bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Online Word of Mouth (e-WOM) on End-User Purchasing Intentions: A Study on e-WOM Channels’ Effects on the Saudi Hospitality Market
Authors: Beyari Hasan , Garamoun Hatem
Published: April 2024

In this paper, we study the relationship between electronic word of mouth (e-WOM), brand perceptions, and consumer purchase intentions in the Saudi hospitality market via an extensive questionnaire design using a five-point Likert scale. A total of 410 respondents from the central, western, and eastern regions of Saudi Arabia were chosen using the convenience sampling technique. The structural equation modeling (SEM) analysis using SPSS AMOS 26 software showed that e-WOM via social media, online retail stores, brand-owned media, and influencers positively affects perceived brand quality, which leads to increased purchase intentions. The model showed an R-squared of 0.579, indicating that e-WOM explains about 57.9% of the variation in perceived brand quality. In particular, e-WOM through social media and influencers has been established as a strong factor in predicting perceptions of brand quality. This study reveals that learning the nuances and strategic management of e-WOM channels is key to improving brand perceptions and consumer purchase behavior in the Saudi hospitality market in the digital age.
Grape Pomace (Vitis vinifera L.) Waste Valorization: Assessing Its Potential as a Sustainable Natural Dye for Textiles Applications
Authors: Fonseca Filipa D. , Symochko Lyudmyla , Pinheiro M. Nazaré Coelho
Published: April 2024

The present study aimed to explore the textile dyeing capability using dyes derived from grape pomace. Extractions were conducted with water at different pH levels and with a water/ethanol solution. Cotton (natural and cationized) and wool were employed in the dyeing process for varying durations (100 and 200 min). The colorimetric and fastness properties, in terms of washing (with hot and cold water) and exposure to natural light, were evaluated. The final color evaluation was performed using ΔE*, a parameter quantifying the magnitude of a color difference by comparing the L*a*b* color coordinates of the CIELAB system of the dyed samples with those of the control. The hues obtained on the fabrics resulted in uniform and earthy colors. However, the cationized cotton substrate showed the highest ΔE* values for all conditions used in obtaining grape pomace extracts, in the range of 33.91 to 37.98. This suggests that the surface treatment enhanced dye uptake, while organic cotton achieved a lighter earthy color. Natural dyeing using grape pomace presents a sustainable, ecological, and non-toxic alternative for textile dyeing, resulting in unique and earthy tones with commercial potential while promoting the sustainable use of natural resources and environmental preservation. The key to achieving sustainable development lies in waste reduction and valorization, along with the adoption of conscious consumption.
Application of Femtosecond Laser Processing Method in the Sustainable Conservation of Stone Cultural Relics: An Example of Green Schist in Wudang Mountain, China
Authors: Chen Mu , Wang Chengaonan , Li Kai , Jia Xianshi , Wang Cong , Wang Yansong
Published: April 2024

The ancient building complex in Wudang Mountain, China, is known as the “Museum of Ancient Chinese Architectural Accomplishments”. However, the valuable stone components are preserved in open or semi-open environments and environmental factors such as rain seriously threaten its sustainable conservation. In this context, a femtosecond laser processing method has been demonstrated to be able to prepare hierarchical micro-nano structures on the stone surface to regulate its wettability, achieving the purpose of sustainable conservation. In this paper, the processing mechanism and performance of the femtosecond laser on green schist, a local stone material in the Wudang Mountain, are systematically investigated. It is found that green schist, as a typical non-homogeneous material, exhibits significant differences in its absorption of femtosecond laser with different compositions. Among them, quartz, chlorite, and muscovite are the three main compositions, and they are mainly characterized by cold ablation, thermal melting, and expansion under the irradiation of the femtosecond laser (238 fs, 100 kHz, 40 μJ, 33 μm, 500–40,000 pulses), respectively, and it is difficult to achieve a uniform and stable surface structure. Based on this, we prepared grooves with a spacing of 100–400 μm by scanning the femtosecond laser. Through the characterization of surface morphology, elemental composition, and three-dimensional structure, the processing mechanism of the hierarchical micro-nano structures of green schist under the irradiation of the femtosecond laser is comprehensively revealed. Finally, the wettability modulation result of water contact angle up to 147° is achieved by processing the grooves with an optimal spacing of 400 μm. The results of this research are of guiding significance for the sustainable conservation of ancient buildings and cultural relics.
The Adoption of Artificial Intelligence in Serbian Hospitality: A Potential Path to Sustainable Practice
Authors: Gajić Tamara , Vukolić Dragan , Bugarčić Jovan , Đoković Filip , Spasojević Ana , Knežević Snežana , Đorđević Boljanović Jelena , Glišić Slobodan , Matović Stefana , Dávid Lóránt Dénes
Published: April 2024

This study investigates the perceptions of employees in the hotel industry of the Republic of Serbia regarding the acceptance and importance of artificial intelligence (AI). Through a modified UTAUT model and the application of structural equation analysis (SEM), we investigated the key factors shaping AI acceptance. Research results show that behavioral intention and habit show a significant positive impact on AI usage behavior, while facilitating conditions have a limited but measurable impact on behavioral intention. Other factors, including social influence, hedonic motivation, performance expectancy, and effort expectancy, have minimal influence on the examined variables. The analysis reveals the crucial mediating role of behavioral intention, effectively bridging the gap between various predictors and AI usage behavior, thereby highlighting its significance in the broader context of technology adoption in the hotel industry. The primary goal of the study, which closes significant research gaps, as well as the manner in which it uses a specific model and statistical analysis to accomplish this goal, shows how innovative the work is. This method not only broadens the field’s understanding but also offers valuable insights for shaping sustainable development practices in the hospitality sector in the Republic of Serbia.
Coupling and Quantifying Sustainability and Resilience in Intelligent Buildings
Authors: Al Qurneh Deena Ahmed , AbuMoeilak Lama , Beheiry Salwa , Mortula Maruf
Published: April 2024

Over recent years, the sustainability and resilience concept has increased its significance in the construction industry. Sustainability is associated with implementing best practices in the construction industry, while resilience is the adaptability and tolerance of systems in harsh conditions. The concepts are learned in the construction process. Moreover, building automation is growing rapidly, and buildings are becoming increasingly dependent on complex systems and technology and susceptible to unanticipated failure. Though sustainability and resilience concepts are interlinked, limited research quantifies their combination, resulting in a limited comprehension of how both concepts interact during application by developers in a smart building. Therefore, this study has established a financial model that employs Net Present Value (NPV) in studying the inference and clampdown of investment in both concepts. NPV was estimated using indirect and direct costs and benefits derived from the continuous integration of sustainability and resilience in a smart building. To quantify sustainability, its three components had to be quantified. Reduced energy expenditure and government environmental incentives were used to calculate the environmental component. Workers’ cost savings, fire insurance cost savings, and additional system maintenance costs were used to calculate the economic component. The social component of sustainability measured hard-to-quantify attributes like productivity, indoor environment quality, reputation, extra profit, services, and safety. To quantify them, a survey and RII method were used. The two concepts were then coupled by estimating the benefits and costs of installing and keeping resilience tools in design that are sustainable in the smart building and the impact study on the NPV outcome. Application of the design model was also carried out on four smart buildings that were selected in Dubai. The result indicated that coupling sustainable approaches and resilience yields higher NPV by at least 22%. Nevertheless, for NPV to be maintained positively and reduce the cost of failure, faulty detection tools should be assimilated while designing sustainable and smart buildings. The findings of this study will contribute to the benefit of other researchers, developers, investors, managers, engineers, and anyone who is involved in the design or construction process of intelligent buildings.
Promising Nature-Based Solutions to Support Climate Adaptation of Arizona’s Local Food Entrepreneurs and Optimize One Health
Authors: Varyvoda Yevheniia , Foerster Taylor Ann , Mikkola Joona , Mars Matthew M.
Published: April 2024

This study explores the uptake and potential application of nature-based solutions (NbS) that are particularly promising for small-scale farmers, ranchers, and food entrepreneurs operating in arid and semi-arid regions. Studying the adoption of NbS by local food entrepreneurs (LFEs), including related strengths and limitations, remains an area of exploration due to their potential to optimize interventions that foster environmental sustainability at the intersection of people, animals, and natural ecosystems (i.e., One Health). A multi-method design was used, including literature review, questionnaires, and semi-structured key informant interviews to assess adaptation needs and NbS among a sample of LFEs located in Southern AZ, USA. The findings revealed that existing NbS have been introduced mostly through learning-by-doing practices that are bounded by economic and technological resource constraints. The paper describes a range of accessible approaches and practices that can be piloted and/or scaled up to enhance local food system resilience and contribute to the overlapping health of people, animals, and natural ecosystems. The priority adaptation pathways for NbS were identified to be funding and financing and the co-creation and sharing of knowledge through peer-to-peer and expert-to-peer approaches. The results suggested that AZ LFEs are likely to adopt NbS based on their capacity to address priority climate-driven issues, revenue generation potential, and seamless augmentation with existing food production and operational activities.
Operation of a Pilot-Scale Biogas Plant Made of Textile Materials and Application of Its Results to a Full-Sized Demonstration Plant
Authors: Hidalgo-Sánchez Verónica , Hofmann Josef , Borges María Emma , Behmel Uwe , Hehenberger-Risse Diana , Finsterwalder Tobias , Pritscher Christina , Blattenberger Johannes , Wainz Tanja , Dillis Maximilian
Published: April 2024

In small German farms, there is a technically usable potential of cattle manure and pig manure ranging from 153 to 187 million tons of fresh matter per year. Since 2021 and 2023, new incentives under the Renewable Energy Sources Act (EEG) have been promoting biogas production in small farms. These incentives, applicable to biogas plants up to 150 kWel, include direct compensations for plants up to 100 kWel and market premiums for those up to 150 kWel. A small biogas plant made of textile materials was designed for both pilot and full-scale applications. Compared to conventional concrete biogas reactors, these textile-based reactors offer a simplified construction and operation, eliminating the need for specialized civil engineering. The primary objective of this research is to demonstrate the process engineering feasibility of biogas reactors based on textile materials for small farm biogas plants (30 to 75 kWel). Another goal is to design the construction method in such a way that this type of system can be built by farmers themselves after type testing on site. Operational insights were gathered from the laboratory plant with a 300-L digester volume, using cattle manure and clover grass silage. To adapt the system to the biogas reactor made of textile materials, the reactor was designed without a stirrer. These insights were considered in the design and approval procedure of the full-sized demonstration biogas plant made of textile materials. The full-size demonstration plant digesters underwent an approval procedure from local authorities, featuring treatment volumes of 120 m3 for the main biogas reactor and 550 m3 for the digestate reactor in an earth basin style. This new type of biogas plant could be built in small farms for self-sufficiency in electrical and thermal energy or for treating sewage sludge in small-scale communal wastewater treatment and biogas plants.
Novel ‘Closed’-System Approach for Monitoring the Technical Condition of Railway Tracks
Authors: Bondarenko Iryna , Lukoševičius Vaidas , Neduzha Larysa
Published: April 2024

Assessing the technical condition of a railway track throughout its service life is crucial to ensuring functional safety. However, it is important to note that current approaches have theoretical and practical gaps that require attention. The purpose of this study is to discuss the reconceptualization of an integrated approach to assess changes in the technical condition of railway tracks caused by rolling stock over their service life. Improving existing systems for assessing the condition of the track can be achieved by modifying the model concept and, subsequently, the measurement and assessment procedures. This paper presents an alternative method for addressing technical issues related to the monitoring and diagnosis of railway tracks, with a particular focus on natural phenomena: energy transfer by elastic waves. The primary aim of this work is to propose an approach for designing a ‘closed’ measurement system that enables tracking of the cause-and-effect relationship. This system takes into account both the elastic dissipative characteristics of the track–rolling stock interaction and the influence of the dynamics of various components in the ‘train-track’ system.
How Does the Digital Transformation Affect the Carbon Emissions of Manufacturing Enterprises in China? The Perspective of Green Technology Innovation
Authors: Guo Ziyuan , Yuan Xiang , Zhou Kai , Fu Linjun , Song Yicheng
Published: April 2024

With the continuous intensification of competition among major countries and the resurgence of anti-globalization trends, countries around the world have strengthened their strategic deployment for digital transformation in the manufacturing industry. Digital development enables enterprises to transform and upgrade, and the digital transformation and green transformation of enterprises have a historic intersection. This study uses the panel data of 1900 A-share listed companies to explain the theoretical mechanism of digital transformation to promote carbon emission reduction from the perspective of green technology progress. In addition, the threshold model is used to analyze the nonlinear relationship. The results show that the digital transformation has significantly reduced the carbon emission level of Chinese manufacturing enterprises, and the conclusion is still true after the instrumental variable estimation and robustness test. Heterogeneity analysis found that the carbon emission reduction in state-owned enterprises is more obvious. Green technology innovation capability shows the technology dividend effect, which is an important way for digital transformation to promote carbon emission reduction. This study expands the research on the sustainable development of China’s manufacturing industry and provides guidance for policy makers and business decision makers.
YOLO-RDP: Lightweight Steel Defect Detection through Improved YOLOv7-Tiny and Model Pruning
Authors: Zhang Guiheng , Liu Shuxian , Nie Shuaiqi , Yun Libo
Published: April 2024

During steel manufacturing, surface defects such as scratches, scale, and oxidation can compromise product quality and safety. Detecting these defects accurately is critical for production efficiency and product integrity. However, current target detection algorithms are often too resource-intensive for deployment on edge devices with limited computing resources. To address this challenge, we propose YOLO-RDP, an enhanced YOLOv7-tiny model. YOLO-RDP integrates RexNet, a lightweight network, for feature extraction, and employs GSConv and VOV-GSCSP modules to enhance the network’s neck layer, reducing parameter count and computational complexity. Additionally, we designed a dual-headed object detection head called DdyHead with a symmetric structure, composed of two complementary object detection heads, greatly enhancing the model’s ability to recognize minor defects. Further model optimization through pruning achieves additional lightweighting. Experimental results demonstrate the superiority of our model, with improvements in mAP values of 3.7% and 3.5% on the NEU-DET and GC10-DET datasets, respectively, alongside reductions in parameter count and computation by 40% and 30%, and 25% and 24%, respectively.
Improvement of Smart Grid Stability Based on Artificial Intelligence with Fusion Methods
Authors: Alaerjan Alaa , Jabeur Randa , Ben Chikha Haithem , Karray Mohamed , Ksantini Mohamed
Published: April 2024

It is crucial to evaluate and anticipate stability under various conditions, as the ability to stabilize a smart grid (SG) is one of its key features for assessing the effectiveness of its design. Intelligent approaches to stability forecasting are necessary to mitigate inadvertent instability in SG design. This is particularly crucial with the expansion of residential and commercial infrastructures, along with the growing integration of renewable energies into these grids. Predicting the stability of SGs is currently a major challenge. The concept of an SG encompasses a broad range of emerging technologies in which artificial intelligence (AI) plays a crucial role and is increasingly being utilized in light of the limitations of conventional methods. It empowers informed decision-making and adaptable responses to fluctuations in customer energy needs, unexpected power outages, rapid changes in renewable energy generation, or any unforeseen crises within an SG system. In this paper, we propose a symmetric approach to enhance SG stability by integrating various machine learning (ML) and deep learning (DL) algorithms, where symmetry is observed in the balanced application of these diverse computational techniques to predict and ensure the grid’s stability. These algorithms utilized a dataset containing the simulation results of the SG stability. The learning phase of these algorithms is based on imprecise and unreliable data. To overcome this limitation, the fusion of classifiers can be a powerful approach to modeling inaccurate and uncertain data, providing more robust and reliable predictions than individual classifiers. Voting and Dempster–Shafer (DS) methods, two commonly used techniques in ensemble learning, were employed and compared. The results show that the use of the fusion of distinct classifiers with voting theory achieves an accuracy of 99.8% and outperforms several other methods including the DS method.
Surface-Exposed Protein Moieties of Burkholderia cenocepacia J2315 in Microaerophilic and Aerobic Conditions
Authors: Seixas António M. M. , Silva Carolina , Marques Joana M. M. , Mateus Patrícia , Rodríguez-Ortega Manuel J. , Feliciano Joana R. , Leitão Jorge H. , Sousa Sílvia A.
Published: April 2024

Burkholderia cepacia complex infections remain life-threatening to cystic fibrosis patients, and due to the limited eradication efficiency of current treatments, novel antimicrobial therapies are urgently needed. Surface proteins are among the best targets to develop new therapeutic strategies since they are exposed to the host’s immune system. A surface-shaving approach was performed using Burkholderia cenocepacia J2315 to quantitatively compare the relative abundance of surface-exposed proteins (SEPs) expressed by the bacterium when grown under aerobic and microaerophilic conditions. After trypsin incubation of live bacteria and identification of resulting peptides by liquid chromatography coupled with mass spectrometry, a total of 461 proteins with ≥2 unique peptides were identified. Bioinformatics analyses revealed a total of 53 proteins predicted as localized at the outer membrane (OM) or extracellularly (E). Additionally, 37 proteins were predicted as moonlight proteins with OM or E secondary localization. B-cell linear epitope bioinformatics analysis of the proteins predicted to be OM and E-localized revealed 71 SEP moieties with predicted immunogenic epitopes. The protegenicity higher scores of proteins BCAM2761, BCAS0104, BCAL0151, and BCAL0849 point out these proteins as the best antigens for vaccine development. Additionally, 10 of the OM proteins also presented a high probability of playing important roles in adhesion to host cells, making them potential targets for passive immunotherapeutic approaches. The immunoreactivity of three of the OM proteins identified was experimentally demonstrated using serum samples from cystic fibrosis patients, validating our strategy for identifying immunoreactive moieties from surface-exposed proteins of potential interest for future immunotherapies development.
Short-Term Adverse Effects of the Fourth Dose of Vaccination against COVID-19 in Adults over 40 Years of Age
Authors: Malo-Castillo Jussara , Jiménez-Álvarez Harold , Ludeña-Meléndez Victor , Mayor Castro Solange Sarasvati , Rodríguez Sheyla , Ishikawa-Arias Paula , Terrones Cristhian , Ledesma Chavarría Leonardo , Linares Reyes Edgardo , Failoc-Rojas Virgilio E.
Published: April 2024

Booster vaccines are a strategy to mitigate the conditions in the health, social, and economic fields that the COVID-19 pandemic has brought. A series of adverse effects have been observed since the first vaccination. The present investigation aims to describe the short-term adverse effects of the fourth dose against COVID-19 in adults older than 40 from a region of Peru. The study population was over 40 years of age at the COVID-19 vaccination center in Trujillo, Peru. A 21-day follow-up was conducted from vaccination with the fourth dose, considering sex, age, body mass index, comorbidities, history of COVID-19 infection, vaccination schedule, and simultaneous vaccination against influenza as variables of interest. Multinomial logistic regression with robust variance was used to estimate the risk ratio (RR). In total, 411 people were recruited, and it was found that 86.9% of the participants presented adverse effects after injection with the fourth dose of the vaccine against COVID-19. Pain at the injection site was the most reported symptom after 3 days. Assessment of adverse effects after 3 days found that age ≥ 60 years was associated with a lower likelihood of adverse effects compared to those younger than 60 years (RRc: 0.32; 95% CI: 0.0.18–0.59), males compared to females were associated with a lower likelihood of adverse effects (RRc: 0.54; 95% CI 0.30–0.98), being overweight (RRc: 2.34; 95% CI: 1.12–4.89), and last vaccine with Pfizer-BioN-Tech (RRc: 0.42; 95% CI: 0.18–0.96). Associated adverse effects are mild to moderate. Injection site pain and general malaise are the most frequent adverse effects.
Mucosal Vaccination with a Newcastle Disease Virus-Vectored Vaccine Reduces Viral Loads in SARS-CoV-2-Infected Cynomolgus Macaques
Authors: Warner Bryce M. , Chan Mable , Tailor Nikesh , Vendramelli Robert , Audet Jonathan , Meilleur Courtney , Truong Thang , Garnett Lauren , Willman Marnie , Soule Geoff , Tierney Kevin , Albietz Alixandra , Moffat Estella , Higgins Rick , Santry Lisa A. , Leacy Alexander , Pham Phuc H. , Yates Jacob G. E. , Pei Yanlong , Safronetz David , Strong James E. , Susta Leonardo , Embury-Hyatt Carissa , Wootton Sarah K. , Kobasa Darwyn
Published: April 2024

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged following an outbreak of unexplained viral illness in China in late 2019. Since then, it has spread globally causing a pandemic that has resulted in millions of deaths and has had enormous economic and social consequences. The emergence of SARS-CoV-2 saw the rapid and widespread development of a number of vaccine candidates worldwide, and this never-before-seen pace of vaccine development led to several candidates progressing immediately through clinical trials. Many countries have now approved vaccines for emergency use, with large-scale vaccination programs ongoing. Despite these successes, there remains a need for ongoing pre-clinical and clinical development of vaccine candidates against SARS-CoV-2, as well as vaccines that can elicit strong mucosal immune responses. Here, we report on the efficacy of a Newcastle disease virus-vectored vaccine candidate expressing SARS-CoV-2 spike protein (NDV-FLS) administered to cynomolgus macaques. Macaques given two doses of the vaccine via respiratory immunization developed robust immune responses and had reduced viral RNA levels in nasal swabs and in the lower airway. Our data indicate that NDV-FLS administered mucosally provides significant protection against SARS-CoV-2 infection, resulting in reduced viral burden and disease manifestation, and should be considered as a viable candidate for clinical development.
Internal Flow Characteristics of Centrifugal Pumps under Different Startup Combination Schemes
Authors: Zheng Xiaobo , Wang Wei , Zhang Pengli , Pu Yongjian , Zhao Yaping
Published: April 2024

Pump station engineering is a water conservancy project used for long-distance water transfer, irrigation and drainage, and urban living and industrial water supply. Centrifugal pumps are one of the main pump types commonly used in pumping stations, and their operation is of considerable importance for the safety, stability, and efficient operation of pumping stations. This paper takes a large pumping station with seven centrifugal pump units as the research object and combines experimental research and numerical simulation. The axial flow velocity uniformity, average cross-sectional deviation angle, and hydraulic loss of the pump inlet section are evaluated, and the internal flow characteristics of the pump under different startup combination conditions are analyzed based on entropy generation and vorticity. This study also explores the operational performance of the pump station under different startup combination conditions, revealing the mutual influence mechanism between different startup combinations of pump stations and the internal and external characteristics of centrifugal pumps and introducing the optimal startup combination scheme for the pump station system. Research results indicate that the difference in energy loss of centrifugal pumps under different startup combinations is mainly manifested in the impeller and guide vane flow channels. For the two existing inlet flow channel structures in the pump station, the unit effectively operates when the inlet flow channel is tilted to the left. The optimal startup combination method of the pump station under different startup combinations is determined.
Extension of a Monolayer Energy-Budget Degree-Day Model to a Multilayer One
Authors: Augas Julien , Foulon Etienne , Rousseau Alain N. , Baraër Michel
Published: April 2024

This paper presents the extension of the monolayer snow model of a semi-distributed hydrological model (HYDROTEL) to a multilayer model that considers snow to be a combination of ice and air, while accounting for freezing rain. For two stations in Yukon and one station in northern Quebec, Canada, the multilayer model achieves high performances during calibration periods yet similar to the those of the monolayer model, with KGEs of up to 0.9. However, it increases the KGE values by up to 0.2 during the validation periods. The multilayer model provides more accurate estimations of maximum SWE and total spring snowmelt dates. This is due to its increased sensitivity to thermal atmospheric conditions. Although the multilayer model improves the estimation of snow heights overall, it exhibits excessive snow densities during spring snowmelt. Future research should aim to refine the representation of snow densities to enhance the accuracy of the multilayer model. Nevertheless, this model has the potential to improve the simulation of spring snowmelt, addressing a common limitation of the monolayer model.
Power Signal Analysis for Early Fault Detection in Brushless DC Motor Drivers Based on the Hilbert–Huang Transform
Authors: Marcos-Andrade David , Beltran-Carbajal Francisco , Esquivel-Cruz Eduardo , Rivas-Cambero Ivan , Gabbar Hossam A. , Castelan-Perez Alexis
Published: April 2024

Brushless DC machines have demonstrated significant advantages in electrical engineering by eliminating commutators and brushes. Every year, these machines increase their presence in transportation applications. In this sense, early fault identification in these systems, specifically in the electronic speed controllers, is relevant for correct device operation. In this context, the techniques reported in the literature for fault identification based on the Hilbert–Huang transform have shown efficiency in electrical systems. This manuscript proposes a novel technique for early fault identification in electronic speed controllers based on the Hilbert–Huang transform algorithm. Initially, currents from the device are captured with non-invasive sensors in a time window during motor operation. Subsequently, the signals are processed to obtain pertinent information about amplitudes and frequencies using the Hilbert–Huang transform, focusing on fundamental components. Then, estimated parameters are evaluated by computing the error between signals. The existing electrical norms of a balanced system are used to identify a healthy or damaged driver. Through amplitude and frequency error analysis between three-phase signals, early faults caused by system imbalances such as current increasing, torque reduction, and speed reduction are detected. The proposed technique is implemented through data acquisition devices at different voltage conditions and then physical signals are evaluated offline through several simulations in the Matlab environment. The method’s robustness against signal variations is highlighted, as each intrinsic mode function serves as a component representation of the signal and instantaneous frequency computation provides resilience against these variations. Two study cases are conducted in different conditions to validate this technique. The experimental results demonstrate the effectiveness of the proposed method in identifying early faults in brushless DC motor drivers. This study provides data from each power line within the electronic speed controller to detect early faults and extend different approaches, contributing to addressing early failures in speed controllers while expanding beyond the conventional focus on motor failure analysis.
Research on an Intelligent Vehicle Trajectory Tracking Method Based on Optimal Control Theory
Authors: Wang Shuang , Li Gang , Song Jialin , Liu Boju
Published: April 2024

This study aims to explore an intelligent vehicle trajectory tracking control method based on optimal control theory. Considering the limitations of existing control strategies in dealing with signal delays and communication lags, a control strategy combining an anthropomorphic forward-looking reference path and longitudinal velocity closure is proposed to improve the accuracy and stability of intelligent vehicle trajectory tracking. Firstly, according to the vehicle dynamic error tracking model, a linear quadratic regulator (LQR) transverse controller is designed based on the optimal control principle, and a feedforward control strategy is added to reduce the system steady-state error. Secondly, an anthropomorphic look-ahead prediction model is established to mimic human driving behavior to compensate for the signal lag. The double proportional–integral–derivative (DPID) control algorithm is used to track the longitudinal speed reference value. Finally, a joint simulation is conducted based on MatLab/Simulink2021b and CarSim2019.0 software, and the effectiveness of the control strategy proposed in this paper is verified by constructing a semi-physical experimental platform and carrying out a hardware-in-the-loop test. The simulation and test results show that the control strategy can significantly improve the accuracy and stability of vehicle path tracking, which provides a new idea for future intelligent vehicle control system design.
Directions and trends in the modernization of financial support for free medical care
Authors: Алтынов Ю.А.
Published: April 2024

В статье исследуется проблематика оценки потребности в финансовом обеспечении государственных гарантий бесплатной медицинской помощи. Выявлены факторы, определяющие необходимость расширения государственных гарантий бесплатной медицинской помощи на фоне возрастающей потребности общества в услугах здравоохранения. Определены современные тренды модернизации финансового обеспечения государственных гарантий бесплатной медицинской помощи. Предложены новые концептуальные подходы, позволяющие научно обосновать и корректировать тарифную политику в сфере ОМС и расширить состав источников финансового обеспечения медицинской помощи.

The article discusses the problem of determining the need for financial support of state guarantees of free medical care. Factors have been identified that determine the need to expand state guarantees of free medical care against the backdrop of society's growing need for health care services. Modern trends in the modernization of financial support for state guarantees of free medical care have been identified. New conceptual approaches have been proposed that make it possible to scientifically substantiate and adjust the tariff policy in the field of compulsory medical insurance and expand the composition of sources of financial support for medical care.
National projects in the socio-economic development of Russian regions
Authors: Полозков М.Г. , Зуев М.Д.
Published: April 2024

В работе рассмотрены вопросы, касающиеся роли национальных проектов в социально-экономическом развитии регионов РФ. Проанализированы источники финансового обеспечения национальных проектов и их динамика. Акцентировано внимание на региональных проектах, их назначение и роль в экономическом и социальном развитии регионов. Проведена оценка источников финансирования региональных проектов и определена существующая серьезная финансовая их зависимость от межбюджетных трансфертов из федерального бюджета. Проанализированы объемы и структура межбюджетных трансфертов, выделяемых на реализацию региональных проектов. Предложены направления развития государственно-частного партнерства в реализации национальных проектов на региональном уровне.

The work examines issues related to the role of national projects in the socio-economic development of regions of the Russian Federation. The sources of financial support for national projects and their dynamics are analyzed. Attention is focused on regional projects, their purpose and role in the economic and social development of the regions. The sources of financing for regional projects were assessed and their existing serious financial dependence on interbudgetary transfers from the federal budget was determined. The volumes and structure of interbudgetary transfers allocated for the implementation of regional projects are analyzed. Directions for the development of public-private partnerships in the implementation of national projects at the regional level are proposed.
Risk management system for the implementation of government programs
Authors: Дуброва М.В.
Published: April 2024

Программно-целевой подход, применяемый в сфере государственного управления, актуализирует развитие теории и практики управления рисками при реализации государственных программ. В свете постоянно меняющихся экономических, экологических и социальных условий, эффективное управление рисками становится неотъемлемой частью управления реализацией государственных программ. В статье ставится задача систематизации особенностей управления рисками государственных программ агропромышленного комплекса. Управление рисками реализации государственных программ в агропромышленном комплексе является важным аспектом для достижения оптимальных результатов и обеспечения устойчивого развития данной отрасли. Сложность идентификации и оценки рисков в агропромышленном комплексе приводит к невыполнению целевых показателей реализации государственных программ, что обосновывает необходимость развития в государственном управлении риск-ориентированного подхода.

The program-target approach applied in the field of public administration actualizes the development of the theory and practice of risk management in the implementation of government programs. In the light of constantly changing economic, environmental and social conditions, effective risk management is becoming an integral part of managing the implementation of government programs. The article sets the task of systematizing the features of risk management of state programs of the agro-industrial complex. Risk management of the implementation of government programs in the agro-industrial complex is an important aspect for achieving optimal results and ensuring the sustainable development of this industry. The complexity of risk identification and assessment in the agro-industrial complex leads to non-fulfillment of targets for the implementation of government programs, which justifies the need to develop a risk-based approach in public administration.
State regulation of the development of the tourism industry in Russia
Authors: Дзусова С.С.
Published: April 2024

В условиях санкционных ограничений активное развитие туристической индустрии остается одним из самых приоритетных направлений современной государственной финансовой политики, так как выступает импульсом развития других секторов экономики, оживляет инвестиционную привлекательность регионов, позволяет сохранять культурно-исторический потенциал страны. Предлагаемая статья охватывает вопросы государственного регулирования, рассматривает возможные механизмы взаимодействия публичной власти с бизнес-структурами, оказывающими поддержку в решении возникающих проблем и способствующих инновационному развитию индустрии туризма. В этой связи, основной целью статьи является исследование способов и форм государственного регулирования туристической среды с учетом новых направлений развития этой сферы. Результаты исследования позволили выявить закономерности развития новых видов российского туризма и показали, что механизм государственного регулирования развития индустрии туризма наиболее эффективен при активном сотрудничестве государства с бизнес-структурами и некоммерческими организациями, работающими в этой сфере. Исследование проводилось с использованием методов научного обобщения, сравнительного анализа и методов обработки статистических и эмпирических данных. Практическую значимость исследования определили направления совершенствования механизма государственного регулирования, учитывающие реальные проблемы и трансформационные тенденции индустрии современного туризма.

Under the conditions of sanctions restrictions, the active development of the tourism industry remains one of the highest priority areas of modern state financial policy, as it acts as an impetus for the development of other sectors of the economy, revitalizes the investment attractiveness of the regions, and allows preserving the cultural and historical potential of the country. This article covers issues of government regulation, examines possible mechanisms of interaction between public authorities and business structures that provide support in solving emerging problems and contributing to the innovative development of the tourism industry. In this regard, the main goal of the article is to study the methods and forms of state regulation of the tourism environment, considering new directions for the development of this area. The results of the study made it possible to identify patterns in the development of new types of Russian tourism and showed that the mechanism of state regulation of the development of the tourism industry is most effective when implementing a comprehensive state policy aimed at the sustainable development of this sector. The research was carried out using methods of scientific generalization, comparative analysis and methods of processing statistical and empirical data. The practical significance of the study was determined by the directions for improving the mechanism of state regulation, considering the problems of sustainable development and transformational trends in the modern tourism industry.
Práctica pedagógica en el nivel superior, retos actuales para una enseñanza de calidad: una revisión sistemática
Authors: Aguado Ventura Lucy del Pilar , Harvey Gutiérrez Daniel Gerardo , Palacios Guillén Fenia Maiteé
Published: April 2024

El presente estudio describe la importancia del uso de estrategias innovadoras para mejorar la práctica pedagógica de los docentes universitarios partiendo de distintas indagaciones acerca del tema. La metodología aplicada fue la revisión sistemática, amparada en la declaración PRISMA. La búsqueda se realizó en Scielo, Dialnet, Scopus y Sciencedirect, Para la recopilación bibliográfica se consideraron criterios de inclusión y exclusión los cuales arrojaron como resultados de búsqueda 29 fuentes. Dentro de los resultados están la necesidad de la formación pedagógica del docente universitario sobre estrategias transformadoras que le permitan mejorar su saber y práctica pedagógica. Se concluye que la formación continua del docente universitario es indispensable para hacer frente a cambios educativos y las nuevas formas de aprender que exigen las sociedades actuales.
Recursos educativos abiertos como herramientas didácticas para el logro del aprendizaje
Authors: Quispe Choque Marcelina , Nieto Rivas Elier
Published: April 2024

El acceso a recursos educativos abiertos (REA) ha emergido como una herramienta fundamental en la mejora de los procesos de enseñanza y aprendizaje. Este estudio busca analizar el impacto y los desafíos asociados con la implementación de los REA en el ámbito educativo. Se empleó una metodología de revisión bibliográfica, donde se examinaron múltiples fuentes académicas y estudios relevantes sobre el tema. Los resultados revelan que los REA ofrecen oportunidades significativas para superar las barreras de tiempo y espacio en el aprendizaje, al tiempo que promueven la motivación del estudiante y la accesibilidad para personas con discapacidades. Sin embargo, se identificaron desafíos importantes en términos de inversión en infraestructura digital, capacitación docente y cumplimiento de criterios de calidad pedagógica y técnica. En conclusión, se destaca la necesidad de abordar estos desafíos para aprovechar plenamente el potencial de los REA en la educación y garantizar una enseñanza de calidad y equitativa para todos los estudiantes.
Interim Geologic Map of the Jarvis Peak Quadrangle, Washington County, Utah (GIS Reproduction of UGS OFR-212 [1991])
Authors: Hammond Becky J.
Published: April 2024

The Jarvis Peak Quadrangle in southwestern most Utah encompasses the southern portion of the Beaver Dam Mountains and lies within the transition zone between the Colorado Plateau and Basin and Range physiographic provinces. The Beaver Dam Mountain uplift isa northwest-trending, doubly-plunging anticline bounded on the east by the Shivwits syncline. These major folds were developed during the late Mesozoic-early Cenozoic Sevier-Laramide orogeny and are truncated on the east by the Grand Wash-Reef Reservoir-Gunlock fault zone. The Grand Wash fault is a major normal fault that extends southward from the quadrangle to the Grand Canyon. Late Cenozoic (late Miocene to quaternary) extension also caused gravity sliding and attenuation faulting along both sides of the range. The stratigraphic section exposed in the quadrangle ranges in age from Precambrian to Triassic and totals approximately 14,000 feet. The Silurian and Ordovician are the only periods not represented. Surficial units include Quaternary-Tertiary and Quaternary alluvial gravels, pediments, talus, colluvium and landslide materials. Commodities mined from or occurring in the quadrangle include lead, zinc, silver, copper, gallium, germanium, gypsum and sand and gravel.
ENHANCED RECOVERY PROGRAM FOR PATIENTS AFTER COLONIC AND RECTAL SURGERY
Authors:   Surgut Regional Clinical Hospital, Surgut, Russia, Ильканич А. Я. ,   Surgut State University, Surgut, Russia, Дарвин В. В. ,   Surgut Regional Clinical Hospital, Surgut, Russia,   Surgut State University, Surgut, Russia, Воронин Ю. С. ,   Surgut Regional Clinical Hospital, Surgut, Russia
Published: April 2024

The study aims to improve the outcomes of surgical treatment for patients with colon and rectum pathology by using an enhanced recovery program. A retrospective, single-center, non-randomized analysis of the treatment results of 122 patients who underwent elective and emergency colon and rectal surgery was carried out. Patients were divided into two groups: the main group, which included 66 (54.1 %) patients who underwent enhanced recovery program-based surgery in 2020–2021, and the control group, which included 56 (45.9 %) patients who underwent conventional surgery in 2012–2015. The main criteria for comparing the performance were the post-surgery recovery time of the intestines’ functional activity, particularly the time of the peristalsis appearance, the gases output, and the first stool, the number and type of complications, as well as the duration of in-patient treatment. Clinical practice demonstrated significant improvements when using the enhanced recovery protocol for patients after colon and rectal surgeries: accelerated recovery of the intestines’ motor-evacuation function, reduction of the number and severity of post-surgical complications from 30.4 % to 9.1 %, resulting in a faster in-patient recovery from 16.3 ± 9.4 to 9.4 ± 4.2 days.
Caliban Friday: Sublimating Labour in Colonial Books and Bodies
Authors: Uściński Przemysław
Published: April 2024

The stories of Prospero and Crusoe bear many resemblances, yet Caliban and Friday appear to embody distinct imaginative strategies for representing the colonised subject. For one, Caliban praises language only because it allows him to curse. For Prospero, Caliban is a ‘dull thing’, which suggests that Prospero does not qualify Caliban’s cursing as proper speech. If cursing ties language to bodily energies and drives, it desublimates language, provided that cursing is recognised as articulate. This invites the question of the articulation of the bodily in colonial writing, as when the bodily expression is censored or misinterpreted (as in the case of Caliban’s deformed body). Friday, a Black Carib and a cannibal, on the other hand, is according to Crusoe a ‘handsome Fellow, perfectly well-made’ and a ‘faithful, loving, sincere Servant’ who ‘worked very willingly’ without any cursing. If there are some signs of aggression in Friday, Crusoe helps him to sublimate his aggressive instincts (and his cannibalism) into activities more useful than idle cursing. Nevertheless, it is actually Friday who is ‘dull’ in J. M. Coetzee’s retelling of the story, which raises a number of questions with respect to Caliban/Friday, including those concerning muteness and mutilation, labour and discipline, as well as censorship and sublimation.