bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the expression and creativity of traditional ethnic cultural elements in clothing design based on the fusion of multi-source and multi-objective statistical information
Authors: Ma Yun , Zhang Lei
Published: October 2023

The use of multi-source, multi-objective statistical information fusion is utilized in this paper to identify garment design targets, and the correlation is judged based on garment data. Some parameters are pre-set to generate linear garment descriptions for multi-source, multi-objective information fusion and find the adaptability of ethnic elements under random coefficients using element information relationships. The clothing width vector of the radial basis function is calculated by clustering ethnic culture element data using centroid information. The results show that the innovation rate of ethnic elements of Miao batik reaches the highest 0.57, the average adaptation value in the garment design is increased by 4.92%, and the ethnic-cultural elements are embodied 280 times, which indicates that the proposed method can promote the traditional excellent culture.
Optimization of cross-cultural communication model for ethnic minorities based on self-similarity and comparative learning
Authors: Qi Zhongfang
Published: October 2023

The super-resolution algorithm of self-similarity is utilized in this paper to construct an image training set based on the multi-scale self-similarity of images and reconstruct the super-resolution of images. The visual question-and-answer method of contrast learning ensures full coverage of key targets, which makes the optimization of mutual information more reliable and stable to construct a cross-cultural communication model for ethnic minorities. The results show that compared with the cross-modal audio-video instance discrimination model, the accuracy of TOP1 at the visual clip level is 3.04% higher, and the accuracy of TOP5 at the video level is 2.62% higher for the model designed in this paper. This paper's design model can enhance the ability of cross-cultural communication among ethnic minorities, as indicated.
Study on the aesthetic evaluation method of applying symmetry analysis in industrial product styling design
Authors: Wen Jianqiang , Bai Qiong
Published: October 2023

The evaluation of product styling design is transformed into a complex nonlinear solution problem by symmetry analysis in this paper. The equilibrium matrix decomposition evaluation system calculates the stored matrix singular values in product styling design and proves that symmetry can be obtained from the stress matrix row vector. The regression algorithm is used to process multiple industrial product design objectives, and each design element in product styling is coded to obtain the fitness evaluation of individual industrial products. It is found that the satisfaction score in product styling design is 97.4, the weight index of logo novelty element is up to 7, and the regression coefficient of plane shape is 0.269, to improve the scientific and feasibility of aesthetic evaluation of industrial product styling design.
A theoretical and practical study on the components of intelligent physical education courses in colleges and universities based on Bayesian non-parametric model
Authors: Wei Na
Published: October 2023

This paper performs feature extraction based on the Bayesian nonparametric model for smart sports courses to analyze the Gaussian process principle for composing random variables. The probability distribution of the parameters is estimated based on the known data set, given the input data vector to decompose the likelihood function. To calculate the posterior probabilities of the parameters, the kernel function features are analyzed to give the expressions of eigenvalues and eigenvectors, and data normalization is performed. According to the results, the experimental group had higher sports test scores than the control group, and the third test score of high-speed running reached 9 points. Therefore, colleges and universities should focus on cultivating students' innovative thinking abilities and helping them master sports knowledge and skills to achieve their educational goals.
A study on pronunciation assessment of English learners based on temporal classification algorithm
Authors: Wang Lina
Published: October 2023

This paper utilizes a time-series classification algorithm to classify samples, and the selected datasets are utilized to calculate the distance of time-series samples. The information gain is calculated using the information obtained, and the information entropy is determined collectively for the node datasets to generate time series features. The convolution operation is used to obtain the formal representation of the time series classification, and the extracted English pronunciation features are adaptively matched. The evaluation results were determined using a multilayer wavelet feature scale transformation method, and English learners achieved scores of 6 and above in all three tests using the time-series classification algorithm. To master standard English pronunciation, English learners should use the temporal classification algorithm.
Research on Language Evolution and Language Diversity Based on Chinese Speech Pitch Deviation Features
Authors: Lang Juanjuan
Published: October 2023

This paper constructs a Chinese speech evaluation system based on the characteristics of the vocal mechanism of Chinese speech and uses the detection framework of statistical speech recognition to realize the automatic detection function of pronunciation bias. Assuming that the amplitude spectra of speech and noise obey the generalized Gamma distribution and Gaussian distribution, respectively, the MMSE estimator of the logarithmic spectrum of the speech signal is derived. The speech presence probability under the generalized Gamma speech model is derived as a correction to the MMSE estimation based on language evolution and diversity features. The correct recognition rate of the proposed algorithm reaches 64%, which indicates that the proposed algorithm can effectively suppress the interference of convolutional noise on the speech signal features and improve the subjective perceptual quality of diverse languages.
Extraction and analysis of factors influencing college students’ mental health based on deep learning model
Authors: Yang Weimin
Published: October 2023

This paper analyzes the factors that affect the mental health of college students, and the focus of this analysis is on emotional-emotional factors. The extroverted presentation of emotional affects is used as visual information to study the mental health status of college students. Based on the advantages of long and short memory neural networks based on deep learning models in processing two-dimensional images, a computer vision task is used to perform visual recognition, target detection, and expression image classification of college students’ facial expressions. The use of video facial expression recognition with multi-feature fusion is utilized to effectively identify the facial expression machine of college students in both laboratory-controlled and outdoor environments. The mental health status of college students was analyzed in terms of facial expression recognition and feature extraction. The recognition rate for general features was 80.3%, 89.3% for six specific facial emotions, and 84.4% for LBP features.
Research on Innovative Reform of Vocal Music Teaching Mode in Colleges and Universities Based on Network Vocal Music Teaching Model
Authors: Guan Qingzhen
Published: October 2023

Improving timbre recognition and Internet technology have created new avenues for developing vocal teaching models in colleges and universities. In this paper, several people propose a timbre-based Internet vocal teaching model based on the cross-classification vocal teaching model. The timbre is extracted and divided into training and test data, dimensionality reduction and classification processes to form the general process of timbre recognition. A GMM-HMM timbre recognition model is proposed by describing the observed timbre probabilities using GMM so that the observed timbre states of HMM are continuous. The SVM classification algorithm is employed to categorize the identified timbres and determine the specific distribution of incorrect timbres. In the vocal teaching test, the Mayer inversion coefficient achieved a higher RPA when the number of candidate pitches was less than 4. If the number of candidate pitches exceeds 5, the amplitude-free weighting method will increase slowly.
An investigation of the fusion path of multiple singing styles in American vocal singing by incorporating Markov chain prediction model
Authors: Liu Na
Published: October 2023

In this paper, by analyzing the four American vocal singing styles, the vocal semantics beyond the semantics of the four vocal singing styles are constructed by using the common knowledge map, and the heavy semantic fusion mechanism is established based on the pre-training model of the knowledge map to obtain the contextual semantic features, and the relational classification model MSF-RC is realized. To predict the degree of fusion of the three vocal singing styles, the classical gray theory and To predict the degree of fusion of the three vocal singing styles, the Markov chain prediction is completed for the residual numerical sequences with large volatility. After testing, the accuracy of this algorithm is 0.88, the recall is 0.92, the F-Score is 0.88, and the MAPE value between the actual values of American singing and ethnic singing fusion and the prediction results corrected by the fusion Markov chain model is 1%, which has high prediction accuracy.
Numerical analysis-oriented Kruskal algorithm for the analysis and integration of effective components of university music pedagogy
Authors: Li Yuan
Published: October 2023

This paper constructs a collection of effective teaching methods based on the improved K-Means clustering algorithm for clustering and dividing effective components of music teaching in colleges and universities. By analyzing the personalized content recommendation system, we can construct a recommendation system based on teaching content using information retrieval and filtering techniques. The collaborative filtering recommendation algorithm is used to ensure the accurate placement of teaching content. The Kruskal algorithm is used to find the minimum spanning tree of teaching effective components, and the K-means clustering principle is applied to the division of music teaching effective components, and the cluster of effective teaching components is divided by the clustering algorithm. According to the findings, mind-body integration and the teaching goal of valuing creativity were classified as effective teaching components in music. Personal aesthetics had a 0.6 influence on musical creativity, and a free environment had a 0.3 influence.
Research on the design of booth space in furniture exhibitions based on big data analysis
Authors: Xue Chuan
Published: October 2023

In this paper, we first use VR technology to spatially calibrate the flat images of furniture booths and use a fisheye camera to obtain the visual features of booth space layout with coordinate information and color information in 3D space to construct a 3D geometric model. Then, the booth layout framework is used to extract the scene information, and the visualization processing and fusion of layout nodes are realized using coordinate conversion to complete the multi-user interactive genetic algorithm-based booth space layout to visualize and analyze the furniture layout of the booth space. After testing, we found that before optimizing, the area occupied by individual furniture SA tends to increase with the increase in a number of furniture. After optimization, the average area utilization of the booth increased by 23.6%, the number of furniture that can be accommodated in a single furniture area increased by 81.82% on average, and the booth space utilization was highly improved.
Study on the development strategy of information integration of packaging design and pattern design under visual communication course
Authors: Yang Zhe
Published: October 2023

In this paper, the importance of modern packaging design and pattern design and the application of pattern design in modern packaging design are the first two aspects of achieving the development of information integration of packaging design and pattern design, and the visual design based on Markov random field is proposed for the image retrieval and classification problems in traditional model packaging design and pattern design. Wavelet transforms, multi-scale analysis of image texture features and region merging conditions in visual design using GBIS algorithm, and image retrieval in pattern design are examined and analyzed. The results show that the model trained with both loss functions has the best retrieval top-k accuracy on both datasets, reaching 54.3% on the DARN dataset and 3.9% accuracy on Deep Fashion. This paper demonstrates the model’s effectiveness for modifying and retrieving pattern design image attributes.
Minimal cut of strongly connected directed random graphs studied in virtual machine deployment
Authors: Zhang Hongwu
Published: October 2023

This paper first presents the basic concepts of random graph theory, including undirected, directed, and generalized random graphs. A random homomorphic number mapping is introduced to solve the cut distance problem of directed random graphs, and a minimum cut distance is proposed. Next, a virtual machine deployment strategy (VMDS) based on the minimum cut algorithm is proposed to construct VM clusters based on similarity and to cut VM clusters based on the minimum cut of directed random graphs. According to the results, the MAE (1.3875) and MSE (2.7783) of both the conventional AR algorithm and ES algorithm are the lowest. Compared to the MAE (1.7381) and MSE (3.7840) of the VMDS algorithm, both significantly decrease. The research results presented in this paper are useful for applying virtual machine deployment techniques in cloud computing.
Research on the Countermeasures for the Construction of High-level Practical Training Bases in Higher Vocational Colleges Based on the Integration of Industry and Education
Authors: Li Juan
Published: October 2023

To quickly establish high-level training bases in higher vocational colleges while integrating industry and education, this article first describes the concepts and layout of the space. Secondly, Using interest-related data, an assessment method of the indicators that demonstrate the efficiency of bringing together industry and schooling is developed, the weights of the indicators are determined, and the evaluation matrix is constructed for a comprehensive evaluation using ANP and gray fuzzy theory, respectively. Three colleges were used as examples to examine the effectiveness of integrating industry and education in creating advanced knowledge bases. The findings show that the greatest weighting of the indicators for how well industry and education are integrated is 0.3135, and the highest governance economic investment in building high-level training supports is 93.26, suggesting that building high-level training bases can enhance how well industry and education are integrated.
The combination of cognitive psychology and creative thinking skills in art and design
Authors: Zhao Yan , Li Wenwen
Published: October 2023

This paper first investigates cognitive psychology and art design, divides cognitive memory into sensory memory, short-term memory and long-term memory according to cognitive psychology, and investigates art design's needs, psychology and creative thinking ability. Then, an art design is proposed that uses image processing technology. The first step in designing an art design using image processing technology is to use an image processing algorithm. Based on the image luminance equalization processing in art design, image fusion and wavelet noise reduction processing are carried out, and ANOVA cognitive psychology and art design experimental data are used to realize art design human-computer interaction. The results show that the analysis of the model with artistic design creative thinking variability as the dependent variable found that the R2 of the model was 0.036, and the adjusted R2 was 0.023. F=2.633, p=0.015, and the grade level had a significant effect on artistic design creative thinking variability. This study is a comprehensive and thorough cognitive psychology and art and design relationship that can contribute to development.
The use of online interactive teaching mode in university music teaching under the background of informationization
Authors: Ni Meiying , Yang Fangling , Liu Mei
Published: October 2023

This research method uses vocal recognition, classroom interaction analysis and social network analysis theory to cluster audio data through the process of data collection and feature extraction, active speech detection and speaker change detection, and finally quantifies and visualizes classroom data based on S-T analysis and social network analysis methods, and calculates corresponding indicators for qualitative analysis. After reforming the teaching mode, 80% of students expressed great satisfaction. The information-based teaching tools resulted in an overall upward trend in the grades of the three classes. In the middle and high score range of 80-89, Class 1 increased by 34%, Class 2 by 37%, and Class 3 by 28%, and all three classes showed a more significant increase. Regarding classroom interaction behaviors, teachers' verbal behavior rates decreased from 55.86% and 44.01% to 27.48%, while students' verbal behavior rates increased from 21.92% and 21.23% to 39.73%.
A study on the legal risk assessment of virtual currency transactions based on statistical analysis
Authors: Wang Ruishan
Published: October 2023

This paper first analyzes the definition and characteristic attributes of virtual currency transactions, secondly constructs the legal risk indicator evaluation system, then pre-processes the evaluation data and assigns the indicators, and then constructs the legal risk evaluation model using TOPSIS-grey correlation. Finally, the quantitative data analysis was carried out by analyzing the indicator weights and evaluating indicators. The results show that the overall score of the trading platform is 73.86, with the evaluation scores of the first-level indicators being 24.56, 11.35, 16.23, 15.42, and 6.30, respectively. This study fully illustrates that the use of TOPSIS-grey correlation analysis can provide data support and a decision-making basis for legal risk assessment and prevention and new directions for reforming and developing the legal risks of virtual currency trading.
Optimization of Nursing Care Resource Allocation in an Aging Population Based on Combinatorial Optimization Algorithm
Authors: Wang Wei , Li Tongbin
Published: October 2023

This paper first considers population aging as a breakthrough, analyzes the demand for long-term care due to population aging, and classifies the models and characteristics of long-term care. Secondly, the combinatorial optimization algorithm and its classical cases are analyzed, and a care resource allocation system is built based on the solution set performance metrics and multi-objective combinatorial optimization algorithm for an aging population society. In city A, a research experiment examines the elderly population and the allocation of nursing care resources. The results show that the Gini coefficient of the population distribution of nursing institutions is 0.027 and the Gini coefficient of the population distribution of the number of institutional beds is 0.296, both of which are less than 0.3, thus indicating that the overall structure of the current social nursing resource allocation is relatively fair.
Blockchain technology in the formation mechanism and strategy of brand trust in liquor e-commerce
Authors: Wang Meng , Wang Dongyang
Published: October 2023

This paper firstly constructs a theoretical framework of a liquor e-commerce platform based on blockchain technology, analyzes the influence factors of brand trust, and discusses the influence mechanism of blockchain technology on liquor brand trust. Secondly, in the three-party trust degree calculation section, a blockchain-based method for calculating the three-party trust degree for an e-commerce platform is proposed. Finally, an evolutionary game model of the three parties involved in e-commerce transactions is constructed, and evolutionary stabilization strategies are explored before and after the introduction of blockchain. The results show that before the introduction of blockchain technology, the evolutionary stability point of the system was (0, 0, 1). After the introduction of blockchain technology, the trust power of merchants’ liquor brands is improved, and the evolutionary stability results of the three-party evolutionary game system eventually converge to (1, 1, 1). This study has some guiding significance for promoting the development of liquor e-commerce platforms and improving brand trust.
Research on the spatial structure of environmental art design based on topology optimization and morphology optimization
Authors: Meng Sha
Published: October 2023

In this paper, firstly, a mathematical model of spatial structure topology optimization is constructed, and sensitivity analysis, approximate model fitting and optimization finding strategy for topology optimization in environmental art design are carried out. Secondly, morphological optimization is carried out from the morphological model of spatial structure and the urban thermal environment through urban environmental art design and morphological optimization. Finally, the optimization of structural morphology is explored under static multiple working conditions and single-objective optimization, considering the dynamic frequency of the structure. The results show that as the optimization proceeds, the total strain energy, axial strain energy and bending strain energy of the space structure increase to 0.45, 0.52 and 0.5 of the initial structure, respectively. At the 9th iteration of optimization, the performance is at its peak. The load-carrying capacity is 1.59 times that of the 35th step and 1.5 times that of the initial structure. The research results of this paper can provide references and guidance for structural design and optimization in the fields of environmental art design and urban planning.
Studying Spatial Correlation and Regional Differences in Local Government Debt Performance Using Spatial Econometric Models
Authors: Dong Haoran , Wang Shiyu , Bai Yumeng , Liu Jun , Liu Fengrui
Published: October 2023

The magnitude and type structure of local government debt are first analyzed in this work. Then, using the “4E” evaluation theory, a local government debt performance assessment index system is built. Second, an entropy-TOPSIS technique is used to calculate the risk index of local government debt performance, and a spatial econometric model is used to examine the geographical spillover impact of local government debt performance across different areas. Finally, the heterogeneity of local government debt management was evaluated using the Malmquist index. The findings demonstrate that the hypothesized national effect is often superior to the sub-regional effects, with a debt ratio regression result of -0.065. Despite the overall local government debt coefficient being -0.032, the direct impact coefficient for the eastern area is -0.025.
A study on the integrated teaching model of core literacy in college physical education and health courses using multiple data fusion
Authors: Wang Hui
Published: October 2023

This paper introduces an experiential teaching model for physical education and health courses. Secondly, the parameters of the multiple linear regression model were estimated and tested for significance based on the least squares method, and the integration of multiple data was carried out by using rough set simplification. Finally, an empirical analysis of the core literacy of physical education and health curriculum was conducted through three aspects: physical activity ability, health behavior and physical morality. The results showed that the p-values of physical exercise awareness, physical exercise habit, and health knowledge mastery and application were 0.015, 0.024, and 0.021, respectively, thus indicating that the experiential teaching model can effectively improve students’ core literacy in physical education and health curriculum.
Research on the path of high-quality development of China’s foreign trade in the context of ARDL-based model
Authors: Zhao Yan
Published: October 2023

To explore the path of high-quality development of China’s foreign trade, this paper selects four dimensions of foreign trade foundation, foreign trade competitiveness, foreign trade performance level and foreign trade sustainability based on the characteristics of comparability and strong operability and establishes the evaluation system of foreign trade level by using the improved entropy weight TOPSIS. Based on the evaluation results, the impact of the RMB exchange rate on China’s import and export trade is explored based on the autoregressive distributed lag model, and the lagged residual term of ARDL is modified in combination with the ECM model, which is set for the import direction and export direction respectively. The impact of exchange rate level change on all three types of enterprises has a significant change process, especially for exporting foreign-funded and other types of enterprises. Among them, the coefficient LnY of the export equation for foreign-owned enterprises fluctuated between 2.1 and 2.5 in 2018, and LnReer fluctuated between -1.8 and -1.2.
The right to collective bargaining in the military, police, and public sector. A comparative law perspective
Authors: DIMITRIU Raluca
Published: October 2023

The right to collective bargaining is regulated differently depending on the legal system. A common basis does exist, however: this is the International Labour Organisation Convention no. 154 (1981), ratified by 50 states, including most of the member states of the European Union. However, with regard to police and military personnel, ILO Convention 154 leaves it to the discretion of the national law-maker to determine the extent to which the guarantees provided for in the Convention apply. Indeed, according to Articles 1 (2) and (3) of Convention 154, the extent to which the guarantees provided for in this Convention apply to the armed forces and the police may be determined by national laws or regulations or national practice. As regards the public service, special modalities of application of this Convention may be fixed by national laws or regulations or national practice. The paper will include a comparative analysis of the application of these provisions in 12 Member States of the European Union. Finally, we will try to draw up a relevant table as to how each national legislator understood to regulate this sensitive subject.
Covering the financial risks of companies in the HoReCa field through insurance contracts and methods of alternative dispute resolution (ADR) for these contracts
Authors: LEAUA Crenguța , NAE Laura Ramona
Published: October 2023

The issue of financial risks of companies in the HoReCa field has acquired a new dimension with the situation of the COVID-19 pandemic, as they are forced to reevaluate their contractual risk allocation and financial loss coverage mechanisms. This situation generated a reassessment of the importance of insurance contracts, especially business interruption insurance. The interpretation of clauses in existing contracts that did not expressly refer to the pandemic situation increased the number of disputes generated by this lack of clarity. The present article represents a general presentation of the risks of the activity in the HoReCa field, of the insurance contracts specific to this field, as a way of addressing these risks. The article also refers to the methods of out-of-court settlement of disputes in the field of HoReCa insurance, respectively to the arbitration organised in this field, as well as to the alternative dispute resolution methods (ADR) used in Romania and at the level of the European Union.
PERBANDINGAN METODE KLASIFIKASI SUPPORT VECTOR MACHINE DAN NAÏVE BAYES PADA ANALISIS SENTIMEN KENDARAAN LISTRIK
Authors: Ernawati Ni Wayan , Satya Kumara I Nyoman , Setiawan Widyadi
Published: October 2023

Electric vehicles are one of the solutions that can be used to deal with the problem of greenhouse gas emissions. Switching to electric vehicles can be an effective solution because electric vehicles have many advantages. However, the acceptance of electric vehicles in Indonesia depends on the opinions or sentiments given by the community. Sentiment analysis can provide a specific picture of how the sentiment or opinion given by the Indonesian people towards electric vehicles. The sentiment analysis process is carried out using the Python programming language. This research compares SVM and Naïve Bayes methods in sentiment analysis in terms of accuracy and time efficiency. A total of 717 data were used as test data and SVM correctly classified 150 negative data, 152 neutral data, and 277 positive data. Meanwhile, Naïve Bayes correctly classified 166 negative data, 143 neutral data, and 282 positive data. training time required for the SVM method is 37.42 seconds while Naïve Bayes is 0.10 seconds. Naïve Bayes is the best method in this study because of its high accuracy and fast training time.
RANCANG BANGUN SISTEM MONITORING KANDANG KELINCI BERBASIS INTERNET OF THINGS
Authors: Rizqian Aki Alif , Jasa Lie , Rahardjo Pratolo
Published: October 2023

These days technology has developed rapidly, almost covering all aspects in humas life for example is automation system. The automation system works without human intervension and complete all works independently. Existing technology can already be connected to each other via the internet network so that it can transmit or receive data automatically. The Internet of Things (IoT) can support automated systems by providing real-time information so that users can monitor the performance of these automated systems. This research was to develop rabbit cage by utilizing microcontroller as monitoring system. The system utilizing Internet of Things (IoT) as monitoring medium between users and devices to help users monitor their rabbit cage remotely. The design installed several sensors such as ultrasonic, temperature, load cell sensors, DS18B20 and water level sensors. This research used Arduino Mega 2560 as main microcontroller and NodeMCU ESP8266 as communication device between the tools and database. The tools use android application on user smartphone that fuctions real time monitoring for the cage. Based on the results of this research by using Arduino Mega as microcontroller board to controlling and monitoring rabbit’s cage has succesfully in monitoring the cage via internet through the NodeMCU ESP8266 intermediary according to the design.
RANCANG BANGUN PERANGKAT KERAS SISTEM SMART LAMPU PENERANGAN JALAN UMUM BERBASIS INTERNET OF THINGS GUNA MENDUKUNG IMPLEMENTASI SMART CITY
Authors: Artha Lesmana Dharma Dutaluhur , Arsa Suyadnya I Made , Shandyasa I Wayan
Published: October 2023

Public Street Lighting (PJU) is a lighting system designed to provide street lighting at night with the aim of increasing comfort for pedestrians and motorists passing through. However, the obstacles faced regarding PJU lights at this time are that when carrying out monitoring and control officers are still checking and visiting the location of every whereabouts of PJU lights. So that to make it easier for officers to manage PJU lights in this study, they will conduct discussions related to the design and development of hardware that is applied to PJU lights. The methods used in the development of this system are design, development, and testing. To build hardware using components such as ESP32 as a microcontroller, PZEM004Tv30 sensor, DHT22 sensor, IC RTC DS3231, Relay 30 A, IC LM2596 5V, IC AMS1117 3.3V, GSM SIM808 Module and LDR sensor, while for implementing the protocol using the MQTT protocol and Antares as the MQTT platform. The results of tests carried out on each circuit block in hardware such as the DHT22 sensor have an accuracy range of ~0.1 – 0.2, the PZEM004Tv30 sensor has an accuracy range of ~0.3 – 0.5, Regulator IC LM2596 5V and AMS1117 3.3V each has an appropriate output voltage of ~5V and ~3.3V, and the CH340C IC Driver IC can work and read properly.
PERANCANGAN PEMBANGKIT LISTRIK TENAGA SURYA ATAP DI HOTEL MEGA DANA
Authors: Duga Purba Christ Ave , Wahyu Wicaksono Ongky , Arta Wijaya I Wayan , Budiastra I Nyoman
Published: October 2023

The utilization of renewable energy is one of the solutions to overcome the increasing electricity demand. One of these solutions is to install Solar Power systems on the roofs of offices, industries, or households. This study targets to meet electricity demand by utilizing the roof of the Mega Dana Hotel as a place for the installation of solar panels, the solar panel will later produce electrical energy to meet the electricity needs of the hotel bars. The simulation results of the production of electric energy at Hotel Mega Dana's solar panel system using an application called Helioscope. This study analyzes the economics of designing a rooftop solar power system at Hotel Mega Dana. The feasibility of this research investment is assessed from the value of NPV, PI, and DPP. According to the data obtained, the Hotel Mega Dana building has a roof area of 655.92 m 2. The study used 39 solar panel modules, 1 20kW inverter, and 5 48V 100 Ah TLO batteries, the system can produce 17,6 kWp of power, with a total annual energy production of 21.83 MWh to supply electricity for the bar at Hotel Mega Dana. This research was planned with an initial capital of IDR 254,578,500, a PI value of 1.09, and a DPP value of 21.9 years. The results of this research analysis can be considered feasible because the design has a positive NPV value and is expected to return investment at 21.9 years out of 25-years project life.
Polygalacturonase Production by Sarocladium strictum T4 Isolate using Apricot Pulp as Substrate in Non-Sterile Culture Conditions
Authors: Aydın Karaağaç Ruhşen , Aydoğan Mehmet Nuri
Published: October 2023

In this study, 34 molds showing pectin degradation activity were isolated from the soil of orchards, by several tests.  By using these isolates, pectinase group enzymes; studies on pectin lyase and polygalacturonase production were performed in the batch system and under non-sterile culture conditions. 5 isolates denoting polygalacturonase activity were coded as: T1, T2, T3, T4, T5 and the best polygalacturonase activity among these isolates was determined as 354.4 U/L in T4 isolate. Thus, optimization analyses continued by the use of this isolate. Initial apricot pulp concentration, temperature, pH and incubation period were tested as optimization parameters. The effects on enzyme activities were investigated by changing the initial apricot pulp concentration in the range of 5-100 (g/L), and in this regard, polygalacturonase activity was determined as 397.4 U/L at 50 g/L. In addition, the pH parameter was analyzed in each unit between pH = 3 – 8, and the temperature was tested by increasing 5 units in the range of 5-25°C. Consequently, the maximum polygalacturonase activity was determined as 405.7 U/L at pH 5 and 406.3 U/L at 15°C. Besides, the effect of the incubation period was studied within 1-5 days and the maximum polygalacturonase activity was determined as 429.0 U/L on the 4th day (after 96 hours). As a result, the above-mentioned T4 isolate, with which the optimization studies were conducted, was identified as Sarocladium strictum (Top ekinküfü) T4 by molecular methods.
The Optimum Condition for Total Carotenoid Extraction from Orange Sweet Potato
Authors: Syukri Daimon , Rini Rini , Wellyalina Wellyalina , Jaswandi Jaswandi , Sukma Puja Nadia
Published: October 2023

This study aimed to find the optimum conditions for extracting the carotenoid content in orange sweet potato in an applied application. The extracted carotenoids will be used as raw materials to produce rose-scented aromatic compounds (b-ionone). The extraction process was carried out on dry matter using maceration technique and using hexane as solvent. Other solvents such as methanol, ethanol, isopropanol and choloroform were also used to extract carotenoids from orange sweet potato. The use of wet samples and dry samples was also carried out in this study. The ratio of the solvent used with the material was 1:3. Based on the yield and spectrophotometric characterization, it was known that the extraction process with hexane solvent can extract carotenoid compounds from dry orange sweet potato powder if the extraction process is carried out 7 times
Kinerja Pegawai Ditinjau Dari Kompetensi, Kompensasi, Motivasi Kerja, dan Disiplin Kerja
Authors: Rosyinah Hasibuan Yenni , Ningsih Fitria Ridha , Putri Yuliarni
Published: October 2023

The success of the hospital in providing the best and quality service to the community can be measured by the quality of the performance of its human resources. This is because human resources are an important element involved in the core activities of providing health services in a hospital. This study aims to analyze several factors that have an influence on employee performance at RSUD Dr. Rasidin Padang, namely commitment, compensation, work motivation, and work discipline. The analytical method used in this research is path analysis using the help of the SPSS for windows program. This study used 158 respondents as the research sample. The independent variables consist of Competence (X1), Compensation (X2), Work Motivation (X3), and Work Discipline (X4), while the dependent variable is Performance (Y). The results showed that competence, compensation, work motivation, and work discipline had a significant positive effect on the performance of RSDU Dr. Rasidin Padang.

Keyowords : Competence, Compensation, Work Motivation, Work Dicipline, and Employee Performance
PERCEPÇÃO DE DISCENTES E EGRESSOS SOBRE PROCESSO DE APRENDIZAGEM DE METEOROLOGIA DINÂMICA
Authors: Santos Laura Carolina Trindade , Serra Emilenne Monteiro Furtado , Magalhães Elida Ariele Pereira , Monteiro Junior Luis Carlos Martins , Santos Gabriela Cristina Trindade , Da Silva Ludmila Monteiro , Kuhn Paulo Afonso Fischer , Nassarden Danielle Christine Stenner , Palácios Rafael da Silva
Published: October 2023

O número de discentes que se evadem do ensino superior devido às dificuldades com disciplinas do ciclo básico é notório em cursos de ciências exatas, geociências e ciências atmosféricas. Para o curso de Bacharel em Meteorologia, muitas vezes a falta de uma base sólida de Física e Matemática dificulta o entendimento de livros texto clássicos de disciplinas específicas, desmotivando o discente e levando-o ao abandono do curso. Nesse sentido, esse estudo foi elaborado para analisar a percepção dos discentes e egressos de um curso de Meteorologia, sob o ponto de vista das principais dificuldades no processo de aprendizagem, especificamente sobre uma disciplina do bloco profissional, Meteorologia Dinâmica. Foi realizada uma entrevista por questionário com questões objetivas e dissertativas. Ao avaliar a percepção de um total de 50 entrevistados, foi possível observar, que para essa disciplina, as dificuldades foram associadas a “forma de ministrar a disciplina” e não a base física e matemática. Esse resultado foi inesperado para o contexto do estudo, no entanto, indica que há pontos importantes a serem debatidos sobre a forma de oferta da disciplina, visando melhorar as práticas de ensino. Uma ampla discussão deve ser conduzida para melhorar a formação dos futuros profissionais meteorologistas.
RECONTEXTUALIZAÇÃO DAS TECNOLOGIAS DA INFORMAÇÃO E DA COMUNICAÇÃO - SOFTWARES EDUCACIONAIS LIVRES - NO PROCESSO DE MEDIAÇÃO PEDAGÓGICA NO ENSINO DA MATEMÁTICA
Authors: Araújo Clodoaldo Pires , Araújo Ruth Cristina Soares Gomes , Garcia Ana Cássia Gomes
Published: October 2023

As políticas educacionais brasileiras têm recontextualizado as Tecnologias da Informação e da Comunicação (TIC) e reconfigurado a formação e o trabalho docente. Discutimos a tendência das TIC como recurso didático mediador no processo ensino e aprendizagem. Assumimos como base teórico-metodológica a Análise Crítica de Discurso (ACD) nos termos formulados por Norman Fairclough (2016), que reitera o conceito de recontextualização no sentido estrutural e de escala, destacando as mudanças sociais atuais. A análise concentra-se na TIC numa perspectiva dinamizadora, agregando valores aos profissionais da educação e auxiliando o processo ensino e aprendizagem através dos softwares livres. Assim, nossa atenção está direcionada aos sentidos atribuídos às tecnologias da informação e da comunicação no discurso da “comoditização” a partir de práticas discursivas presentes nos documentos. Com base em reflexões críticas e inferências linguísticas, buscamos dimensionar a concepção político-ideológico presente nos discursos que são articulados com o “imaginário tecno-ideológico” na promoção de formulações hegemônicas centradas especialmente na precarização do trabalho docente e a consequente desinstitucionalização da escola pública.
O ENSINO DA ANATOMIA CELULAR PARA O ENSINO FUNDAMENTAL: DESAFIOS E PERSPECTIVAS
Authors: Oliveira Rian da Silva , De Souza Luciane Lopes , De Oliveira Raimundo Corrêa , Freitas Silvia Regina Sampaio
Published: October 2023

As aulas expositivas não são totalmente eficazes, uma vez que promove aprendizagem baseada na memorização e reprodução do conhecimento de curto prazo. Nesse sentido, a utilização de estratégias de ensino complementares, como o jogo didático, para o ensino da anatomia da célula animal se torna uma estratégia factível para a complementação e consolidação dos conhecimentos perpassados pelos docentes, além de promover aprendizagem significativa para os alunos. Neste artigo, apresentamos uma proposta metodológica baseadas no uso de jogos didáticos para a complementação do ensino da anatomia celular. A metodologia foi testada por um grupo de alunos de graduação e, posteriormente, por alunos do ensino fundamental de uma escola pública do município de Tefé/AM. Questionários pré e pós jogo didático foram aplicados com o intuito de verificar se o uso do jogo didático contribuiu para a aprendizagem dos assuntos sobre a anatomia da célula animal. Os resultados obtidos indicaram uma discreta melhora na compreensão de alguns assuntos. Contudo, os demais resultados indicaram que o jogo didático não foi o suficiente para a promoção da aprendizagem plena sobre a célula animal, suas organelas e funções. A partir dos resultados da pesquisa percebeu-se que não basta realizar aula teórica e utilizar um instrumento didático complementar; deve-se trabalhar teoria juntamente com a prática da construção dos recursos didáticos pelos alunos, visando a contextualização da anatomia celular. Sugere-se, portanto, que mais pesquisas sejam desenvolvidas com o intuito de formular novas abordagens conceituais sobre a anatomia celular, mediante as informações disponibilizadas.
Poverty Level Prediction Based on E-Commerce Data Using Naïve Bayes Algorithm and Similarity-Based Feature Selection
Authors: Aji Pramuko , Wijaya Dedy Rahman , Hernawati Elis , Yualinda Sherla , Yualinda Sherli , Frasanta Muhammad Akbar Haikal , Kannan Rathimala
Published: October 2023

The poverty rate is an important measure of any country because it indicates how well the economy develops and how well the economic prosperity distributes among citizens. The Central Statistics Agency, or BPS, measures the poverty rates in Indonesia using the concept of the ability to meet demands (basic needs approach). Using this approach, spending becomes a measure of poverty, defined as an economic incapacity to satisfy food and non-food requirements. Thus, the poor are individuals whose monthly per capita spending is less than the poverty threshold. In this study, the machine learning method using Naive Bayes with similarity-based feature selection and e-commerce data has been proposed to predict the poverty level in Indonesia. We proposed the method to be used as a complement to the results of the costly surveys and censuses conducted by BPS. Our experiments show that the classifier shows little relevance between the predicted and the original values or actual poverty prediction based on BPS data. A limited number of features does not necessarily result in poor accuracy, however great accuracy is not always achieved if a lot of features are being used.
La agricultura familiar relacionado con los objetivos de desarrollo sostenible uno y dos en los distritos de Rupa Rupa y Castillo Grande, región Huánuco
Authors: Orbezo-Campos Sandra C. , Arévalo-Arévalo Carlos E. , Saavedra-Rodríguez Hugo , Robles-Rodriguez Rafael R.
Published: October 2023

El objetivo de la investigacion fue evaluar la relación del aporte de la agricultura familiar para el cumplimiento de los objetivos de desarrollo sostenible uno y dos al 2030, asimismo caracterizar y tipificar la agricultura familiar en los distritos de Rupa Rupa y Castillo Grande, región Huánuco. Se trabajó con una muestra de 60 fundos familiares con un nivel de investigación descriptivo y tipo cualitativo-explicativo. Se utilizó el modelo estadístico que corresponde a un diseño completamente al azar, asimismo la prueba de media DGC para determinar diferencias significativas entre los tipos de sistemas. Los resultados mostraron que la agricultura familiar aporta al cumplimiento de los objetivos de desarrollo sostenible uno y dos al 2030 en los distritos de Rupa Rupa y Castillo Grande, debido a que son sistemas integrales de producción, tipificado como un agroecosistema biodiverso, constituida por componentes agrícola, forestal y pecuario, y el funcionamiento de este sistema, está instalado en un área de terreno cuya superficie trabajada en promedio va de 1 a 5 ha y son de manejo familiar, dando soporte a la disminución de la pobreza, y el hambre con una mejor nutrición y promoción de una agricultura con un enfoque agroecológico. Estos sistemas se diferenciaron en tres conglomerados, el primero agrupó al 41.67%, el segundo al 38.83% y el tercero al 20% del total de fundos evaluados, sobresaliendo el conglomerado 1, seguido del 2 y finalmente el tercero, con diferencias estadísticas entre ellos.
The Brazilian Nightmare
Authors: Gugliano Alfredo Alejandro , Seifert Jr. Carlos Alberto , De Queiroz Stein Guilherme , Suptitz Bruna Fernanda
Published: October 2023

In the 2010s, conservative leaderships dominated governments in many western democracies. In this wave, Jair Bolsonaro was elected President of Brazil in 2018. This paper aims analyzing some of the government’s central strategies, especially the promotion of an intense neoextrativism as the main driver of economic growth, representing a new form of alliance between conservatism and neoliberalism. The disruption of environmental policies in Brazil is a main feature of this model. This paper makes a document and descriptive statistical analysis to show how this strategy is practiced, underlining its most important consequences. Our research has identified and described four strategies adopted by Bolsonaro’s Government that heighten this situation: the dismantling of spaces for social participation, militarization of environmental agencies, institutional breakdown, and cuts in budget resources. Finally, we alert about the severe consequences of this situation, which affects Brazilians and the global capacity to face environmental challenges.
Debunking the Myths of Brazilian Authoritarianism
Authors: Iecker de Almeida Gisele
Published: October 2023

BOOK REVIEW
Sá Motta, Rodrigo Patto (2023). A present past - the Brazilian military dictatorship and the 1964 coup (Portuguese-Speaking World: Its History, Politics and Culture). Sussex Academic Press: Brighton, 210 p