bluuebunny/crossref_metadata_2025 huggingface dataset:
Preliminary Experience with Three Alternative Motion Sensors for 0.55 Tesla MR Imaging
Authors: Tibrewala Radhika , Brantner Douglas , Brown Ryan , Pancoast Leanna , Keerthivasan Mahesh , Bruno Mary , Block Kai Tobias , Madore Bruno , Sodickson Daniel K. , Collins Christopher M.
Published: June 2024

Due to limitations in current motion tracking technologies and increasing interest in alternative sensors for motion tracking both inside and outside the MRI system, in this study we share our preliminary experience with three alternative sensors utilizing diverse technologies and interactions with tissue to monitor motion of the body surface, respiratory-related motion of major organs, and non-respiratory motion of deep-seated organs. These consist of (1) a Pilot-Tone RF transmitter combined with deep learning algorithms for tracking liver motion, (2) a single-channel ultrasound transducer with deep learning for monitoring bladder motion, and (3) a 3D Time-of-Flight camera for observing the motion of the anterior torso surface. Additionally, we demonstrate the capability of these sensors to simultaneously capture motion data outside the MRI environment, which is particularly relevant for procedures like radiation therapy, where motion status could be related to previously characterized cyclical anatomical data. Our findings indicate that the ultrasound sensor can track motion in deep-seated organs (bladder) as well as respiratory-related motion. The Time-of-Flight camera offers ease of interpretation and performs well in detecting surface motion (respiration). The Pilot-Tone demonstrates efficacy in tracking bulk respiratory motion and motion of major organs (liver). Simultaneous use of all three sensors could provide complementary motion information outside the MRI bore, providing potential value for motion tracking during position-sensitive treatments such as radiation therapy.
Spectral Efficiency Maximization for Mixed-Structure Cognitive Radio Hybrid Wideband Millimeter-Wave Transceivers in Relay-Assisted Multi-User Multiple-Input Multiple-Output Systems
Authors: Mustafa Hafiz Muhammad Tahir , Baik Jung-In , Song Hyoung-Kyu , Adnan Muhammad , Awan Waqar Majeed
Published: June 2024

This paper proposes a cognitive radio network (CRN)-based hybrid wideband precoding for maximizing spectral efficiency in millimeter-wave relay-assisted multi-user (MU) multiple-input multiple-output (MIMO) systems. The underlying problem is NP-hard and non-convex due to the joint optimization of hybrid processing components and the constant amplitude constraint imposed by the analog beamformer in the radio frequency (RF) domain. Furthermore, the analog beamforming solution common to all sub-carriers adds another layer of design complexity. Two hybrid beamforming architectures, i.e., mixed and fully connected ones, are taken into account to tackle this problem, considering the decode-and-forward (DF) relay node. To reduce the complexity of the original optimization problem, an attempt is made to decompose it into sub-problems. Leveraging this, each sub-problem is addressed by following a decoupled design methodology. The phase-only beamforming solution is derived to maximize the sum of spectral efficiency, while digital baseband processing components are designed to keep interference within a predefined limit. Computer simulations are conducted by changing system parameters under different accuracy levels of channel-state information (CSI), and the obtained results demonstrate the effectiveness of the proposed technique. Additionally, the mixed structure shows better energy efficiency performance compared to its counterparts and outperforms benchmarks.
Consensus-Based Formation Control with Time Synchronization for a Decentralized Group of Mobile Robots
Authors: Siwek Michał
Published: June 2024

The development and study of an optimal control method for the problem of controlling the formation of a group of mobile robots is still a current and popular theme of work. However, there are few works that take into account the issues of time synchronization of units in a decentralized group. The motivation for taking up this topic was the possibility of improving the accuracy of the movement of a group of robots by including dynamic time synchronization in the control algorithm. The aim of this work was to develop a two-layer synchronous motion control system for a decentralized group of mobile robots. The system consists of a master layer and a sublayer. The sublayer of the control system performs the task of tracking the reference trajectory using a single robot with a kinematic and dynamic controller. In this layer, the input and output signals are linear and angular velocity. The master layer realizes the maintenance of the desired group formation and synchronization of robots during movement. Consensus tracking and virtual structure algorithms were used to implement this level of control. To verify the correctness of operation and evaluate the quality of control for the proposed proprietary approach, simulation studies were conducted in the MATLAB/Simulink environment, followed by laboratory tests using real robots under ROS. The developed system can successfully find application in transportation and logistics tasks in both civilian and military areas.
A Cross-View Geo-Localization Algorithm Using UAV Image and Satellite Image
Authors: Fan Jiqi , Zheng Enhui , He Yufei , Yang Jianxing
Published: June 2024

Within research on the cross-view geolocation of UAVs, differences in image sources and interference from similar scenes pose huge challenges. Inspired by multimodal machine learning, in this paper, we design a single-stream pyramid transformer network (SSPT). The backbone of the model uses the self-attention mechanism to enrich its own internal features in the early stage and uses the cross-attention mechanism in the later stage to refine and interact with different features to eliminate irrelevant interference. In addition, in the post-processing part of the model, a header module is designed for upsampling to generate heat maps, and a Gaussian weight window is designed to assign label weights to make the model converge better. Together, these methods improve the positioning accuracy of UAV images in satellite images. Finally, we also use style transfer technology to simulate various environmental changes in order to expand the experimental data, further proving the environmental adaptability and robustness of the method. The final experimental results show that our method yields significant performance improvement: The relative distance score (RDS) of the SSPT-384 model on the benchmark UL14 dataset is significantly improved from 76.25% to 84.40%, while the meter-level accuracy (MA) of 3 m, 5 m, and 20 m is increased by 12%, 12%, and 10%, respectively. For the SSPT-256 model, the RDS has been increased to 82.21%, and the meter-level accuracy (MA) of 3 m, 5 m, and 20 m has increased by 5%, 5%, and 7%, respectively. It still shows strong robustness on the extended thermal infrared (TIR), nighttime, and rainy day datasets.
A Fundamental Study of the Sustainable Key Competencies for Remote Operators of Maritime Autonomous Surface Ships
Authors: Kim Jeongmin
Published: June 2024

The introduction of MASSs, facilitated by the advancement of autonomous navigation technologies, is anticipated to lead to the emergence of new technologies, novel vessel types, and innovative job positions like remote operators at remote operation centers. The MASS Code is currently being discussed by the Maritime Safety Committee of the International Maritime Organization. This Code is expected to be adopted in the form of non-mandatory guidelines until 2025, with the goal of establishing mandatory requirements by 2028. Additionally, revisions to the International Convention on Standards of Training, Certification and Watchkeeping for Seafarers related to crew training and qualifications are planned for adoption by 2027. These revisions will include requirements for MASS operators. This paper aims to examine the sustainable key competencies required for safe MASS operation by remote operators using the Analytic Hierarchy Process method, considering the emergence of the new profession of remote operator. Building upon the 66 knowledge, understanding, and proficiencies outlined for marine officers in the STCW Convention, the paper aims to identify the additional competencies required for remote operators and contribute to the development of a training model for the future.
Exploring Digital-Environment Habitus in Italy—How Digital Practices Reflect Users’ Environmental Orientations?
Authors: Ruiu Maria Laura , Ruiu Gabriele , Ragnedda Massimo , Addeo Felice
Published: June 2024

This study employs the Bourdieusian concept of habitus to explore how users’ mental dispositions are associated with both their eco-conscious use of digital technologies and online behaviours. The digital-environmental habitus, reflecting such a combination of digital technology use and environmental attitudes, is explored through an online survey of 1188 participants. Factorial analyses are used to measure the environmental orientation of digital users, their digital expertise, and the digital-environmental habitus, encompassing both awareness and behavioural dimensions. We then use a path structural model to investigate the relationship among these constructs. The results indicate that pro-environmental dispositions are associated with digital pro-environmental awareness and behaviours. The existence of digital-specific environmental awareness also enhances pro-environmental digital behaviours, emphasising the importance of educating users about the environmental impact of digital tools. While digital expertise alone does not significantly predict digital-environmental awareness, it does moderate the digital-environmental habitus’s behavioural aspect, promoting behaviours mutually beneficial for users and the environment. Further research is needed to understand how benefit-oriented and eco-centric environmentalism manifests in the digital arena.
Control or Losing Control: Consumer Perceptions of Controlled Environment Agriculture (CEA) Based on Focus Group Findings
Authors: Gan Ivy Caixia , Conroy Denise Maria
Published: June 2024

Technology and innovation are important in mitigating the risks imposed by climate change in many areas, including agriculture and food production. Many novel and emerging agri-food technologies are marching their way to market; however, consumer perceptions are crucial to the adoption of new agri-food technologies which claim to be more sustainable than conventional growing systems. This study investigates how the sense of control, an important psychological factor for human behaviours, may interact with consumers’ perceptions of new agri-food technologies, and consequently affect their attitudes towards new technologies for future food production and consumption in the age of climate change. In total, 23 focus groups (n = 117) were conducted across New Zealand using Controlled Environment Agriculture (CEA, a technology-based approach to food production that optimises growing conditions for plants through the regulation of environmental factors) as the exemplar technology for discussion. Findings reveal that, when climate change and the challenge of feeding the world sustainably were presented, CEA was accepted as a means to retain control over climate and environmental crises. Meanwhile, CEA was also speculated as a threat to consumers’ sense of control concerning individual body and health, social order, and ecosystem order. To manage the disruptions that CEA may impose on perceived control, consumers may adopt different strategies to compensate for the perceived loss in their sense of control.
Framework of Smart and Integrated Household Waste Management System: A Systematic Literature Review Using PRISMA
Authors: Wirani Yekti , Eitiveni Imairi , Sucahyo Yudho Giri
Published: June 2024

Household waste is the primary source of environmental pollution due to global population growth compared to other waste sources. This article aims to develop a framework for a smart and integrated household waste management system through a Systematic Literature Review (SLR) using the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA). The resulting framework not only focuses on information technology dimensions but also links them with other integrated dimensions. The framework’s design identifies the types of household waste management processes based on the Integrated Sustainable Waste Management (ISWM) framework, dimensions that support smart household waste management system, and the stakeholders involved. The SLR results, which include dimensions and subdimensions supporting the smart and integrated household waste management system framework, were validated by experts from the Indonesian Ministry of Environment and Forestry. The developed framework includes five main dimensions: Information Technology, Operational Infrastructure, Governance, Economy, and Social–Culture. It also addresses stakeholder engagement to support smart household waste management systems and identifies waste management processes based on the ISWM framework. This research uses the PRISMA technique to provide an initial framework for smart and integrated household waste management system. The proposed framework has been validated and can be further developed as a smart and integrated household waste management system. Additionally, it highlights the involvement of various dimensions identified to address waste problems.
Mobile Government Use and Crisis Management: The Moderating Role of Techno-Skepticism
Authors: Gürler Sabahat , Cavusoglu Behiye , Ozdamli Fezile , Mousa Kawar Mohammed , Baykan Hüseyin
Published: June 2024

Providing user confidence in mobile government services (MGS) is essential for the success of mobile government. This study aimed to test the moderating role of techno-skepticism in the impact of crisis management on mobile government. Due to several inadequacies, citizens seem to respond negatively to the use of certain public technological services, leading them to develop a perspective of techno-skepticism. This issue has been cited in numerous scholarly studies as a critical component in the effective implementation of technological innovations. The effectiveness of digital technology in the procurement of public services is highly dependent on the perceptions and behaviors of its users. In this context, this study measured the attitudes of the participants and the connections between techno-skepticism, mobile government use, and crisis management among Northern Cyprus residents over 18 years old. The study employed a quantitative approach. A five-point Likert scale was used to collect data by modifying the survey questions to fit the scope of the study. The study participants were selected using the random sampling method to acquire data from a total of 402 citizens. The study findings revealed that techno-skepticism mediates the impact of crisis management on mobile government. As a result, techno-skepticism is a critical and decisive factor in citizens’ mobile government use, affecting its utilization frequency. Techno-skepticism was also found to play a vital role in mobile government use. The current study represents a pioneering effort in testing the moderating role of techno-skepticism in the impact of crisis management on mobile government. It also provides various contributions to theory and practice, particularly in the fields of mobile government and the use of digital technologies.
Analysis of the Effect of Outdoor Thermal Comfort on Construction Accidents by Subcontractor Types
Authors: Song Minwoo , Jeong Jaewook , Kumi Louis , Mun Hyeongjun
Published: June 2024

The impact of climate on construction site safety varies significantly depending on subcontractor types due to the diverse nature of workplaces and work methods. This study introduces a novel approach by categorizing construction work according to subcontractor types and assessing accident risk probabilistically through the Physiologically Equivalent Temperature (PET), an outdoor thermal comfort index. Additionally, a Hidden Markov Model (HMM)-based clustering methodology was proposed to classify new groups using PET and accident probability. This study proceeded in the following sequence: (i) collection and classification of data, (ii) PET calculation, (iii) calculation of accident probability, and (iv) clustering and Pearson correlation coefficient analysis. As a result of clustering, each group was classified according to the workplace. Groups 2 and 3 demonstrated a strong positive correlation between accident probability and PET, with correlation coefficients of 0.837 and 0.772, while Group 1 exhibited a moderately positive correlation of 0.474. This study quantitatively evaluated the impact of climate on workers for each subcontractor type using PET, an outdoor thermal comfort index for construction work, and accident probability, resulting in the identification of new groups. The findings of this study may serve as novel benchmarks for safety management in construction worker safety based on PET.
Review of Municipal Organic Waste Management in Uttar Pradesh State, India
Authors: Jalalipour Haniyeh , Narra Satyanarayana , Ekanthalu Vicky Shettigondahalli , Antwi Edward , Ranjan Alok , Kaur Supreet , Nagar Bharat Bhushan , Markart Sebastian , Seneviratne Thilanka , Singh Vidhi , Narra Mona Maria , Nelles Michael
Published: June 2024

Organic waste is the main fraction of municipal solid waste in most developing countries. Despite various efforts, municipalities often fail to properly handle generated waste due to poor source segregation, inefficient collection system, insufficient financial resources, and a lack of proper treatment and disposal facilities. In India, organic waste mainly ends up in open dumpsites. The Government of India launched the Swachh Bharat Mission and enacted legislation to improve solid waste management. This notwithstanding, the most populous state of the country, Uttar Pradesh (UP), faces serious challenges in terms of achieving the national environmental policy goals. This study attempts to assess organic management practices in UP by analyzing the existing situation. The study reviewed the legal and financial frameworks governing the waste sector, the responsibility of stakeholders, waste segregation and collection mechanisms in place, and treatment and disposal methods. The identified gaps were analyzed to provide recommendations for the local conditions. The study recommends the control of incoming materials in centralized facilities compost facilities to enhance compost quality and enhance the management of organic waste via source segregation, animal feeding, and treatment in a decentralized manner.
Technical, Economic, and Environmental Sustainability Assessment of Reclaimed Asphalt and Waste Polyethylene Terephthalate Pavements
Authors: Sajid Zeerak Waryam , Hussian Arshad , Khan Muhammad Umer Amin , Alqahtani Fahad K. , Ullah Fahim
Published: June 2024

In the era of the global drive for sustainability in line with the United Nations Sustainable Development Goals (UN SDGs), sustainability measures are encouraged to be taken at all levels. This study explores a novel mix design integrating Reclaimed Asphalt (RAP) with waste Polyethylene Terephthalate (PET) to enhance pavement performance and sustainability. It adopts a holistic approach by investigating the technical, economic, and environmental aspects of the proposed mix to assess its sustainability. Industry experts emphasize the necessity of mitigating the resource intensiveness of pavement construction to foster sustainable infrastructure. RAP enables resource-efficient pavement construction by promoting asphalt recycling. However, increasing RAP quantity in the mix compromises asphalt structural stability, making it more susceptible to moisture damage and rutting. In this study, PET-modified Bitumen (PMB) is incorporated in higher RAP quantities in the asphaltic mix without compromising asphalt’s structural performance and durability. Various PMB amounts (2% to 10% by mass of mixture) were tested with 40% RAP (by mass of mixture), evaluating performance in terms of moisture damage, Marshall stability, rutting, etc. Optimal results were achieved with 6% PET and 40% RAP, showing a 7%, 57%, and 23% improvement in moisture resistance, rutting resistance, and Marshall stability, respectively, compared to unmodified asphalt (technical aspects). The novel asphalt mix demonstrated a 17% reduction in material cost (economic aspect) and a 53% decrease in CO2 emissions (environmental aspect) using Building Information Modeling (BIM). This study devises a prospective solution for the construction of resilient, resource-efficient, cost-effective, environmentally friendly, and sustainable pavements in line with UN SDGs and circular economy goals.
Analysis of Greywater Recovery Systems in European Single-Family Buildings: Economic and Environmental Impacts
Authors: Rajski Krzysztof , Englart Sebastian , Sohani Ali
Published: June 2024

This study explores the integration of greywater recovery systems (GRSs) within single-family buildings across European countries. The analysis evaluates the impacts of these systems from multiple perspectives: potable water conservation, economic feasibility, energy consumption, and environmental impact. Employing life cycle cost (LCC) and net present value (NPV) analyses, the research assesses the economic viability of these systems compared to standard water installations. Positive NPV is observed in countries such as Belgium, Germany, Denmark, Finland, and Norway, according to the base scenario. Additionally, the implementation of subsidies can enhance economic incentives for adopting GRSs by reducing the payback period (PBP). Significant findings include reductions in potable water demand by up to 43.0%, and energy savings of up to 42.6% are also observed with the use of GRSs. Additionally, notably lower carbon dioxide emissions (CDEs) were reported, with reductions being directly proportional to the decreases in energy use. This holistic approach aims to establish frameworks for decision-making processes, emphasizing that economic and environmental aspects are mutually complementary and significant.
The Interconnection between Climate Cycles and Geohazards in Urban Areas of the Tourist Island of Mallorca, Spain
Authors: Luque-Espinar Juan A. , Mateos Rosa M. , Sarro Roberto , Reyes-Carmona Cristina , Martínez-Corbella Mónica
Published: June 2024

The island of Mallorca has experienced major interventions and transformations of the territory, with unprecedented urban development related to growing tourism activity. In this paper, we present a spatio-temporal analysis—by using spectral analysis techniques—of climate cycles on the island of Mallorca (Spain) and their correlation with the occurrences of landslides and flash floods. Both geohazards are closely related to wet periods, which are controlled by different, well-known natural cycles: ENSO, the NAO, sunspot, etc. Geostatistical methods are used to map the distribution of rainfall, as well as a spatial representation of the spectral confidence of the different natural cycles, to define the hazardous areas on the island. The cycles with the greatest influence on rainfall in Mallorca are El Niño–Southern Oscillation (ENSO) (5.6 y and 3.5 y), the North Atlantic Oscillation (NAO) (7.5 y), and Quasi-Biennial Oscillation (QBO). Recorded events of both rockfalls and flash floods exhibit a strong correlation with the climate indices of QBO, ENSO, the NAO, and sunspot activity. This correlation is particularly pronounced with QBO, as this cycle has a higher frequency than the others, and QBO is observed as part of the other cycles in the form of increases and decreases during periods of higher ENSO, NAO, and sunspot values. However, the impact of flash floods is also significant in the southeast part of the island, despite its lower levels of rainfall. The most dangerous episodes are related to ENSO (6.4 y) and the NAO. The validation of the methodology employed is strengthened by incorporating information from the flash flood data, as it offers comprehensive coverage of the entire island, compared to the landslide database, which is confined to the Serra de Tramuntana region. The study reveals that the city of Palma and the municipality of Calvià, as well as the central and eastern urban areas of the island, are the most vulnerable regions to intense rainfall and its consequences.
Tracking Happiness in Times of COVID-19: A Bibliometric Exploration
Authors: Jigani Adina-Iuliana , Delcea Camelia , Florescu Margareta-Stela , Cotfas Liviu-Adrian
Published: June 2024

The interest of the research community in happiness and its associated issues has been steadily growing over the years, including during the period marked by the COVID-19 pandemic. The pandemic has brought about significant changes in various aspects of people’s lives. In this study, the objective is to analyze the themes and the most significant trends in papers dedicated to happiness in the context of COVID-19 during the period following the onset of the pandemic. To achieve this, the authors have compiled a dataset of papers sourced from Clarivate Analytics’ Web of Science Core Collection database, which were extracted using keywords related to both happiness and COVID-19. This database comprises 1932 articles. The researchers have conducted a comprehensive bibliometric analysis of this dataset, providing insights into the most prolific authors in this field, the most frequently cited documents, and the preferred journals for publishing this research. The authors also explore details related to collaboration networks and author clusters. An n-gram analysis is performed on titles, abstracts, keywords, and keywords plus, offering a deeper understanding of the primary research themes. Furthermore, the contributors present a review of the top 10 most cited papers, which completes the analysis and underscores the research trends related to happiness in the context of COVID-19.
A Systematic Review of Outdoor Thermal Comfort Studies for the Urban (Re)Design of City Squares
Authors: Mandić Lazar , Đjukić Aleksandra , Marić Jelena , Mitrović Biserka
Published: June 2024

In the upcoming period, city squares’ urban redesign will be crucial in achieving sustainable development goals. This study presents a systematic review of OTC-related studies for the urban design of city squares using the PRISMA 2020 methodology. A review included a total of 173 papers from 2001 to 2023. The results identified five study types—clusters based on four pre-defined criteria: study approach, data collection methods, time duration, and primary objectives. The clusters indicate that more than half of all studies are related to the comparison of thermal comfort and heat mitigation measures. Most of the case studies were located in one of three climate zones: temperate oceanic (Cfb) (58 studies), hot summer Mediterranean (Csa) (40 studies), or humid subtropical (Cfa) (28 studies). The most common geometry of the analyzed urban square is medium-sized, is rectangular, and has dominant axel orientation south–north. Also, based on all five clusters, several research gaps were identified, appropriate for future research: the majority of studies related to the traditionally considered climate areas, no typology of urban square geometry configuration based on OTC assessment, and the lack of a local design model for assessing and improving the thermal comfort of city squares.
Intelligent Detection of Tunnel Leakage Based on Improved Mask R-CNN
Authors: Wang Wenkai , Xu Xiangyang , Yang Hao
Published: June 2024

The instance segmentation model based on deep learning has addressed the challenges in intelligently detecting water leakage in shield tunneling. Due to the limited generalization ability of the baseline model, occurrences of missed detections, false detections, and repeated detections are encountered during the actual detection of tunnel water leakage. This paper adopts Mask R-CNN as the baseline model and introduces a mask cascade strategy to enhance the quality of positive samples. Additionally, the backbone network in the model is replaced with RegNetX to enlarge the model’s receptive field, and MDConv is introduced to enhance the model’s feature extraction capability in the edge receptive field region. Building upon these improvements, the proposed model is named Cascade-MRegNetX. The backbone network MRegNetX features a symmetrical block structure, which, when combined with deformable convolutions, greatly assists in extracting edge features from corresponding regions. During the dataset preprocessing stage, we augment the dataset through image rotation and classification, thereby improving both the quality and quantity of samples. Finally, by leveraging pre-trained models through transfer learning, we enhance the robustness of the target model. This model can effectively extract features from water leakage areas of different scales or deformations. Through instance segmentation experiments conducted on a dataset comprising 766 images of tunnel water leakage, the experimental results demonstrate that the improved model achieves higher precision in tunnel water leakage mask detection. Through these enhancements, the detection effectiveness, feature extraction capability, and generalization ability of the baseline model are improved. The improved Cascade-MRegNetX model achieves respective improvements of 7.7%, 2.8%, and 10.4% in terms of AP, AP0.5, and AP0.75 compared to the existing Cascade Mask R-CNN model.
The Influence of Low-Frequency Oscillations on Trailing-Edge Tonal Noise with Symmetry Spanwise Source Regions
Authors: Song Zhangchen , Liu Peiqing , Guo Hao , Sun Yifeng , Jiang Shujie
Published: June 2024

For noise reduction at a low-to-moderate Reynolds number, airfoil trailing-edge tonal noise has multiple prominent tones. Among these tones, secondary tones are greatly influenced by external disturbances such as oscillations commonly in the environment. In previous experiments, the spatial movement of sources was found to be related to an inherent high-frequency oscillation. Therefore, the spatial influence of external low-frequency oscillations was investigated in this study. By using tripping tapes to construct different symmetry source regions on the pressure side with side secondary tones, a transient spatial analysis of an NACA0012 airfoil at 2 degrees was performed by microphone arrays when a 10 Hz pressure oscillation was significant at 24 m/s. Temporally, this 10 Hz periodic strength change became more intense at a broader frequency bandwidth for a longer source region. Furthermore, a substantial time delay, significantly larger than the sound propagating time difference between microphones, was observed exclusively along the spanwise direction. This delay led to a periodic directivity pattern, particularly when two 0.2 m source regions were separated by a 0.2 m or 0.4 m tripping region. This low-frequency oscillation introduces an asymmetric transient switching pattern for symmetric spanwise source regions. Consequently, the response of airfoils to external oscillations in field tests should be considered.
Results for Analytic Function Associated with Briot–Bouquet Differential Subordinations and Linear Fractional Integral Operators
Authors: Amini Ebrahim , Salameh Wael , Al-Omari Shrideh , Zureigat Hamzeh
Published: June 2024

In this paper, we present a new class of linear fractional differential operators that are based on classical Gaussian hypergeometric functions. Then, we utilize the new operators and the concept of differential subordination to construct a convex set of analytic functions. Moreover, through an examination of a certain operator, we establish several notable results related to differential subordination. In addition, we derive inclusion relation results by employing Briot–Bouquet differential subordinations. We also introduce a perspective study for developing subordination results using Gaussian hypergeometric functions and provide certain properties for further research in complex dynamical systems.
Identification and Analysis of Biomarkers Associated with Lipophagy and Therapeutic Agents for COVID-19
Authors: Wu Yujia , Wu Zhenlin , Jin Qiying , Liu Jinyuan , Xu Peiping
Published: June 2024

Background: Lipids, as a fundamental cell component, play an regulating role in controlling the different cellular biological processes involved in viral infections. A notable feature of coronavirus disease 2019 (COVID-19) is impaired lipid metabolism. The function of lipophagy-related genes in COVID-19 is unknown. The present study aimed to investigate biomarkers and drug targets associated with lipophagy and lipophagy-based therapeutic agents for COVID-19 through bioinformatics analysis. Methods: Lipophagy-related biomarkers for COVID-19 were identified using machine learning algorithms such as random forest, Support Vector Machine-Recursive Feature Elimination, Generalized Linear Model, and Extreme Gradient Boosting in three COVID-19-associated GEO datasets: scRNA-seq (GSE145926) and bulk RNA-seq (GSE183533 and GSE190496). The cMAP database was searched for potential COVID-19 medications. Results: The lipophagy pathway was downregulated, and the lipid droplet formation pathway was upregulated, resulting in impaired lipid metabolism. Seven lipophagy-related genes, including ACADVL, HYOU1, DAP, AUP1, PRXAB2, LSS, and PLIN2, were used as biomarkers and drug targets for COVID-19. Moreover, lipophagy may play a role in COVID-19 pathogenesis. As prospective drugs for treating COVID-19, seven potential downregulators (phenoxybenzamine, helveticoside, lanatoside C, geldanamycin, loperamide, pioglitazone, and trichostatin A) were discovered. These medication candidates showed remarkable binding energies against the seven biomarkers. Conclusions: The lipophagy-related genes ACADVL, HYOU1, DAP, AUP1, PRXAB2, LSS, and PLIN2 can be used as biomarkers and drug targets for COVID-19. Seven potential downregulators of these seven biomarkers may have therapeutic effects for treating COVID-19.
Disease Severity and Cytokine Expression in the Rhinovirus-Induced First Wheezing Episode
Authors: Hurme Pekka , Kähkönen Miisa , Rückert Beate , Vahlberg Tero , Turunen Riitta , Vuorinen Tytti , Akdis Mübeccel , Akdis Cezmi A. , Jartti Tuomas
Published: June 2024

Wheezing children infected with rhinovirus (RV) have a markedly increased risk of subsequently developing recurrencies and asthma. No previous studies have assessed the association between cytokine response and the severity of acute illness in the first wheezing episode in children infected with RV. Forty-seven children treated both as inpatients and as outpatients infected with RV only, aged 3–23 months, with severe first wheezing episodes were recruited. During acute illness, peripheral blood mononuclear cells (PBMCs) were isolated and stimulated with anti-CD3/anti-CD28 in vitro. A multiplex ELISA was used to quantitatively identify 56 different cytokines. The mean age of the children was 17 months, 74% were males, 79% were hospitalized, and 33% were sensitized. In adjusted analyses, the inpatient group was characterized by decreased expressions of interferon gamma (IFN-γ), interleukin 10 (IL-10), macrophage inflammatory protein 1 alpha (MIP-1α), RANTES (CCL5), and tumor necrosis factor-alpha (TNF-α) and an increased expression of ENA-78 (CXCL5) compared to the outpatient group. The cytokine response profiles from the PBMCs were different between the inpatient and outpatient groups. Our results support that firmly controlled interplay between pro-inflammatory and anti-inflammatory responses are required during acute viral infection to absolve the initial infection leading, to less severe illness.
Epidemiological Characteristics and Genotypic Features of Rotavirus and Norovirus in Jining City, 2021–2022
Authors: Wu Changjing , Fu Zhongyan , Xie Cuihua , Zhao Jian , He Feifei , Jiao Boyan , Jiao Baihai
Published: June 2024

Diarrhea, often caused by viruses like rotavirus (RV) and norovirus (NV), is a global health concern. This study focuses on RV and NV in Jining City from 2021 to 2022. Between 2021 and 2022, a total of 1052 diarrhea samples were collected. Real-Time Quantitative Fluorescent Reverse Transcriptase-PCR was used to detect RV-A, NV GI, and NV GII. For RV-A-positive samples, VP7 and VP4 genes were sequenced for genotype analysis, followed by the construction of evolutionary trees. Likewise, for NV-GII-positive samples, VP1 and RdRp genes were sequenced for genotypic analysis, and evolutionary trees were subsequently constructed. Between 2021 and 2022, Jining City showed varying detection ratios: RV-A alone (excluding co-infection of RV-A and NV GII) at 7.03%, NV GI at 0.10%, NV GII alone (excluding co-infection of RV-A and NV GII) at 5.42%, and co-infection of RV-A and NV GII at 1.14%. The highest RV-A ratios were shown in children ≤1 year and 2–5 years. Jining, Jinxiang County, and Liangshan County had notably high RV-A ratios at 24.37% (excluding co-infection of RV-A and NV GII) and 18.33% (excluding co-infection of RV-A and NV GII), respectively. Jining, Qufu, and Weishan had no RV-A positives. Weishan showed the highest NV GII ratios at 35.48% (excluding co-infection of RV-A and NV GII). Genotype analysis showed that, in 2021, G9P[8] and G2P[4] were dominant at 94.44% and 5.56%, respectively. In 2022, G8P[8], G9P[8], and G1P[8] were prominent at 75.86%, 13.79%, and 10.35%, respectively. In 2021, GII.3[P12], GII.4[P16], and GII.4[P31] constituted 71.42%, 14.29%, and 14.29%, respectively. In 2022, GII.3[P12] and GII.4[P16] accounted for 55.00% and 45.00%, respectively. RV-A and NV showed varying patterns for different time frames, age groups, and regions within Jining. Genotypic shifts were also observed in prevalent RV-A and NV GII strains in Jining City from 2021 to 2022. Ongoing monitoring of RV-A and NV is recommended for effective prevention and control.
Comment on Shah et al. Genetic Characteristics and Phylogeographic Dynamics of Lagoviruses, 1988–2021. Viruses 2023, 15, 815
Authors: Abrantes Joana , Bertagnoli Stéphane , Cavadini Patrizia , Esteves Pedro J. , Gavier-Widén Dolores , Hall Robyn N. , Lavazza Antonio , Le Gall-Reculé Ghislaine , Mahar Jackie E. , Marchandeau Stéphane , Lopes Ana M.
Published: June 2024

Shah and colleagues [...]
Reply to Abrantes et al. Recombination-Based Perspectives on Lagovirus Classification, Phylogenetic Patterns, and Evolutionary Dynamics. Comment on “Shah et al. Genetic Characteristics and Phylogeographic Dynamics of Lagoviruses, 1988–2021. Viruses 2023, 15, 815”
Authors: Shah Pir Tariq , Xing Li
Published: June 2024

Recently, Abrantes et al [...]
Recombination of Porcine Reproductive and Respiratory Syndrome Virus: Features, Possible Mechanisms, and Future Directions
Authors: Cui Xing-Yang , Xia Da-Song , Luo Ling-Zhi , An Tong-Qing
Published: June 2024

Recombination is a pervasive phenomenon in RNA viruses and an important strategy for accelerating the evolution of RNA virus populations. Recombination in the porcine reproductive and respiratory syndrome virus (PRRSV) was first reported in 1999, and many case reports have been published in recent years. In this review, all the existing reports on PRRSV recombination events were collected, and the genotypes, parental strains, and locations of the recombination breakpoints have been summarized and analyzed. The results showed that the recombination pattern constantly changes; whether inter- or intra-lineage recombination, the recombination hotspots vary in different recombination patterns. The virulence of recombinant PRRSVs was higher than that of the parental strains, and the emergence of virulence reversion was caused by recombination after using MLV vaccines. This could be attributed to the enhanced adaptability of recombinant PRRSV for entry and replication, facilitating their rapid propagation. The aim of this paper was to identify common features of recombinant PRRSV strains, reduce the recombination risk, and provide a foundation for future research into the mechanism of PRRSV recombination.
Recent Advances in Ball-Milled Materials and Their Applications for Adsorptive Removal of Aqueous Pollutants
Authors: Gao Pei , Fan Xuanhao , Sun Da , Zeng Guoming , Wang Quanfeng , Wang Qihui
Published: June 2024

Ball milling, as a cost-effective and eco-friendly approach, has been popular in materials synthesis to solve problems involving toxic reagents, high temperatures, or high pressure, which has the potential for large-scale production. However, there are few reviews specifically concentrating on the latest progress in materials characteristics before and after ball milling as well as the adsorptive application for aqueous pollutants. Hence, this paper summarized the principle and classification of ball milling and reviewed the advances of mechanochemical materials in categories as well as their adsorption performance of organic and inorganic pollutants. Ball milling has the capacity to change materials’ crystal structure, specific surface areas, pore volumes, and particle sizes and even promote grafting reactions to obtain functional groups to surfaces. This improved the adsorption amount, changed the equilibrium time, and strengthened the adsorption force for contaminants. Most studies showed that the Langmuir model and pseudo-second-order model fitted experimental data well. The regeneration methods include ball milling and thermal and solvent methods. The potential future developments in this field were also proposed. This work tries to review the latest advances in ball-milled materials and their application for pollutant adsorption and provides a comprehensive understanding of the physicochemical properties of materials before and after ball milling, as well as their effects on pollutants’ adsorption behavior. This is conducive to laying a foundation for further research on water decontamination by ball-milled materials.
An Extensive Analysis of Combined Processes for Landfill Leachate Treatment
Authors: Jamrah Ahmad , AL-Zghoul Tharaa M. , Al-Qodah Zakaria
Published: June 2024

Sanitary landfilling is the predominant process for solid urban waste disposal, but it generates leachate that poses environmental, economic, and social concerns. Landfill leachate (LL) contains complex and refractory pollutants and toxic compounds that can vary depending on landfill maturity, age, and biochemical reactions, making its treatment challenging. Due to its unique characteristics and occurrence in remote locations, LL requires separate treatment from wastewater. Various conventional treatment processes involving biological, chemical, and physical processes have been used for LL treatment, but a single treatment process is insufficient to meet environmental standards. This review demonstrates that combined treatment processes are more effective and efficient for LL treatment compared to single processes. Among the various combinations, chemical–chemical and chemical–biological treatments are the most commonly used. Specifically, the integration of Fenton with adsorption and a membrane bioreactor (MBR) with nanofiltration (NF) processes shows promising results. The combined processes of MBR with NF, Fenton with adsorption, and PF with biological treatment show maximum removal efficiencies for COD, reaching 99 ± 1%, 99%, 98%, and 97%, respectively. Additionally, the combined Fenton with adsorption process and EC with SPF process enhance biodegradability as indicated by increased BOD5/COD ratios, from 0.084 to 0.82 and 0.35 to 0.75, respectively. The findings emphasize the importance of developing and implementing enhanced combined treatment processes for LL, with the aim of achieving efficient and comprehensive pollutant mineralization. Such processes have the potential to address the environmental concerns associated with LL and contribute to sustainable waste management practices.
Variations in Greenhouse Gas Fluxes at the Water–Gas Interface in the Three Gorges Reservoir Caused by Hydrologic Management: Implications for Carbon Cycling
Authors: Wei Xing , Liu Mingliang , Pan Hongzhong , Yao Huaming , Ren Yufeng
Published: June 2024

The Three Gorges Project is the largest hydraulic hub project in the world, and its hydrological management has altered the hydrological environment of the reservoir area, affecting the carbon emission and absorption of the reservoir water. In this study, representative hydrological stations in the Three Gorges Reservoir area were selected as research sites to monitor the CO2 and CH4 fluxes of the reservoir water and nine environmental factors during the drainage and impoundment periods in 2022. The study aimed to explore the mechanisms of hydrological management and environmental factors on greenhouse gas emissions. The results showed that the mean CO2 fluxes of the reservoir water during the drainage and impoundment periods were (103.82 ± 284.86) mmol·m−2·d−1 and (134.39 ± 62.41) mmol·m−2·d−1, respectively, while the mean CH4 fluxes were (1.013 ± 0.58) mmol·m−2·d−1 and (0.571 ± 0.70) mmol·m−2·d−1, respectively, indicating an overall “carbon source” characteristic. Through the evaluation of the characteristic importance of environmental factors, it was found that the main controlling factors of CO2 flux during the drainage period were total phosphorus (TP) and chlorophyll a (Chl_a), while total nitrogen (TN) was the main controlling factor during the impoundment period. Dissolved organic carbon (DOC) was the main controlling factor of CH4 flux during the different periods. Based on these findings, a “source-sink” mechanism of CO2 and CH4 in the Three Gorges Reservoir water under reservoir regulation was proposed. This study is of great significance for revealing the impact of reservoir construction on global ecosystem carbon cycling and providing scientific support for formulating “emission reduction and carbon sequestration” plans and achieving “dual carbon” goals.
The strategy for the rational use of agricultural land and the features of implementation In the regions of Russia
Authors:   Academy of Sciences, Khlystun V.N. ,   State University of Land Use Planning, Moscow, Alakoz V.V. ,   Federal State Budgetary Institution Federal Scientific Center VNIIESKh, Moscow
Published: June 2024

The negative consequences of problems in organizing the rational use and protection of agricultural lands create significant risks for ensuring the country’s food security and preserving land potential for future generations of Russian people. The article presents the results of the analysis of the state and directions in the development of land use, identifies the most critical trends, proposed strategic decisions and tools for the formation an effective land management system. The paper also substantiates the need to develop and implement a document defining the essence and content of the state’s land policy.
Monitoring of unused agricultural lands by example of Askinsky district in the Republic of Bashkortostan
Authors:   Real Estate Cadastre and Geodesy Department, Bashkir State Agrarian University, Ufa, Ishbulatov M. G. , Mindibaev R. A. ,   Real Estate Cadastre and Geodesy Department, Bashkir State Agrarian University, Ufa, Baykov A. G. ,   Real Estate Cadastre and Geodesy Department, Bashkir State Agrarian University, Ufa, Miftakhov I. R. ,   Bashkir State Agrarian University, Ufa
Published: June 2024

The article analyzes data on use of agricultural lands in Askinsky district, and presents the results of field surveys of condition of agricultural lands, as well as evaluates the quality indicators of unused lands.