoring system based on improved Faster R-CNN, selected the situation of different rice varieties in three cities of Jiangxi Province, and used the data to analyze the relationship between the growth and development of early rice and late rice and climate in Jiangxi Province. Based on the data results, for the case of the correlation of rice growth to climate ability in Jiangxi Province, it was concluded that the total growing season temperatures of both early and late rice passed the significance test. By using the monitoring system to identify the growth trend of rice shoots, the image recognition of rice shoots was adopted, and after pre-processing the images, the length, width, area and number of rice shoots were finally analyzed with respect to the law of time, and the growth process of shoots was monitored. The period of rising rice growth area is in July-August, which is one of the months of rice shoot area growth. The monitoring system employed in this paper is capable of effectively monitoring the impact of climate on the growth cycle of crops.
Optimization Research and Practical Path Exploration of Marketing Audit Strategy Based on Big Data Technology
Authors: Sun Lei , Wang Surong 
Published: December 2024

Abstract
Electricity theft has always been a problem of greater concern to electric power enterprises, however, the high level of technology of electricity theft and hidden strong increase in the prevention efforts of electric power enterprises. Big data technology is one of the important means to cooperate with electric power enterprises for marketing audits. The article proposes the use of the K-Means clustering algorithm and Apriori algorithm on the power supply company’s marketing audit data and mining so as to realize the judgment and early warning of the abnormal characteristics of the user’s electricity consumption. Through the analysis of the marketing audit of power supply company A and the current situation of power theft, it can be seen that in the 2020-2023 power theft data analysis and comparison, the large industry is the largest proportion of the main body of power theft, the proportion of agricultural production of power theft has shown a year-on-year increase in the state of the amount of agricultural production power theft in 2023 amounted to 279,800 yuan. Based on the investigation of the current situation of marketing audit of power supply company A based on intelligence, then the article uses the method of big data technology analysis of the power supply company’s marketing audit application, found that there are 11 users of the marketing audit of the degree of support are higher than 20%.
An Innovative Study of Interactive Performance Combining the Art of Drill and Dance with Deep Learning
Authors: Yang Rongbin , He Jianwei 
Published: December 2024

Abstract
This paper starts with the performance of audiovisual, using computer technology animation simulation gymnastics dance team formation, providing a way of arranging choreography. According to the basic elements of the ray tracing algorithm, set up the lighting model to improve the realism of stage rendering. Collect survey data to identify the challenges in creating gymnastics dance, and analyze the advantages of computer technology in the application of gymnastics dance team performance creation and training. Obtain the audience’s overall perception of the interactive performance of gymnastics and dance art, and analyze their satisfaction with all aspects of the choreographic design using holographic technology for gymnastics and dance art. The survey on the satisfaction of the elements of holographic choreography design for the performance of dance manipulation is mainly divided into three aspects, including the real choreography effect, virtual choreography effect and performance music effect, in which the gymnastics dancer’s expressiveness (65.99%), holographic projection screen effect (72.56%), the cooperation between the music and the holographic projection screen (63.77%) are all recognized by the audience, so the use of holographic projection technology in the performance of gymnastics dance manipulation is a good opportunity to get the audience’s satisfaction. The purpose of gymnastics dance teaching in sports education is to develop students’ physical coordination, rhythm, and aesthetic abilities. The introduction of deep learning techniques to gymnastics teaching and performance can not only provide a more vivid and realistic learning environment but also improve students’ interest and performance. To improve the effective strategy of gymnastics dancing performance, it can be achieved through the students’ rich practice activities, strengthening of technical methods, and the form of diversified performance.
A Study of Quantitative Modeling and Capital Market Efficiency Enhancement in High Frequency Trading
Authors: Li Zimeng 
Published: December 2024

Abstract
The capital market is gradually shifting to emerging development with the aid of computer technology, with the help of artificial intelligence and data processing algorithms to cope with complex data in order to reduce the error of judgment in the capital market caused by emotions. In this paper, the data collected from high-frequency trading are screened and normalized, and the data set is constructed using the time window sliding method. Then, the state indicators and reward functions of the model are proposed by the characteristics of the capital market and high-frequency trading, and finally, the quantitative trading model is constructed based on the deep reinforcement learning algorithm. The backtesting results show that the quantitative model proposed in this paper achieves significant improvements in the effect of high-frequency trading and is able to solve the complex and ever-changing challenges of the capital market. The practical application finds that the quantitative model of high-frequency trading proposed in this paper based on the deep learning algorithm significantly improves the profitability of the enterprise, and the gross operating margin of Group X in 2023 (59.68%) far exceeds the industry average (50.82%). The quantitative model in this paper is more adaptable to diverse capital market environments and can provide some lessons and references for improving capital market efficiency and achieving high-quality development of enterprise groups.
Pattern Identification of Community Engagement Behaviors in a Big Data Environment and Its Impact on Community Health Development
Authors: Luo Jingyu , Li Zheng , Liu Jianwei , Wang Qiao , Yu Qiaoling 
Published: December 2024

Abstract
Improving residents’ community participation capacity in the big data environment helps to realize common action and resource sharing among subjects and promotes the healthy development of the community. This paper takes the theory of planned behavior and the ladder theory of civic participation as the guide, designs and distributes questionnaires related to residents’ community participation behavior patterns to obtain research data, identifies the community participation behavior patterns using the K-Means clustering algorithm and introduces the PROMETHEE Ⅱ method to measure the community participation behavior patterns. The impact model of community health development based on structural equations was constructed to analyze the degree of impact of community participation behavior patterns on community health development. There are six categories of community participation behavioral patterns, and the overall net flow of complete community participation behavioral patterns is the highest at 0.047. The coefficient of impact of community participation behavioral patterns on community health development in the structural equation model is 0.149, and the test result has a significant impact at the 1% level. Different behaviors of community participation can promote healthy community development and help improve community governance.
Exploring the path of deep integration of traditional culture and ideological and political education based on virtual reality technology
Authors: Tang Jie , He Shuai 
Published: December 2024

Abstract
The continuous development of the information age promotes the transformation of teaching methods, and the forms of students’ learning and receiving knowledge are also constantly updated. In this paper, virtual reality technology is used to realize the deep integration of traditional culture and ideological and political education from the three aspects of the course: teaching objectives, teaching content and teaching process, and design of a three-dimensional animation classroom. The particle swarm algorithm is used to optimize the acquisition of teaching resources and integrate the best ideological and political education resources that incorporate traditional culture. Through empirical analysis, it was found that 66% of the learners of the teaching resources acquired by the algorithm believed that it stimulated their interest in learning the course, and 68% of the learners believed that it strengthened their understanding and mastery of the knowledge points. Compared with the traditional teaching mode of 3D animation classroom teaching mode based on virtual reality technology, the effect of improving students’ performance in traditional culture and Civics education under the former mode is higher than that of the traditional teaching mode. The teaching experiment demonstrates that the teaching design of this paper is capable of effectively integrating traditional culture with ideological and political education.
A Quantitative Approach to Technical Analysis of Tennis in a Physical Education Setting
Authors: Wang Yangyang 
Published: December 2024

Abstract
Tennis sports technology analysis is an evaluation of tennis sports technology from multiple perspectives, such as level and content, and is an important means of movement instruction for students in physical education. The application of intelligent technology for tennis sports technology analysis can reduce the workload of teachers and assist in tennis teaching. In this paper, multiple sensor nodes and the host are used to construct a wearable sensing network and realize the network communication connection. A support vector machine algorithm based on particle swarm optimization is proposed, and parameter optimization is performed on kernel function parameters and penalty factors to ensure the efficiency and accuracy of action recognition. Then a smaller number of action words are utilized to represent the original human motion sequence, and the use of angular features to represent the gestures of human motion is proposed to form a sequence of angular features. Finally, using the key gesture extraction and hierarchical clustering method, action words are extracted, and the generation of action text is realized by replacing each frame of data in the original action sequence with the action word that is closest to it. The accuracy of action recognition of this paper’s algorithm is 7.5% higher than that of the decision tree. The Spearman correlation coefficient between the quantization method of this paper and the traditional quantization method is 0.844, which shows a very strong correlation. Therefore, the overall fit between the performance rankings measured by this paper’s method and those measured by the teachers is high, proving the effectiveness of this paper’s quantization scheme in analyzing tennis sports techniques in physical education.
An Empirical Study of Augmented Reality Technology for Enhancing Interactivity in Language Learning in Higher Education English Language Learning
Authors: Zheng Lu 
Published: December 2024

Abstract
The current problem of insufficient speaking environment for learning foreign languages in China has led to many difficulties in the process of language application. This paper proposes a language interaction system based on speech recognition technology, integrates it with AR English classroom teaching, and designs a new teaching mode. In order to verify the effect of AR technology on the enhancement of language interaction, the study is based on the collection of speech data from the experimental classroom of the preschool education program of a teacher training university, and after collecting and organizing the data, the effect of different data sets on the recognition accuracy of the language interaction system in this paper is tested by changing the size of the data set. After the data set was enlarged, the language interaction system’s accuracy increased by 4.3%. Then, the comparative analysis of teaching language between AR English language interactive classroom and traditional English classroom is carried out from three aspects of language structure, teacher tendency and question and speech, respectively, and it is found that there is a big gap between the two, such as question and speech characteristics, in the AR English language interactive classroom. The rate of active speech among students is as high as 17.8%, while the rate of active speech in traditional English classrooms is 9.5%. The experiment verified that teaching in an AR English language classroom has a significant improvement in students’ language learning interactions.
Exploration of multiple regression analysis and prediction methods for power grid carbon emission factors
Authors: Ye Fan , Xiao Qiang , Xie Lu , Wu Jungang , Zhang Jian , Chen Yuguo 
Published: December 2024

Abstract
Carbon emissions from the power sector account for about one-third of China’s total carbon emissions, and carbon emission reduction in the power sector is crucial to the realization of the “double carbon” goal. This paper proposes a prediction model for grid carbon emission factor based on the combination of multiple linear regression models and the GM(1,1) model. The grid carbon measurement model is built using the theory of carbon emission flow, and the grid carbon emission accounting model is built using the consumption side. The average grid carbon emission factor is calculated by dividing the grid carbon emission factor into three different dimensions. The multiple linear regression model is used to study the correlation between the independent variables and the dependent variables, and the specific values of each regression factor are predicted by combining with the GM(1,1) model, and it is judged whether the prediction model is reasonable or not. Among the contributions of the increase in carbon emissions from the power grid, the contribution of electricity consumption increased from 2010 to 2014 and reached a peak of 2.9824 million tons in 2014, and the carbon emission factor value of the power grid gradually decreased from 0.719kg CO2/(kW·h) in 2010 to 0.593kg CO2/(kW·h) in 2022. The MR-GM(1,1) model is applied to the prediction of carbon emissions from power grids, and the absolute error of the results is within 15,000 tons, and the maximum relative error is only 2.42%. The calculation and prediction of carbon emission factors of the power grid can help power grid enterprises to clarify the trend of carbon emission, which is conducive to the realization of the low-carbon goal of “carbon neutral” and “carbon peak”.