bluuebunny/crossref_metadata_2025 huggingface dataset:
Triboelectric Contact Localization Electronics: A Systematic Review
Authors: Xu Wei , Ren Qingying , Li Jinze , Xu Jie , Bai Gang , Zhu Chen , Li Wei
Published: January 2024

The growing demand from the extended reality and wearable electronics market has led to an increased focus on the development of flexible human-machine interfaces (HMI). These interfaces require efficient user input acquisition modules that can realize touch operation, handwriting input, and motion sensing functions. In this paper, we present a systematic review of triboelectric-based contact localization electronics (TCLE) which play a crucial role in enabling the lightweight and long-endurance designs of flexible HMI. We begin by summarizing the mainstream working principles utilized in the design of TCLE, highlighting their respective strengths and weaknesses. Additionally, we discuss the implementation methods of TCLE in realizing advanced functions such as sliding motion detection, handwriting trajectory detection, and artificial intelligence-based user recognition. Furthermore, we review recent works on the applications of TCLE in HMI devices, which provide valuable insights for guiding the design of application scene-specified TCLE devices. Overall, this review aims to contribute to the advancement and understanding of TCLE, facilitating the development of next-generation HMI for various applications.
Data Science for Health Image Alignment: A User-Friendly Open-Source ImageJ/Fiji Plugin for Aligning Multimodality/Immunohistochemistry/Immunofluorescence 2D Microscopy Images
Authors: Piccinini Filippo , Tazzari Marcella , Tumedei Maria Maddalena , Stellato Mariachiara , Remondini Daniel , Giampieri Enrico , Martinelli Giovanni , Castellani Gastone , Carbonaro Antonella
Published: January 2024

Most of the time, the deep analysis of a biological sample requires the acquisition of images at different time points, using different modalities and/or different stainings. This information gives morphological, functional, and physiological insights, but the acquired images must be aligned to be able to proceed with the co-localisation analysis. Practically speaking, according to Aristotle’s principle, “The whole is greater than the sum of its parts”, multi-modal image registration is a challenging task that involves fusing complementary signals. In the past few years, several methods for image registration have been described in the literature, but unfortunately, there is not one method that works for all applications. In addition, there is currently no user-friendly solution for aligning images that does not require any computer skills. In this work, DS4H Image Alignment (DS4H-IA), an open-source ImageJ/Fiji plugin for aligning multimodality, immunohistochemistry (IHC), and/or immunofluorescence (IF) 2D microscopy images, designed with the goal of being extremely easy to use, is described. All of the available solutions for aligning 2D microscopy images have also been revised. The DS4H-IA source code; standalone applications for MAC, Linux, and Windows; video tutorials; manual documentation; and sample datasets are publicly available.
Towards a Miniaturized Photoacoustic Sensor for Transcutaneous CO2 Monitoring
Authors: El-Safoury Mahmoud , Weber Christian , Yassine Hassan , Wöllenstein Jürgen , Schmitt Katrin
Published: January 2024

A photoacoustic sensor system (PAS) intended for carbon dioxide (CO2) blood gas detection is presented. The development focuses on a photoacoustic (PA) sensor based on the so-called two-chamber principle, i.e., comprising a measuring cell and a detection chamber. The aim is the reliable continuous monitoring of transcutaneous CO2 values, which is very important, for example, in intensive care unit patient monitoring. An infrared light-emitting diode (LED) with an emission peak wavelength at 4.3 µm was used as a light source. A micro-electro-mechanical system (MEMS) microphone and the target gas CO2 are inside a hermetically sealed detection chamber for selective target gas detection. Based on conducted simulations and measurement results in a laboratory setup, a miniaturized PA CO2 sensor with an absorption path length of 2.0 mm and a diameter of 3.0 mm was developed for the investigation of cross-sensitivities, detection limit, and signal stability and was compared to a commercial infrared CO2 sensor with a similar measurement range. The achieved detection limit of the presented PA CO2 sensor during laboratory tests is 1 vol. % CO2. Compared to the commercial sensor, our PA sensor showed less influences of humidity and oxygen on the detected signal and a faster response and recovery time. Finally, the developed sensor system was fixed to the skin of a test person, and an arterialization time of 181 min could be determined.
Scale-Fractal Detrended Fluctuation Analysis for Fault Diagnosis of a Centrifugal Pump and a Reciprocating Compressor
Authors: Medina Ruben , Sánchez René-Vinicio , Cabrera Diego , Cerrada Mariela , Estupiñan Edgar , Ao Wengang , Vásquez Rafael E.
Published: January 2024

Reciprocating compressors and centrifugal pumps are rotating machines used in industry, where fault detection is crucial for avoiding unnecessary and costly downtime. A novel method for fault classification in reciprocating compressors and multi-stage centrifugal pumps is proposed. In the feature extraction stage, raw vibration signals are processed using multi-fractal detrended fluctuation analysis (MFDFA) to extract features indicative of different types of faults. Such MFDFA features enable the training of machine learning models for classifying faults. Several classical machine learning models and a deep learning model corresponding to the convolutional neural network (CNN) are compared with respect to their classification accuracy. The cross-validation results show that all models are highly accurate for classifying the 13 types of faults in the centrifugal pump, the 17 valve faults, and the 13 multi-faults in the reciprocating compressor. The random forest subspace discriminant (RFSD) and the CNN model achieved the best results using MFDFA features calculated with quadratic approximations. The proposed method is a promising approach for fault classification in reciprocating compressors and multi-stage centrifugal pumps.
Deep-Learning-Based Real-Time Visual Pollution Detection in Urban and Textile Environments
Authors: Titu Md Fahim Shahoriar , Chowdhury Abdul Aziz , Haque S. M. Rezwanul , Khan Riasat
Published: January 2024

The environmental physiognomy of an area can significantly diminish its aesthetic appeal, rendering it susceptible to visual pollution, the unbeaten scourge of modern urbanization. In this study, we propose using a deep learning network and a robotic vision system integrated with Google Street View to identify streets and textile-based visual pollution in Dhaka, the megacity of Bangladesh. The issue of visual pollution extends to the global apparel and textile industry, as well as to various common urban elements such as billboards, bricks, construction materials, street litter, communication towers, and entangled electric wires. Our data collection encompasses a wide array of visual pollution elements, including images of towers, cables, construction materials, street litter, cloth dumps, dyeing materials, and bricks. We employ two open-source tools to prepare and label our dataset: LabelImg and Roboflow. We develop multiple neural network models to swiftly and accurately identify and classify visual pollutants in this work, including Faster SegFormer, YOLOv5, YOLOv7, and EfficientDet. The tuna swarm optimization technique has been used to select the applied models’ final layers and corresponding hyperparameters. In terms of hardware, our proposed system comprises a Xiaomi-CMSXJ22A web camera, a 3.5-inch touchscreen display, and a Raspberry Pi 4B microcontroller. Subsequently, we program the microcontroller with the YOLOv5 model. Rigorous testing and trials are conducted on these deep learning models to evaluate their performance against various metrics, including accuracy, recall, regularization and classification losses, mAP, precision, and more. The proposed system for detecting and categorizing visual pollution within the textile industry and urban environments has achieved notable results. Notably, the YOLOv5 and YOLOv7 models achieved 98% and 92% detection accuracies, respectively. Finally, the YOLOv5 technique has been deployed into the Raspberry Pi edge device for instantaneous visual pollution detection. The proposed visual pollutants detection device can be easily mounted on various platforms (like vehicles or drones) and deployed in different urban environments for on-site, real-time monitoring. This mobility is crucial for comprehensive street-level data collection, potentially engaging local communities, schools, and universities in understanding and participating in environmental monitoring efforts. The comprehensive dataset on visual pollution will be published in the journal following the acceptance of our manuscript.
Differences in the Levels of Physical Activity and Sport Habits between Men and Women in Cartagena (Spain)
Authors: Armada Celia , Sánchez-Alcaraz Bernardino Javier , Courel-Ibáñez Javier , Segarra-Vicens Eduardo
Published: January 2024

Scientific evidence proves the importance of physical activity and sports in decreasing morbidity and mortality rates and health-related costs. Public and stakeholder involvement is vital in the sustainable promotion of physical activity and sports practice in local settings. The aim of this study was to identify the levels of physical activity and sports habits of the population of the city Cartagena (Spain). The short version of the International Questionnaire of Physical Activity was used (IQPA) and a virtual questionnaire on sports habits was sent to 1450 citizens. Responses from 248 people (162 men and 86 women), with ages ranging from 18 to 77 years old (average age = 41 ± 17 years old), were collected. The results showed low to moderate levels of physical activity with no considerable differences between men and women for the population of Cartagena. Women were shown to engage in higher intensity practice of physical activity, whereas men were shown to be more consistent and have a significantly higher participation rate in sports events, both those with free entry and those that require the acquisition of a ticket. Men were also shown to have a higher rate of media sport use. This information may assist in the development of effective political actions to promote physical activity and sports in local settings.
Precise Tensor Product Smoothing via Spectral Splines
Authors: Helwig Nathaniel E.
Published: January 2024

Tensor product smoothers are frequently used to include interaction effects in multiple nonparametric regression models. Current implementations of tensor product smoothers either require using approximate penalties, such as those typically used in generalized additive models, or costly parameterizations, such as those used in smoothing spline analysis of variance models. In this paper, I propose a computationally efficient and theoretically precise approach for tensor product smoothing. Specifically, I propose a spectral representation of a univariate smoothing spline basis, and I develop an efficient approach for building tensor product smooths from marginal spectral spline representations. The developed theory suggests that current tensor product smoothing methods could be improved by incorporating the proposed tensor product spectral smoothers. Simulation results demonstrate that the proposed approach can outperform popular tensor product smoothing implementations, which supports the theoretical results developed in the paper.
Temporal—Spatial Changes in Vegetation Coverage under Climate Change and Human Activities: A Case Study of Central Yunnan Urban Agglomeration, China
Authors: Li Yijiao , Song Yuhong , Cao Xiaozhu , Huang Linyun , Zhu Jianqun
Published: January 2024

Analyzing vegetation cover provides a basis for detecting ecological and environmental health in urban areas. We analyzed the temporal and spatial changes in vegetation cover using NDVI data from the central Yunnan urban agglomeration (CYUA). The dimidiate pixel model (DPM) and intensity analysis were used to study changes at three levels: time intervals, category, and transition. Analysis of time series data from 1990–2020 using the Theil–Sen Median with Mann–Kendal test identified the overall trends. Geodetector explored the relationship between natural and human factors in vegetation cover change. The CYUA’s vegetation cover gradually decreases from west to east and south to north, with middle–high and high vegetation occupying over 55%. During 1990–2020, significant improvement was observed in the east and north regions, with an increase of 22.49%. The anthropogenic core area showed severe degradation with nearly 1.56% coverage. The transformation intensity of middle vegetation coverage was dominant from 1990–2010 but was replaced by middle–high vegetation coverage from 2010–2020. Meanwhile, high vegetation coverage became the most prominent gains target, and the conversion of middle–high to high vegetation showed a system tendency to exceed the average in absolute number and relative intensity. Spatial and temporal differences in vegetation cover were mostly affected by land cover (q = 0.4726, p < 0.001), and the most influential topographic factor was the slope (q = 0.1491, p < 0.001). The impact of human activities has increased to 16%, double that of 2000. The CYUA’s vegetation cover improved more than it degraded, but required site-specific forest management due to human activities.
Reviewing Perovskite Oxide-Based Materials for the Effective Treatment of Antibiotic-Polluted Environments: Challenges, Trends, and New Insights
Authors: da Silva Júnior Afonso , de Oliveira Carlos , Wolff Leal Tarcisio , Pellenz Leandro , de Souza Selene , de Souza Antônio , Mapossa António , Tewo Robert , Rutto Hilary , da Silva Luciano , da Silva Adriano
Published: January 2024

Society confronts the pressing environmental challenges posed by the pervasive presence of toxic pollutants in aquatic ecosystems. The repercussions of contaminant release extend far and wide, endangering marine life and human well-being. While various techniques such as bioremediation, filtration, and adsorption have been employed for wastewater treatment, they grapple with cost effectiveness and overall efficiency issues. Advanced oxidative processes, including photocatalysis and Fenton, have emerged as viable solutions in response to the emerging contaminants. However, the efficacy of photocatalysis largely hinges on the choice of catalyst. Their distinctive attributes, such as chemical defects and exceptional stability, make perovskite oxides a promising catalyst. These materials can be synthesized through diverse methods, rendering them versatile and adaptable for widespread applications. Ongoing research endeavors are diligently focused on enhancing the performance of perovskite oxides, optimizing their integration into catalytic processes, and exploring innovative approaches for material immobilization. This comprehensive review seeks to elucidate the most pivotal advances in perovskite oxides and their composites within the wastewater treatment domain. Additionally, it sheds light on burgeoning research trends and multifaceted challenges confronting this field, which present insights into techniques for treating the antibiotic-contaminated environment, delving into innovative strategies, green technologies, challenges, and emerging trends.
Robust and Exponential Stabilization of a Cart–Pendulum System via Geometric PID Control
Authors: Zhang Zhifei , Fang Miaoxu , Fei Minrui , Li Jinrong
Published: January 2024

This paper addresses the robust stabilization problem of a cart–pole system. The controlled dynamics of this interconnected system are deduced by following the analytic framework of Lagrangian mechanics, and the residual terms are formulated as a bias depending on the angle and angular velocity. A geometric definition of Proportional–Integral–Derivative (PID) control algorithm is proposed, and a Lyapunov function is explicitly constructed through two stages of variable change. Local exponential stability of the stable equilibrium is proved, and a criterion for parameter tuning is provided by ensuring an exponential decrease in the Lyapunov function. Enlarging the control parameters to infinity allows for the extension of attraction region almost to the half circle. The effectiveness of geometric PID controller and the local exponential stability of the resulting close system are verified by simulating a numerical example.
Enhancing Quality Control in Battery Component Manufacturing: Deep Learning-Based Approaches for Defect Detection on Microfasteners
Authors: Vu Thi-Thu-Huyen , Chang Tai-Woo , Kim Haejoong
Published: January 2024

The management of product quality is a crucial process in factory manufacturing. However, this approach still has some limitations, e.g., depending on the expertise of the engineer in evaluating products and being time consuming. Various approaches using deep learning in automatic defect detection and classification during production have been introduced to overcome these limitations. In this paper, we study applying different deep learning approaches and computer vision methods to detect scratches on the surface of microfasteners used in rechargeable batteries. Furthermore, we introduce an architecture with statistical quality control (SQC) to continuously improve the efficiency and accuracy of the product quality. The proposed architecture takes advantage of the capability of deep learning approaches, computer vision techniques, and SQC to automate the defect detection process and quality improvement. The proposed approach was evaluated using a real dataset comprising 1150 microfastener surface images obtained from a factory in Korea. In the study, we compared the direct and indirect prediction methods for predicting the scratches on the surface of the microfasteners and achieved the best accuracy of 0.91 with the indirect prediction approach. Notably, the indirect prediction method was more efficient than the traditional one. Furthermore, using control charts in SQC to analyze predicted defects in the production process helped operators understand the efficiency of the production line and make appropriate decisions in the manufacturing process, hence improving product quality management.
Modulatory Role of Biochar Properties and Environmental Risk of Heavy Metals by Co-Pyrolysis of Fenton Sludge and Biochemical Sludge
Authors: Li Yujian , Kang Mengen , Wang Yuting , Bai Xue , Ye Zhengfang
Published: January 2024

Recent studies have reported that Fenton sludge and biochemical sludge contain high concentrations of toxic substances and heavy metals (HMs), whereas improper treatment can pose serious threats to environmental safety. Pyrolysis is considered an efficient technology to replace conventional sludge treatment. This study investigated the pyrolysis and kinetic processes of Fenton sludge and biochemical sludge, revealed the physicochemical properties of sludge biochar, and highlighted the role of co-pyrolysis in sludge immobilization of HMs and environmental risks. Results showed that Fenton sludge and biochemical sludge underwent three stages of weight loss during individual pyrolysis and co-pyrolysis, especially co-pyrolysis, which increased the rate of sludge pyrolysis and reduced the decomposition temperature. The kinetic reaction indicated that the activation energies of Fenton sludge, biochemical sludge, and mixed sludge were 11.59 kJ/mol, 8.50 kJ/mol, and 7.11 kJ/mol, respectively. Notably, co-pyrolysis reduced the activation energy of reactions and changed the specific surface area and functional group properties of the biochar produced from sludge. Meanwhile, co-pyrolysis effectively immobilized Cu, Pb, and Zn, increased the proportion of metals in oxidizable and residual states, and mitigated the environmental risks of HMs in sludge. This study provided new insights into the co-pyrolysis properties of sludge biochar and the risk assessment of HMs.
Particulate Matter Induced Adverse Effects on Eye Development in Zebrafish (Danio rerio) Embryos
Authors: Priyadarshana Dalawalla G. Charith E. , Cheon Jayeon , Lee Yoonsung , Cha Seon-Heui
Published: January 2024

Particulate matter (PM) can cause human diseases, particularly respiratory diseases. Since eyes are directly exposed to the air, they might be directly adversely affected by PM. Therefore, we determined the toxicity caused to eye development by PM using zebrafish (Danio rerio) embryos. The PM-induced embryo toxicity was dependent on dose and time and caused significant morphological defects, reducing the total body length and the total eye area. Reactive oxygen species (ROS) overproduction was confirmed in the PM treatment group, and antioxidant genes (cat and sod2), photoreceptor cell development, pigmentation genes (atoh8, vsx1, and rho), eye-embryogenesis genes (pax6a and pax6b), and eye-lens-development genes (cryaa) were downregulated, while eye-development genes (crybb1) were upregulated. In conclusion, PM had a direct adverse effect on the eyes, and zebrafish embryos can be used as a model to evaluate PM-induced eye toxicity in vivo.
Water Quality Assessment and Decolourisation of Contaminated Ex-Mining Lake Water Using Bioreactor Dye-Eating Fungus (BioDeF) System: A Real Case Study
Authors: Hanafiah Zarimah Mohd , Azmi Ammar Radzi , Wan-Mohtar Wan Abd Al Qadr Imad , Olivito Fabrizio , Golemme Giovanni , Ilham Zul , Jamaludin Adi Ainurzaman , Razali Nadzmin , Halim-Lim Sarina Abdul , Wan Mohtar Wan Hanna Melini
Published: January 2024

The environmental conditions of a lake are influenced by its type and various environmental forces such as water temperature, nutrients content, and longitude and latitude to which it is exposed. Due to population growth and development limits, former mining lakes are being converted to more lucrative land uses like those of recreational zones, agriculture, and livestock. The fungus Ganoderma lucidum has the potential to be utilised as a substitute or to perform synergistic bacteria-coupled functions in efficient contaminated lake water treatment. The purpose of this paper is to evaluate the water quality and water quality index (WQI) of an ex-mining lake named Main Lake in the Paya Indah Wetland, Selangor. Furthermore, the current work simulates the use of a Malaysian fungus in decolourising the contaminated ex-mining lake by the BioDeF system in a 300 mL jar inoculated with 10% (v/v) of pre-grown Ganoderma lucidum pellets for 48 h. According to the results, the lake water is low in pH (5.49 ± 0.1 on average), of a highly intense dark brownish colour (average reading of 874.67 ± 3.7 TCU), and high in iron (Fe) content (3.2422 ± 0.2533 mg/L). The water quality index of the lake was between 54.59 and 57.44, with an average value of 56.45; thus, the water was categorized as Class III, i.e., under-polluted water, according to the Malaysian Department of Environment Water Quality Index (DOE-WQI, DOE 2020). The batch bioreactor BioDeF system significantly reduced more than 90% of the water’s colour. The utilization of Ganoderma lucidum as an adsorbent material offers a variety of advantages, as it is easily available and cultivated, and it is not toxic.
Study of Nonlinear Evolution of Spacetime Fluctuations in Quantum Gravity Inflation for Deriving Primordial Spectrum
Authors: Hamada Ken-ji
Published: January 2024

We study the evolution of quantum fluctuations of gravity around an inflationary solution in renormalizable quantum gravity, in which the initial scalar-fluctuation dominance is shown by the background-free nature expressed by a special conformal invariance. Inflation ignites at the Planck scale and continues until spacetime phase transition occurs at a dynamical scale of about 1017 GeV. We show that during inflation, the initially large scale-invariant fluctuations reduce in amplitude to the appropriate magnitude suggested by tiny CMB anisotropies. The goal of this research is to derive the spectra of scalar fluctuations at the phase transition point, that is, the primordial spectra. A system of nonlinear evolution equations for the fluctuations is derived from the quantum gravity effective action. The running coupling constant is then expressed by a time-dependent average following the spirit of the mean field approximation. In this paper, we determine and examine various nonlinear terms, not treated in previous studies such as the exponential factor of the conformal mode. These contributions occur during the early stage of inflation when the amplitude is still large. Moreover, in order to verify their effects concretely, we numerically solve the evolution equation by making a simplification to extract the most contributing parts of the terms in comoving momentum space. The result indicates that they serve to maintain the initial scale invariance over a wide range beyond the comoving Planck scale. This is a challenge toward the derivation of the precise primordial spectra, and we expect in the future that it will lead to the resolution of the tensions that have arisen in cosmology.
BP-Adaptive PID Regulation for Constant Current and Voltage Control in WPT Systems
Authors: Guo Yanhua , Sun Shuyao , Shi Zhuoqun , Sun Weize , Hou Yanjin , Liu Zhizhen
Published: January 2024

To enhance the stability and disturbance rejection of wireless charging systems for electric vehicles, we designed a bilateral collaborative control strategy based on BP neural networks, achieving closed-loop constant voltage control for the secondary rectification circuit. Integrating BP neural network adaptive PID parameters with dual-phase-shift control, this strategy outperforms conventional incremental PID controllers in terms of response time and overshoot. Validated on an 11 kW experimental platform, our approach demonstrated efficient response under disturbances; with a load switch from 10 Ω to 12 Ω, the system exhibited a mere 5% fluctuation rate and an impressive efficiency of up to 92.96%.
A Regional Perspective of Socio-Ecological Predictors for Fruit and Nut Tree Varietal Diversity Maintained by Farmer Communities in Central Asia
Authors: Turdieva Muhabbat , Bernis-Fonteneau Agnès , Esenalieva Maira , Kayimov Abdihalil , Saparmyradov Ashirmuhammed , Safaraliev Khursandi , Shalpykov Kairkul , Colangelo Paolo , Jarvis Devra I.
Published: January 2024

The five independent countries of Central Asia, namely Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan, contain one of the richest areas in the world for the specific and intraspecific diversity of temperate fruit and nut tree species. Research was carried out via the collaboration of national research and education institutes with local community-based agencies and farmer communities. Raw data (2014 observations) for almond, apple, apricot, cherry plum, currant, grapevine, pear, pomegranate, and walnut were collected at the household (HH) level across the five countries: Uzbekistan, Kazakhstan, Tajikistan, Turkmenistan, and Kyrgyzstan. A set of models was used, including household variety richness as the dependent variable, to understand the influence of socio-ecological variables on the amount and distribution of crop varietal diversity in the farmers’ production systems. Four variables were included as explanatory variables of variety richness (fixed factors): ecoregion, ethno-linguistic group, management, and abiotic stress. The results show clear evidence that abiotic stress determines a higher richness of intra-specific diversity in the form of local varieties grown by farmers living in climatically unfavorable areas. The results for the studied ecoregions follow the same trend, with ecoregions with harsher conditions displaying a higher positive correlation with diversity. Mild environments such as the Central Asian riparian woodlands show an unexpectedly lower diversity than other harsher ecoregions. Ethno-linguistic groups also have an effect on the level of varietal diversity used, related to both historic nomadic practices and a culture of harvesting wild fruit and nuts in mountainous areas. The home garden management system hosts a higher diversity compared to larger production systems such as orchards. In Central Asia, encouraging the cultivation of local varieties of fruit and nut trees provides a key productive and resilient livelihood strategy for farmers living under the harsh environmental conditions of the region while providing a unique opportunity to conserve a genetic heritage of global importance.
Exploring the Potentials of Halophytes in Addressing Climate Change-Related Issues: A Synthesis of Their Biological, Environmental, and Socioeconomic Aspects
Authors: Hameed Abdul , Hussain Sadiq , Rasheed Aysha , Ahmed Muhammad Zaheer , Abbas Sahar
Published: January 2024

Halophytes are naturally salt-tolerant plants with immense potential to become alternate crops for saline lands. While their economic benefits have gained increasing attention, often, the roles of halophytes in addressing different climate change-related issues are overlooked. Halophytes can be a renewable resource for clean ‘carbon-neutral’ energy by serving as biofuel or biogas feedstock, help in the sequestration of rising CO2 as well as the phytoremediation of various pollutants, can be a good source of food and fodder thereby help in achieving food security in arid/saline areas, can help in protection and biodiversity conservation in various ecosystems, and can provide livelihood to poor local communities inhabiting barren lands. This review also attempts to highlight various usages of halophytes in connection with a global change perspective. However, there are still many challenges such as economic viability, customer preferences, environmental impacts, and scale-up challenges, which need further research, innovation, effective policies, and collaboration. In general, this review provides a synthesis of various biological, environmental, and socioeconomic aspects of halophytes to fully exploit the potential of halophytes for human welfare and combating global climate changes.
Import and sale of goods in the EAEU: what sanctions apply to violators of customs legislation?
Authors:   CS Rostest Ural, Russia, Ekaterinburg, Kurbatova E.D.
Published: January 2024

The article analyzes measures of administrative and criminal liability for the illegal import of goods into the territory of the EAEU. In addition, the author presents the necessary documents that importers of products need to complete to import goods into the EAEU.
Positive aspect in the presence of asphalt-smo-loparaffin deposits during oil products transfer through the pipeline network
Authors:   Astrakhan State Technical University, Astrakhan region, Astrakhan city district, Astrakhan, Dymov A.M. , Marinin S.A. ,   Astrakhan State Technical University, Astrakhan region, Astrakhan city district, Astrakhan, Nugmanov A.H. ,   Astrakhan State Technical University, Astrakhan region, Astrakhan city district, Astrakhan, Aleksanyan I.Y. ,   Astrakhan State Technical University, Astrakhan region, Astrakhan city district, Astrakhan
Published: January 2024

Until now, the phenomenon of paraffin contamination of oil pipelines is considered an obstacle to the efficient transport of petroleum raw materials, leading to a decrease in the reliability of their operation. The positive effect of asphalt, resin and paraffin deposits during the movement of petroleum raw materials in the oil pipeline system can be assessed by taking into account a number of phenomena. So, first of all, asphalt-resin-paraffin deposits have a relatively low coefficient of thermal conductivity and smooth out irregularities from internal corrosion of the walls of oil pipelines, acting as its corrosion. These deposits, when polished during operation of the oil pipeline system, reduce the surface roughness of the walls, which causes a drop in hydraulic resistance and for this reason leads to an increase in the permeability of oil pipelines and, as a consequence, to a reduction in energy costs. The article provides an assessment of the advantages of having a controlled layer of designated sediments when transporting petroleum raw materials through the main oil pipeline network. One of these advantages is the formation of a controlled layer of deposits, as a corrosion inhibitor, on the surface of oil pipelines in contact with oil raw materials, as well as as their thermal insulation with a roughness-reducing effect.
Aspects of training engineering personnel for domestic industry. Problems and challenges
Authors:   JSC «Modeling and Digital Twins», Russia, Moscow, Tricky D. P.
Published: January 2024

The article is devoted to the key aspects of training engineering personnel for domestic industry, taking into account modern requirements in the field of design and engineering design, development and production. Among them are education, internships and practical training, cooperation with foreign universities and companies, a state support program and the development of a production culture. There is also a rapid development of new technologies and their introduction into production. Personnel training should be aimed at the ability to quickly adapt to new conditions and technologies, as well as at the constant support and development of scientific and technological progress. Engineers need more indepth, systematic and specialized training to enable them to create and maintain modern automated, including robotic, systems.
Meet-Ex : The Exploratory Study of Sustainable Business Strategy Model Initiation in Improving MSMEs Capability to Meet Consumer Expectations
Authors: Wibowo Frendy , Putra Febrianur Ibnu Fitroh Sukono , Izzudien  , Sulastri
Published: January 2024

Objective: Consumers expect MSMEs to adopt sustainable strategies but realizing there is a gap between business sustainability practices and consumer expectations. This research aims to identifies sustainable business strategies to be integrated into business practices. Research Design & Methods: This research uses exploratory qualitative methods. The data collection technique uses an interview method. The sampling design used non-probability sampling (snowball). The analysis technique is through data collection, data reduction, data presentation, and concluding because it can explain, assess, and visualize superior MSMEs empowerment modeling. Findings: The results of this study indicate the technology-based sustainable business strategy must be the primary role model to increasing the MSMEs competitiveness. A successful sustainable business strategy has four core dimensions: innovation, collaboration, communication, and commitment. Digital businesses can be used as a medium to achieve their vision of sustainable practices in competitive advantage, brand loyalty, risk mitigation, and cost reduction. Researchers prove that the sustainability can lead to an increase in the market value of MSMEs. Implications & Recommendations: MSMEs who proactively make the core of business strategy sustainability will encourage innovation and generate enthusiasm and loyalty from employees, customers, suppliers, communities, and investors. Implementation of integrated digital business strategy should include guidelines for understanding consumer behavior, accessing market data more easily, and using social media as a form of continuous communication that shows the proximity of MSMEs to customers. Contribution & Value Added: Empirical research to measure the relationship between proposed sustainable business practices and consumer expectations holds excellent opportunities for future research.
Brechas de género laboral de la industria restaurantera
Authors: Ismael María Quetzalcihuatl Galván , Lazalde Iván González , Nevárez Mayela del Rayo Lechuga
Published: January 2024

En esta investigación se presenta un análisis de la industria restaurantera de la ciudad Victoria de Durango referente al capital humano que ocupa los principales puestos en la organización, se incluye el gerente de alimentos y bebidas, cocinero y mesero, medido a través del índice de capital humano de Portela utilizando las variables de escolaridad y experiencia laboral. Se caracteriza de manera descriptiva la información demográfica de los trabajadores de toda la industria, y de manera particular cada uno de los puestos principales. Se hacen inferencias a través de la estadística no paramétrica, utilizando las pruebas de Kruskal-Wallis y Mann Whitney, considerando las variables edad, escolaridad, experiencia en el puesto e índice de capital humano, a través de estas inferencias se encontraron hallazgos de brechas de género que existen en los puestos ocupados por hombres y mujeres, mientras que la edad, escolaridad e índice de capital humano presentan similitudes estadísticas, la variable experiencia muestra niveles estadísticamente menores que la de los hombres. Se hace una comparación de los descubrimientos de la investigación respecto a lo presentado por otros autores en la discusión de resultados.
Composição química, perfil fermentavivo e econômico de silagem a base de capiaçu, feijão guandu e milho
Authors: Da Silva Mayara , Costa Ester da Silva , Ventura Ruth do Nascimento , Nascimento Heverlly Lima , Ferreira José Heron Inácio , Andrade Jerrian Matos , Dos Santos Franklin França , Silva Randerson Cavalcante , Costa Kleyton Danilo da Silva
Published: January 2024

A conservação de plantas forrageiras é uma técnica muito utilizada no Brasil, e na região Nordeste essas plantas são utilizadas como a principal fonte de nutrientes para os animais. A literatura mostra que a principal forma de conservação de plantas forrageiras ocorre através da ensilagem, e dentre as principais espécies usadas para produção de silagem está o capim-elefante devido o seu elevado potencial de produção de matéria seca, o feijão guandu pelo seu teor de proteína, e o milho pela sua facilidade de cultivo e altos rendimentos. A análise de composição química e perfil fermentativo são técnicas utilizadas para determinação de uma boa silagem, através dessas análises é possível fazer a formulação de dietas para animais com foco em maximizar a utilização da forragem ou outros alimentos fornecidos. A análise econômica na produção de silagem também é um fator muito importante, pois a matéria prima utilizada na produção da silagem irá influenciar diretamente o custo de produção animal. Diante disso, o objetivo desse estudo foi buscar na literatura dados que demonstrem a qualidade e eficiência nutricional da silagem produzida à base do capim-elefante BRS capiaçu e feijão guandu, buscando evidenciar sua viabilidade econômica em relação a outros materiais utilizados na produção de silagem.
KINERJA KARYAWAN DITINJAU DARI KEPUASAN KERJA DAN KOMITMEN ORGANISASI
Authors: Budiana I Made
Published: January 2024

Employee performance is very important aspect for every organization. Employee performance is determined as the achievements obtained by employees both qualitatively and quantitatively. The aim of this research is to examine the role of job satisfaction and organizational commitment on the performance of motor vehicle claims employees at PT. CAI. Job satisfaction is the result of employees' thoughts and feelings which describe the importance or unimportance, likes or dislikes of the employee's assessment of their work. Meanwhile, organizational commitment is an individual's interest in the values and goals of the organization. Data was taken from (N=25) motor vehicle claims officers using measuring instruments from Faculty of Psychology, Tarumanagara University. The research results show that job satisfaction does not have a significant effect on performance. Organizational commitment also shows no significant effect on performance. This research is very important to enrich theoretical studies of specific factors that influence employees

Keywords: Job Satisfaction, Organizational Commmitment, Employees Performance
ALCHEMICAL SYMBOLISM OF THE NOVELLA “THE GOLDEN POT: A MODERN FAIRY TALE” BY E. T. A. HOFFMANN
Authors: Koroleva Vera V. , Pritomskaya Alina R.
Published: January 2024

The aim of this study is to analyse the symbolism of E.T.A. Hoffman’s novella “The Golden Pot” within the framework of the alchemical discourse. The researchers employed historical-genetic, structural-semantic methods and the method of motivic analysis to explore the elements of medieval alchemical symbolism in the novella, namely: the motif of the hero’s initiation and his subsequent spiritual transformation, the symbols of snake, elemental spirits (salamander and dragon), manuscripts, blood, apples, garden, four elements, palm and cypress, as well as the symbolism of colour – red, black, white, gold and bronze. Results of the research suggest that the medieval theory of alchemy corresponded to the image of achieving creative harmony and spiritual transformation in German Romanticism.
THE THEME OF TOTAL SURVEILLANCE IN THE FIELD OF DIGITAL TECHNOLOGIES IN THE NOVEL “THE CIRCLE” BY DAVE EGGERS
Authors: Kashulina Evgeniia V.
Published: January 2024

C Currently, the genre of the dystopian novel is one of the most popular and has been changing significantly. The article studies the trends in the transformation of the surveillance theme in the dystopian discourse of the 21st century based on the novel “The Circleˮ (2013) by Dave Eggers, and compares the representation of this theme with classical novels (“1984ˮ by George Orwell, “Weˮ by Yevgeny Zamyatin). The image of totalitarian power, which is an indispensable component of a dystopian novel, has been modified recently – political terror is replaced by digital terror, where transparency of information, considered to be good, turns into evil and a means of manipulation. The metaphor of transparency is crucial in the novel, it symbolises the desire to create a constrained society, where control is the only constant. The article offers an analysis of the genre. Special attention is paid to the system of characters, which, despite the continuation of the tradition of the classical text, is significantly transformed. In addition, the article deals with the symbolism of the novel, as well as the problem of inaccurate translation of the title of the work, which leads to the loss of individual components of meaning. A detailed examination of the “The Circleˮ by Dave Eggers shows that surveillance affects people’s behaviour, controlling the desires and subordinating the will. The aspiration for absolute transparency of personal life and the monopoly on information create painful moods in a society that, despite security, feels vulnerable.
CORE AND PERIPHERAL CONSTRUCTIONS OF COMPLEX SENTENCES WITH THE MEANING OF CONDITIONALITY IN THE SCIENTIFIC AND JOURNALISTIC STYLES OF THE MODERN RUSSIAN LANGUAGE
Authors: Galkina Natalia P.
Published: January 2024

The study of high-frequency and low-frequency language means is of interest from the point of view of the development and preservation of the richness and variability of the language. The object of the study is complex sentences with subordinate clauses of condition, cause, purpose, concessions, consequence, combined into a common group of sentences with the meaning of conditionality. The research is based on materials of scientific and journalistic styles, which are rich in topic and scope of users. Analysis of various examples of real language use makes it possible to determine which structural models of these sentences are the most common, core, and which belong to the periphery, and what causes such variability. The study of language means of forming complex sentences includes the use of conjunctions as the main structural elements of expressing the meaning of conditionality, the order of predicative parts, as well as the modal-tense characteristics of predicates. Stabe, core structural means of the sentences under consideration have been identified, which ensure the stability of the language system. Unproductive means serve to express specific kinds of condition, cause, purpose, concession meanings and come under peripheral variants characteristic of the styles under consideration. Differences in the use of linguistic means in forming complex sentences of these types have stylistic, semantic, and communicative reasons.
ON THE FREQUENCY OF WORDS IN DERIVATIONAL PAIRS
Authors: Kuligin Andrey S.
Published: January 2024

When studying the frequency indicators of derivative lexemes, hypotheses were put forward about their possible connection with the nature of motivation. However, due to the great laboriousness of manual quantitative analysis, this connection was demonstrated on the material of relatively small samples and for groups of derivative words predetermined by the researcher. Given the availability of data on individual derivational types, there is still no general picture of the correlation of frequency indicators in different word-formational structures. In this paper, the material of the linguistic database “MorphyNetˮ and the “New frequency dictionary of Russian vocabularyˮ is involved in the study. As a result of an automated analysis of more than 50 000 derivational pairs in the Russian language, some types of correlations between the frequency indicators of the source word and of the derived word have been established. Several derivational types have been identified, which are characterized by a certain kind of such correlation. It is concluded that higher frequency rates of the derived word compared to the frequency of the source word may indicate a weakening or modification of the word-formational relations between them.
LEGAL VIEWS OF YURIY NOVITSKIY ON JUVENILE COURTS
Authors: Bril’ Gennadiy G. , Zaitsev Leonid N.
Published: January 2024

The article is devoted to the analysis of the scientific approach to the issue of creating a juvenile court, developed by the famous Russian lawyer and public figure Yuriy Novitskiy. The basis of the research was the report of Yuriy Novitskiy, made by him in November 1911 in Kiev society ‟Patronage”, and also with which Yuriy Novitskiy spoke in January 1912 at Kiev Law Society in connection with the creation of a juvenile court in Kiev. The importance of turning to historical research in studying the problems of combating juvenile delinquency is stated. Yuriy Novitskiy’s scientific achievements of works were not fully appreciated by his contemporaries. This study attempts to eliminate this gap. His report is analysed from the point of view of historical analysis. Conclusions are drawn that the scientific developments of Yuriy Novitskiy on the creation of a juvenile court were a significant contribution to legal science and to the creation of such a court in Kiev. The practice of pre-revolutionary juvenile courts and the positive experience of their work will allow the modern state and society to ensure proper education of the younger generation.