bluuebunny/crossref_metadata_2025 huggingface dataset:
Transcriptome Analysis Revealed the Possible Reasons for the Change of Ni Resistance in Rhus typhina after Spraying Melatonin
Authors: Qu Tongbao , Ma Yinxi , Yun Minqiang , Zhao Chunli
Published: May 2024

Melatonin (MT) plays an important role in alleviating the stress of soil heavy metal pollution on plants. However, its ability to improve the tolerance of Rhus typhina to Ni stress and its mechanism of action are still unclear. Therefore, MT (0, 50, 100, and 200 μmol·L−1) was sprayed on the leaf surface of R. typhina seedlings under Ni (0 and 250 mg·kg−1) stress to study the differences in growth, physiology, and gene expression. The results showed that exogenous MT could improve the ability of R. typhina to resist Ni stress by inhibiting the degradation of chlorophyll and carotenoid, enhancing photosynthesis, and augmenting the activity of antioxidant enzymes. Moreover, 100 μmol·L−1 MT could increase the Ni concentration in R. typhina seedlings and reduce the translocation factor. Transcriptome analysis showed that MT mainly regulated the expression of related genes in plant hormone signal transduction, starch and sucrose metabolism, and various amino acid metabolism pathways. This study combined physiological and transcriptomic analysis to reveal the molecular mechanism of MT enhancing Ni resistance in R. typhina, and provides a new direction for expanding its application in phytoremediation.
Benthic Macroinvertebrate Communities as Indicator of the Water Quality of a Suburban Stream in the Littoral Region of Cameroon
Authors: Nyamsi Tchatcho Nectaire Lié , Nana Paul Alain , Koji Ernest , Tchakonté Siméon , Lando Zangue Yolande Elsa , Jeunemi Keu Prospère , Bricheux Geneviève , Sime-Ngando Télesphore
Published: May 2024

As bioindicators, benthic macroinvertebrates are often used to assess stream quality. Based on standard hydrobiological study techniques, the physicochemical and biological health status of the Missolé stream was assessed. Waters of the Missolé stream were found to be slightly acidic (pH: 6.23–6.26) and well-oxygenated (O2: 69.80–76.80%), with low values of temperature (T°: 23.60–24° C), turbidity (49.40–88.40 FTU) and mineralized ions (NH4+: 0–1.19 mg/L; NO2-: 0–1.61 mg/L; NO3-: 0.02–6.80 mg/L). Concerning aquatic invertebrate communities, a total of 489 individuals, grouped in two classes, eight orders and 35 families, all belonging to the phylum Arthropoda, were collected and identified. The class of Insecta was the most diversified, with seven orders and 32 families, while that of Crustacea had only one order and three families. Overall, Insecta accounted for 52.35% of the total abundance, and Decapod Crustacea was 47.65%. The three predominant families were Palaemonidae, Dytiscidae and Atyidae. Shannon and Weaver (H’) and Piélou’s evenness (J) indices were high at all stations and showed a slight decrease from upstream to downstream. In the same vein, the Hilsenhoff Biotic Index (HBI) classified the water quality of the Missolé stream as medium. Overall, this suburban aquatic ecosystem offers moderately favorable living conditions for aquatic biota.
Correction: Namathoti, S.; Vakkalagadda, M.R.K. Development of Multiwalled Carbon Nanotubes/Halloysite Nanotubes Reinforced Thermal Responsive Shape Memory Polymer Nanocomposites for Enhanced Mechanical and Shape Recovery Characteristics in 4D Printing Applications. Polymers 2023, 15, 1371
Authors: Namathoti Sivanagaraju , Vakkalagadda Manikanta Ravindra Kumar
Published: May 2024

The authors wish to make the following corrections to this paper: [...]
Biopolymer Materials in Triboelectric Nanogenerators: A Review
Authors: Zhu Qiliang , Sun Enqi , Zhao Zequan , Wu Tong , Meng Shuchang , Ma Zimeng , Shoaib Muhammad , Ur Rehman Hafeez , Cao Xia , Wang Ning
Published: May 2024

In advancing the transition of the energy sector toward heightened sustainability and environmental friendliness, biopolymers have emerged as key elements in the construction of triboelectric nanogenerators (TENGs) due to their renewable sources and excellent biodegradability. The development of these TENG devices is of significant importance to the next generation of renewable and sustainable energy technologies based on carbon-neutral materials. This paper introduces the working principles, material sources, and wide-ranging applications of biopolymer-based triboelectric nanogenerators (BP-TENGs). It focuses on the various categories of biopolymers, ranging from natural sources to microbial and chemical synthesis, showcasing their significant potential in enhancing TENG performance and expanding their application scope, while emphasizing their notable advantages in biocompatibility and environmental sustainability. To gain deeper insights into future trends, we discuss the practical applications of BP-TENG in different fields, categorizing them into energy harvesting, healthcare, and environmental monitoring. Finally, the paper reveals the shortcomings, challenges, and possible solutions of BP-TENG, aiming to promote the advancement and application of biopolymer-based TENG technology. We hope this review will inspire the further development of BP-TENG towards more efficient energy conversion and broader applications.
Psychedelics, the Bible, and the Divine
Authors: Clark-Soles Jaime
Published: May 2024

The current psychedelic renaissance intersects with Christian practices in two key ways. First, as psychedelic-assisted therapy (PAT) becomes more common, Christians undergoing therapeutic medical treatment may seek outside support for integrating into their religious lives mystical experiences that occur during psychedelic sessions. Second, with increasing legal access to psychedelics, more Christians may explore their spiritual potential outside of a medical context, either individually with spiritual guides or collectively in organized retreats. Many will have mystical encounters related to the Divine. Whether the experience involves the overwhelming presence or absence of the Divine, these Christians, too, will seek integration support. This essay argues that the Bible can serve as a rich source for such integration, because it contains significant material about mystical experiences marked by altered states of consciousness. First, I summarize the importance of the psychedelic renaissance, especially the scientific studies being conducted, as it relates to Christian practices of spiritual formation. Second, I explore new work being conducted by biblical scholars regarding embodied religious experiences with the Divine (and others), including mystical experiences. Third, I consider the Apostle Paul’s embodied mystical experience, with special attention to 2 Corinthians 12:1–10, as one example of biblical material that might intersect with or inform psychedelic mystical encounters that contemporary Christians might experience (whether in a medical therapeutic or non-medical spiritual formation setting). Finally, I indicate directions for further research and discussion.
Identification of Dominant Species and Their Distributions on an Uninhabited Island Based on Unmanned Aerial Vehicles (UAVs) and Machine Learning Models
Authors: Wu Jinfeng , Huang Kesheng , Luo Youhao , Long Xiaoze , Yu Chuying , Xiong Hong , Du Jianhui
Published: May 2024

Comprehensive vegetation surveys are crucial for species selection and layout during the restoration of degraded island ecosystems. However, due to the poor accessibility of uninhabited islands, traditional quadrat surveys are time-consuming and labor-intensive, and it is challenging to fully identify the specific species and their spatial distributions. With miniaturized sensors and strong accessibility, high spatial and temporal resolution, Unmanned Aerial Vehicles (UAVs) have been extensively implemented for vegetation surveys. By collecting UAVs multispectral images and conducting field quadrat surveys on Anyu Island, we employ four machine learning models, namely Gradient Boosting Decision Tree (GBDT), Support Vector Machine (SVM), Random Forest (RF) and Multiple Classifier Systems (MCS). We aim to identify the dominant species and analyze their spatial distributions according to spectral characteristics, vegetation index, topographic factors, texture features, and canopy heights. The results indicate that SVM model achieves the highest (88.55%) overall accuracy (OA) (kappa coefficient = 0.87), while MCS model does not significantly improve it as expected. Acacia confusa has the highest OA among 7 dominant species, reaching 97.67%. Besides the spectral characteristics, the inclusion of topographic factors and texture features in the SVM model can significantly improve the OA of dominant species. By contrast, the vegetation index, particularly the canopy height even reduces it. The dominant species exhibit significant zonal distributions with distance from the coastline on the Anyu Island (p < 0.001). Our study provides an effective and universal path to identify and map the dominant species and is helpful to manage and restore the degraded vegetation on uninhabited islands.
Zero-Shot Sketch-Based Remote-Sensing Image Retrieval Based on Multi-Level and Attention-Guided Tokenization
Authors: Yang Bo , Wang Chen , Ma Xiaoshuang , Song Beiping , Liu Zhuang , Sun Fangde
Published: May 2024

Effectively and efficiently retrieving images from remote-sensing databases is a critical challenge in the realm of remote-sensing big data. Utilizing hand-drawn sketches as retrieval inputs offers intuitive and user-friendly advantages, yet the potential of multi-level feature integration from sketches remains underexplored, leading to suboptimal retrieval performance. To address this gap, our study introduces a novel zero-shot, sketch-based retrieval method for remote-sensing images, leveraging multi-level feature extraction, self-attention-guided tokenization and filtering, and cross-modality attention update. This approach employs only vision information and does not require semantic knowledge concerning the sketch and image. It starts by employing multi-level self-attention guided feature extraction to tokenize the query sketches, as well as self-attention feature extraction to tokenize the candidate images. It then employs cross-attention mechanisms to establish token correspondence between these two modalities, facilitating the computation of sketch-to-image similarity. Our method significantly outperforms existing sketch-based remote-sensing image retrieval techniques, as evidenced by tests on multiple datasets. Notably, it also exhibits robust zero-shot learning capabilities in handling unseen categories and strong domain adaptation capabilities in handling unseen novel remote-sensing data. The method’s scalability can be further enhanced by the pre-calculation of retrieval tokens for all candidate images in a database. This research underscores the significant potential of multi-level, attention-guided tokenization in cross-modal remote-sensing image retrieval. For broader accessibility and research facilitation, we have made the code and dataset used in this study publicly available online.
Radon Exposure Assessment in Occupational and Environmental Settings: An Overview of Instruments and Methods
Authors: Kholopo Mota , Rathebe Phoka Caiphus
Published: May 2024

Radon is a naturally occurring noble radioactive gas that poses significant health risks, particularly lung cancer, due to its colorless, odorless, and tasteless nature, which makes detection challenging without formal testing. It is found in soil, rock, and water, and it infiltrates indoor environments, necessitating regulatory standards and guidelines from organizations such as the Environmental Protection Agency, the World Health Organization, and the Occupational Health and Safety Agency to mitigate exposure. In this paper, we present various methods and instruments for radon assessment in occupational and environmental settings. Discussion on long- and short-term monitoring, including grab sampling, radon dosimetry, and continuous real-time monitoring, is provided. The comparative analysis of detection techniques—active versus passive—is highlighted from real-time data and long-term exposure assessment, including advances in sensor technology, data processing, and public awareness, to improve radon exposure evaluation techniques.
Data-Fusion-Based Quality Enhancement for HR Measurements Collected by Wearable Sensors
Authors: Xia Shenghao , Wung Shu-Fen , Chen Chang-Chun , Coompson Jude Larbi Kwesi , Roveda Janet , Liu Jian
Published: May 2024

The advancements of Internet of Things (IoT) technologies have enabled the implementation of smart and wearable sensors, which can be employed to provide older adults with affordable and accessible continuous biophysiological status monitoring. The quality of such monitoring data, however, is unsatisfactory due to excessive noise induced by various disturbances, such as motion artifacts. Existing methods take advantage of summary statistics, such as mean or median values, for denoising, without taking into account the biophysiological patterns embedded in data. In this research, a functional data analysis modeling method was proposed to enhance the data quality by learning individual subjects’ diurnal heart rate (HR) patterns from historical data, which were further improved by fusing newly collected data. This proposed data-fusion approach was developed based on a Bayesian inference framework. Its effectiveness was demonstrated in an HR analysis from a prospective study involving older adults residing in assisted living or home settings. The results indicate that it is imperative to conduct personalized healthcare by estimating individualized HR patterns. Furthermore, the proposed calibration method provides a more accurate (smaller mean errors) and more precise (smaller error standard deviations) HR estimation than raw HR and conventional methods, such as the mean.
Basic Performance Evaluation of a Radiation Survey Meter That Uses a Plastic-Scintillation Sensor
Authors: Yamamoto Keisuke , Shindo Ryota , Ohno Saya , Konta Satoe , Isobe Rio , Inaba Yohei , Suzuki Masatoshi , Hosoi Yoshio , Chida Koichi
Published: May 2024

After the Fukushima nuclear power plant accident in 2011, many types of survey meters were used, including Geiger–Müller (GM) survey meters, which have long been used to measure β-rays. Recently, however, a novel radiation survey meter that uses a plastic-scintillation sensor has been developed. Although manufacturers’ catalog data are available for these survey meters, there have been no user reports on performance. In addition, the performance of commercial plastic-scintillation survey meters has not been evaluated. In this study, we experimentally compared the performance of a plastic-scintillation survey meter with that of a GM survey meter. The results show that the two instruments performed very similarly in most respects. The GM survey meter exhibited count losses when the radiation count rate was high, whereas the plastic-scintillation survey meter remained accurate under such circumstances, with almost no count loss at high radiation rates. For measurements at background rates (i.e., low counting rates), the counting rates of the plastic-scintillation and GM survey meters were similar. Therefore, an advantage of plastic-scintillation survey meters is that they are less affected by count loss than GM survey meters. We conclude that the plastic-scintillation survey meter is a useful β-ray measuring/monitoring instrument.
Impact of Carbon Emission Factors on Economic Agents Based on the Decision Modeling in Complex Systems
Authors: Didenko Nikolay , Skripnuk Djamilia , Barykin Sergey , Yadykin Vladimir , Nikiforova Oksana , Mottaeva Angela B. , Kashintseva Valentina , Khaikin Mark , Nazarova Elmira , Moshkin Ivan
Published: May 2024

This article presents a methodology for modeling the impact of both internal and external environmental carbon emission factors on the resulting indicators of an international company. This research uses picture fuzzy rough sets to model the impact of factors on the resulting indicators as a research method. The proposed model is based on a dataset that includes the company’s profit, revenue, valuation, share price, and market share from 2012 through 2022. This empirical period is optimal for such a type of modeling. An approach of picture fuzzy rough sets based on the time series of endogenous and exogenous variables can provide an opportunity to analyze and consider the consequences of feedback changes in the systems of which they are a part. The article proposes a valuable framework for understanding the complex relationship between carbon emissions, economic factors, and the performance of international companies. The researchers of this study recommend a discussion that attempts to gain a deeper understanding of the challenges and opportunities that lie ahead for international companies in the context of climate change and technological innovation.
Spatio-Temporal Trends in Precipitation, Temperature, and Extremes: A Study of Malawi and Zambia (1981–2021)
Authors: Demissie Teferi , Gebrechorkos Solomon H.
Published: May 2024

Analyzing long-term climate changes is a prerequisite for identifying hotspot areas and developing site-specific adaptation measures. The current study focuses on assessing changes in precipitation, maximum and minimum temperatures, and potential evapotranspiration in Zambia and Malawi from 1981 to 2021. High-resolution precipitation and temperature datasets are used, namely, Climate Hazards Group InfraRed Precipitation with Station data (0.05°) and Multi-Source Weather (0.1°). The Mann–Kendall trend test and Sen’s Slope methods are employed to assess the changes. The trend analysis shows a non-significant increase in annual precipitation in many parts of Zambia and Central Malawi. In Zambia and Malawi, the average annual and seasonal maximum and minimum temperatures show a statistically significant increasing trend (up to 0.6 °C/decade). The change in precipitation during the major rainy seasons (December–April) shows a non-significant increasing trend (up to 3 mm/year) in a large part of Zambia and Central Malawi. However, Malawi and Northern Zambia show a non-significant decreasing trend (up to −5 mm/year). The change in December–April precipitation significantly correlates with El Niño–Southern Oscillation (Indian Ocean Dipole) in Southern (Northern) Zambia and Malawi. To minimize the impact of the observed changes, it is imperative to develop adaptation measures to foster sustainability in the region.
Can Digital Innovation Improve Green Total Factor Productivity: Evidence from Digital Patents of China
Authors: Rao Wanying , Liu Pingfeng
Published: May 2024

Amid intensifying global economic rivalries, China has pinpointed the digital economy and sustainable growth as key accelerators for societal and economic progress. Digital innovation (DI) plays a crucial role in propelling China’s economy towards sustainable growth, by serving as the technological backbone of the digital economy. This study explores how DI influences China’s GTFP through an analysis of panel data covering 30 provinces, municipalities, and autonomous regions from 2005 to 2021. The results indicate that DI greatly contributes to the enhancement of GTFP. DI can also indirectly promote GTFP by increasing the effectiveness of factor allocation efficiency including capital, labor, and technology. Heterogeneity analysis results indicate that the influence of DI on GTFP differs depending on the degree of intellectual property protection (IPP), the development of digital infrastructure construction (DIC), and the geographical location. A higher degree of IPP and developed DIC make areas better suited for the role of DI in advancing GTFP. Furthermore, in the central and eastern areas, the impact of the digital economy on the promotion of GTFP is particularly noticeable. This study offers reliable empirical evidence for the effect of DI on GTFP and contributes to China’s digital economy and sustainable development.
Holistic Antecedent Analysis of Behavioral Intention among Green Consumers in the Philippines: A Sustainability Theory of the Planned Behavior Approach
Authors: Ilagan Shiela Mae C. , Ong Ardvin Kester S. , German Josephine D. , Gumasing Ma. Janice J. , Pabalan Kyla Marie P.
Published: May 2024

Concerns over sustainability have recently drawn more attention in a post-COVID-19 environment, particularly from developing countries. This heightened global awareness of sustainability highlights the importance of comprehending consumer behavior in purchasing green products. This study utilized an extended theory of planned behavior (TPB) called the sustainability theory of planned behavior (STPB) to holistically assess the behavioral intention among green consumers in a particular developing country: the Philippines. Convenience sampling was used with 500 participants, and 54 modified questions were distributed online. Different factors, such as perceived environmental concern, perceived economic concern, perceived authority support, subjective norm, attitude, perceived behavioral control, customer perceived value, and purchasing intention, were assessed concurrently through the structural equation modeling (SEM) approach. Through this, it was discovered that all the STPB predictors were significant drivers affecting the consumers’ purchasing intention, with customer perceived value having the highest direct effect. Moreover, it was found that the relationship between perceived economic concern on subjective norms and perceived behavioral control was insignificant. Further implications and comparisons were made based on the results of the study. The study’s findings can be utilized to help policymakers and marketers devise strategies that will effectively encourage sustainability through targeted interventions and increased product awareness. The study has validated the integration of new constructs into the TPB, enhancing the predictive power of the proposed model for assessing the behavioral intention to purchase green products. Thus, the model construct can be applied and utilized to investigate other topics regarding sustainability.
Does Industrial Intelligence Promote Sustainable Employment?
Authors: Guo Mi
Published: May 2024

One of the key driving factors for achieving the goal of sustainable economic development is to ensure decent employment opportunities. This article explores the relationship between industrial intelligence and sustainable development in China from the perspective of employment. Based on interprovincial panel data from 2006 to 2019, using the fixed-effect regression model and mediating-effect regression model, this study empirically tests the impact of industrial intelligence on sustainable employment in China. The following conclusions are drawn: (1) Industrial intelligence has a significant positive impact on the overall scale of employment. Industrial intelligence has promoted the optimization and upgrading of employment skill structure and industrial structure. Industrial intelligence will reduce the employment proportion of low-skilled labor and increase the employment proportion of medium-skilled labor and high-skilled labor. Industrial intelligence significantly reduces the employment share of the manufacturing sector and increases the employment share of the service sector. (2) Industrial intelligence reduces employment levels through capital deepening effects. Industrial intelligence has significantly improved regional labor productivity and significantly improved employment levels through productivity effects. (3) The results of regional heterogeneity show that industrial intelligence has promoted the improvement of employment level and the upgrading of employment structure in the eastern region but has not had a significant positive impact on other regions.
Health Capital and a Sustainable Economic-Growth Nexus: A High-Frequency-Data Analysis during COVID-19
Authors: Sungur Nazlı Ceylan , Akdoğan Ece C. , Gökten Soner
Published: May 2024

The recent COVID-19 pandemic effectively concretized the vitality of health expenditure and the economic-growth nexus, and the threat of new pandemics make re-examining this relationship a necessity. Consequently, this paper focuses on this nexus for developed OECD countries, paying particular attention to the effects of the COVID-19 pandemic. The use of stock indices as proxy variables for health expenditure and economic growth enabled the examination of this nexus by using high-frequency data and financial econometric techniques, specifically via rolling correlation and bivariate GARCH analyses. The data span 1170 observations between 15 May 2018 and 11 November 2022. Since the research period overlaps with the outbreak of Ukraine–Russia war, additional insights are obtained regarding the effects of the war as well. It was found that an increase in health expenditure leads to a delayed increase in economic growth even in the short term, and this relationship mainly develops during crises such as epidemics, wars, supply chain breakdowns, etc., for developed OECD countries. Given the aging population of developed countries, which will probably deteriorate the health status of those countries in the near future, the increasing political tensions around the globe and the considerations of a global recession highlight the importance and the inevitability of investments in health capital for developed countries as well.
Research Hotspots and Trends of Nitrification Inhibitors: A Bibliometric Review from 2004–2023
Authors: Shi Huai , Liu Guohong , Chen Qianqian
Published: May 2024

Nitrification inhibitors are essential in agricultural and environmental production practices. They play a crucial role in promoting agricultural and environmental sustainability by enhancing nitrogen use efficiency, boosting crop yields, and mitigating the adverse environmental effects of nitrogen losses. This bibliometric analysis covers the period from 2004 to 2023, offering a detailed examination of the development of nitrification inhibitor research. The study demonstrates a consistent growth in research publications, indicating sustained interest and dedication to advancing the field. It identifies key contributors, such as institutions and researchers, and underscores the significance of their work through citation analysis. Keyword co-occurrence analysis reveals four distinct clusters focusing on enhancing crop yields, understanding microbial community dynamics, exploring grazing pasture applications, and addressing environmental impact mitigation. The cutting-edge area of keyword burst detection research has transitioned from fundamental research to comprehensive nitrogen management practices. This analysis provides insights into the current research landscape of nitrification inhibitors and proposes future research directions, underscoring the critical role of this field in tackling global agricultural and environmental challenges.
Innovation Helps with Sustainable Business, Law, and Digital Technologies: Economic Development and Dispute Resolution
Authors: Wang Shumin , Li Yincheng , Khaskheli Muhammad Bilawal
Published: May 2024

This paper discusses the dispute resolution procedure that innovative digital commerce has adopted for the future for sustainable business. As digital trade becomes increasingly important for economic growth, trade-related disputes must be settled in both business and consumer situations. This study examines the advantages of using digital technology to resolve disputes involving digital trade and discusses how digital technology is changing traditional dispute resolution procedures. Conventional trade disputes differ from their digital counterparts because the digital sphere gives rise to more complex trade conflicts that require stronger regulatory resources. The utilization of digital technologies such as blockchain, artificial intelligence, innovation-based models, digital strategies, and others can enhance the efficacy of conflict resolution. Digital technology can assist in resolving disputes with digital trade, even though procedural fairness issues including prejudice and algorithmic opacity may also arise. The research highlights the importance of developing innovative techniques to set up trade dispute resolution procedures and building legal frameworks for jurisdiction, trial, and enforcement procedures in addition to stressing the usage of digital technology.
Carotid Body Tumor Excision with and without Carotid Artery Reconstruction: Equivalency of 30-Day Outcomes over 12 Years in the American College of Surgery National Surgical Quality Improvement Program (ACS-NSQIP) Database
Authors: Chaney Michael , Ko Alexander , Coster Samuel , Shebrain Saad , Ryan Jason
Published: May 2024

Background: Carotid body tumors (CBTs) are rare benign tumors that arise from the chemoreceptor tissue located at the carotid bifurcation that require excision if symptomatic. Depending on the size and location of the tumor, the carotid artery may need to be repaired after resection. This study aims to assess whether CBT excision with artery resection had higher rates of 30-day postoperative outcomes compared with CBT excision without artery resection. Methods: This is a retrospective cohort study. Patients were identified in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) registry from 2005 to 2017. They were divided into two groups, based on Current Procedural Terminology (CPT®) codes: group A had CBT excision without carotid artery excision (CPT code 60600) and group B with carotid artery excision (CPT code 60605). Patient demographic characteristics, co-morbidities, and 30-days postoperative outcomes were compared between the two groups. Categorical data were analyzed using Pearson’s X2 or Fisher exact tests and presented as proportions (percentages). Continuous data were analyzed using parametric or non-parametric tests as appropriate. Statistical significance was defined as p < 0.05. Statistical analysis was performed using the SPSS statistical software package. Results: A total of 463 patients were identified, 410 (88.4%) in group A and 53 (11.4%) in group B. Overall, there were 291 (62.9%) women. A higher proportion of women underwent CBT excision only, compared to men (91.1% [265/291] vs. 84.3% [145/172], p < 0.0001). Demographics and comorbidities were similar between groups. There was no significant difference in the 30-day postoperative outcomes. The reoperation rate was higher in group B (3.8% vs. 1.5%, p = 0.334), while the readmission rate was higher in group A (3.2% vs. 0% p = 0.269), and both were not significantly different. Overall morbidity and serious morbidity were higher in group B (7.5% vs. 5.9%, p = 0.626) and lower in group A (5.7% vs. 3.9%, p = 0.544), respectively, but were not significantly different. Operative time (mean, SD) was higher in group B (187 ± 107 vs. 138 ± 66 min, p < 0.001). However, the median (IQR) of hospital length of stay (LOS) was similar (2 [1, 4] vs. 2 [1, 3] days, p = 0.134). Conclusions: Overall, no difference was noted in the 30-day postoperative outcome between the two surgical approaches of CBT. However, operative time was longer when artery resection was performed. Further research to determine the factors predicting the need for carotid artery resection among patient gender is needed.
Editorial for Special Issue “Various Approaches for Generalized Integral Transforms”
Authors: Kim Hwajoon
Published: May 2024

The Laplace transform can be interpreted as a method of converting a function from the time domain to the complex domain [...]
In Vivo and In Vitro Interactions between Exopolysaccharides from Bacillus thuringensis HD270 and Vip3Aa11 Protein
Authors: Ma Tianjiao , Huang Jinqiu , Xu Pengdan , Shu Changlong , Wang Zeyu , Geng Lili , Zhang Jie
Published: May 2024

Bacillus thuringiensis (Bt) secretes the nutritional insecticidal protein Vip3Aa11, which exhibits high toxicity against the fall armyworm (Spodoptera frugiperda). The Bt HD270 extracellular polysaccharide (EPS) enhances the toxicity of Vip3Aa11 protoxin against S. frugiperda by enhancing the attachment of brush border membrane vesicles (BBMVs). However, how EPS-HD270 interacts with Vip3Aa11 protoxin in vivo and the effect of EPS-HD270 on the toxicity of activated Vip3Aa11 toxin are not yet clear. Our results indicated that there is an interaction between mannose, a monosaccharide that composes EPS-HD270, and Vip3Aa11 protoxin, with a dissociation constant of Kd = 16.75 ± 0.95 mmol/L. When EPS-HD270 and Vip3Aa11 protoxin were simultaneously fed to third-instar larvae, laser confocal microscopy observations revealed the co-localization of the two compounds near the midgut wall, which aggravated the damage to BBMVs. EPS-HD270 did not have a synergistic insecticidal effect on the activated Vip3Aa11 protein against S. frugiperda. The activated Vip3Aa11 toxin demonstrated a significantly reduced binding capacity (548.73 ± 82.87 nmol/L) towards EPS-HD270 in comparison to the protoxin (34.96 ± 9.00 nmol/L). Furthermore, this activation diminished the affinity of EPS-HD270 for BBMVs. This study provides important evidence for further elucidating the synergistic insecticidal mechanism between extracellular polysaccharides and Vip3Aa11 protein both in vivo and in vitro.
High-Risk Areas for Congenital Zika Syndrome in Rio de Janeiro: Spatial Cluster Detection
Authors: Freitas Danielle Amaral de , Wakimoto Mayumi Duarte , Dias Sónia , Souza-Santos Reinaldo
Published: May 2024

Brazil reported 18,282 suspected congenital Zika syndrome (CZS) cases up to 2018 and accounts for 61.4% of the total reported Zika cases in the Americas in the period. To detect high-risk areas for children with CZS in the city of Rio de Janeiro, we used cluster detection and thematic maps. We analyzed data using a Poisson model in Satscan 10.1.3 software. We also analyzed the records of children with CZS from 2015 to 2016 to describe the clinical and epidemiological maternal and child profile, as well as live births in 2016 and the social development index (SDI) by neighborhood. In 2015 and 2016, the incidence rates of CZS were 8.84 and 46.96 per 100,000 live births in the city, respectively. Severe congenital findings such as microcephaly and brain damage, osteoarticular impairment, ocular abnormalities, and hearing loss were observed in 47 children. The spatial distribution of CZS was concentrated in the north and west zones in heterogeneous neighborhoods. The neighborhoods with the highest occurrence of CZS cases were found to have the worst SDIs. Stascan detected three spatial clusters in the north zone, where the SDI is lower. The clusters presented high relative risks for CZS (7.86, 1.46, and 2.08), although they were not statistically significant. Our findings highlight a higher occurrence of CZS in areas with less favorable socioeconomic conditions.
Functional or Neglected Border Regions? Analysis of the Integrated Development Plans of Borderland Municipalities in South Africa
Authors: Maila Thato L. , Czimre Klára
Published: May 2024

The mainstream approach of regional integration impact assessments is mainly limited to assessing cross-border development projects/programmes. There is still a lack of critical assessment of how stakeholders at different institutional levels conceptualise the border. Local (municipal) strategic plans provide a reflection of the spatial imaginaries of stakeholders, perception planners, institutional power structures, and, to some extent meaning of the border to the local people. Integrated Development Plans (IDPs) in South Africa were adopted as an important development planning strategy in the post-apartheid era. IDPs of 49 borderland municipalities were systematically reviewed using the Key-Word-in-Context (KWIC) content analysis technique of the keyword ‘border’ to determine the importance of state borders in light of regional integration. Border security and management is one of the most common themes associated with the border. This suggested that borders were mainly perceived as threats and barely considered as a potential resource for cross-border cooperation or integration.
Factors Associated with COVID-19 Vaccination Hesitancy and Most Frequently Vaccinated Status in a Japanese Population-Based Sample
Authors: Shirama Aya , Stickley Andrew , Sumiyoshi Tomiki
Published: May 2024

While many countries across the world have had difficulty in providing continuous coronavirus disease (COVID-19) vaccine boosters, in Japan, the number of COVID-19 vaccinations has increased rapidly in the past two years to the point where the vaccination booster numbers are now at the highest level in the world (by March 2023). Against this backdrop, this study aimed to determine the characteristics of individuals who either refused to be vaccinated or who were vaccinated multiple (five) times during this period. We analyzed data from a sample of 3710 Japanese adults that were collected in a nationwide, cross-sectional Internet survey that was undertaken in March 2023. Several demographics (e.g., age, education level, marital status, job status), medical conditions, daily smoking, and mental health/psychological factors (i.e., perceived stress, anxiety symptoms, loneliness) were associated with not having been vaccinated. Although the most frequently vaccinated status was also associated with some demographics (e.g., age, employment status), medical conditions, and daily smoking, other predictors such as having a COVID-19 infection history were unique to this outcome. Moreover, age-stratified analyses showed that depression (OR: 2.05, 95%CI: 1.08–3.89) and anxiety (OR: 3.87, 95%CI: 1.80–8.31) symptoms were associated with higher odds of being unvaccinated while loneliness was associated with lower odds for the most frequently vaccinated status (OR: 0.72, 95%CI: 0.54–0.96) among older adults (aged ≥ 60 years). The findings of this study indicate that many of the same factors are associated with vaccine hesitancy and being vaccinated multiple times among adults in Japan but that among older individuals, worse mental/psychological health problems may be important for vaccine hesitancy/infrequent vaccine uptake in an age range where the majority of individuals (57.7%) had been vaccinated five times.
Water Resource Utilization Assessment in China Based on the Dynamic Relationship between Economic Growth and Water Use
Authors: Wang Saige , Sun Ziyuan , Liu Jing , Zhou Anhua
Published: May 2024

Water scarcity has significantly hampered China’s economic, social, and environmental development. Ensuring sustainable water utilization is crucial given the mounting water stress accompanying continuous economic growth. A quantitative water resource forewarning model was constructed using the vector autoregressive (VAR) model. By analyzing the key indicators related to water systems and GDP data from 2001 to 2022, the VAR model revealed the long-term dynamic correlation between water consumption and economic growth using generalized impulse response, co-integration, and predictive variance decomposition analyses. The results revealed the presence of a long-term equilibrium between water consumption and economic growth, with a stable co-integration relationship and an optimal lag period of one year. The positive impact of water consumption on economic development increased during the 2001–2022 period, indicating a rising dependence of GDP on water resources. Water usage rose with economic development, while the water resource carrying capacity remained high and continued to grow. Based on the generalized impulse response, co-integration, and predictive variance decomposition analyses, this study predicted water-use-related indicators, providing vital early warnings for China’s water environment carrying capacity from 2023 to 2050. This enabled informed decision-making and fostered sustainable water management practices for the future.
River Ecological Restoration and Groundwater Artificial Recharge II
Authors: Zhai Yuanzheng , Wu Jin
Published: May 2024

The depletion of rivers and groundwater caused by climate change and human activity is threatening water security and ecosystems [...]
Position Correction Control of Permanent-Magnet Brushless Motor Based on Commutation-Interval Current Symmetry
Authors: Guo Yongwu , Zhang Yun , Li Xiaowei
Published: May 2024

With the needs of environmental protection and the adjustment of energy structure, new energy vehicles are playing an increasingly important role in the field of transportation today. The permanent-magnet brushless direct-current motor has the characteristics of high efficiency, and can be used in the drive system of new energy vehicles or other auxiliary equipment. In the control process of the permanent-magnet brushless direct-current motor, based on a three-Hall position sensor, due to various factors, there are some errors in the Hall position signal, which must be corrected by appropriate measures. In this paper, the relationship between the position deviation in the commutation interval and the non-commutation-phase current is analyzed, and the current expressions in three different states are given. A new closed-loop compensation strategy for correcting the inaccurate commutation caused by the Hall signal error is proposed. Taking the position of a 30° electrical angle before and after the phase-change point as the H point, realizing the current symmetry within the 30° interval around the H point as the target and the sum of the slopes of the tangent lines at the two points symmetrical within the β (0 < β < 30) electrical angle around the H point as the deviation, a proportional-integral regulator is designed to correct the phase error of the phase-change signal. Finally, it is verified by experiments that the closed-loop compensation strategy proposed in this paper can effectively compensate the phase deviation of the commutation signal at a speed of about 2000 r/min, which improves the working efficiency of the motor to a certain extent.
Modern problems of determining net realizable value in RAS and IFRS and ways to solve them
Authors:   Federal State Autonomous Educational Institution of Higher Education “Lobachevsky State University of Nizhni Novgorod”, Nizhny Novgorod, Russia, Druzhilovskaya E.S.
Published: May 2024

Thanks to the Federal Accounting Standard (FAS) 5/2019, net realizable value was introduced into Russian accounting for inventories. A similar value is also used in IAS 2. Despite the relatively long period of use of the specified value, its estimation still raises a number of questions when accounting and reporting according to both Russian and International Standards (hereinafter referred to as RAS and IFRS). These problems and ways to solve them are analyzed in this article. When carrying out research, methods such as analysis and synthesis, grouping method, comparison, analogy method, logical approach, systematic approach were used. As a result of the research carried out in this work, the main modern problems associated with determining the net realizable value in Russian and international accounting have been identified and proposals for their solution have been substantiated. The results obtained in this article will be useful to a wide range of readers interested in current issues relating to the regulations of RAS and IFRS, including the calculation of the net realizable value of inventories, can be used in the educational process of higher educational institutions, in the practical work of accounting departments of modern organizations, as well as in development and improvement of relevant domestic and international accounting standards.
Information and analytical aspects of financial investment management of a medical organization
Authors:   Federal State Budgetary Educational Institution of Higher Education “Plekhanov Russian University of Economics”, Moscow, Russia, Plaskova N.S.
Published: May 2024

For Russian companies, solving problems related to the management of financial assets and instruments has become much more complicated under the influence of global changes over the past few years related to external negative political and financial and economic processes. The increase in the scale of activities of commercial medical organizations in recent years, one of the main reasons for which are the negative effects of the recent pandemic on public health, is accompanied by an increase in the volume of services provided, income and income of additional funds that need to be invested in various assets, one of which is financial investments. Restrictions on access to Western financial trading platforms to achieve the necessary efficiency of the organization’s financial portfolio, difficulties in the operation of the system of external financial settlements and payment obligations, and many other risky events led to the need to search for alternative transactions with financial resources of companies, new directions and forms of investments of available funds. The issues discussed in the article are devoted to the creation of an optimal policy for managing investments in financial assets of an organization, which should be based on high-quality information, analytical and methodological support.
The system of state benefits for families with children: current state and directions of development
Authors:   Department of Social Work and Psychological and Pedagogical Education, FSBEI HE Nosov Magnitogorsk State Technical University, Oleynik E. V. , Shapiro D. E. ,   Department of Social Work and Psychological and Pedagogical Education, FSBEI HE Nosov Magnitogorsk State Technical University
Published: May 2024

The article is devoted to the Russian system of state benefits for families with children as a component of the general system of their social security. The main types of state benefits established by federal and regional legislation are revealed on the example of individual subjects of the Russian Federation. Based on the analysis, the priority of this area of state social policy is noted, which determines the key vectors of its further improvement.
Social support for families with children with special needs
Authors:   Department of Social Work and Psychological and Pedagogical Education, FSBEI HE Nosov Magnitogorsk State Technical University, Ispulova S. N. , Sadovina D. E. ,   Department of Social Work and Psychological and Pedagogical Education, FSBEI HE Nosov Magnitogorsk State Technical University, Makarenko E. A. ,   Department of Social Work and Psychological and Pedagogical Education, FSBEI HE Nosov Magnitogorsk State Technical University
Published: May 2024

In Russia, despite the efforts made and significant progress in medicine, the number of people with special needs is growing slowly but steadily. In our country, the number of children in need of special education increases by 3–5 % every year. Technologies for social rehabilitation of these children require the mandatory inclusion of parents in rehabilitation activities, mothers and fathers’ attendance of classes to teach the basics of social and medical rehabilitation, and meetings of parents to specify further work with the child at home. Thus, children and parents are jointly trained in independent living skills.