bluuebunny/crossref_metadata_2025 huggingface dataset:
A Long-Tailed Image Classification Method Based on Enhanced Contrastive Visual Language
Authors: Song Ying , Li Mengxing , Wang Bo
Published: July 2023

To solve the problem that the common long-tailed classification method does not use the semantic features of the original label text of the image, and the difference between the classification accuracy of most classes and minority classes are large, the long-tailed image classification method based on enhanced contrast visual language trains the head class and tail class samples separately, uses text image to pre-train the information, and uses the enhanced momentum contrastive loss function and RandAugment enhancement to improve the learning of tail class samples. On the ImageNet-LT long-tailed dataset, the enhanced contrasting visual language-based long-tailed image classification method has improved all class accuracy, tail class accuracy, middle class accuracy, and the F1 value by 3.4%, 7.6%, 3.5%, and 11.2%, respectively, compared to the BALLAD method. The difference in accuracy between the head class and tail class is reduced by 1.6% compared to the BALLAD method. The results of three comparative experiments indicate that the long-tailed image classification method based on enhanced contrastive visual language has improved the performance of tail classes and reduced the accuracy difference between the majority and minority classes.
Task-Oriented Systematic Design of a Heavy-Duty Electrically Actuated Quadruped Robot with High Performance
Authors: Liu Junjun , Wang Zeyu , Qian Letian , Luo Rong , Luo Xin
Published: July 2023

Recent technological progress is opening up practical applications for quadruped robots. In this context, comprehensive performance demands, including speed, payload, robustness, terrain adaptability, endurance, and techno-economics, are increasing. However, design conflicts inevitably exist among these performance indicators, highlighting design challenges, especially for a heavy-duty, electrically actuated quadruped robots, which are strongly constrained by motor torque density and battery energy density. Starting from task-specific holistic system thinking, in this paper, we present a novel task-oriented approach to the design of such kind of robots, incorporating hierarchical optimization and a control-in-the-loop design, while following a structured design path that effectively exploits the strengths of both heuristic and computational designs. Guided by these philosophies, we utilize heuristic design to obtain the approximate initial form of the prototype and propose a key task-oriented actuator joint configuration, utilizing commercially available components. Subsequently, we build a step-wise analytical models considering trajectory optimization and motor heat constraints for optimization of leg length and joint match parameters to achieve a compact performance requirement envelope and minimize redundancy in the construction of task-specific components. Furthermore, we construct a holistic simulation platform with a module control algorithm for typical scenarios to evaluate subsystem results and adjust design parameters iteratively, balancing conflicts and eventually achieving a reliable design specification for detailed subsystem design. Based on these strategies, we develop a heavy-duty electric prototype achieving a maximum speed of 2 m/s in trotting gait with a load weighting over 160 kg and enduring a period of 2 h. The experiment upon the prototype verifies the efficiency of the proposed approach.
IMU/UWB Fusion Method Using a Complementary Filter and a Kalman Filter for Hybrid Upper Limb Motion Estimation
Authors: Shi Yutong , Zhang Yongbo , Li Zhonghan , Yuan Shangwu , Zhu Shihao
Published: July 2023

Motion capture systems have enormously benefited the research into human–computer interaction in the aerospace field. Given the high cost and susceptibility to lighting conditions of optical motion capture systems, as well as considering the drift in IMU sensors, this paper utilizes a fusion approach with low-cost wearable sensors for hybrid upper limb motion tracking. We propose a novel algorithm that combines the fourth-order Runge–Kutta (RK4) Madgwick complementary orientation filter and the Kalman filter for motion estimation through the data fusion of an inertial measurement unit (IMU) and an ultrawideband (UWB). The Madgwick RK4 orientation filter is used to compensate gyroscope drift through the optimal fusion of a magnetic, angular rate, and gravity (MARG) system, without requiring knowledge of noise distribution for implementation. Then, considering the error distribution provided by the UWB system, we employ a Kalman filter to estimate and fuse the UWB measurements to further reduce the drift error. Adopting the cube distribution of four anchors, the drift-free position obtained by the UWB localization Kalman filter is used to fuse the position calculated by IMU. The proposed algorithm has been tested by various movements and has demonstrated an average decrease in the RMSE of 1.2 cm from the IMU method to IMU/UWB fusion method. The experimental results represent the high feasibility and stability of our proposed algorithm for accurately tracking the movements of human upper limbs.
Solving the Power Flow Problem in Bipolar DC Asymmetric Distribution Networks Using Broyden’s Method
Authors: Montoya Oscar Danilo , Medina-Quesada Ángeles , Gil-González Walter
Published: July 2023

This research addresses the power flow analysis in bipolar asymmetric direct current (DC) networks by applying Broyden’s numerical method. This general successive approximations method allows for a simple Newton-based recursive formula to reach the roots of multiple nonlinear equations. The main advantage of Broyden’s approach is its simple but efficient structure which can be applied to real complex nonlinear equations.The power flow problem in bipolar DC networks is still challenging, as multiple operating options must be considered, e.g., the possibility of having a solidly grounded or floating neutral wire. The main goal of this research is to contribute with a generalization of Broyden’s method for the power flow solution in bipolar DC networks, with the main advantage that, under well-defined conditions, this is a numerical method equivalent to the matricial backward/forward power flow, which is equivalent to the successive approximations power flow method. Numerical results in the 21-, 33-, and 85-bus grids while considering two connections for the neutral wire (i.e., solidly grounded at any node or floating) show the effectiveness of Broyden’s method in the power flow solution for bipolar asymmetric DC networks. All numerical simulations were carried out in the MATLAB programming environment.
Adaptive Template Reconstruction for Effective Pattern Classification
Authors: Yang Su , Hoque Sanaul , Deravi Farzin
Published: July 2023

A novel instance-based algorithm for pattern classification is presented and evaluated in this paper. This new method is motivated by the challenge of pattern classifications where only limited and/or noisy training data are available. For every classification, the proposed system transforms the query data and the training templates based on their distributions in the feature space. One of the major novelties of the proposed method is the concept of template reconstruction enabling improved performance with limited training data. The technique is compared with similar algorithms and evaluated using both the image and time-series modalities to demonstrate its effectiveness and versatility. Two public image databases, FASHION-MNIST and CIFAR-10, were used to test its effectiveness for the classification of images using small amounts of training samples. An average classification improvement of 2~3% was observed while using a small subset of the training database, compared to the performances achieved by state-of-the-art techniques using the full datasets. To further explore its capability in solving more challenging classification problems such as non-stationary time-series electroencephalography (EEG) signals, a clinical grade 64-electrode EEG database, as well as a low-quality (high-noise level) EEG database, obtained using a low-cost system equipped with a single dry sensor, have also been used to test the algorithm. Adaptive reconstruction of the feature instances has been seen to have substantially improved class separation and matching performance for both still images and time-series signals. In particular, the method is found to be effective for the classification of noisy non-stationary data with limited training data volumes, indicating its potential suitability for a wide range of applications.
Soil-MobiNet: A Convolutional Neural Network Model Base Soil Classification to Determine Soil Morphology and Its Geospatial Location
Authors: Gyasi Emmanuel Kwabena , Purushotham Swarnalatha
Published: July 2023

Scholars have classified soil to understand its complex and diverse characteristics. The current trend of precision agricultural technology demands a change in conventional soil identification methods. For example, soil color observed using Munsell color charts is subjective and lacks consistency among observers. Soil classification is essential for soil management and sustainable land utilization, thereby facilitating communication between different groups, such as farmers and pedologists. Misclassified soil can mislead processes; for example, it can hinder fertilizer delivery, affecting crop yield. On the other hand, deep learning approaches have facilitated computer vision technology, where machine-learning algorithms trained for image recognition, comparison, and pattern identification can classify soil better than or equal to human eyes. Moreover, the learning algorithm can contrast the current observation with previously examined data. In this regard, this study implements a convolutional neural network (CNN) model called Soil-MobiNet to classify soils. The Soil-MobiNet model implements the same pointwise and depthwise convolutions of the MobileNet, except the model uses the weight of the pointwise and depthwise separable convolutions plus an additional three dense layers for feature extraction. The model classified the Vellore Institute of Technology Soil (VITSoil) dataset, which is made up of 4864 soil images belonging to nine categories. The VITSoil dataset samples for Soil-MobiNet classification were collected over the Indian states and it is made up of nine major Indian soil types prepared by experts in soil science. With a training and validation accuracy of 98.47% and an average testing accuracy of 93%, Soil-MobiNet showed outstanding performance in categorizing the VITSoil dataset. In particular, the proposed Soil-MobiNet model can be used for real-time soil classification on mobile phones since the proposed system is small and portable.
Channel Prediction-Based Security Authentication for Artificial Intelligence of Things
Authors: Qiu Xiaoying , Yu Jinwei , Zhuang Wenying , Li Guangda , Sun Xuan
Published: July 2023

The emerging physical-layer unclonable attribute-aided authentication (PLUA) schemes are capable of outperforming traditional isolated approaches, with the advantage of having reliable fingerprints. However, conventional PLUA methods face new challenges in artificial intelligence of things (AIoT) applications owing to their limited flexibility. These challenges arise from the distributed nature of AIoT devices and the involved information, as well as the requirement for short end-to-end latency. To address these challenges, we propose a security authentication scheme that utilizes intelligent prediction mechanisms to detect spoofing attack. Our approach is based on a dynamic authentication method using long short term memory (LSTM), where the edge computing node observes and predicts the time-varying channel information of access devices to detect clone nodes. Additionally, we introduce a Savitzky–Golay filter-assisted high order cumulant feature extraction model (SGF-HOCM) for preprocessing channel information. By utilizing future channel attributes instead of relying solely on previous channel information, our proposed approach enables authentication decisions. We have conducted extensive experiments in actual industrial environments to validate our prediction-based security strategy, which has achieved an accuracy of 97%.
Fatty Acid Profile and Oxidative Stability of Layers’ Egg Yolk as Affected by Dietary Supplementation with Fresh Purslane and Addition of Aromatic Plant Essential Oils to Drinking Water
Authors: Dotas Vassilios , Gourdouvelis Dimitrios , Symeon George , Hatzizisis Lampros , Mitsopoulos Ioannis , Galamatis Dimitrios , Ioannidou Maria , Sossidou Evangelia
Published: July 2023

The objective of this study was to investigate the possibility of producing eggs enriched in omega-3 polyunsaturated fatty acids (PUFA) while also increasing the oxidative stability of egg yolk. Here, 432 68-week-old Isa Brown layers were split into two groups of 216, consisting of three subgroups of 72 each. Group C was fed a standard corn–soybean meal diet, while Group P received the same basic diet with an additional 24 g of fresh purslane. In the drinking water of hens of the three subgroups of group C and the three subgroups of group P, either no essential oil (C-0, P-0) or 100 ppm of oregano essential oil (C-ORE, P-ORE) or 100 ppm of a blend of oregano, sage, and fennel essential oils (C-BLEND, P-BLEND) was administered. The purslane supplementation resulted in increased egg weight, improved yolk color, higher levels of α-linolenic and linoleic acids, and an improved omega-6/omega-3 nutritional index. The addition of essential oils resulted in a significant increase in the oxidative stability of the egg yolk, with the BLEND being the most effective. In conclusion, the combined administration of fresh purslane and essential oils of aromatic plants could be suggested for the production of eggs enriched in omega-3 PUFA, protected with natural antioxidants of plant origin.
Statistical Design of Eco-Friendly Mortar Mixtures Containing Scheelite Tailings and Quartzite Sand: Evaluation of Resistance to Alkali-Aggregate Reaction
Authors: Arruda Thainara de Lima , Costa Fabiana Pereira da , Diniz Rebeca Cavalcante , Rodrigues Alisson Mendes , Menezes Romualdo Rodrigues , Neves Gelmires de Araújo
Published: July 2023

This study focuses on addressing the challenge of society’s consumer demands through sustainable production processes, as outlined by Sustainable Development Goal 12 established by the United Nations. In this context, this study aims to assess the durability of eco-friendly mortars with mineral waste as alternative raw materials, considering the alkali-aggregate reaction (AAR). For this purpose, scheelite tailing (ST) was used to partially replace Portland cement (PC), and quartzite sand (QS) was used to fully replace conventional sand. The ST was ground and sieved (<75 μm), and part of it was used in its natural form, while the other part was calcined (1000 °C for 1 h). A mixture experimental design was created to select the compositions with the best mechanical performance. All the mortar mixtures were produced with a cementitious material to QS ratio of 1:3. Three mortar compositions (0% ST, 30% natural ST, and 30% calcined ST) were selected to study the resistance to the AAR. Linear expansion measurements, compressive strength tests, X-ray diffraction, thermogravimetric analysis, and scanning electron microscopy were conducted to evaluate the phases formed and the mechanical behavior of the mortars in relation to the AAR. The expansion results demonstrated that QS does not exhibit deleterious potential. Regarding the use of ST, the results indicated that it is possible to partially replace PC with calcined ST without significantly compromising the mechanical performance and durability of the mortars. However, the use of non-calcined ST is not recommended, as it presents deleterious effects on the mechanical properties of the mortars. This study highlights a new sustainable mortar alternative for use in construction without future degradation of its properties.
Managing Water for Environmental Provision and Horticultural Production in South Australia’s Riverland
Authors: Robinson Guy M. , Song Bingjie
Published: July 2023

This paper outlines and analyses preliminary research in South Australia’s Riverland, part of Australia’s largest river system, the Murray–Darling Basin, and one of the nation’s most important horticultural production areas. It focuses on the Renmark Irrigation Trust (RIT), which supplies water to c570 irrigators. Management of the Basin is controversial, with conflicting demands from stakeholders, including smallholder irrigators, broadacre farming, indigenous groups, and the environment. Climate change and the water market have contributed to uncertainty over environmental sustainability. Using sequential mixed methods, including a questionnaire survey, focus groups and interviews, we investigate the chief risks perceived by irrigators and their future-plans in face of concerns over variable water flows and economic uncertainty. We highlight the RIT’s contribution to river restoration and investigate its plans for additional on-farm water stewardship. We reveal high levels of uncertainty among irrigators regarding their future viability, including unintended consequences from the water market, the controversial role of water brokers, and environmental viability of the river system. The growth of ‘lifestyle blocks’ occupied by hobby farmers has added both to landscape diversity and fragmentation. To maintain a resilient horticultural industry, there may need to be adjustments to water management in the Basin to protect smallholders’ livelihoods whilst continuing to meet specified environmental needs.
Green Development Level Evaluation of Urban Engineering Construction in the Mid-Low Reaches of Yangtze River, China
Authors: Mo Danbei , Huang Liang , Zeng Linghong
Published: July 2023

Urban engineering construction represents the physical construction aspects of urban areas and is recognized as an important carrier for green city. With the rapid pace of urbanization, the conventional construction mode is no longer sufficient to meet the requirements of achieving a beautiful China. As a result, promoting the green development for urban engineering construction (GDUC) has become an vital initiative to facilitate the green transformation and sustainable development of cities. This paper adopts the comprehensive evaluation model and super-efficiency slacks-based measure model to evaluate and demonstrate the status and efficiency of GDUC in the Mid-Low reaches of Yangtze River (MLRYR) from 2011 to 2020. The results show a consistent increase in both the status and efficiency of GDUC in the MLRYR during the study period, with a more noticeable changes observed in status than efficiency. In addition, the development of status exhibits distinct phases on the time scale, while the development of efficiency shows prominent differences on the spatial scale. The level stages and significant factors of GDUC are analyzed through a comprehensive evaluation considering two dimensions: status and efficiency. Given these results, in order to further promote the level of regional GDUC in China, several countermeasures and suggestions are put forward from the following aspects: perfecting the status of urban physical construction, enhancing the efficiency of engineering economic production, and strengthening communication and collaboration within urban regions.
Fiscal and Tax Policies, Access to External Financing and Green Innovation Efficiency: An Evaluation of Chinese Listed Firms
Authors: Xu Jiahui , Ng Chee-Pung , Sam Toong Hai , Vasudevan Asokan , Tee Poh Kiong , Ng Alex Hou Hong , Hoo Wong Chee
Published: July 2023

China has placed significant importance on the development of a circular economy and achievement of sustainable prosperity. It employs multiple fiscal and tax policies to facilitate clean production and improve resource efficiency by fostering corporate green innovation. Policy signalling boosts companies’ external funding, including debt and equity. As such, this research focuses on how government subsidies and tax incentives influence corporate green innovation efficiency, accounting for the mediating roles of debt financing and equity financing. Under the SBM model, we utilise the Luenberger index to quantify green innovation efficiency. In addition, the fixed-effect regression with 19,228 firm-year observations from 3549 firms between 2015 and 2021 is used. Based on empirical findings, government subsidies reduce green innovation efficiency, while tax incentives increase it. In addition, debt financing mediates the association between tax incentives and corporate green innovation efficiency. Furthermore, government subsidies and tax incentives play more significant roles in non-state-owned enterprises (non-SOEs) and for businesses in growing and mature stages than other listed firms. To improve access to external financing and green innovation efficiency, it is suggested that the government implement various government subsidies or tax incentives according to business characteristics, with each company applying policies customised to its specific circumstances.
Elasto-Plastic Solution for a Circular Lined Tunnel Considering Yield Criteria for Surrounding Rock and Functionally Graded Lining in Cold-Region Tunnels
Authors: Du Jianming , Zhang Xuan , Wang Hualao
Published: July 2023

Tunnel construction plays an important role in the sustainable development of the socio-economic framework of the country. With the rapid development of the economy and the expansion of the transportation network in western China, numerous tunnels will inevitably be constructed in cold regions in the future. In order to analyze the mechanical properties of lined tunnels in cold regions from a new theoretical perspective, an elasto-plastic mechanical model of a circular lined tunnel is proposed, considering several yield criteria for the surrounding rock and the functionally graded feature of the lining. The proposed model is compared with an existing model and test results obtained by other researchers, and a satisfactory agreement is obtained. The influence of the main model parameters on the plastic zone, the radial pressure acting on the outer surface of the lining, and the stress and displacement fields is further explored. The circumferential stresses in the lining zone calculated using the DP3 criterion are the largest, and the ones with the MO criterion are the smallest. The influence of the yield criterion on the displacement fields in the frozen zone decreases with the increase in the distance from the tunnel. The circumferential stresses and radial displacements in the lining zone and frozen zone increase with the increase in the radial pressure acting on the inner surface of the lining. The research results can provide useful insight into the design and construction of tunnels in cold regions.
An Anti-Condensation Radiant Heating Floor System in Buildings under Moistening Weather
Authors: Hu Rong , Liang Jincan , Lan Ting , Yin Yingde , Liu Gang
Published: July 2023

In most regions of southern China, condensation frequently occurs on building surfaces during the period from March to April. This phenomenon has been affecting people’s safety and structural properties. This article proposes an innovative anti-condensation floor system based on the reverse Carnot cycle. The evaporation side treats the air and reduces the moisture content, and the heat extracted from the condensation side is recovered by a heat exchanger and transferred to the floor through capillary mats. Simulation studies of the dynamic operation performance have been conducted through the TRNSYS 18 software. The results show that an innovative anti-condensation floor system can effectively keep the floor dry in Guilin. At the same time, regarding the indoor comfort level index, the PMV value is within ±0.5, and the energy consumption of the system is 42% less than that of the cooling dehumidification system. The system also performs well in representative cities where the air moisture content is less than 12 g/kg. This article also provides a reference for the feasibility of radiant floor systems in humid climate areas.
Post-Earthquake Scheduling of Rescuers: A Method Considering Multiple Disaster Areas and Rescuer Collaboration
Authors: Cao Pingping , Zheng Jin , Li Mingyang
Published: July 2023

Reasonable and efficient scheduling of rescuers plays a crucial role in earthquake emergency relief, which can effectively reduce disaster losses and promote social stability and sustainable development. Due to the suddenness of disasters, the urgency of time, and the complexity of rescue efforts, scheduling of rescuers often involves multiple disaster areas, multiple departure areas, and diverse rescue tasks. However, most existing studies have paid little attention to the scheduling problem of rescuers considering multiple disaster areas, multiple departure areas, and multiple rescue tasks and have not comprehensively considered the collaboration of rescuers and task requirements. Thus, how to reasonably dispatch rescuers to disaster areas by considering the collaboration of rescuers and task needs is a noteworthy research problem. The objective of this paper is to propose a method considering multiple disaster areas and the collaboration of rescuers to solve the scheduling problem of rescuers after earthquakes. Firstly, the collaborative degrees of rescuers are calculated according to the collaborative performance among rescuers concerning collaborative feature indicators. Secondly, according to the performance of rescuers concerning professional skill evaluation indicators, the professional abilities of rescuers are calculated, and the comprehensive performance indicators for rescuers are obtained by aggregating the collaborative degrees and the professional abilities of rescuers. Thirdly, the time satisfaction degrees are calculated based on the times taken by rescuers from different departure areas to disaster areas and the time requirements of disaster areas. Then, the time satisfaction degrees and the comprehensive performance of rescuers are aggregated to obtain the comprehensive matching degrees. Furthermore, a rescuer scheduling model for earthquake emergency rescue is constructed to maximize the comprehensive matching degrees between rescuers and rescue tasks, and the optimal scheduling scheme is determined by solving the model. Finally, a case study and comparative analyses are presented to verify the rationality and feasibility of the proposed method. The results show that the proposed method can reasonably assign rescuers to quickly respond to the needs of rescue tasks in disaster areas, and is better than the other two methods in terms of rescue comprehensive capability evaluation. The proposed method can provide decision support for solving the post-earthquake scheduling problem of rescuers and help to improve the emergency response ability for large-scale geological disaster events.
A Hybrid Algorithm for Multi-Objective Optimization—Combining a Biogeography-Based Optimization and Symbiotic Organisms Search
Authors: Li Jun , Guo Xinxin , Yang Yongchao , Zhang Qiwen
Published: July 2023

To solve the multi-objective, flexible job-shop scheduling problem, the biogeography-based optimization (BBO) algorithm can easily fall into premature convergence, local optimum and destroy the optimal solution. Furthermore, the symbiotic organisms search (SOS) strategy can be introduced, which integrates the mutualism strategy and commensalism strategy to propose a new migration operator. To address the problem that the optimal solution is easily destroyed, a parasitic natural enemy insect mechanism is introduced, and predator mutation and parasitic mutation strategies with symmetry are defined, which can be guided according to the iterative characteristics of the population. By comparing with eight multi-objective benchmark test functions with four multi-objective algorithms, the results show that the algorithm outperforms other comparative algorithms in terms of the convergence of the solution set and the uniformity of distribution. Finally, the algorithm is applied to multi-objective, flexible job-shop scheduling (FJSP) to test its practical application value, and it is shown through experiments that the algorithm is effective in solving the multi-objective FJSP problem.
Enhancing Security and Efficiency in Underwater Wireless Sensor Networks: A Lightweight Key Management Framework
Authors: Shah Sabir , Munir Asim , Waheed Abdul , Alabrah Amerah , Mukred Muaadh , Amin Farhan , Salam Abdu
Published: July 2023

Underwater Wireless Sensor Networks (UWSNs) obtains more attention due to their wide range of applications such as underwater oil field discovery, Tsunami monitoring systems, surveillance systems, and many more. In such a resource-constrained environment, sensors are more vulnerable to malicious attacks. Node authentication and secure communication is one of the vital issues in UWSNs. In this study, a secure and lightweight key management framework for UWSNs is proposed. The proposed framework includes key generation, key distribution, revocation, and authentication mechanisms along with lightweight implementation, and scalability. We use an elliptic curve-based algorithm for key distribution, and certificate revocation list (CRL) for key revocation. We also examine the performance of the proposed framework taking into account the amount of communication overhead as well as the level of security. The simulation results show that the proposed framework provides better security with less communication overhead compared to existing frameworks. This framework can be used for secure data communication in UWSNs, which has various applications in oceanography, environmental monitoring, and military operations.
Cleaning Big Data Streams: A Systematic Literature Review
Authors: Alotaibi Obaid , Pardede Eric , Tomy Sarath
Published: July 2023

In today’s big data era, cleaning big data streams has become a challenging task because of the different formats of big data and the massive amount of big data which is being generated. Many studies have proposed different techniques to overcome these challenges, such as cleaning big data in real time. This systematic literature review presents recently developed techniques that have been used for the cleaning process and for each data cleaning issue. Following the PRISMA framework, four databases are searched, namely IEEE Xplore, ACM Library, Scopus, and Science Direct, to select relevant studies. After selecting the relevant studies, we identify the techniques that have been utilized to clean big data streams and the evaluation methods that have been used to examine their efficiency. Also, we define the cleaning issues that may appear during the cleaning process, namely missing values, duplicated data, outliers, and irrelevant data. Based on our study, the future directions of cleaning big data streams are identified.
Maidenhood as a phenomenon of Russian noble culture of the 18th – mid-19th centuries and its modern metamorphoses
Authors:   Herzen State Pedagogical University, St. Petersburg, Merzheevskaya Arina Dmitrievna ,   Department of Theory and History of Culture, Herzen State Pedagogical University
Published: July 2023

The purpose of this article is a gender cultural study of one of the stages of the life cycle of Russian noblewomen — maidenhood, its characteristics and features distinctive from any other period of a woman's life. It is especially important to analyze the phenomenon of maidenhood in Russian noble culture in the 18th — mid-19th centuries through the study of aspects of self-identification and physicality, as well as the heritage of this culture in the modern world.
THE PROBLEM OF DEFINING THE WORLDVIEW PARADIGM OF GRIGORY SKOVORODA’S PHILOSOPHY (CRITICAL AND COMPARATIVE ANALYSIS)
Authors: Sheiko S. , Ilchenko A.
Published: July 2023

The article attempts to define a worldview paradigm in the philosophy of H. Skovoroda. In historical and philosophical studies, there is a certain difference of opinion regarding the evaluation of the main provisions of the Ukrainian’s enlightener philosophy. Scientists emphasize the manifestations of pantheism, dualism, pluralism and mysticism in the work of H. Skovoroda. This is a palette of mutually exclusive definitions of the main philosophies of the thinker.The conducted critical analysis of the Skovoroda’s philosophical heritage allows us to reveal the deistic direction of his worldview positions. However, compared to the conceptual presentation of deism by the founder of the French Enlightenment of the 18th century, F. Walter, the philosophical deistic positions of H. Skovoroda have their own characteristics. The deistic tendencies of Walter’s worldview are based on the principles of rationalism. They permeate the foundations of his theoretical and practical philosophy. The Ukrainian enlightener’s principle of deism is based on manifestations of the highest divine wisdom. They include rational forms of existence and knowledge, spiritual and practical, moral foundations of human existence.
MANAJEMEN STRATEGI PENERAPAN KEBIJAKAN KURIKULUM 2013 OLEH DINAS PENDIDIKAN PEMUDA DAN OLAHRAGA KABUPATEN KARAWANG
Authors: Rahmasari Annisa Ayu , Yulyana Eka , Febriantin Kariena
Published: July 2023

This research is aimed to explain the management strategy of the Department of Education Youth and Sports in implementing policies curriculum 2013 at the school level of junior high school in the District Karawang, which focuses on : the formulation of strategies, implementation strategies, and evaluation of strategies for the success of the policy of curriculum 2013. Methods were used in the study is that the method qualitatively with the model descriptive. Data were collected through the study of literature, observation, and interviews. The informant came from the education office and the school which consisted of principals, teachers, and students who were selected purposively. The result of this study indicate that it is in stage formulation of a strategy, basic guidelines for the implementation of the policy of the curriculum in 2013 is planning the implementation of the curriculum in 2013, strengthening the source of the power main and supporting, strengthening learning at school, and strengthening and monitoring and evaluation. Forms of socialization that is done, namely in the form of training and mentoring. In stage implementation strategy, long-term and short-term has been appropriate and in support with the availability of facilities and infrastructure that support and increase the quality of labor educator for the success of the implementation of the policy of curriculum 2013. SMP N 5 Karawang Barat become one of the pilot project of the implementation of the policy curriculum 2013. Outcome implementation of policies curriculum in 2013 can be seen on a number of quality graduates and the percentage of graduation at students of SMP N 5 Karawang Barat. In the phase of evaluation of the strategy the department has been able to overcome the obstacles that exist by way of involving teachers in activities of training, the discipline of the personnel both teachers and participants of learners more enhanced, facilities and infrastructure that is equipped.

 Keywords: Strategy Management, Policy Implementation, Curriculum 2013 .
Proses Komunikasi Interpersonal Terapis dan Anak Berkebutuhan Khusus untuk Meningkatkan Kemampuan Berkomunikasi
Authors: Rahayuni Silvia , Ningsih Tri Wahyu Retno
Published: July 2023

Komunikasi interpersonal merupakan proses komunikasi yang berlangsung di antara dua orang atau lebih yang mempunyai hubungan kedekatan satu sama lain. Teori yang digunakan dalam penelitian ini adalah teori interaksi simbolik. Penelitian ini bertujuan untuk menganalisis proses komunikasi interpersonal antara terapis dan anak berkebutuhan khusus. Penelitian ini menggunakan metode kualitatif dengan pendekatan deskriptif dan paradigma konstruktivis. Teknik pengumpulan data yang digunakan yaitu wawancara, observasi, dokumentasi dan studi pustaka. Dalam penelitian ini terdapat tiga terapis yang menjadi informan untuk diwawancarai dan enam sampel anak berkebutuhan khusus dengan berbagai jenis gangguan. Hasil penelitian ini menunjukkan bahwa proses komunikasi yang dilakukan terapis kepada anak berkebutuhan khusus di Sahabat Kecil Therapy & Learning Center perlu dilakukan pendekatan secara interpersonal. Pada saat terapi pun, terapis akan melakukan bonding kepada anak yaitu proses komunikasi melalui ikatan emosional. Hambatan dalam proses komunikasi interpersonal terapis dengan anak berkebutuhan khusus yaitu anak berkebutuhan khusus terkadang mengalami naik turun mood sehingga mengalami tantrum dan bisa dari orang tua anak tersebut yang kurang dapat diajak kerja sama untuk melakukan kegiatannya kembali dirumah.
The Analisis Komunikasi Interaksionisme Simbolik Festival
Authors: Kaligis Carlita Grace Caesaria , Suharto Bambang , Isnaini Santi , Agustina Tri Siwi
Published: July 2023

Festival merupakan salah satu aktivitas untuk melesetarikan suatu budaya. Terdapat banyak ragam budaya festival di Indonesia, salah satunya adalah Tomohon International Flower Festival (TIFF) yang menjadi acara besar setiap tahunnya. Festival ini menampilkan keindahan bunga dan tanaman hias dari seluruh Indonesia dan juga dari luar negeri. Riset ini bertujuan untuk menganalisis simbol dan makna seperti bunga, pakaian adat, tarian, dan musik digunakan untuk memperkuat identitas lokal dan memberikan pengalaman yang berbeda bagi pengunjung. Metodelogi yang digunakan dalam riset ini adalah studi kasus dilakukan pada festival yang diadakan di Kota Tomohon, Sulawesi Utara, Indonesia. Riset ini menggunakan metode pendekatan kualitatif-deskriptif dengan teknik pengumpulan data melalui wawancara mendalam dan observasi dengan teknik purposive sampling terhadap beberapa orang yang terlibat dalam acara tersebut, seperti pengunjung, peserta, dan panitia. Hasil menunjukkan bahwa TIFF memiliki ragam simbol dan makna budaya yang menjadi identitas kota Tomohon. Komunikasi interaksionisme simbolik pada Tomohon International Flower Festival (TIFF) juga menciptakan atmosfer yang positif dan memperkuat hubungan sosial di antara mereka. Maka dapat disimpulkan bahwa komunikasi interaksionisme simbolik memiliki peran yang penting dalam memahami interaksi sosial dalam konteks festival.

 

Kata Kunci: Komunikasi, interaksionisme simbolik, festival
PENGARUH PENGARUH HARGA MINYAK DUNIA, RATA-RATA INDUSTRI DOW JONES DAN INDEKS HANG SENG TERHADAP INDEKS HARGA SAHAM GABUNGAN PERIODE 2017-2021
Authors: Deane Wafa Fazzah , Ismawati Linna
Published: July 2023

Penelitian ini bertujuan untuk mengetahui pengaruh Harga Minyak Dunia, Rata- rata Industri Dow Jones dan Indeks Hang Seng baik secara parsial maupun secara simultan terhadap Indeks Harga Saham Gabungan dan untuk mengetahui perkembangan pada masing-masing variabel. Metode penelitian yang digunakan adalah metode deskriptif dan verifikatif dengan pendekatan kuantitatif. Sedangkan data yang digunakan adalah data sekunder yang meliputi data Harga Minyak Dunia, Rata-rata Industri Dow Jones, Indeks Hang Seng dan Indeks Harga Saham Gabungan. Teknik pengambilan sample menggunakan metode Purposive sampling dengan data bulanan dari bulan Januari 2017 sampai dengan bulan Desember 2021. Rancangan analisis yang digunakan adalah analisis regresi berganda, pengujian asumsi klasik, analisis koefisiensi korelasi dan analisis koefisiensi determinasi dan untuk pengujian hipotesis menggunakan Uji T dan Uji F dengan program aplikasi SPSS v25. Hasil penelitian menunjukkan bahwa secara parsial Harga Minyak Dunia berpengaruh positif dan signifikan terhadap Indeks Harga Saham Gabungan. Rata-rata Industri Dow Jones tidak berpengaruh dan tidak signifikan terhadap Indeks Harga Saham Gabungan. Indeks Hang Seng berpengaruh positif dan signifikan terhadap Indeks Harga Saham Gabungan. Dan secara simultan Harga Minyak Dunia, Rata-rata Industri Dow Jones, dan Indeks Hang Seng berpengaruh terhadap Indeks Harga Saham Gabungan.
PENGARUH PEMERIKSAAN PAJAK DAN SELF ASSESMENT SYSTEM TERHADAP PENGGELAPAN PAJAK (STUDI KASUS PADA KANTOR PELAYANAN PAJAK PRATAMA BANDUNG CIBEUNYING)
Authors: Dewi Neng Diah Sukma , Febriansyah Angky
Published: July 2023

Tujuan dari penelitian ini untuk mengidentifikasi sistem pemeriksaan pajak dan self assessment system di KPP Pratama Cibeunying kota Bandung. Pendekatan penelitian yang digunakan dalam penelitian ini adalah analisis deskriptif dan verifikatif dengan menggunakan data primer. Teknik pengambilan sampel yang digunakan adalah purposive sampling. Analisis statistik yang digunakan dalam penelitian ini adalah uji hipotesis klasik, uji validitas, uji reliabilitas dan analisis regresi linier berganda. Populasi dan sampel dalam penelitian ini sebanyak 100 responden. Teknik pengambilan sampel yang ditargetkan digunakan dalam pengambilan sampel sumber yang diperoleh melalui penyelesaian kuesioner yang diproses oleh perangkat lunak SPSS versi 29.0. Hasil penelitian menunjukkan bahwa pemeriksaan pajak dan self assessment system berdampak pada penggelapan pajak di KPP Pratama Cibeunying Kota Bandung.
Autocontención y humanidad fronteriza
Authors: Barzola Elizagaray Pehuén , Agoglia Ofelia , Arcos Camilo , Gelman Mariela
Published: July 2023

La saturación ecológica del planeta a la que hemos llegado hace insostenible el actual modo de vida de la humanidad, por lo que es necesario tomar medidas drásticas para reinsertar nuestras prácticas dentro de los límites biofísicos que nos impone. Para ello, es necesario hacer frente a dos tendencias de nuestra sociedad, que en la obra de Jorge Riechmann se desarrollan como: consumo desmedido y humanidad en fuga. Contra éstas, el autor propone la autocontención –una ética de la suficiencia– y el desarrollo de una humanidad fronteriza. El diálogo entre esta teoría y otros autores de la corriente crítica nos permite desentrañar las características de la sociedad actual que causan estas tendencias autodestructivas, como así también los principios filosóficos que sustentan la propuesta del autor. Consideramos que la humanidad fronteriza que propone Riechmann no debe fabricarse desde cero, en cambio, puede encontrarse en los márgenes de la civilización occidental, donde los modos de vida se han desarrollado históricamente dentro de los límites biofísicos que impone su ambiente. Nos referimos a países del sur global, culturas ancestrales y campesinas, que son menospreciadas por el pensamiento dominante de la modernidad tardía, muchas veces bajo el mote de barbarie, y que, no obstante, cumplen con los principios éticos desarrollados en este trabajo.
Approximate reasoning and the ethnomathematics of cooking
Authors: Mani A.
Published: July 2023

Several methods of approximate reasoning are known, and many remain to be discovered across domains. Some are tied to reasoning with uncertainty. The developments over the last fifty years or so in the development of approximate reasoning methods, and their application across multiple STEM domains, suggest that it is necessary to introduce them early in school. Whileefforts towards building the infrastructure for the process have been limited, the bigger question is “What should be introduced?”. If concepts are always approximated in real life, then how should they be done mathematically? If thereal numbers are not always necessary to approximate concepts or even quantities, then how should they be approximated, and what should be taught in schools? Specifically, functional representations of approximate reasoning are notintroduced early. This additionally impedes diversity, ethnomathematical explorations, learning from experience, and through models. The objective of this research is to explain the problem with a focus on the ethnomathematics of cooking, and associated haptic methods. Further, it is argued through the context that of the many approaches to approximate reasoning, intrusive methods are best avoided, and that general rough sets is better suited for modeling such knowledge. Intrusive methods, such as those based on fuzzy or probability theory, are those that indulge in an excess of unjustified numeric assumptions. This builds on earlier work of the present author on modeling approximate reasoning. Her axiomatic approach to granularity are additionally applicable to approximate recipes that possess desired properties. In the contexts of ethnomathematical discourse involving haptic reasoning (as in cooking), it is shown that such an approach can model the essence of context without oversimplifications or outright dismissal of the efforts involved. Further, it has the potential to help in inventing expressive structured languages for the ethnomathematics, and associated model eliciting activities. Distinct facets of three specific contexts are theoretically explored to illustrate aspects of the reasoning, and meta aspects.
Os Moxihatëtë Thëpë e a Educação Matemática?
Authors: Tuchapesk da Silva Michela , Tamayo Carolina , Gomes Souza Elizabeth
Published: July 2023

A floresta amazônica é um espaço disputado por diferentes atores, que possuem distintas formas de entendimento e relações com a floresta. Essas diferenças se tensionam, pois se de um lado, a terra e seus seres naturais são entendidos como ‘recursos’ que podem ser explorados a partir de uma lógica privada, por outro lado, para o povo Moxihatëtë thëpë da amazônia - povo Yanomami-, os seres humanos são coabitantes da terra-floresta, entendida como um ser vivo composto de incontáveis seres vivos. Os seres humanos não possuem privilégios ontológicos em relação aos demais seres. Para o Yanomami é estranha a possibilidade de se pensar o espaço/território a partir de um viés de propriedade e/ou exploração. Assim, considerando a medida emergencial e humanitária decretada para salvaguardar ao povo Yanomami, devido aos efeitos da exploração da mineração ilegal, agudizada durante os últimos quatro anos pelo desprezo do poder público, o objetivo desta escrita é ‘denunciar’ discursos colonialistas que permeiam a Educação Matemática como campo de pesquisa para ‘anunciar’, no sentido freiriano (1997), modos decoloniais de praticar a pesquisa e o ensino de matemáticas que promovam a justiça social e outras relações com a Mãe Terra. Este interesse nasce do nosso lugar como mulheres latinoamericanas, como educadoras matemáticas e formadoras de professores nos cursos

de Formação Intercultural para Educadores Indígenas (UFMG), Educação do Campo (UFMG), Licenciatura em Pedagogia (UFMG/FEUSP), Licenciatura integrada em Ciências, Matemática e Linguagens (UFPA) e Licenciatura em Matemática (UFMG/FEUSP). Colocamos a crise sanitária e humanitária Yanomami no foco da Educação Matemática, por  entendermos a importância do campo tomar partido pela vida, pela luta e pela resistência dos povos da floresta que sofrem até hoje com o padrão de poder instituído pela modernidade/colonialidade. Problematizamos a invisibilização dos conhecimentos sobre a floresta dos povos originários nos currículos de matemática -escolares e universitários- visto que contribui com a manutenção de políticas econômicas capitalistas que encontram fundamento na dicotomia entre humanos e outros seres da natureza. Elegemos o “Bem Viver” dos povos originários como uma política ontológica, econômica, social e educacional outra, que promove a decolonização dos modos imperialistas de ocupar a Mãe Terra e de se produzir conhecimento.