bluuebunny/crossref_metadata_2025 huggingface dataset:
Deep learning algorithms in enterprise accounting management analysis
Authors: Zhou Xuemei
Published: September 2023

This paper first constructs two accounting management prediction models. The first one is the CNN-GRU model, in which samples are input to the CNN model for extracting high-level abstract features by convolution and pooling and then input to the GRU model to train time-series potential features. The other is the CNN+GRU fusion model, where both CNN and GRU models are Merge fused, and the abstract features extracted from the two models trained separately are stitched together and then trained together. Then, through experimental comparison with other machine and deep learning methods, the two models developed in this study er on every evaluation index. The CNN+GRU Finally, the index system of accounting management is established, including seven categories of indicators reflecting the characteristics of the enterprise, which are divided into 23 secondary indicators, and the prediction of the enterprise accounting management of ST Boyuan in 2013 and 2014 is made by using the obtained deep learning. The results show that: the judgment rate of the enterprises in the year before the crisis is higher than that of the enterprises in the two years before the crisis, but both reach more than 90%, and the overall prediction accuracy rate reaches 95%, indicating that using deep learning for accounting management prediction can achieve very good results. The research results of this study help the enterprises’ internal management and thus have a guiding influence on their economic development.
Optimisation of an integrated water resources management system for the Yellow River based on numerical simulation
Authors: Fei Yihan , Chen Lu
Published: September 2023

With the development of digital information technology, the requirements for information technology in the management of the Yellow River are gradually increasing, and the application of information technology in the various operations of the Yellow River system is becoming more and more extensive. This paper firstly attempts to conduct an integrated study of the Yellow River water resources management system, integrating various business systems for water resources management and realizing the sharing of resources and information. Secondly, through numerical simulation, a numerical prediction model of water resources based on coupled atmosphere-hydrology-sediment environment and a numerical simulation system of hydrology-sediment is constructed to optimize the system of integrated water resources information and management of the Yellow River basin. Finally, the system is applied to the Yellow River basin, and its rationality is tested. The results show that in the dynamic water resources deployment experiment, the water resources utilization efficiency is 87.0%, which is 8.8% more efficient compared to the water resources system deployment before optimization, and the joint probability constraint and water resources utilization efficiency in the case are 0.01 and 79.6% respectively. In this paper, the system optimization of the integrated water resources management system of the Yellow River based on numerical simulation has improved the accuracy and real-time performance of water resources management, as well as the efficiency of water resources utilization, completing the integration and optimization of the integrated water resources management system of the Yellow River.
Analysis of the packaging characteristics of creative products in the context of new media based on Bayesian networks
Authors: Xie Lingyun , Li Beibei
Published: September 2023

Clarifying the features of the packaging of cultural and creative products is beneficial to out-of-the-loop cultural and creative products. In this paper, starting from probability theory, graph theory and information theory principles, we combine Bayesian network structure and feature selection theory to construct a feature extraction model for cultural and creative product packaging. The maximum mutual information principle is used to optimize the feature selection scoring function, and experimental analyses of execution time and performance comparisons are conducted for the BNCC-FS method. In terms of execution time, the average training time of the BNCC-FS method on the eight datasets is 4.73s, which is 14.53% and 43.44% lower compared to CC-FS and ECC-FS, respectively. In terms of performance comparison, the average HammingLoss value of the BNCC-FS method on sixteen datasets was 0.155, which was 2.52% and 10.41% lower compared to CC-FS and ECC-FS, respectively. This shows that the Bayesian network-based feature extraction method can effectively achieve feature extraction of the data and also provides a new research database for the analysis of the packaging features of cultural and creative products.
The application of friend recommendation algorithm in the design of traditional handicraft art communication platform
Authors: Wang Wenyan , Tao Peitian
Published: September 2023

Cultural awareness is a context in which the integration and development of traditional arts and crafts can be promoted by establishing an exchange platform. In this paper, the exchange platform is designed through the exploration of traditional handicraft art resources and the study of different classifications. The main points of the platform design and key operational processes are explored based on the analysis of the users’ needs for the traditional handicraft art platform. In response to the lack of accuracy of the traditional buddy recommendation algorithm, a buddy recommendation algorithm incorporating user interests was proposed based on big data to carve out different user preferences for traditional arts and crafts. The user interaction response rate of the platform was good, with TPS of 98.7, 137.4 and 75.6 on the sending side, service side and receiving side, respectively, in stable operation. The friend recommendation algorithm incorporating user interests can effectively dig out user groups with similar interests, which is optimized by 11.83% compared to the traditional friend recommendation algorithm. The exchange platform supported by big data, based on friend recommendations to strengthen user interaction, can effectively promote the exchange and integration of traditional handicraft arts.
Symbolic semantic design of industrial products based on Big data technology
Authors: Li Na
Published: September 2023

Exploring the symbolic semantic design path of industrial products is to make industrial products more compatible with the diverse emotional needs of consumers. In this paper, starting from the sentiment analysis model, the PLSA-FSVM sentiment analysis method is constructed using a probabilistic latent potential semantic analysis method and support vector machine based on the Fisher kernel. The method’s validity is verified for comparative experiments and sentiment word frequency analysis evaluation. From the comparison experiments, the ten-fold cross-average precision and recall of PLSA-FSVM were 89.18% and 88.35%, respectively, 4.15% and 2.59% higher than PLSA-SVM. From the sentiment word frequency analysis, the percentages of sentiment words such as atmosphere, practical, and worthy are 23.08%, 22.59%, and 24.72%, respectively. This shows that the PLSA-FSVM sentiment analysis method can effectively realize the sentiment analysis of industrial product evaluation, promote the symbolic semantic design to be more in line with consumers’ emotional needs, and then realize the symbolic design of industrial products to reach the meaning with shape and enjoy with meaning.
Model innovation construction of social work participation in grassroots community governance based on fuzzy comprehensive evaluation model
Authors: Hu Jiayan
Published: September 2023

Grass-roots community governance is a large volume in China, the “last mile” for implementing national policies, and has a special status in promoting the construction of China under the rule of law. Guided by the theory of the rule of law government, governance and good governance theory, competence-based theory and system theory, this paper constructs a model of grassroots community multi-governance. And by using the theoretical knowledge of the fuzzy comprehensive evaluation model and the Delphi method, we analyzed the factors influencing the rule of law competence of grassroots cadres and focused on constructing an index system of the grassroots cadres’ rule of law competence and establishing a multi-level evaluation model. The results show that: through the empirical analysis of the grassroots community multi-level shared governance model, the KMO values are 0.728 and 0.851, respectively, which are greater than 0.7 and pass the KMO test. The approximate chi-square values are 415.127 and 1254.23, respectively, and the significance level sig is 0.000, which passes Bart’s spherical test and has good sexual validity. The grassroots community pluralistic shared governance model proposed in this paper improves the comprehensive service capacity of urban and rural communities in China, complements the governance shortcomings at different levels, and takes multiple measures to improve the governance level of urban and rural communities China.
The Impact of Chinese Stories on the Foreign Communication of Shaanxi Local Culture Based on Deep Learning Models
Authors: Tang Yanhua
Published: September 2023

Exploring the influence of good Chinese storytelling on the foreign communication of local culture in Shaanxi is to develop local culture better and expand the influence of the local cultural industry in Shaanxi. In this paper, starting from deep learning neural networks, the attention mechanism is introduced by using convolutional neural networks, and the attention mechanism-based detection model for cultural information dissemination is constructed by vectorizing the data of the pre-trained model. The performance of the CNN-ATT model constructed in this paper is experimentally analyzed on two data sets. The accuracy of this paper’s model on the Ma_Dataset and CED_Dataset datasets is 96.23% and 95.21%, respectively. The best results are obtained when the convolution size is 3,4,5, and the accuracy is improved by about 4.03% compared with the convolution size of 4,5. This shows that the model of this paper can effectively analyze the influence of cultural information dissemination and also provides a research basis for the detection of the influence of telling Chinese stories on expanding the foreign communication of local culture in Shaanxi.
The role of LightGBM model in management efficiency enhancement of listed agricultural companies
Authors: Xi Xi
Published: September 2023

This paper first explores the principle of the the LightGBM model, which uses a gradient-based one-sided sampling GOSS procedure to sample the sample data to ensure the accuracy of the procedure in information gain evaluation. The mutually exclusive feature bundling Histogram procedure is used to bind the feature variables of the data and the Leaf-wise strategy for differential splitting to enhance the training speed of the model. Then the steps of the LightGBM procedure are discussed, using a a decision tree as the base learner, then iterative training in sequence, and greedy learning using forward distributed procedure and the original feature fetches must be identified from the bundled features to reduce the training complexity. Finally, the LightGBM procedure is associated and investigated with the other four procedures in terms of discriminative accuracy and discriminative time of the factors affecting the efficiency of enterprise management. In terms of level discrimination accuracy, the level discrimination rate of the LightGBM model is basically above 0.7, and the discrimination rate reaches 0.9 at level 6, which is better than other procedures. The discriminatory time of the LightGBM model is only 28 seconds, which is about 16 times faster than the CART model and 20 times faster than the support vector machine model.
A study of investment decision behavior based on risk analysis
Authors: Zhu Jie
Published: September 2023

Risk analysis of investment decision-making behavior is to improve the ability to prevent investment risks in order to guarantee the success rate of investment decisions. In this paper, the risk evaluation level is determined by calculating the correlation degree of risk indicators through the establishment of the material topology matrix, and the gray evaluation coefficients are determined by using the gray correlation analysis of the whitening weight function to construct the gray evaluation model. The risk index factors and the overall gray evaluation were analyzed by using the material topology model and the gray evaluation model. From the physical topology evaluation, the market risk correlation is −0.00825, which means the special level risk. From the grey comprehensive evaluation score, the overall evaluation score is 6.884 overall risk level is medium grade line. This shows that using the model constructed in this paper can effectively realize the risk analysis of investment decisions and provide a guidance basis for investors to take effective measures for different types of risks.
Analysis of factors influencing social responsibility in private education industry based on multimodal discourse analysis model of big data
Authors: Guo Shengqing
Published: September 2023

The analysis of factors influencing social responsibility in the private education industry is to promote better implementation of social responsibility in the private education industry. In this paper, a multimodal depth quantization algorithm is constructed by using a convolutional neural network and deep denoising self-coding network, and a multimodal discourse analysis model is jointly constructed based on the MDQS algorithm and multimodal semantic space. For the model constructed in this paper, quantitative analysis of the data is carried out by examples and performance evaluation experiments. From the performance evaluation, the average accuracy of the model is improved by 22.52%, 27.19% and 7.87% compared with the CCQ algorithm, SEPH algorithm and CDQ algorithm, respectively. In terms of the influencing factors, the highest frequency of the word “interest” is 20.43% and the lowest frequency of the word “culture” is 13.72%. This shows that the multimodal discourse analysis model can effectively analyze the factors influencing the fulfillment of social responsibility in the private education industry and help the private education industry to make targeted improvements to implement social responsibility.
A Markov Chain Prediction Model Based on Rural Tourism Supply and Demand Matching Governance Model from the Perspective of Cultural Tourism Integration
Authors: Xu Lingyun
Published: September 2023

Exploring rural tourism supply and demand matching to promote high-quality rural tourism development. In this paper, we start from the Markov chain model, use the gray GM(1,1) model to divide the state of the Markov chain model and correct the relative error for the weighted Markov chain prediction. The corrected errors are used to construct the gray-weighted Markov chain model, and the arithmetic tests and example data analysis are conducted for the model. In terms of the model accuracy, it was improved by 12.75%, 9.28%, and 7.98% compared with the ARIMA model, ES model, and W-Markov model, respectively. From the perception of supply-demand matching, four demands are in low perception, and three demands are in high perception. This indicates that the use of the gray-Markov chain model can effectively realize the analysis of rural tourism supply and demand matching and also provides theoretical support for rural tourism to realize the supply and demand matching with tourists.
An empirical analysis of the evolution of piano performance skills based on big data
Authors: Zhang Yuyu
Published: September 2023

The current hotspots of empirical analysis of piano performance skills mainly focus on the recognition of single notes, and there are some limitations in recognition accuracy and noise resistance performance. In this paper, to address this problem, firstly, on the basis of big data, we propose to realize the segmentation of the music section and noise section based on the single-port limit energy difference method and perform note onset and stop detection for the music section based on LMS adaptive filtering algorithm, using the musical characteristics of piano to identify the energy jumping point, which effectively improves the accuracy of note onset and stop detection and avoids the situation of missing and wrong diagnosis. Then the piano piece was played as an example, and the scientific evaluation of the piano performance skills was made based on the results of the determination of note types. The results showed that the errors of the eight notes of the piece were 0.9%, 0.30%, 0.24%, 0.28%, 0.34%, 0.11%, 0.63% and 0.28%. The correct rate of determining the types of notes in the performance technique of the music was 100%, and the error of determining all notes was controlled within 1%. This study provides a reference standard for evaluating the quality of music performance and has broad application prospects in the fields of family leisure, music tutoring, etc.
The application of communication art in tea packaging design under the modern aesthetic perspective
Authors: Wen Zhiyong
Published: September 2023

This paper first explores the color emotion analysis of visual communication art, using linear equations and correlations to analyze the correlation between color emotion and image color space and classifying the degree of warmth and coldness and emotional expression of various colors. Then a multi-model hybrid color emotion calculation method is proposed, using positive-negative attribute values to get color positivity-taking values, using heavy-light to get color weight-taking values, and using warm-cold to get color heat-taking values, respectively. And the global color emotion feature of the image is calculated by using the extraction algorithm of central area weighted features. Finally, the influence of visual communication art on tea packaging is analyzed in terms of graphic design, color and layout of the packaging. In terms of packaging focus, 64 people think that they should focus on the embodiment of humanistic customs and culture, 87 people think they should focus on aesthetic aesthetics, and 75 people think they should highlight the characteristics of the product. In terms of the cultural and emotional orientation of packaging, 70.9% of people think that packaging diversity is the main tendency, and 50.9% think that retro style can better reflect the cultural characteristics of tea. The art of visual communication makes tea packaging design more design and aesthetic.
Research on standardization and quantitative extraction of information of ancient building components based on BIM
Authors: Deng Hua
Published: September 2023

The standardization and quantitative extraction of component information are accomplished by establishing an information model of ancient buildings. Based on BIM technology, i.e., model visualization, virtual simulation and BIM-related software, this paper combines the dimensional types of components to realize the parameterization settings of components and further designs the information structure of ancient building components. The standardization rate, repetition rate, repeatability coefficient, and standardization coefficient of the components were calculated by quantitative methods, followed by the determination of standardized components and the quantitative extraction of component attribute features based on the BIM model map. Based on the standardization of the information of the five-room, nine-purlin-hipped ancient building members based on BIM, the spatial location of the ancient building members was determined with the following parameters: bucket size 32.5 mm, eaves height 2180 mm, net height 1802.8 mm, and side legs 23.1 mm. BIM application provides a new way of thinking for archiving and protecting ancient architectural data.
The challenges of ideological and political education in universities based on the Internet environment and its optimization path
Authors: Zhang Zhen
Published: September 2023

In order to explore the challenges and optimization paths faced by ideological and political education in colleges and universities under the Internet environment. This paper establishes a comprehensive evaluation model for the ranking of university online public opinion, conducts quantitative posture analysis based on rank affiliation function, starts qualitative posture analysis based on language grade evaluation, determines objective weights of quantitative and qualitative posture ranking indicators by using deviation method, uses binary, ordered ratio method to determine for expert weights, and integrates subjective and objective assignments based on empirical factors. After establishing the comprehensive evaluation of the posture level of college network public opinion, the influence of network public opinion on thinking and political education was analyzed: bad network information can easily distort college students’ ideology and value orientation, and the posture level evaluation of the influence of network public opinion on college students’ values reached −0.85. Meanwhile, the network public opinion hinders the formation of the moral sentiment of college students, and the posture level evaluation of the influence reached −0.67. This study analyzes the influence of college network public opinion on thinking and politics from both qualitative and quantitative aspects and provides an intentional reference for college thinking and politics education to respond effectively to the network environment.
Analysis of power system scheduling operation mode based on multi-objective optimization algorithm
Authors: Bao Bo , Zuo Jian , Zhang Shuiping , Tu Lian , Chen Yixing , Qian Feng , Liu Feng , Zhang Binbin
Published: September 2023

Exploring the majorization strategy of the power system (PS) dispatching operation is to achieve economic cost reduction and reduce environmental pollution. In this paper, starting from the PS dispatching model, the adaptive Corsi variance is introduced to get rid of the local optimum using particle swarm majorization procedure, and the adaptive Corsi variance multiple swarm coevolutionary procedure is constructed through coevolutionary strategy and information sharing strategy. The MCPSO-ACPM procedure is used to optimize the PS scheduling operation model, and experiments are conducted on both load and unit for the optimized scheduling model. From the load majorization results, the peak-to-valley variance is concentrated from 176.02KW to 110.51KW compared with the original load, and the peak-to-valley ratio is reduced by 0.718, which saves customers 98.63 yuan in electricity purchase cost. From the scheduling majorization prediction, the PS output power prediction value of 1 min during the day is closest to the actual measured value of output power, and its prediction deviation is about 2.67%. This shows that the use of a multi-objective majorization procedure can realize the optimal dispatch of PS and achieve the reduction of economic cost.
Increasing Student Learning Activities Through the Implementation of Interactive E-Modules in Science Tutorial Models on Elementary School Ecosystem Materials
Authors: Idayanti* Zulfi , Suleman Muh Asharif , Maemonah Maemonah
Published: September 2023

The development of teaching materials requires educators to innovate in creating effective learning. E-module is one of the technology-based teaching materials developed to encourage students' natural science learning activities independently. This study aims to analyze the use of e-modules in increasing students' independent learning activities, especially in science subjects. This research is a quantitative type with 21 students in class V-A Madrasah Ibtidaiyah as the subject of the research. The data collection method is in the form of a learning activity questionnaire. The results showed that the use of e-module teaching materials can increase student learning activities by 44.74% with the most activity criteria being moderate (3-5 activities). This is because the density of extracurricular activities that must be followed at school makes children lack independent learning activities outside the school environment. With this teaching material, it is hoped that it will be able to support students' independent learning activities outside the school environment comfortably and increase students' enthusiasm for learning
Application of Problem Based Learning Assisted by Reward and Punishment to Improve Self-Regulation of Junior High School Students
Authors: Muthia* Gusti Ayu , Anggereini Evita
Published: September 2023

The purpose of this research is to solve learning problems in class, especially student learning independence. Based on the results of student observations in the learning activities that have been carried out, it is known that the independence of student learning is still quite good. In fact, independent learning is one of the success of learning. Based on observations in class, it is known that the independence of student learning is still low. This is indicated by indicators that students are less actively involved in learning in class and are still unable to independently learn to present the results of their discussions in front of the class. This problem occurs because the learning process in the classroom directs students more to work on their student worksheets without carrying out discussion activities that involve student activity in learning. Efforts made to increase learning independence are the problem based learning (PBL) and reward and punishment models. The research method used is the classroom action research (CAR) cycle. The object of research is class VII junior high school students. Collecting research data using observation sheets and student reflection questionnaires. Quantitative descriptive data analysis techniques with very good, good, good enough criteria. Based on the results of the study, it was found that there was an increase in the learning independence of students using the PBL and reward and punishment learning models. This increase occurred after the implementation of learning for 2 cycles
Pemberdayaan Ibu Rumah Tangga Dan Remaja Putri Melalui Pelatihan Pembuatan Yoghurt Buah Mangga di Desa Cot Cut Kecamatan Kota Baro Kabupaten Aceh Besar
Authors: Masyitah Masyitah , Nupus Hayatun , Sartika Dewi , Karuna Mirda
Published: September 2023

Yoghurt adalah hasil fermentasi susu oleh bakteri Lactobacillus bulgaricus dan Streptococcus thermophilus. Yoghurt menjadi produk minuman yang dipilih karena rasa dan khasiatnya yang khas. Buah mangga (Mangifera indica) yang merupakan buah konsumsi, dengan penambahan sari buah mangga untuk penambah cita rasa dan meningkatkan nilai gizi yoghurt serta menggantikan esens atau perisai makanan. Pengabdian masyarakat ini bertujuan untuk memberdayakan dan meningkatkan keterampilan masyarakat dalam mengolah susu dengan penambahan sari buah manggo menjadi yoghurt. Metode yang digunakan dalam penyuluhan pemberian materi pengetahuan dan demonstrasi. Hasil kegiatan menunjukkan bahwa partisipasi dapat meningkatkan pengetahuan dan kemampuan dalam pengolahan susu menjadi yoghurt. Produk ini diharapkan dapat menjadi alternatif sumber gizi hewani sekaligus dapat menjadi peluang usaha untuk meningkatkan perekonomian masyarakat.
Pelatihan Pembuatan Silase Berbahan Hijauan Untuk Pakan Ternak Kambing Perah di Desa Meunasah Mon, Kecamatan Mesjid Raya, Kabupaten Aceh Besar
Authors: Pratama Said Mirza , Resthu Muhammad , Mariana Elmy , Nasrullah Nasrullah , Koesmara Hendra , Fatmala Nanda
Published: September 2023

Ketersediaan hijauan pakan secara berkesinambungan sepanjang tahun baik kualitas maupun kuantitas menjadi syarat mutlak bagi pengembangan ternak. Hijauan yang  melimpah pada musim hujan harus dilakukan pengolahan dengan cara diawetkan, sehingga kualitas nutrisi dari hijauan tersebut tetap terjamin. Salah satu teknologi pengolahan pakan dengan teknik pengawetan yaitu dengan pembuatan silase. Pembuatan silase dilakukan untuk mengawetkan dan meminimalkan hilangnya nutrisi juga dapat memperbaiki nutrisi pakan. Permasalah utama yang dihadapi oleh kelompok tani di desa Meunasah Mon adalah penyediaan  pakan yang berkualitas dan kontinyu. Guna meningkatkan pengetahuan peternak tentang pembuatan pakan kambing perah dengan proses silase, maka perlu dilakukan pelatihan kepada peternak di Desa Meunasah Mon, Kecamatan Mesjid Raya, Kabupaten Aceh Besar. Kegiatan pelatihan ini dilakukan pada tanggal 26 September 2022. Peserta yang hadir pada pelatihan pembuatan silase ini adalah 13 orang. Antusiasme peserta sangat tinggi saat mengikuti pelatihan pembuatan silase. Peserta memiliki kemauan untuk berperan aktif dalam membuat silase. Kesimpulan kegiatan ini adalah Pelatihan yang dilakukan mampu meningkatkan pengetahuan dan keterampilan anggota kelompok ternak budidaya ternak susu kambing Desa Meunasah Mon terhadap manfaat dan teknik pembuatan silase serta pemanfaatannya sebagai pakan ternak kambing perah. Penyediaan pakan berkualitas pada musim kemarau dapat diatasi, sehingga tingkat pertumbuhan dan produksi ternak akan tercapai optimal.
Temporal Scale and Practices for Production of Pochota Fendleri Seedlings: Comparison Between Methodologies
Authors: Smiderle Oscar José , Souza Aline das Graças
Published: September 2023

Objective: This study aimed to describe a methodology that involves obtaining a temporal scale in days, along with the technical information necessary to obtain maximum vigor of Pochota fendleri seedlings when sown in containers and/or Gerbox boxes, as well as their quality.
 
Method: The experimental design was completely randomized, with four replicates, composed of 25 seeds of medium size and light brown color.
 
Result and conclusion: Emergence of Pochota fendleri seedlings grown from freshly harvested seeds of medium size and light brown color sown was 97% at 10 DAS, with emergence speed index of 13.2. Freshly harvested seeds of medium size and light brown color sown are recommended for the production of Pochota fendleri seedlings.
 
Research implications: Obtaining knowledge that guides appropriate practices and the temporal scale is essential for the production of seedlings of native forest species. These seedlings can enhance the success of planting forest stands for timber or non-timber purposes, besides ensuring the establishment and survival to programs for restoration of degraded areas.
"Величав Амур седой, мы храним его покой". Проблемы исторической памяти и региональной идентичности в Хабаровском крае
Authors: ЕФРЕМЕНКО Дмитрий Валерьевич
Published: September 2023

В статье рассматривается проблематика политики памяти и региональной идентичности в Хабаровском крае. Пример Хабаровского края демонстрирует особенности политики памяти на уровне региона, где мнемонические взаимодействия и нарративы могут отличаться от соответствующих процессов на федеральном уровне. Рассмотрены взаимодействия ключевых мнемонических акторов, выявлены основные зоны конфликтов, связанные с различными трактовками исторического прошлого. Показано значение политического использования прошлого для формирования региональной идентичности.
Свободная энергия одномерной модели Изинга разбавленного магнетика
Authors: Сергей Викторович Сёмкин , Виктор Павлович Смагин
Published: September 2023

Модель Изинга с немагнитным разбавлением применяется для теоретического описания многих объектов и явлений в физике конденсированных сред и ядерной физике. Влияние немагнитного разбавления на критическое поведение магнетиков, в том числе и тех, которые описываются моделью Изинга, представляет значительный научный интерес. Для модели Изинга с немагнитным разбавлением не удается построить точное решение для какой-либо кристаллической решетки. Свойства этой модели исследуются либо численно, либо в том или ином приближении. В настоящей работе получено точное решение для одномерной модели Изинга с неподвижными, хаотично расположенными немагнитными примесями. Точное решение основано на представлении статистической суммы разбавленной цепочки в виде произведения статистических сумм изолированных отрезков цепочки различной длины. Для вычисления статистических сумм этих отрезков использован метод несимметричной трансфер-матрицы, с помощью которого найдено точное значение свободной энергии цепочки с примесями как функция концентрации примеси, температуры и внешнего магнитного поля. Затем полученное точное решение сравнивалось с решением, полученным в псевдохаотическом приближении. Оказывается, что в нулевом внешнем поле точное решение полностью совпадает с решением, полученным в псевдохаотическом приближении. При наличии внешнего поля разница между точным и приближенным значением свободной энергии зависит от концентрации примесей и от температуры. Эта разница и была исследована в настоящей работе. Ключевые слова: фазовые переходы, модель Изинга, разбавленный магнетик.
Психолого-педагогическое сопровождение детей с интеллектуальными нарушениями: реализация профессиональной подготовки педагогов-психологов
Authors: Бахтина Светлана Владимировна , Зайцева Елена Витальевна
Published: September 2023

В статье показан результативный вариант прохождения практики педагоговпсихологов в области развития компетенций психолого-педагогического сопровождения детей с интеллектуальными нарушениями. Показаны принципы и методики работы педагогапсихолога в специальной коррекционной образовательной школе VIII вида, в том числе описаны пути профессионального развития студентов в рамках производственной педагогической практики. Представлены виды деятельности педагога-психолога. Выделена специфика развития учащихся с указанными проблемами. Выделены виды диагностических заданий. Описан психолого-педагогический консилиум как способ профессионального взаимодействия педагога-психолога с педагогами и дефектологами в рамках основных направлений работы специалистов психологомедико-педагогического консилиума школы (ПМПК) по сопровождению детей с интеллектуальными нарушениями, а также как источник развития компетенций для студентов – будущих педагогов-психологов. Предложены коррекционные мероприятия, направленные на преодоление выявленных нарушений, и показаны формы взаимодействия специалистов. Показана результативность развития компетенций студентов на основе их самооценки. Ключевые слова: будущий педагог-психолог, студент, производственная педагогическая практика, компетенции, консилиум, психолого-педагогическое сопровождение, результативность, интеллектуальные нарушения.
A Utilização da Analogía Etnográfica no Estudo dos Aterros da Região Pantaneira de Corumbá, MS
Authors: Eremites de Oliveira Jorge
Published: September 2023

Os trabalhos de levantamento e prospecção realizados pelo Programa Arqueológico do MS - Projeto Corumbá identificaram mais de uma centena de aterros, em sua quase totalidade cerâmicos, distribuídos entre a sub-região do Pantanal do Abobral e a Lagoa do Jacadigo. Apresentam-se como elevações do terreno, sob forma circular e sub-circular, com uma densa cobertura vegetal e próximos de canais, rios e lagoas. Deveriam ter sido ocupados por populações canoeiras que provavelmente os utilizavam para habitação e cultivo sazonais. Os índios Guató constituem um exemplo etnográfico deste tipo de instalação e podem servir para melhor compreender questões relacionadas a assentamento e subsistência através do método da analogia etnográfica.
Uso y organización del espacio en las tierras bajas de la Cuenca de la Laguna Merín
Authors: Maria Lopez Mazz José
Published: September 2023

São expostas um conjunto de reflexões gerais, não sistemáticas, referentes à distribuição geográfica de sítios tidos nos diferentes ambientes da bacia. As interpretações estão na linha de um modelo anteriormente proposto, para caçadores-coletores de alta eficiência, em ambientes de alta produtividade. Um marcante expansão territorial acompanha o estabelecimento de condições ambientais favoráveis para os grupos humanos a partir de 3.000 AP., nas zonas baixas. São admitidos princípios gerais de análise espacial, e da construção cultural do espaço, que surgem de experiências tão diferentes como o megalitismo europeu, da costa peruana, os espaços públicos cerimoniais e o meio urbano. O objetivo é assinalar aspectos que a pesquisa deve resolver, através da construção de hipóteses específicas, em temas onde a informação resulta ainda fragmentada. O tema do povoamento inicial ou arcaico da região está entre os prioritários.
Sambaquis Cosipa (4200 a 1200 Anos AP)
Authors: Figuti Levy
Published: September 2023

A característica mais conspícua dos sambaquis do litoral sudeste é a enorme quantidade de conchas que os constituem. Esse volume esmagador foi logicamente associada a uma intensa atividade de coleta, que teria primazia sobre outras atividades de subsistencia. Todavia neste trabalho tentamos revisar esta visão, deixando de lado o aparentemente obvio, para reexaminar a questão por uma ótica biológica, levando em conta sobretudo aspectos da antropologia ecológica e das propriedades nutricionais dos moluscos bivalves.
Evidence-Based Practice Guideline for Post-Spinal Hypotension Prevention in Cesarean Section in, Review of Article, 2023
Authors:   Department of anesthesia, Abebe Seife Minda
Published: September 2023

The most common complication we see in obstetric surgery after spinal anaesthesia is hypotension. Postspinal hypotension prevention is critical during caesarean section for a successful maternal and foetal outcome.
The Value of Ultrasound in the Assessment – Prediction of Difficult Intubation
Authors:   Sismanoglio- Amalia Fleming General Hospital, Vasileios Flampouraris
Published: September 2023

Recently, the value of ultrasound has been recognized as a promising non-invasive method of predicting the difficult airway.
Herbal Treatment for Gastric Dilatation Volvulus in Animals
Authors:   Jai Narain Vyas University, Singh Chouhan Ashwin
Published: September 2023

Gastric dilatation volulus, also known as gastric dilation, twisted stomach, or gastric torsion, is a medical condition that affects animals in which the stomach becomes overstretched and rotated by excessive gas content
Costs And Benefits of the Improvement of Biosecurity on Pig and Broiler Farms
Authors:   Centro Ricerche Produzioni Animali, De Roest Kees
Published: September 2023

The control of the risk factors of animal diseases should be considered as the primary safeguard in livestock farms to prevent the introduction and circulation of pathogens, which can lead to severe productive and economic consequences
Effect of Moringa Oleifera Leaves and/or Stylosanthes Guianensis as a Protein Source on Post-Weaning Growth and Carcass in Guinea Pigs (Cavia Porcellus)
Authors:   Department Of Animal Production, E Miegoue
Published: September 2023

In order to contribute to the improvement of guinea pig feeding, a study was carried out between November 2020 and January 2021 at the T3F Batseng'la Poultry Farm (FERAVI T3F) and the Animal Production and Nutrition Research Unit of the Faculty of Agronomy and Agricultural Sciences (FASA) of the University of Dschang
Epidemiology and Public Health Importance of Toxoplasma Gondii in Ethiopia: An Overview
Authors:   Department Of Veterinary Epidemiology, Behailu Woldesenbet Yehualashet
Published: September 2023

Toxoplasma gondii is one of the most widely prevalent cyst forming apicomplexan parasites. Its causative agent is toxoplasmosis, facultatively heteroxenous a zoonotic protozoan parasite that infects virtually all warm-blooded animals, including wildlife, domestic animals and humans
Establishing Regional Regulations for the Protection of Local Wisdom
Authors: Febrianty Yenny , Sriwidodo Joko , Priyaldi Priyaldi
Published: September 2023

Local governments structure legislation into a policy rule regarding the protection of local wisdom that must be carried out due to globalization. Globalization is something that cannot be avoided. Its influence can become a problem or negatively impact fading cultural identity if the community wrongly addresses it. This is different if the community and local government can respond positively to globalization because this can increase the community's cultural identity. This paper focuses on the study of how local government policies maintain cultural traditions as a pearl of local wisdom? and what is the paradigm of the local government in establishing regional regulations regarding the protection of local wisdom. The approach method utilized is a socio-legal or socio-juridical approach. This research was carried out in the city of Pariaman, West Sumatra. The research data, both primary and secondary data, were analyzed qualitatively. Based on the research result, the concrete paradigm of the Regional Government in protecting the values of local wisdom is a regional legislation on safeguarding indigenous culture as a Pariaman community's local wisdom. It can be interpreted that the Regional Regulation is a concrete agreement towards the ideal concept of protecting local wisdom in the Pariaman community. The ideal concept seen from the substantive values of protecting Local wisdom's worth in the Pariaman community must be founded on sociological, philosophical, and legal considerations. These three factors prioritize or rank the values within this local wisdom.
Development of River Flow and Water Quality Using IOT-based Smart Buoys Environment Monitoring System
Authors: Nasution Subhan Fahmi , Harmadi Harmadi , Suryadi Suryadi , Widiyatmoko Bambang
Published: September 2023

Efficient and accurate river water quality monitoring is needed to support laboratory testing based on on-site sampling. Therefore, we have developed a monitoring system for river flow and water quality using sensor-equipped buoys and the Internet of Things (IoT) concept. An ESP32 NodeMCU microcontroller integrated with WiFi and compatible with Arduino IDE is used in the system. The buoy is equipped with GPS to determine the position and flow speed and sensors to measure water quality parameters of pH and temperature. Data on position, flow velocity, and water quality parameters are transmitted over a WiFi network using the MQTT protocol. The data is recorded by the buoy and uploaded and displayed on the adafruit.io platform. Positioning was done by comparing the values displayed on the Neo-6M GPS with the Maps application on the smartphone. The results show that the GPS coordinate values are accurate. The water quality parameter values obtained have an error rate of 3.3% for the pH sensor and 1.02% for the temperature sensor. Thus, the system we have developed has the potential to be used as a substitute for field sampling-based river water quality monitoring systems.
Particle Size Improvement and Layer Absorption of Metil Halida MAPbI3 Perovskite Doping Phenethylammonium Iodide (PEAI)
Authors: Anla Anla Fet Hardi , Dahyunir Dahyunir , Muldarisnur Muldarisnur , Amrullah Yasir , Sadikin Siti Naqiyah , Ridwan Jaenudin , Umar Akrajas Ali
Published: September 2023

This study aims to determine the effect of phenethylammonium iodide (PEAI) doping on grain size and absorption of the methylammonium lead iodide (MAPbI3) perovskite layer. The MAPbI3 perovskite layer is interesting to study because of its potential application in perovskite solar cells. In this study, the preparation of MAPbI3 perovskite layer with PEAI doping variation using a 2-step spin-coating method. The surface morphology of MAPbI3 shows an increase in grain size with the addition of PEAI doping variation. The optimum grain size is shown by adding 1.0 mg/ml PEAI doping variation, which is 117 ± 1.19 nm with a smooth surface morphology and tends to be homogeneous. X-ray diffraction (XRD) results on Perovskite MAPbI3 showed no difference in peaks with the addition of PEAI doping. However, there is only a slight angle shift of 2 theta, 0.05° at the main peak (110) and (220), so it will not change the cubic structure of MAPbI3 crystal. The ultra violet visible (UV-Vis) graph shows an increase in absorbance of Perovskite MAPbI3 with the addition of PEAI doping in the wavelength range of 400-550 nm. This research is expected to be a foundation for developing more efficient and stable solar cells.
Analisis Usahatani Bawang Daun (Allium fistulosum L.) di Kota Padang Panjang, Sumatera Barat
Authors: Fortuna Dwi Ayi , Raesi Syahyana , Yusmarni Yusmarni
Published: September 2023

Petani dalam melakukan suatu kegiatan berusahatani haruslah bekerja secara efisien dan penuh persiapan agar hasil usahatani yang mereka usahakan dapat mendatangkan keuntungan. Tujuan diadakannya penelitian ini adalah untuk mendeskripsikan kultur teknis dan permasalahan yang dihadapi dalam usahatani bawang daun di Kota Padang Panjang dan menganalisis besarnya pendapatan dan keuntungan dari usahatani bawang daun di Kota Padang Panjang. Analisis data yang digunakan adalah analisis deskriptif kualitatif dan kuantitatif melalui tingkat pendapatan, keuntungan, analisa R/C selama satu kali musim tanam. Hasil analisis usahatani bawang daun yang dilakukan oleh petani sampel didapatkan bahwa biaya yang paling banyak dikeluarkan oleh petani yaitu biaya pembelian mulsa plastik dan pupuk. Pendapatan yang didapatkan petani setiap musim tanamnya adalah sebesar Rp 12.718.622,63 per hektar usahatani sedangkan keuntungan yang didapatkan adalah sebesar Rp 9.044.931,73 per hektar usahatani dengan R/C senilai 1,55. Biaya total dari keseluruhan kegiatan usahatani per musim tanam mencakup biaya yang dibayarkan dan biaya yang diperhitungkan yaitu sebesar Rp 16.465.439 per hektar usahatani. Permasalahan pada usahatani bawang daun yang dilakukan oleh petani sampel yaitu dari berbagai faktor yaitu faktor iklim yang tidak menentu dengan curah hujan yang cukup tinggi, faktor harga yang tidak tetap, faktor budidaya yang tidak sesuai dengan buku ataupun panduan yang ada yang menyebabkan hasil produksi yang tidak maksimal, faktor kompetisi pemasaran, dan bantuan dari pemerintah setempat.
Analisis Pemasaran Ubi Jalar Manohara di Nagari Koto Tinggi Kecamatan Baso Kabupaten Agam
Authors: Permata Eggy Millenia , Usman Yusri , Hariance Rika
Published: September 2023

Pemasaran memegang peranan penting dalam sistem agribisnis, sebagai usahatani komersial pemasaran Ubi Jalar Manohara akan menentukan keberhasilan dan keberlanjutan usahatani petani. Penelitian ini bertujuan untuk (1) mendeskripsikan saluran, lembaga, dan fungsi pemasaran Ubi Jalar Manohara di Nagari Koto Tinggi, Kecamatan Baso, Kabupaten Agam, (2) menganalisis marjin pemasaran dan farmer’s share, serta (3) menganalisis efisiensi pemasaran. Metode yang digunakan adalah metode survey. Sampel yang digunakan dalam penelitian ini terdiri dari petani, pedagang pengumpul dan pedagang antar daerah. Pengambilan sampel petani dilakukan dengan metode pengambilan sampel secara sengaja (purposive sampling). Pengambilan sampel pedagang dilakukan dengan metode snowball sampling. Analisis data dilakukan secara kualitatif untuk tujuan pertama, dan analisis kuantitatif untuk tujuan kedua dan ketiga. Hasil penelitian menunjukkan bahwa (1) terdapat 3 saluran pemasaran Ubi Jalar Manohara, yaitu Saluran I :  Petani – Konsumen antara (Industri Pengolahan Stik ubi), Saluran II: Petani – Pedagang Pengumpul – Konsumen Antara (Pabrik Saus), Saluran III: Petani – Pedagang Pengumpul – Pedagang Pengecer – Konsumen Akhir yang melakukan fungsi pemasaran yang terdiri dari fungsi pertukaran, fungsi fisik dan fungsi fasilitas yang berbeda beda. (2) Nilai margin pemasaran terkecil terdapat pada saluran I, nilai farmer’s share terbesar terdapat pada saluran I (3) nilai persentasi efisiensi pemasaran terkecil terdapat pada saluran I. Disarankan kepada petani sebaiknya memasarkan Ubi Jalar Manohara mereka pada saluran I yaitu menjualkan ubi langsung ke industri pengolahan ubi, karena dari tingkat efisiensi pemasaran, saluran I lebih efisien dibanding saluran lainnya dan kepada pemerintah yang terkait diharapkan untuk dapat memberikan sosialisasi untuk memperluas agroindustri ubi yang mengolah ubi menjadi berbagai produk turunannya.