bluuebunny/crossref_metadata_2025 huggingface dataset:
Innovation of teaching methods of international Chinese language education in universities based on artificial intelligence analysis technology
Authors: Zhang Xiangli
Published: September 2023

Exploring the innovative teaching methods of international Chinese language education in colleges and universities under the new media environment is to transmit better and develop Chinese culture. This paper constructs an international Chinese language education platform using graph convolutional neural network, RNN algorithm, and long and short-term memory neural network combined with big data technology under artificial intelligence analysis technology and gives that the platform consists of an infrastructure layer, data resource layer, application service layer, and user business layer. The plurality and interactivity indexes are analyzed for the constructed international Chinese education platform. Regarding plurality, A, B, C, and D ratings account for 40.82%, 35.4%, 14.71%, and 9.07%, respectively. Regarding interactivity, the percentage of overall user evaluation data above grade C is 93.4%. This shows that building an international Chinese language education platform can effectively enhance the diversified development of Chinese language education and meet the learning needs of diverse people. The international Chinese education platform uses strong interactivity to achieve communication between users and realize the development of Chinese culture transmission.
A Study on Innovative Strategies for Teaching English to College Students Based on Knowledge Mapping
Authors: Wang Lun
Published: September 2023

This paper proposes a personalized teaching method based on knowledge mapping and the commonly used personalized learning methods. A web crawler is used to crawl English exercises data on the Internet and classify them according to the knowledge categories, establish the connection between topics according to their cosine similarity, and build an English knowledge graph using NEO4J. After creating the knowledge map, a select few nodes are categorized with labels that reflect the characteristics of various pupils, and the node categories are divided into two categories: mastered and unmastered, after which the whole knowledge map is labeled using a graph convolutional neural network to generate a personalized knowledge map. After testing, the model works best when the threshold value is increased to 0.8 when generating the English knowledge map. And the overall English score of the experimental class taught with this paper’s method improved by 5.27 points, among which the average scores of completion, writing, and reading increased by 2.58, 1.32, and 1.17 points, while the overall English level of the control class did not change significantly. As a result, the approach used in this research to create tailored learning routes based on personalized knowledge mapping has excellent applicability.
Application of machine learning based models in computer network data
Authors: Liu Huixia
Published: September 2023

Computer networks, as one of the indispensable infrastructures in today’s world, play an extremely important role in industrial production and daily life. This paper revolves around the intelligent diagnosis of computer network data faults using machine learning methods. Firstly, the support vector machine network fault minimization principle is proposed based on the machine learning model, which leads to under-learning or over-learning when the samples are limited, or there is noise. Then, a loss function is introduced for the under-learning or over-learning problem to ensure that the support vector machine can accurately achieve fault diagnosis. Finally, the evaluation index of computational network fault diagnosis is constructed for the experimental purpose, and four algorithms are selected as the experimental control group to analyze the data. It is obtained that SVM and ANN models have high DR and low FAR. Their DR is 87.9% and 84.5%, respectively, while their FAR is only 5.4%. This further validates the superiority of SVM in computer network data fault detection. This study possesses low training time complexity and can overcome the problem of uneven distribution of the number of faulty and normal samples in network fault diagnosis to some extent.
Design of teaching quality evaluation system for higher vocational education based on data mining technology
Authors: Li Yuanai
Published: September 2023

It is advantageous for schools to realize exact education management, the cornerstone for developing abilities, by constructing higher vocational education teaching quality evaluation systems. The division of frequent item sets based on the modified Apriori algorithm under the association rule algorithm is used for the evaluation algorithm of this system to examine the evaluation data in the evaluation system, which is created in this work using data mining technology. Data validation was carried out from system performance and application analysis of association rules for the teaching quality evaluation system constructed in this paper. Regarding system performance, the highest response time of the system in this paper is 8.34s, which is about 56.94% and 40.68% shorter than that of the evaluation system based on AHP and gray correlation theory, respectively. This shows that using association rule algorithms can realize the operation of the evaluation system faster, improve evaluation efficiency, and use visual data to achieve precise education management in schools.
Electromyographic characterization of limb flexion, extension and their special exercise movements in high level distance runners
Authors: Zhang Shichao
Published: September 2023

The study of EMG characteristics of high-level distance runners in limb flexion, extension, and their special exercise movements is beneficial to developing competitive distance running sports. In this study, high-level distance runners were used as the research object, and the sEMG test in EMG analysis was used to compare the general distance runners, and the changes of MPF, FC, and IEMG were obtained during the limb flexion, extension, and special exercise movements of high-level distance runners. When the FC was 100Hz, the MPF values of high-level distance runners were 64MV2/Hz, while the MPF values of average-distance runners were 45 MV2/Hz. When the muscle strength reached 50%, the IEMG values of rectus abdominis, biceps femoris, and gastrocnemius were 52%, 45 and 56%, respectively, in high-level distance runners, while the IEMG values of average distance runners were 47%, 42%, and 50%, respectively and 50%, respectively. Through the data analysis, the high-level long-distance runners could maintain a higher exercise state and perform at a stable level despite the gradual muscle fatigue, their muscle strength and contraction ability were stronger, and their explosive muscle power and potential were greater than the average long-distance runners.
Research on the analysis of traditional music tunes in the context of network information technology
Authors: Ma Xintao , Wang Dongmei
Published: September 2023

People’s traditional music passed down from generation to generation should be heard by the world, and music tunes, as one of the indispensable basic elements of traditional music, need to be studied more deeply and systematically. In this paper, based on modern network information technology, we use big data visualization technology to analyze and study traditional music tunes. Using the RGB color space principle to understand the visualization technology, the number of research literature related to traditional music tunes in the past 20 years is obtained through literature collation, and the chart way of visualization using Sankey diagrams is analyzed to conclude traditional music tunes research. The data show that most research literature on traditional music tunes features an average of 6 articles per year. The number of ephemeral articles has gradually increased over the decade, with the total effective number of articles being about 7 in 2002 and increasing to about 39 in 2022. The research institutions are mainly concentrated in many universities in Henan, Yunnan, Hunan, Guangdong, and Guangxi, but the main traditional music tunes studied in each place also Have differences. The research on traditional music tunes by universities has a guiding and leading role, and the increase and depth of related research literature are also conducive to the protection and inheritance of traditional music tunes and integration and innovation in each region.
Cluster control technology of transmission line intelligent inspection drones based on 5G communication
Authors: Zhang Ying , Zhu Ling , Liao Ruchao , Zhang Feng , Chen Yun
Published: September 2023

This paper firstly analyzes the network topology model of the UAV cluster network and wireless 5G communication channel model by modeling and briefly analyzes the idea of topology movement control for flying self-organized networks. Then, a cluster-based structure and reinforcement learning clustered routing protocol is proposed for the problem of easy breakage of routing forwarding paths caused by smart inspection of transmission lines based on UAV clusters for 5G communication. Finally, a cluster structure-based precedence routing protocol is designed, an adaptive routing protocol based on location and link quality Q-learning is used between clusters, and fast and reliable routing is achieved by combining the routing table maintained by itself. The simulation results show that ARP-L-Q (average end-to-end delay 4.22, average packet loss rate 88.09%, average packet rate 2.37, average control overhead 2.52) protocol performs better than GPSR and GACB protocols, and the experiment verifies that ARP-L-Q protocol can better achieve the high dynamic reconfiguration, high stability and reliability, and low communication delay of UAV cluster-based 5G communication network. Characteristics and requirements. This study has application prospects in both civil emergency and military mobile communication and has certain military significance, theoretical value and application value for thus promoting UAV innovation.
Optimization of the innovation path of practical teaching of college Civics based on VR technology under information fusion technology
Authors: Si Yang
Published: September 2023

With the rapid growth of computer technology and multimedia technology, VR technology is regularly developed and applied to entire walks of life. This paper first introduces the VR double master teaching model into the practical teaching of Civics in colleges and universities (CU) and analyzes the shortcomings and limitations of the traditional teaching design scheme. Secondly, under the guidance of constructivist learning theory and contextual cognitive theory, as well as the basic theory of humanistic theory, combined with the characteristics of venue learning, and also with the implementation of gesture interaction technology and face expression detection technology with the help of depth sensors, a teaching design scheme with immersion and interactivity based on red VR venues is designed. The results show that the response time of logging into the business through the performance test of the VR Civics teaching system is 5.239s - 3s, and the thinking time is 2.271 s, which is in line with the result of logging in less than 3 s. Moreover, the Civics performance of students taught through VR has improved by 11.2 percentage points, and the teaching effect and system performance are in line with the practice expectation. It shows that the virtual reality technology proposed in this paper and Civics teaching have achieved an effective combination and realized the fundamental purpose of implementing moral education.
Optimization study of intelligent decision-making system for coal processing plant based on big data analysis
Authors: Zhang Jianhua , Li Rui , Wang Lin
Published: September 2023

Optimizing the intelligent decision-making system of coal processing plants is better to improve the economic efficiency of coal processing plants and realize the high-quality development of coal processing plants. In this paper, an integrated intelligent decision-making platform for a coal processing plant is constructed based on big data technology, and the intelligent data analysis techniques of the platform are optimized by using an improved whale optimization algorithm and BP neural network. Examples analyze the optimized crude coal slurry and flotation systems’ processes, and the economic benefits are analyzed. From the optimization of the crude coal slurry sorting system, the ash content in the 0.25mm particle size region was reduced from 55.37% to 13.12%, and the ash content in the −0.125mm particle size region was reduced from 42.68% to 15.96%. From the flotation system optimization, when the flotation time increases from 120s to 180s, the ash content increases from 16.27% to 17.19%, and then to 240s, the ash content increases to 19.44%. Using the integrated intelligent decision-making platform can achieve a net increase in revenue of 4,276,800 yuan for the crude coal slurry sorting system and a net increase of 11,274,200 yuan for the flotation system. This shows that the integrated intelligent decision-making platform can improve the coal processing plant’s quality and efficiency and promote intelligent production.
Analysis of Intelligent Control Strategy for Heavy Media Coal Separation Process Based on Deep Learning Model
Authors: Wang Yu , He Jiexin , Bai Dongyan
Published: September 2023

Intelligent control of heavy dielectric coal beneficiation in coal plants is achieved with the help of deep learning models to optimize the control effect. In this paper, through the study of heavy dielectric coal separation methods and processes, a coal separation control optimization strategy based on a radial basis neural network optimized by the ant colony algorithm is proposed, and the RBF network is optimized by clustering using ant colony algorithm, which is used to determine the center and radius of the basic function of the RBF network. The suspension density, ash content of the fine coal and the level of the Hopper bucket, which affect the control effect, are selected as the inputs of the optimized model, and the control strategy is formulated according to the effect after adjusting the parameters. The experimental simulation results show that the ACO-RBF model has less oscillation when the ash value is changed, the final change is smoother, and the root mean square error of the ash value is 0.075%, which is 36.6% less than that of the PID algorithm. With the control strategy optimized by deep learning, the fluctuation range of the level of the qualified media barrel is controlled between 15 and 25 cm, and the volatility pattern of the level is more regular. The control system based on deep learning can better meet the requirements of the coal processing process and effectively improve the efficiency of a coal processing plant.
Optimization of smart tourism destination management based on linear regression model
Authors: Ma Yue , Wang Yan
Published: September 2023

With the rapid development of Internet communication technology, the tourism industry will certainly transform and upgrade to the direction of wisdom, and the organization and dissemination of tourist destination information will become a breakthrough in tourism development. This paper firstly constructs a tourism management system (DMS) in line with the idea of smart tourism development by constructing a process line from market opportunity analysis, interest motivation analysis, strategic planning stage, strategy implementation stage and evaluation improvement stage, respectively. Secondly, the evaluation model of tourism destination development based on logistic regression is systematically constructed, and the parameter estimation method is used to estimate the value for 8 influencing factors that affect the development of tourism destinations. The results show that through the empirical analysis of the Guizhou smart tourism destination management system, it is found that the AUC value shows an increasing trend, and the 5km grid has the smallest AUC value. When the grid continues to increase, the AUC value shows a decreasing trend, slowly decreasing from 0.836 (20km) to 0.844 (25km). It shows that the intelligent tourism destination management system constructed in this paper is reasonable and lays the theoretical foundation for realizing regional barrier-free tourism and achieving the development goal of integrated symbiosis.
The use of graphic design elements in commercial architectural design in the context of intelligence
Authors: Song Yimin
Published: September 2023

In this paper, firstly, in the context of intelligence, using techniques such as hierarchical features, local perceptual field, weight sharing, and spatial subsampling make the convolutional neural network with representational learning ability, certain translation, scaling, and deformation invariance, which can accurately extract the features of target objects in graphic design elements. Next, the network structure, loss function, and optimization methods of MaskR-CNN are analyzed, and the MaskR-CNN convolutional neural network is implemented based on the TensorFlow framework, and the network is applied to the extraction of buildings from graphic design elements. Then the borrowed landscape technique in graphic design is used to enrich the combination form of elements of architectural design through the mirror effect of water landscape. The selected IALD dataset is composed of 180 data images and 180 corresponding labeled images, and the effect of high-resolution building extraction of graphic design elements based on the MaskR-CNN model is verified by simulation experiments. The simulation results show that Mask R-CNN improves the accuracy of building extraction from graphic design elements by 5.11%, mAP also improves by about 10.09%, and the inference time is less than 1 second; Mask R-CNN has good robustness and accuracy for building extraction from graphic design elements. This study has important research significance for the depth and development of the commercial architectural design.
A study on the measurement and standardized assessment model of student learning outcomes in vocational institutions
Authors: Zhao Minxiao
Published: September 2023

As society requires a deeper understanding and demand for the actual abilities of students in higher education institutions, traditional assessment tests no longer meet the current needs. This paper first divides assessment techniques into two main categories from an application perspective: assessment of student learning performance and in-depth cognitive diagnosis. Students are automatically provided with appropriate learning content based on their ability level and learning style, providing them with accurate and timely feedback. Secondly, a new fuzzy inference model is proposed to determine students’ student outcomes by addressing the obvious shortcomings of the fuzzy sets usually used for student outcome assessment. Finally, the validity and usefulness of its assessment model are verified by the student learning performance on a real data set. The results show that the fuzzy inference assessment model designed in this paper can obtain an assessment accuracy of 85.8% for the learner’s learning outcomes, which has a good assessment effect. And the fuzzy inference assessment model also retains the greatest advantage of linear fitting regression, which reflects the correlation between the parameters of students’ learning behaviors and the final learning outcomes. The assessment method based on the fuzzy inference model predicts learners’ learning risks and provides learning interventions in advance for smart learning, and also provides new ideas for deepening education reform.
Innovative exploration of the implementation path of teaching reform of law courses based on Internet technology
Authors: Fang Anan
Published: September 2023

The teaching reform of law courses is to further enhance the development speed of the law education business. In this paper, a practical teaching platform for law courses is constructed based on Internet technology, and context-aware class case matching is performed by using word embedding of the BERT network and contextual information extraction of the Bi-LSTM model. Then the local semantic feature extraction by CNN network and collaborative filtering algorithm based on user preferences are used to achieve intelligent recommendation analysis of law course cases, and experimental simulation analysis is conducted for the teaching platform and recommendation algorithm. In terms of platform performance, the average response time is 24.5ms, which is 12.67% and 26.99% less than that of the Mucuo platform and Tencent Classroom, respectively. From the recommendation algorithm, the accuracy of recommendation based on students’ preferences is 68%. This shows that the practical teaching platform of law courses can be the implementation path of law teaching reform in the Internet era.
Research and reflection on college physical education classroom teaching based on SSGAN model
Authors: Liao Yubing
Published: September 2023

Teaching behavior recognition has a wide range of applications in the smart classroom and is one of the important means to achieve educational intelligence. To improve the performance of indoor teaching behavior recognition using CSI in complex scenes, this paper proposes an indoor teaching behavior recognition algorithm based on multi-feature fusion MLSTM by eliminating background noise to circumvent the influence of the experimental environment on CSI. To address the problem, the model cannot generalize in recognizing new users, and the labeled samples of new users are difficult to obtain in large quantities in a short period of time. In this paper, a new user recognition algorithm based on the SSGAN model is constructed, and then the input and output of MLSTM are modified as the discriminator of SSGAN to improve the recognition performance of the model for new users by semi-supervised learning. The recognition accuracy of the M-LSTM model on the sports, daily, and dance datasets is 0.985, 0.966, and 0.944, respectively, and the recognition accuracy of the SSGAN model on the three datasets is also around 90%, as verified by different experiments. The p-value is less than 0.05, and the student’s interest in physical education in the experimental group is 2.6 times higher than that in the control group. Therefore, the model proposed in this paper has good practicality.
Analysis of intelligent agent operation strategy of power system scheduling based on intelligent optimization algorithm
Authors: Zuo Jian , Yang Minjing , He Xiangzhen , Bao Bo , Yang Yun , Wu Guobing , Lan Xuanli , Liu Feng
Published: September 2023

This paper first explores the basic process and characteristics of the intelligent algorithm, calculates its fitness function after setting and initializing the intelligent algorithm population, and iterates continuously to obtain a satisfactory optimal solution on the basis of the initialized stochastic solution. Then the optimization of the firefly algorithm is studied. After initializing the firefly population, the random attraction model and the probability factor are introduced to optimize the algorithm. Then, the power scheduling intelligent agent strategy is studied in depth, and the structure and operation process of the intelligent agent operation strategy is determined, as well as its application areas are studied. Finally, the effect of grid load forecasting by power dispatching intelligent agents is analyzed and compared before and after the application of intelligent agent operation strategy in the power system. In terms of grid load prediction accuracy, the actual and prediction errors are basically between 0.02-0.16, which is very close to the actual value. In terms of user satisfaction, the previous user satisfaction was basically 0.75-0.8, and the maximum satisfaction was basically increased to more than 0.9 after applying the intelligent agent operation strategy. The intelligent agent operation strategy based on an intelligent optimization algorithm can effectively dispatch the power system and improve user satisfaction.
Research on Hazard Analysis and Control Strategy of Power System Dispatching Operation Based on Information Fusion Technology
Authors: He Xiangzhen , Zuo Jian , Yang Yun , Zhang Shuiping , Yang Minjing , Chen Yixing , Lan Xuanli , Liu Feng
Published: September 2023

In this paper, a decision model for grid fault diagnosis based on multi-source information fusion is established, and the probability of component fault is obtained by using the change of switching quantity characteristic information and electrical quantity characteristic information during grid fault, and the static fault degree obtained by switching quantity information and the voltage and current energy distortion degree and fault degree obtained by electrical quantity information is used as independent evidence bodies, which are fused by improved D-S evidence fusion technique, and the fused The results are decided by improved fuzzy C-mean decision model to finally determine the fault components. Then, the optimal control of the grid is studied, and the corresponding self-healing control model is established according to the different operating conditions of the system so as to propose a self-healing control strategy of the microgrid based on the improved particle swarm algorithm. After analysis and verification, the accuracy of the grid fault diagnosis method proposed in this paper reaches 0.9681, and the diagnosis results are consistent with the pre-defined fault elements compared with FCM. The system network loss decreases from 0.146 kW to 0.031 kW, and the maximum power supply capacity increases from 1.574 to 2.468 after using the improved particle swarm algorithm-based microgrid self-healing control strategy. Therefore, the method in this paper can improve the reliability of grid operation and resist the risk of accidents.
Intestinal endoparasitism in wild cat (Felis silvestris) from Banat area (Romania)
Authors: Mederle N. , Darabus G. , Stancu A. , Pentea M. , Imre M. , Luca I. , Pavlovic I. , Zdravković N.
Published: September 2023

The wild cat (Felis silvestris), spread in Romania from the Danube Delta to the mountain range is present in the Banat area, on the hunting ground that can be contaminated with different stage developmental forms of parasites, some of them having real zoonotic potential. The wild cat is an animal protected by the Romanian law of protection animals.

Coprological samples from 88 wild cats from 16 hunting grounds, as well as the gastrointestinal tract collected from six wild cats cadavers and the molecular characterization of the cestodes identified in their intestines, allowed us to establish intestinal parasitic fauna. During coprological examination Isospora oocysts, tapeworm eggs, eggs of Toxocara cati, Ancylostoma spp. and Capillaria spp were found. At the same time, the form of genera Mesocestoides, Taenia, Toxocara/Toxascaris and Ancylostoma were identified at necropsy. Further polymerase chain reaction (PCR) identification revealed the species of Taenia taenieformis, and Mesocestoides litteratus, the latter providing a zoonotic potential.

This study, the first in the western part of the country (Banat area, Timis County), provides information about the parasitic fauna of wild cats and underlines the importance of the human contamination risk.
Anthelmintic effects of peppermint (Mentha piperita), lemon (Citrus limon), and tea tree (Melaleuca alternifolia) essential oils against Monogenean parasite (Dactylogyrus sp.) on carp (Cyprinus carpio)
Authors: Harmansa Yilmaz B. , Yavuzcan Yildiz H.
Published: September 2023

Dactylogyrus sp. (Monogenea) is one of the most dangerous pathogens causing parasitic infections in carp (Cyprinus carpio) and other freshwater fish. Due to the adverse effects of conventional chemical treatments on the environment and fish, the use of herbal products in aquaculture against various diseases has increased. In the present study, anthelmintic effects of peppermint (Mentha piperita), lemon (Citrus limon), and tea tree (Melaleuca alternifolia) essential oils against Dactylogyrus sp. found on the gills of carp were studied using in vitro and in vivo experiments. In in vitro experiments, 1, 2.5, 5, and 10 μl/ml concentrations of these essential oils were tested on the parasites and cumulative mortalities were observed to reach 100 % after treatment with peppermint, lemon, and tea tree essential oils of 1 μl/ml concentration in approximately 15, 10 and 2 min, respectively. The in vitro experiments demonstrated that the cumulative mortality of the parasites increased with essential oil concentration and exposure duration. As the concentration of essential oil used increased, the observed mean time to death of parasites decreased. In in vivo experiments, median effective concentrations (EC50) as assessed by in vitro tests for peppermint and lemon essential oils in 5 min exposure and EC50 concentration for tea tree essential oil in 2 min exposure was applied on fish as a single bath and there was a significant decrease in the mean parasite intensities (p<0.05). Antiparasitic efficacies of peppermint, lemon, and tea tree essential oils were determined as 28.23 %, 30.95 %, and 35.31 %, respectively. The tea tree oil was the most effective and peppermint oil was the least effective in both in vitro and in vivo experiments. All three herbal essential oils tested in this study have weak antiparasitic potential against monogenean infections in fish.
Measuring Learning Loss Due to Disruptions from COVID-19: Perspectives from the Concept of Fractions
Authors: Lestari Mulia , Johar Rahmah , Mailizar Mailizar , Ridho Ali
Published: September 2023

Ineffective learning during Covid-19 can be a major cause of learning loss. Through polytomous item response theory analysis, this study seeks to identify learning loss of fractions and investigate the reliability and validity of the DINA model diagnostic test. This study involved 177 Grade 8 students from six junior high schools in Banda Aceh, Indonesia, to obtain information about the validity and reliability of the diagnostic test and learning loss of fraction due to Covid-19. The research was conducted by designing diagnostic test, expert validation, and empirical testing. Multiple choice problems with polytomous options were developed. This study produced 20 valid problems based on the level of item discriminant, item difficulty, and slip and guess, with a reliability of 0.899. This study revealed that learning loss was experienced by 62 students from low-level junior high schools (100%), 51 students from middle-level junior high schools (98%), and 54 students from high-level junior high schools (85.7%). It can be said that low-level schools have the highest percentage of students with learning loss. It is recommended that future studies evaluate the effectiveness of diagnostic tests in identifying learning weaknesses in mathematics before semester exams using the items generated in this study.
Students’ Mathematical Representation and Communication Ability in Mathematics Problem Solving
Authors: Tupamahu Pieter Zakarias , Ratumanan Tanwey Gerson , Laamena Christina
Published: September 2023

In learning mathematics, representation and communication ability are required by students to solve problems. The ability to represent is crucial for students to simplify the learning process, while students who have good mathematical communication abilities can easily solve a problem. This study applied a sequential mixed methods approach. Quantitative data was obtained from the results of the written test, then the ability of mathematical representation and communication in solving problems on linear program material was analyzed qualitatively. The participants of this study were 59 students from one of the senior high schools in Ambon, Indonesia. The research phase was begun with students being asked to solve mathematics problems and then researchers analyze representation and written communication ability. The largest percentage of students' results on the test was in the very low category of mathematical representation and communication ability. The results showed that students who had good representation and communication abilities would be able to solve problems. There were significant correlations and a very strong correlation between mathematical representation and communication ability with a Pearson Correlation coefficient of 0.915. After obtaining the test result, subjects were selected based on the category of ability to conduct interviews. Based on the results of the interview, the mathematical representation ability that the subject uses well will directly involve mathematical communication skills well, and vice versa.
Pengolahan Nugget Ayam dan Penerimaannya Melalui Uji Organoleptik di Desa Krueng Lam Kareung Kecamatan Indrapuri Aceh Besar
Authors: Hayati Rita , Mayani Nanda , Husna Rika , Sulaiman Ismail
Published: September 2023

Nugget banyak diminati oleh masyarakat karena dinilai praktis dan mempunyai nilai gizi yang cukup tinggi. Minat yang tinggi menyebabkan tingginya konsumsi nugget. Konsumsi makanan dipengaruhi oleh kebiasaan makan, perilaku makan, dan keadaan ekonomi. Mutu produk makanan seperti nugget ayam sangat dipengaruhi oleh beberapa faktor antara lain rasa, warna, tekstur, nilai gizi, dan mikrobiologisnya. Warna merupakan faktor pertama penentu mutu nugget ayam secara visual yang memegang peranan penting terhadap penerimaan konsumen, hal ini disebabkan karena warna merupakan salah satu karakteristik organoleptik yang paling mudah terdeteksi oleh konsumen dibandingkan dengan karakteristik organoleptik lainnya seperti aroma dan tekstur. Kegiatan Pengabdian ini bertujuan untuk pengolahan nugget ayam dan penerimaannya melalui uji organoleptik Di Desa Krueng Lam Kareung Kecamatan Indrapuri Aceh Besar.Hasil kegiatan pengabdian adalah 1. Nugget ayam yang memiliki kualitas baik dari segi penampilan, warna, tekstur dan rasa sehingga mempengaruhi penampilan dari produk-produk olahan, 2.   Menghasilkan diversifikasi makanan berbasis ayam, 3.Menjadikan produk olahan pangan dan dapat menjadi salah satu alternatif yang dikaitkan dengan kesehatan, 4.Meningkatnya antusiasme para pengolah bahan makanan dan kelompok ibu-ibu PKK  serta  masyarakat  untuk  meneruskan  kegiatan  ini setelah pengabdian masyarakat berakhir, 5.Meningkatnya  wawasan  para kelompok pengolah makanan  dan  kelompok  ibu-ibu bahwa kegiatan ini dapat menjadi alternatif sumber pendapatan keluarga, 6.    Menghasilkan produk-produk lainnya yang berbasis olahan daging ayam, 7.       Produk pangan berbasis ayam ini yang dihasilkan dapat menginspirasi para produsen untuk menciptakan produk baru yang sebelumnya belum dikenal.
Edukasi Sistem Jaminan Halal dan Pengurusan Sertifikat Halal Bagi UMKM “Tentang Rasa”
Authors: Annisa Yulia , Muzaifa Murna , Widayat Heru Prono , Safriani Novi
Published: September 2023

Sertifikasi halal berfungsi untuk menghilangkan keraguan konsumen terhadap kehalalan produk makanan yang dihasilkan oleh pelaku usaha (produsen). Kegiatan pengabdian kepada masyarakat bertujuan untuk meningkatkan pengetahuan pelaku usaha mengenai sistem jaminan halal, serta mengedukasi pelaku usaha mengenai proses penyusunan dokumen Sistem Jaminan Halal dengan harapan dapat mendaftarkan usaha atau produknya untuk mendapatkan sertifikat halal. Mitra yang dilibatkan dalam kegiatan ini adalah UMKM Tentang Rasa yang beralamat di Jl. Teuku Nyak Arief, Darussalam, Banda Aceh. Untuk mengetahui tingkat pemahaman dan keberhasilan kegiatan pengabdian, dilakukan pretest dan posttest terhadap pelaku usaha sehingga dapat langsung diketahui pemahaman peserta terhadap materi pengabdian. Berdasarkan hasil wawancara yang dilakukan setelah pengabdian diketahui bahwa pelaku usaha Tentang Rasa memiliki peningkatan pemahaman tentang sistem jaminan halal dengan menunjukkan keinginan untuk segera mendaftarkan unit usahanya agar bisa mendapatkan sertifikat halal.
Students' perceptions of higher education courses and instructors before and during Covid-19:
Authors: Ferreira Marta Campos , Silva António Ramos , Camanho Ana Santos
Published: September 2023

The recognition of Covid-19 as a global pandemic in March 2020 forced the closure of schools and universities around the world, raising the need to adopt emergency teaching methods. A year and a half later, the situation is still not resolved, but there is more data that allow us to understand the real impact. This study presents a comprehensive analysis of higher education students perceptions about courses and faculty during the last 5 years (2016-2021), with a special focus on the differences in perception between the pre-Covid-19 and the during Covid-19 phases. To this end, the pedagogical surveys that are answered by students from an engineering degree at a Portuguese university at the end of the first and second semester of the academic year are analyzed. The results allow us to identify two distinct moments in the Covid-19 phase: a first in which feelings of positivism and appreciation of students for the instructors and the courses they teach stand out, and a second moment in which students become more demanding and dissatisfied with the courses and with the instructors, leading to a lack of motivation and involvement of students.
Optical Camera Communications and Machine Learning for Indoor Visible Light Positioning
Authors: Pereira Celso
Published: September 2023

The paper was withdrawn by author's request.
Организационные аспекты мероприятий гастрономической направленности на туристском рынке г. Владивостока
Authors: Шеметова Елена Васильевна , Крячко Дарья Павловна
Published: September 2023

В статье исследованы особенности организации гастрономических мероприятий на туристском рынке г. Владивостока. Современные реалии демонстрируют возросший интерес туристов не только к визуальным впечатлениям, но и к вкусовым путешествиям. Событийные мероприятия кулинарной направленности являются важной составляющей гастрономического туризма, а неповторимые пищевые ресурсы (рыба, морепродукты, дикоросы и пр.) характеризуют аутентичность дальневосточной кухни. Цель работы – на основании теоретических и практических материалов определить организационные аспекты мероприятий гастрономической направленности на туристском рынке г. Владивостока. Методической основой работы является сегментирование рынка на основе классификации гастрономических мероприятий г. Владивостока, сравнительного и статистического анализа, опроса и систематизации. В ходе работы определены объекты гастрономического туризма, цели и категории потребителей гастрономических мероприятий, выгоды для производителей гастрономических ресурсов и проработаны теоретические аспекты организации событийных мероприятий гастрономической направленности. По результатам исследования определены форматы кулинарных мероприятий и их организаторы на рынке г. Владивостока, выявлена заинтересованность потребителей в региональной кухне. Научная новизна обеспечена уточнением ресурсной базы региона для формирования программ гастрономических мероприятий, а также сегментированием мероприятий в зависимости от формата их проведения. Практическая значимость работы заключается в разработке модели организации мероприятий гастрономической направленности. Данные рекомендации могут использоваться организаторами на всех этапах проведения гастрономических мероприятий. Ключевые слова: гастрономический туризм, гастрономическое мероприятие, событийное мероприятие, организатор мероприятия, фестиваль, предприятие общественного питания, кулинарный мастер-класс, г. Владивосток.
Особенности современного российского потребителя (на примере молодежи г. Владивостока)
Authors: Коноплёва Нина Алексеевна , Рыбас Елена Олеговна
Published: September 2023

В современной России в связи с трансформационными процессами в политике, культуре и экономике постоянно изменяется рынок и запросы потребителей. Подобная динамика обусловливает необходимость постоянного приспособления специалистов сервиса к изменяющимся обстоятельствам, а также актуализирует исследования не только потребностей клиентов, но и их психологического своеобразия, выявления особенностей их типологии, чтобы в дальнейшем обеспечить конкурентоспособность сервисных организаций, успешность в мотивировании потребителей, формировании их лояльности. Ключевые слова: потребитель, типология потребителя, мотивационно-потребностная сфера, «портрет» современного российского потребителя.
Специфика описания категории пространства в китайской языковой картине мира (на материале фразеологизмов китайского языка)
Authors: Борзова Татьяна Александровна , Ли Хуэй
Published: September 2023

Каждый народ на протяжении своей истории, создавая свою собственную культуру, формулировал и свои собственные представления об устройстве мироздания. Пространство является одной из категорий, демонстрирующих специфику мироустройства. Соответственно, представления о пространстве являются важнейшими категориями национальной культуры, так как именно они определяют бытие самого человека, социума, в котором он существует, и всего окружающего мира. Пространство – одна из категорий, которая существует вне сознания человека и, следовательно, не зависит от него. Актуальность темы статьи обусловлена выбранным аспектом исследования – особенностью рассмотрения пространственных отношений в китайской языковой картине мира. Выбор данной темы обусловлен недостаточностью исследования категории пространства в системе китайского языка. При очевидной актуальности и высокой проработанности отдельных аспектов данной темы, она тем не менее остается мало изученной. Особый интерес вызван спецификой языкового материала – на примере фразеологизмов китайского языка обозначить национально-культурную специфику категории пространства. Предметом исследования послужила национально-культурная специфика фразеологизмов со значением категории пространства в китайском языке. Цель работы – исследовать, как категория пространства отражается во фразеологии китайского народа. Авторам статьи удалось впервые представить подробный лексико-семантический анализ фразеологических единиц, отражающих национально-культурную специфику пространственных отношений в китайском языке. Результаты проведенного исследования могут быть использованы в практике преподавания: китайского языка как иностранного; дисциплин, связанных с историей и культурой Китая, межкультурной коммуникацией; теории и практики перевода. В ходе работы над статьей использовались следующие методы и приемы исследования: приём сплошной выборки, приём частичной выборки, приём частотно-статистической характеристики материала, прием простого количественного подсчета, метод компонентного анализа, описательно-аналитический метод и его составляющие: обобщение, интерпретация и классификация. В процессе исследования было выявлено, что модель традиционных китайских пространственных представлений имеет несколько срезов, в которых можно найти аналогии биологическому пространству. Ключевые слова: китайский язык, языковая картина мира, фразеология, категория пространства, Дао, классификация, биологическое пространство.
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Authors: Revista de Arqueologia
Published: September 2023

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Forte de Óbidos, uma unidade de defesa na conquista do norte do Brasil
Authors: Lucena Veleda
Published: September 2023

O início da colonização do Norte do Brasil está relacionado à conquista e à exploração direta dos recursos naturais. A fixação portuguesa na região foi movida, em grande parte, pela necessidade de garantir a posse do território e evitar a evasão de bens. Muitos dos assentamentos coloniais originaram-se de postos avançados de conquista ou de defesa. O Forte dos Pauxis (século XVII) e o de Óbidos, que o sucedeu (século XIX), representam uma unidade funcional do subsistema de defesa do sistema colonial português no Brasil. Efetivamenle, a estrutura arquitetônica remanescente foi aquela construída no século XIX. O assentamento do forte no estreito de Óbidos, no século XIX, atendia ainda a condição estratégica da área, que fora observada o séc. XVII. Por seu traçado, o Forte revela profundas diferenças com a grande maioria das estruturas de defesa remanescentes no Nordeste do Brasil. Construído sob novas concepções de técnicas de defesa, e sob o impacto do desenvolvimento das armas raiadas, o Forte de Óbidos permite, através do estudo arqueológico, avaliar-se importantes aspectos, omissos na parca documentação textual até o momento conhecida. São aspectos quanto a adoção de técnicas da arquitetura militar, ao uso de armamentos, velocidade de difusão de artefatos importados, e sobretudo questões relacionadas à alterações de função, ao longo do tempo, e modificações na estrutura arquitetônica. A comunicação discute os principais tópicos que serão desenvolvidos neste projeto de pesquisa, e busca suscitar a troca de experiências desenvolvidas em outras áreas.
The Control of Neuroendocrine Mechanisms in Livestock to Facilitate Adaptation to Stress
Authors:   Department Of Veterinary Physiology And Biochemistry, Lala Lajpat Rai University Of Veterinary And Animal Sciences, Hisar, Haryana, India, Kanwar Arushi
Published: September 2023

This article discusses the concept of stress in animals, which is a complex set of physiological and behavioral responses to aversive stimuli.
Penerapan Algoritma Decision Tree untuk Ulasan Aplikasi Vidio di Google Play
Authors: Kharisma Ivana Lucia , Septiani Dhea Ayu , Fergina Anggun , Kamdan Kamdan
Published: September 2023

Aplikasi berbasis video streaming atau siaran langsung menjadi jenis aplikasi paling banyak digunakan di dunia. Video On Demand merupakan sistem interaktif yang memungkinkan kita memilih konten video yang akan ditonton. Vidio adalah portal online atau situs web streaming video yang didirikan pada tahun 2014. Situs web ini memungkinkan pengguna untuk menonton dan menikmati berbagai video dan layanan lain. Namun, berdasarkan ulasan di Google Play, Vidio mendapatkan rating rata-rata hanya sebesar 3.7 dari 623.000 lebih total ulasan. Hal tersebut yang mendorong dilakukannya penelitian ini. Data yang dikumpulkan adalah sebanyak 1000 data pada rentang waktu 2 Februari 2023 – 19 Februari 2023. Data tersebut diklasifikasikan ke dalam sentimen positif dan negatif menggunakan algoritma Decision Tree atau Pohon Keputusan. Berdasarkan 3 skenario pembagian data, didapatkan akurasi terbesar diperoleh dari pembagian data 80% data latih dan 20% data uji yaitu sebesar 97.3%. sedangkan pada skenario pembagian data 70:30, akurasinya 96.8%, dan pembagian data 90:10 akurasinya sebesar 96.8%. Dari akurasi yang telah diperoleh, untuk evaluasi pengujian model, penelitian ini menggunakan Confusion Matrix atau Matriks Kebingungan. Agar prediksi dari model yang telah dilatih agar tersedia untuk orang lain, penelitian ini melakukan model deployment menggunakan Streamlit.