bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study the Gene Expression of PIK3CA in Tissue and Blood Samples of Iraqi Patients with Colorectal Cancer
Authors: Azeez Rasha Abbas , Al-Jowari Suha Abdul-Khaliq , Mahmood Hayder Jamal 
Published: September 2023

Objective: The primary objective of this investigation is to explore the correlation between gene expression of PIKCA3 and colorectal cancer in both tissue and blood samples, while also performing a comparative analysis between these sample types.
Methods: This research involved the collection of blood and tissue samples. The study was conducted at the Gastroenterology Hospital within the Medical City Department in Baghdad, Iraq, spanning from December 2021 to December 2022. A total of 80 volunteers, encompassing both genders and aged between 24 and 77, participated in the study. The Real Time qRT-PCR analysis method was employed to assess the expression of PIKCA3 genes within patient and control groups.
Results: The findings indicate significant distinctions in Ct PIK3CA between blood and tissue samples across all study groups. Moreover, PIK3CA expression displayed a notable association with CRC patients, showing higher expression levels compared to the other groups. This disparity was particularly pronounced when comparing tissue and blood samples. Statistical analysis, specifically Receiver Operating Characteristic (ROC) Curve Analysis, affirmed the excellent predictive capacity of the AUC (Area Under the Curve) value. The study established that PIK3CA gene expression in tissue outperformed that in blood, demonstrating a considerably elevated gene expression in tissue (p<0.001). Notably, the fold increase in gene expression within CRC patients was significantly higher compared to the group of healthy participants, with values of 23.630 in blood samples and 124.810 in tissue samples, respectively. The present study underscores the prevalence of PIK3CA gene mutations in colorectal carcinomas.
Conclusion: The frequent occurrence of PIK3CA gene mutations in colorectal carcinomas may hold promise for the development of targeted therapy combinations. These could involve inhibiting both the PI3K kinase itself and addressing associated pathway anomalies.
INDONESIAN TERRORISM PRISONERS’ TREATMENT: A CASE STUDY AT NUSAKAMBANGAN CLASS IIA CORRECTIONAL INSTOTUTION
Authors: Rinaldi Kasmanto , Rio Tutrianto  
Published: September 2023

Proper and effective rehabilitation patterns for terrorist criminals remain a critical concern in Indonesian correction institutions. A thorough knowledge of extremism and terrorism remains a barrier to rehabilitation. Despite the significant loss of life resulting from the actions of the perpetrators, they maintain a conviction that their deeds are genuine and aligned with the principles espoused by Islam. The culprits' strong adherence to the imam's authority poses challenges to their willingness to consider perspectives that originate from their external groups. The results of this study showed that the pattern of rehabilitation that has been done has not been done to the fullest extent. This was found by using a qualitative approach and the case study method on the Nusakambangan correction institutions Class IIA, where data is collected through field observations and in-depth interviews with some key informants. The religious comprehension of incarcerated terrorists is deeply extremist. This is attributable, among other things, to the jail's poor quality of human resources in the rehabilitation process, the jail's lack of funds and supplies, and the convicts' inactivity in responding to government programs.
ANALISIS KOMBINASI PAKAN TAMBAHAN TERHADAP PERTUMBUHAN UDANG VANAME (Litopenaeus vannamei)
Authors: Aisyah Putri , Sujarwanta Agus , Widowati Hening , Sutanto Agus , Sulistiani Widya Sartika 
Published: September 2023

Abstrak: Budidaya udang vaname (Litopenaeus vannamei) di Indonesia semakin meningkat seiring dengan peningkatan ekspor udang. Peningkatan ini menyebabkan peningkatan budidaya udang vannamei secara intensif untuk memenuhi permintaan pasar. Salah satu upaya untuk meningkatkan produktivitas tambak udang di vaname adalah dengan meningkatkan kualitas nutrisi udang untuk meningkatkan pertumbuhan dan produktivitas. Tujuan dari penelitian melalui kajian literatur yaitu untuk mengetahui potensi pakan kombinasi bagi pertumbuhan udang vaname. Metode yang digunakan adalah deskriptif kualitatif dengan menggunakan kajian literatur dalam kajian artikel penelitian yang membahas tentang penambahan nutrisi, probiotik dan rempah untuk pertumbuhan udang. Berdasarkan hasil wawancara dengan petambak udang di Pasir Sakti Kabupaten Lampung Timur didapatkan kombinasi makanan pendamping yaitu petambak udang di Tambak B (Mina Bahari) menggunakan kombinasi makanan pendamping berupa probiotik dan rempah-rempah. EM4, tetes tebu/molase, ragi, mengkudu, bawang putih dan yakult. Di tambak C (Sido Makmur), petambak udang menggunakan kombinasi pakan yang terdiri dari EM4, tetes tebu, ragi, mengkudu, bawang putih, jahe, kunyit, susu skim dan yakult. Berdasarkan hasil kajian literatur, kombinasi probiotik dan rempah-rempah dapat meningkatkan nafsu makan dan imunitas udang, sehingga udang tahan penyakit dan dipercepat pertumbuhannya.
Kata kunci : probiotik, rempah, pertumbuhan, udang vaname.

Abstrack: The cultivation of vannamei shrimp (Litopenaeus vannamei) in Indonesia is increasing along with the increase in shrimp exports. This increase led to an increase in vannamei shrimp cultivation intensively to meet market demand. One of the efforts to increase the productivity of shrimp ponds in vaname is to improve the quality of shrimp nutrition to increase growth and productivity. The purpose of this study was to determine the potential of combined feed for the growth of vannamei shrimp. The method used is descriptive qualitative using a literature review in the study of research articles that discuss the addition of nutrients, probiotics and spices for shrimp growth. Based on the results of interviews with shrimp farmers in Pasir Sakti, East Lampung Regency, a combination of complementary foods was obtained, namely shrimp farmers in Tambak B (Mina Bahari) using a combination of complementary foods in the form of probiotics and spices. EM4, molasses/molasses, yeast, noni, garlic and yakult. In pond C (Sido Makmur), shrimp farmers use a combination feed consisting of EM4, molasses, yeast, noni, garlic, ginger, turmeric, skim milk and Yakult. Based on the results of a literature review, the combination of probiotics and spices can increase shrimp appetite and immunity, so that shrimp are disease resistant and their growth is accelerated.
Keywords: probiotics, spices, growth, vanamei shrimp.
Research on the path of high-quality development of tourism in Hainan based on international comparison
Authors: Li Jia 
Published: September 2023

Abstract
This paper analyzes the current situation of the development of tourism in Hainan and provides a new reference for the high-quality development of Hainan tourism. Firstly, the evaluation model and evaluation indexes of Hainan tourism high quality development based on a comprehensive evaluation method are constructed, the comprehensive index method is used to dimensionless process the data, and the entropy value method is used to conduct a comprehensive analysis of the quantitative relationship of selected indexes and the degree of variation to determine the index weights. Then the multi-objective linear weighting method is used to calculate the comprehensive level of Hainan tourism quality development. Then the regional difference characteristics of Hainan tourism quality development and the trend of tourism development time sequence evolution were analyzed, and finally, the path of Hainan tourism quality development was analyzed from multiple factors. On the regional difference characteristics, the northern and southern regions of Hainan have obvious advantages in terms of quality tourism development, with a comprehensive development index of 0.498 and 0.482 respectively, while the central region is relatively backward, with a development index of 0.364. The dynamics of industrial development in Hainan are relatively low, with slow and unstable growth, rising only from 0.0048 in 2013 to 0.0059 in 2018 and also showing a small downward trend in 2015 and 2016. This study has important implications for the high-quality development of tourism in Hainan.
Research and strategy of university education and teaching reform based on intelligent education platform
Authors: Zhang Juan 
Published: September 2023

Abstract
Exploring the path of college education and teaching reform is the way to improve the quality of college teaching and promote the development of college education. Based on big data technology, this paper proposes a wisdom education cloud platform, which is used to realize the comprehensive utilization of teaching resources for users. Based on the personalized teaching resource recommendation demand of users, a recommendation algorithm of high-order preference propagation based on a heterogeneous knowledge graph is jointly constructed by using a meta-path and knowledge graph based on a heterogeneous information network so as to realize the personalized recommendation of the platform to users and simulate and analyze the platform. In terms of platform performance, the random write and sequential write rates of the platform reach 4765 rows/s and 3218 rows/s, respectively, and the data transmission time is reduced by 68.35% and 69.35% compared with that of NetEase Cloud Classroom and Tencent Classroom, respectively. In terms of satisfaction, the platform in this paper has improved by 5.41% and 6.7% compared with NetEase Cloud Classroom and Tencent Classroom, respectively. This shows that the intelligent education cloud platform can be the exploration direction of education teaching reform in colleges and universities.
A study of Japanese language sense and evaluation based on the basic structure of sentence S-V-O
Authors: Li Xianrui 
Published: September 2023

Abstract
Linguistic sense is the ability to perceive language words directly, and the study of Japanese linguistic sense can provide a better understanding of the culture behind the Japanese language. By analyzing the combination of verbal information, intellectual skills, and cognitive strategies in a broad view of knowledge, this paper proposes a mental mechanism model of language sense based on adaptive control of thinking-rationality and formulates generative rules based on the intrinsic linkage of declarative and procedural knowledge. Based on the basic structure of sentence S-V-O, the structure of linguistic rules is generated, thus proposing a mechanism for the generation of the Japanese language sense. In terms of connectivity, the correlation between Japanese kanji vocabulary and Japanese culture is rated at 0.986, and the older generation even believes that there is a power of belief in Japanese kanji. In terms of linguistic deconstruction, the influence weight quartile range of lexemes in word sense evaluation was [66.4%, 73.6%], while the lower quartile of sentence prefixes and suffixes reached 78.2% and the upper quartile was located at 85.7%. The present study contributes further to the study of Japanese language evaluation by dismantling the mechanism of the Japanese language since production from a cognitive-psychological perspective, as language learning and cultural enhancement of understanding are essential.
A practical investigation of cultivating students’ art innovation ability based on word vector model
Authors: Liu Qingtian 
Published: September 2023

Abstract
In this paper, a multi-branch deep network architecture (JESF-MBF) based on joint embedded semantic features is proposed. In order to construct the structural consistency between visual image space and label semantic space, as well as to ensure the correspondence between sketch or image data and labels, the JESF-MBF model uses cross-entropy-based multivariate classification loss and cosine distance-based semantic similarity loss for model optimization. The optimized model improves the ability of label semantic information representation and image visual information representation, alleviates the discrepancy of data domain distribution between sketch and image, and constructs the mapping relationship between visual embedding space and semantic embedding space, so the sketch-based zero-sample image retrieval task is realized based on the intermediate medium. In the comparative model analysis, the average evaluation index of JESF-MBF is 0.412, better than that of Doodle2search at 0.344. In terms of the teaching effectiveness of the teaching platform constructed in this paper, the average time spent for the experimental class to complete each subject work is 9.4 class periods, while the average time required for the experimental class is 19.7 class periods. The results show that the art teaching platform based on the JESF-MBF model is very effective in terms of performance as well as improving the art level.
Research on environmental impact assessment of ecotourism development oriented to cloud model
Authors: Li Jingke 
Published: September 2023

Abstract
This paper calculates the index weights of ecotourism development environmental impact evaluation through AHP hierarchical analysis and constructs a cloud model of ecotourism development environmental impact evaluation by combining the research method of a cloud model so as to prepare for the subsequent example study of an ecotourism development environmental impact evaluation in Nanyang city. Secondly, the impact of tourism development and utilization on the quality of water bodies in the protected area is studied. In order to evaluate the impact of tourism development and utilization on water bodies in the area from various aspects, this paper analyzes the changes in water quality in the protected area from Space-time sequence. Then the above five characteristic parameters are substituted into the MATLAB software forward generator to get the ecotourism development environmental impact evaluation standard cloud model so as to derive the evaluation level of the ecotourism development environmental impact evaluation index located and summarize and analyze the impact of each index. The characteristic parameters of the cloud model are obtained: light impact (0.49.0.166,0.03), average impact (1.49,0.166,0.03), good impact (2.49,0.166.0.03), stronger impact (3.49,0.166,0.03), and strong impact (4.49,0.166,0.03), indicating that the cloud model-based method has the effect of resolving the ambiguity and randomness of comprehensive impact evaluation. This study makes the EIA process transparent and the expression of EIA results intuitive, which can better serve environmental decision-making and management.
Numerical simulation method of aluminum alloy heat treatment process based on BP neural network
Authors: Chen Xuewen 
Published: September 2023

Abstract
To address the shortcomings of the traditional BP neural network, this paper uses MEA to optimize the weights and thresholds in the traditional BP neural network, generates sufficient training samples to enhance the generalization ability of the model, and introduces a maturity judgment function to determine whether convergence is achieved. Based on the MEA-BP neural network, the effect of multiple aging on the microstructure of the aluminum alloy is investigated by numerical simulation method with the help of aging treatment to determine the heat treatment process of aluminum alloy. The results show that after the aging time exceeds 24 h, the hardness of the alloy tends to increase significantly, and the precipitation rate of the precipitated phase decreases. The peak hardness of the alloy at 75-120°C is the highest in the hardness curve at the fourth aging temperature of 90°C, which is maximum at the 7thh (119.4 HV). For the effect of the microstructure of the aluminum alloy, the T-phase was not found in the sweep diagrams of the specimens from the three aging states. This study can provide a theoretical basis and technical support for the formulation and optimization of the production process of aluminum alloy materials.
Research on the influence factors and improvement path of rural e-commerce development based on neural network
Authors: Zhao Qiao 
Published: September 2023

Abstract
This paper uses big data evaluation models to predict market trends with the goal of promoting rural e-commerce development. A closely integrated algorithmic trading framework is constructed, and strategic evaluation indicators are proposed in traditional indicators. By analyzing the current situation and problems of online marketing of agricultural products, a series of development strategies and safeguards are formulated, and suggestions are made to establish QR code traceability and highlight personalized product development. The results show that age has a greater influence on the development of agribusiness. 65.73% of the 20-35 year olds choose to be willing to buy and do so through the Internet, which is 53.40% higher than the average, and 59.09% of the under-20 year olds choose to be unclear but willing to know, which is 28.64% higher than the average. The data studied and analyzed in this paper are useful for predicting the sales trend of the rural e-commerce market and promoting the development of rural e-commerce development.
Bias detection and knowledge graph comparison analysis for medical record datasets
Authors: Yi Xiaoyu , Cheng Tian , Yu Wentao , Zhang Yanyan , Yi Mianzhu 
Published: September 2023

Abstract
In this paper, firstly, we study the reinforcement learning algorithm, which is a related technology of knowledge graph, and use reinforcement learning to structure the application framework of health care knowledge graph and construct the domain dictionary. And based on the BitLab21 dataset, entity relationship annotation is performed on the named entity recognition result set to realize entity relationship extraction of clinical electronic medical records. Then, the HacRED dataset is used to evaluate the deep learning model, and comparison tests and ablation experiments are conducted to verify the effectiveness of reinforcement learning for constructing knowledge graphs, respectively. Finally, a deviation monitoring method and a data feature extraction method for the case dataset are proposed, and a comparative study of different feature extraction methods is conducted to illustrate the advantages of feature fusion in distinguishing abnormal deviation patterns. All three features have relatively good recognition accuracy for normal patterns, which can reach 100%. The error curves perform well, and their training and testing errors converge very quickly to below 0.01 with less than 5 iterations and achieve nearly 100% recognition accuracy. Reinforcement learning-based knowledge mapping of case datasets and feature fusion-based data machine bias detection can improve the efficiency of medical detection.
A Study on College English Reading Teaching for Multimodal Teaching Model
Authors: Wang Wei , Zheng Yanyang , Li Yiran 
Published: September 2023

Abstract
In order to effectively improve college students’ English reading ability, this paper introduces multimodal teaching to analyze the way of teaching English reading in college. This paper firstly dismantles the multimodal teaching model, which is divided into multimodal teaching and the incorporation of the convolutional neural network, and analyzes the current situation of college English reading teaching. Secondly, we select the college English reading teaching modality, construct a multimodal fusion model for college English reading teaching and optimize this model to analyze the convergence and time complexity. Through the analysis of the fusion performance, we found that the accuracy and the pick-up degree of the pre-fusion increased by 22.25% and decreased by 18.22% compared with the unimodal fusion, and the number of participants increased by 61.51 Mb, which was not much different from the middle and late comparison, so the pre-fusion was selected to have the highest practicality. Finally, through the survey statistics on the application of multimodal teaching of college English reading, more than 80% of students and teachers think that multimodal teaching of college English reading can improve their English reading ability and teaching ability. So this teaching method improves their reading ability and enriches the diversity of teaching modes at the same time, which is worth promoting.
AdaBoost model-based rural governance co-integration and sharing mechanism
Authors: Zhang Yonghua 
Published: September 2023

Abstract
In this paper, we first study the implementation process of the AdaBoost model, initialize the weight distribution of training samples so that each sample weight is equal, then generate weak classifiers and calculate the minimum weighted error rate corresponding to each weak classifier, and then linearly combine the basic classifiers into strong classifiers by using weighted summation. Then the basic classifier weighting parameter calculation formula is improved by combining the characteristics of the logistics distribution function. Finally, the algorithm is used to analyze the rural governance willingness of river country residents, as well as to analyze the rural governance needs of rural residents at three levels: living conditions, public health and service facilities, to identify the types of rural governance, and to explore the rural governance patterns of different types of farm households. At the level of living conditions, farmers who wish to improve cooking fuel in 54 households, heating conditions in 61 households, bathing conditions in 40 households and family toilets in 53 households account for 43%, 49%, 32% and 42%, respectively. A total of 80 farming households, accounting for 29.41% of the research farming households, were optimized and upgraded, including 66 households in the key development area and 14 households in the production and living security area, accounting for 82.5% and 17.5% of the optimized and upgraded type, respectively. The research method of this paper has important references and reference significance for the construction of rural governance.
The Construction of Cultural Identity in Multimodal Discourse Analysis under the Perspective of Media Convergence
Authors: Chang Junfang 
Published: September 2023

Abstract
This paper constructs a model of cultural identity by combining the analysis of multimodal discourse in the media fusion perspective and explores how to better construct cultural identity. Firstly, we construct a multimodal cultural identity model in the media convergence perspective from three modalities: text, image, and video combined with cultural identity, so that we can analyze people’s cultural identity through emotion. Secondly, multimodal cross-sectional comparison experiments and dissimilarity experiments are conducted based on two widely used public datasets in the field, CMU-MOSI and CMU-MOSEI. The best experimental results were obtained in the baseline model, where Acc-2 reached 84.8%, F1 value reached 84.5, and MAE of the regression task dropped to 0.548. In the robustness study, when the missing rate reached 44%, Acc-2 was only 65.2%, and the gap between the results and the dichotomous classification accuracy of 76.5% achieved by the model in this paper reached 11.3 percentage points. Finally, through affective analysis, cultural identity is the affirmative embodiment of what is most meaningful to the nation formed by people living together in a national community for a long time, and its core is the identification with the basic values of a nation, which is the spiritual bond that unites this national community.