bluuebunny/crossref_metadata_2025 huggingface dataset:
A Crowd Movement Analysis Method Based on Radar Particle Flow
Authors: Zhang Li , Cao Lin , Zhao Zongmin , Wang Dongfeng , Fu Chong
Published: March 2024

Crowd movement analysis (CMA) is a key technology in the field of public safety. This technology provides reference for identifying potential hazards in public places by analyzing crowd aggregation and dispersion behavior. Traditional video processing techniques are susceptible to factors such as environmental lighting and depth of field when analyzing crowd movements, so cannot accurately locate the source of events. Radar, on the other hand, offers all-weather distance and angle measurements, effectively compensating for the shortcomings of video surveillance. This paper proposes a crowd motion analysis method based on radar particle flow (RPF). Firstly, radar particle flow is extracted from adjacent frames of millimeter-wave radar point sets by utilizing the optical flow method. Then, a new concept of micro-source is defined to describe whether any two RPF vectors originated from or reach the same location. Finally, in each local area, the internal micro-sources are counted to form a local diffusion potential, which characterizes the movement state of the crowd. The proposed algorithm is validated in real scenarios. By analyzing and processing radar data on aggregation, dispersion, and normal movements, the algorithm is able to effectively identify these movements with an accuracy rate of no less than 88%.
A Comparative Approach Study on the Thermal and Calorimetric Analysis of Fire-Extinguishing Powders
Authors: Huang An-Chi , Cao Fang-Chao , Ma Xin-Yue
Published: March 2024

This study offers a comprehensive evaluation of the effectiveness of expansible graphite (EG) and potassium bicarbonate (KHCO3) in suppressing metal fires, which are known for their high intensity and resistance. Our assessment, utilizing thermogravimetric analysis (TGA), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and scanning electron microscopy (SEM), revealed that compositions of EG–KHCO3 can endure temperatures of up to 350 °C, indicating their thermal resilience. The 3:1 EG–KHCO3 mixture demonstrated exceptional performance in fire suppression tests by extinguishing sodium flames in a mere 20 s, using approximately 50 g of the agent. This highlights a substantial improvement in efficiency. In addition, FTIR analysis identified important gaseous compounds released during decomposition, while XRD and SEM techniques confirmed the advantageous insertion of KHCO3 into the EG matrix, enhancing its resistance to heat and chemical reactions. The mixture with a ratio of 3:1 also demonstrated a higher cooling rate of 2.34 °C/s within the temperature range of 350 to 200 °C. The results emphasize the potential of EG–KHCO3 compositions, specifically in a 3:1 ratio, for efficient fire management by integrating fire suppression, heat resistance, and quick cooling. Subsequent investigations will prioritize the evaluation of these compositions across different circumstances and the assessment of their environmental and industrial viability.
Beyond Words: Tapping the Potential of Digital Diaries While Exploring Young Adults’ Experiences on Apps
Authors: Alcaire Rita , Flores Ana Marta M. , Antunes Eduardo
Published: March 2024

In the dynamic landscape of online interactions, this article explores the use of digital diaries to unravel the intricacy of Portugal young adults’ experiences within the realm of apps and their connection to gender dynamics. By designing a digital participatory research method, we were able to reflect on the participants’ experiences in maintaining the requested diaries, scrutinize the major themes in the narratives generated through this approach, and examine how participants interacted with the prompts sent to them. Therefore, we delved into how participants both challenged and (re)negotiated these solicitations and how their agency led to an untapped reservoir of insights for the project in ways that went beyond words. There were visual and non-verbal elements that brought insights into young adults’ interactions with mobile applications, offering a comprehensive exploration of four key themes: mobile apps as part of young adults’ routines, between performance and authenticity, making the diaries their own, and elaborating on feelings. We also explored diary methods at the convergence of various disciplines and their high potential for contributing to topics related to gender, mental health, productivity, relationships, online identity management, apps in everyday life, intimacy, and more in creative ways.
Technology-Based Intimate Partner Violence Intervention Services for Generation Z Victims of Violence
Authors: Dasgupta Satarupa , Melvin Emily
Published: March 2024

The current article reviews the extant literature on technology’s role in service provision and advocacy for young adults who are victims of intimate partner violence (IPV). The article looks at preferences and patterns of access and utilization of digitally mediated communication among young adults to explore optimal IPV services and mitigation strategies for providing crisis counseling to this demographic and offering support over time. An understanding of technology’s role in support provision can help to design best practices and offer recommendations that can best serve the needs of Generation Z victims of violence.
Assessment Model for the Social Impact of Decommissioning Subsea Oil and Gas Systems
Authors: Rodrigues Leonardo Mangia , Tenório Fernando Guilherme , Pimentel Dilma Lúcia da Costa Silva , de Souza Marcelo Igor Lourenço , Marujo Lino Guimarães
Published: March 2024

The article aims to propose a social impact assessment model that can help operators in the oil and gas exploration and production sector to evaluate the social impacts in the onshore and offshore dimensions of the decommissioning of subsea oil and gas production systems. Based on the technical characteristics of the operation, the literature review and the workshops held with interested parties, the conceptual model was developed. The model includes 2 dimensions: (i) onshore, which encompasses impacts on logistics and infrastructure and onshore employability, and (ii) offshore, which involves external context, restrictions on artisanal fishing, restrictions on tourist activities and offshore employability. The impacts in both dimensions result from the operationalization of decommissioning. The contribution of this study is to propose a social impact assessment model that takes into account the onshore and offshore dimensions of the offshore-based decommissioning process of submarine systems and to propose future research. The proposed model can support decision-making by companies and governments in the process of decommissioning submarine systems and can also help other types of offshore installations.
A Multi-Hazard Risk Assessment Model for a Road Network Based on Neural Networks and Fuzzy Comprehensive Evaluation
Authors: Zhou Changhong , Chen Mu , Chen Jiangtao , Chen Yu , Chen Wenwu
Published: March 2024

The frequency of extreme weather events has increased worldwide, leading to more intense natural disasters, which pose significant threats to human life and property safety. The main form of disaster occurrence is multi-hazard coupling and multi-hazard chaining. This paper constructs a road natural disaster risk assessment model using a fuzzy comprehensive evaluation method and neural network to quantitatively analyze road disasters with multiple hazards, and provides valuable insights for the predication of road natural disaster risk. Here, ten factors, including temperature, relative humidity, precipitation, elevation, slope, slope orientation, vegetation cover, geologic lithology, historical impact factors, and road density, were selected as input variables, and risk grade was selected as the output value (the evaluation results). The remaining hidden layers use the fully connected neural network. This model was first trained using historical data (from 2011 to 2021) obtained from road networks and natural disasters in Guangxi, China. Then, taking Lingchuan County as an example, the model was used to predict the risk of natural disasters on its roads, and, finally, the prediction accuracy of the model was determined by comparing the results with actual disaster situations. This study can provide theoretical support and technical operations for the development of subsequent early warning systems.
A Study on the Impact of Green Finance on the High-Quality Economic Development of Beijing–Tianjin–Hebei Region
Authors: Liu Lixia , Li Xiaofang
Published: March 2024

China’s economy has shifted to a new stage of high-quality development, which means that economic development is no longer simply pursuing the increase of quantity, but a balance of quality and quantity. High-quality economic development (HQED) has become essential for China to achieve sustainable economic and social advancement. This paper explores the influence of green finance on HQED, along with the mediating roles of green innovation and industrial structure upgrading. A fixed-effects model is employed to assess the relationship between green finance and HQED and conduct an empirical test in the Beijing–Tianjin–Hebei (BTH) region of China. The findings reveal that green finance significantly contributes to the HQED of the BTH region, and green innovation and industrial structure upgrading have intermediary effects in this process. Based on these insights, this paper proposes several strategies to improve HQED in China, including the development of a green financial system, the promotion of green innovation, and the acceleration of industrial structure optimization and upgrading in the BTH region.
Balancing Gains and Losses—A Research Note on Tradeoffs in the Case of Non-Alcoholic Wines in Germany
Authors: Schulz Frederik Nikolai , Kugel Alexander A. , Hanf Jon H.
Published: March 2024

Non-alcoholic alternatives are gaining growing significance within the German beverage sector. In this context, the German wine industry is increasingly focusing on non-alcoholic wines, whose market has developed dynamically in recent years. While the technologies used, the sensory characteristics and the marketing of the products are frequently addressed in the literature, the consideration of sustainability impacts has so far been largely neglected. This applies in particular to the view of all three dimensions of sustainability. These are examined more closely in this review with regard to tradeoffs, which indicate that positive aspects in one dimension go hand in hand with a loss in the other. It can be shown that tradeoffs in the production and marketing of non-alcoholic wines arise both within and between the three sustainability dimensions. Exemplary of this is the increased use of resources in the course of alcohol removal. At the same time, an emerging market segment holds positive aspects from an economic perspective. Ultimately, the consideration of social sustainability is marked by the health science and political debate around the reduction in alcohol consumption and the simultaneous increase in the consumption of non-alcoholic alternatives.
An Integrated Solution for Nuclear Power Plant On-Site Optimal Evacuation Path Planning Based on Atmospheric Dispersion and Dose Model
Authors: Ren Yushuo , Zhang Guoming , Zheng Jianxiang , Miao Huifang
Published: March 2024

Safety in nuclear energy utilization is crucial. In the event of a radioactive release incident, coupled with meteorological uncertainties, a radioactive plume can impact personnel evacuation. This paper presents an integrated solution for radionuclide release accident assessment and emergency evacuation decision making. The solution consists of three processes: atmospheric dispersion calculation, dose calculation, and path planning. The individual processes are connected through data exchange, thus allowing users to choose specific models based on experience. The proposed scheme combination is the Gaussian plume model, the dose conversion factor method, and an improved Dijkstra’s path planning algorithm. This algorithm, combined with dispersion and dose results, weighs nodes using the moving expected dose, facilitating the path with minimum dose risk. A program for Atmospheric Diffusion and Dose Calculation (ADDC) is developed based on the recommended scheme. Advantages include ease of use, minimal data requirements, data accessibility, and efficient evacuation. Dose estimates and optimal evacuation routes can be obtained quickly and at very low cost in response to rapidly changing environmental conditions. In a case study at a Chinese planned nuclear plant, we consider a spent fuel pool water loss scenario, assessing dose risks from 2020 to 2022 meteorological statistics. In dose calculation, results reveal that during an SFP drying accident, the radiation dose in the core area (100 m away) can reach 30–150 mSv within 2 h, and at 500 m away, it can reach 5–15 mSv. The dose in all downwind directions can drop below 250 mSv within 60 m. In path planning, results reveal the program is capable of accurately and efficiently calculating the minimum dose evacuation route. The program’s path reduces the effective dose by up to 67.3% compared to the shortest route, enhancino safety, and guiding post-accident decision making and planning.
Review of Existing Tools for the Assessment of European Building Stock Energy Demand for Space Heating and Cooling
Authors: Bottino-Leone Dario , Balest Jessica , Cittati Valentina Miriam , Pezzutto Simon , Fraboni Riccardo , Beltrami Filippo
Published: March 2024

There is currently a growing interest in lowering energy demand and, consequently, greenhouse gas emissions in all sectors. Several attempts by national governments to reduce energy demand are centered on the residential sector, since it accounts for a significant amount of the final energy demand. In order to estimate its energy demand and to evaluate the techno-economic effects of adopting energy efficiency and renewable energy technologies, there are comprehensive models suited for residential applications, since energy demand characteristics of the residential sector are complicated and interrelated. Based on these models, several tools are nowadays available to support designers and policymakers. These tools are designed to be user-friendly and to include the possibility to develop simulated scenarios for energy demand, production of CO2 emissions, and economic costs. The present study aims to offer an up-to-date extended overview of the most functional and widespread tools for the assessment of the current energy demand of the European building stock for space heating and cooling demand, both regarding open source and commercial licenses. Results highlighted the tools most commonly used by examining real applications, identifying their strengths and weaknesses and pinpointing the primary deficiencies for the benefit of future developers.
Does Digital Capabilities Foster Social Innovation Performance in Social Enterprises? Mediation by Firm-Level Entrepreneurial Orientation
Authors: Satar Mir Shahid , Alharthi Sager , Alarifi Ghadah , Omeish Fandi
Published: March 2024

Social innovation as an outcome of social entrepreneurship represents the primary drive of social enterprises (SEs). In the emergent context of a digitally transforming entrepreneurship scenario, this study intends to investigate the role of digital capabilities (DC) in social innovation performance (SIP) in SEs while considering the underlying effects of a firm-level entrepreneurial orientation (EO). Utilizing a quantitative survey approach, the study acquired a total of 344 valid responses from SEs in Saudi Arabia. The data analysis performed through partial least square structural equation modeling (SmartPLS 3.0) revealed that DC have no direct impact on SIP in SEs. However, DC influence SIP through the full mediation effects of EO dimensions of social proactiveness, and social innovativeness. The mediation effects of social risk-taking on the DC-SIP relationship were not established. This work is the first to conceptualize and test a theoretical framework linking the DC and EO constructs concerning SIP in SEs. As a result, the study produces several academic and managerial implications underpinning social innovation amid the digitally transforming entrepreneurship context in SEs.
Application of Macro X-ray Fluorescence Fast Mapping to Thickness Estimation of Layered Pigments
Authors: Zito Riccardo , Bonizzoni Letizia , Ludwig Nicola
Published: March 2024

Even though X-ray fluorescence (XRF) is strictly an atomic method, this technique has been developed mostly at research centers for nuclear physics. One of its most valuable variations is the mapping mode that allows it to shift XRF from a punctual to an image technique. Macro X-ray Fluorescence (MA-XRF) is a widespread analytical technique applied in cultural heritage for characterizing the elemental composition of pigments with a non-destructive, rapid and green approach. When dealing with cultural heritage materials, the sustainability of the applied techniques is directly linked to the limited impact on the work of art. MA-XRF can reveal hidden sub-surface layers or restorations, but, nonetheless, it is hardly adopted for estimating the thickness of layers without resorting to complex Monte Carlo simulations or without combining information from other techniques. Exploiting the recurrent presence of lead white under pictorial layers in historical artworks, we perform a calibration on stand-alone layers produced ad hoc for the relative absorption of Pb L fluorescence lines, and then, their ratio is successfully used to estimate the thickness of azurite and ultramarine blue layers over lead white. The final result is rendered as a heatmap, easy to present to non-technical personnel frequently involved in the cultural heritage field. The new proposed procedure for calculating layer thickness extends the concept of non-invasive applications, paving the way to the possibility of performing stratigraphy without sampling.
Special Relativity in Terms of Hyperbolic Functions with Coupled Parameters in 3+1 Dimensions
Authors: Akintsov Nikolai S. , Nevecheria Artem P. , Kopytov Gennadii F. , Yang Yongjie , Cao Tun
Published: March 2024

This paper presents a method for parameterizing new Lorentz spacetime coordinates based on coupled parameters. The role of symmetry in rapidity in special relativity is explored, and invariance is obtained for new spacetime intervals with respect to the Lorentz transformation. Using the Euler–Hamilton equations, an additional angular rapidity and perpendicular rapidity are obtained, and the Hamiltonian and Lagrangian of a relativistic particle are expanded into rapidity spectra. A so-called passage to the limit is introduced that makes it possible to decompose physical quantities into spectra in terms of elementary functions when explicit decomposition is difficult. New rapidity-dependent Lorentz spacetime coordinates are obtained. The descriptions of particle motion using the old and new Lorentz spacetime coordinates as applied to plane laser pulses are compared in terms of the particle kinetic energy. Based on a classical model of particle motion in the field of a plane monochromatic electromagnetic wave and that of a plane laser pulse, rapidity-dependent spectral decompositions into elementary functions are presented, and the Euler–Hamilton equations are derived as rapidity functions in 3+1 dimensions. The new and old Lorentz spacetime coordinates are compared with the Fermi spacetime coordinates. The proper Lorentz groups SO(1,3) with coupled parameters using the old and new Lorentz spacetime coordinates are also compared. As a special case, the application of Lorentz spacetime coordinates to a relativistic hydrodynamic system with coupled parameters in 1+1 dimensions is demonstrated.
Improved Generative Adversarial Network for Bearing Fault Diagnosis with a Small Number of Data and Unbalanced Data
Authors: Qin Zhaohui , Huang Faguo , Pan Jiafang , Niu Junlin , Qin Haihua
Published: March 2024

Fault data under real operating conditions are often difficult to collect, making the number of trained fault data small and out of proportion to normal data. Thus, fault diagnosis symmetry (balance) is compromised. This will result in less effective fault diagnosis methods for cases with a small number of data and data imbalances (S&I). We present an innovative solution to overcome this problem, which is composed of two components: data augmentation and fault diagnosis. In the data augmentation section, the S&I dataset is supplemented with a deep convolutional generative adversarial network based on a gradient penalty and Wasserstein distance (WDCGAN-GP), which solve the problems of the generative adversarial network (GAN) being prone to model collapse and the gradient vanishing during the training time. The addition of self-attention allows for a better identification and generation of sample features. Finally, the addition of spectral normalization can stabilize the training of the model. In the fault diagnosis section, fault diagnosis is performed through a convolutional neural network with coordinate attention (CNN-CA). Our experiments conducted on two bearing fault datasets for comparison demonstrate that the proposed method surpasses other comparative approaches in terms of the quality of data augmentation and the accuracy of fault diagnosis. It effectively addresses S&I fault diagnosis challenges.
The Impact of the Digital Economy on Total-Factor Carbon Emission Efficiency in the Yellow River Basin from the Perspectives of Mediating and Moderating Roles
Authors: Nie Lei , Bao Xueli , Song Shunfeng , Wu Zhifang
Published: March 2024

China’s digital economy has been expanding rapidly in the past decade. This expansion is having a profound impact on the country’s economy. Using panel data on 97 prefecture-level cities in the Yellow River Basin from 2011 to 2020, this study investigates the multifaceted relationship between the digital economy and total-factor carbon emission efficiency. The research yields three key findings: (1) The digital economy positively enhances overall carbon emission efficiency. This conclusion is drawn with robustness tests. (2) Green technology innovation serves as a partial mediator between the digital economy and total-factor carbon emission efficiency, and this mediation role is influenced by government intervention, which negatively moderates the relationship between the digital economy and green technology innovation but positively impacts the mediation role of green technology innovation between the digital economy and total-factor carbon emission efficiency. (3) The positive impact of the digital economy on total-factor carbon emission efficiency is more significant in the upper reaches, lower reaches, and resource-based cities of the Yellow River Basin. These findings provide new perspectives and empirical evidence for better understanding the relationship between digital economy development and total-factor carbon emission efficiency. They also provide policy recommendations for achieving strategic objectives, including digital economy development, carbon emission reduction, carbon peaking, and carbon neutrality.
Data Science Supporting Lean Production: Evidence from Manufacturing Companies
Authors: Pozzi Rossella , Cannas Violetta Giada , Rossi Tommaso
Published: March 2024

Research in lean production has recently focused on linking lean production to Industry 4.0 by discussing the positive relationship between them. In the context of Industry 4.0, data science plays a fundamental role, and operations management research is dedicating particular attention to this field. However, the literature on the empirical implementation of data science to lean production is still under-investigated and details are lacking in most of the reported contributions. In this study, multiple case studies were conducted involving the Italian manufacturing sector to collect evidence of the application of data science to support lean production and to understand it. The results provide empirical proof of the link and examples of a variety of data science techniques and tools that can be combined to support lean production practices. The findings offer insights into the applications of the traditional lean plan–do–check–act cycle, supporting feedback on performance metrics, total productive maintenance, total quality management, statistical process control, root cause analysis for problem-solving, visual management, and Kaizen.
Differential Disruption of Glucose and Lipid Metabolism Induced by Phthalates in Human Hepatocytes and White Adipocytes
Authors: Tian Yaru , Xu Miao , Shang Hailin , You Lijuan , Yang Jing , Jia Xudong , Yang Hui , Wu Yongning , Yang Xingfen , Wan Yi
Published: March 2024

Phthalic acid esters (PAEs), commonly used as plasticizers, are pervasive in the environment, leading to widespread human exposure. The association between phthalate exposure and metabolic disorders has been increasingly recognized, yet the precise biological mechanisms are not well-defined. In this study, we explored the effects of monoethylhexyl phthalate (MEHP) and monocyclohexyl phthalate (MCHP) on glucose and lipid metabolism in human hepatocytes and adipocytes. In hepatocytes, MEHP and MCHP were observed to enhance lipid uptake and accumulation in a dose-responsive manner, along with upregulating genes involved in lipid biosynthesis. Transcriptomic analysis indicated a broader impact of MEHP on hepatic gene expression relative to MCHP, but MCHP particularly promoted the expression of the gluconeogenesis key enzymes G6PC and FBP1. In adipocytes, MEHP and MCHP both increased lipid droplet formation, mimicking the effects of the Peroxisome proliferator-activated receptor γ (PPARγ) agonist rosiglitazone (Rosi). Transcriptomic analysis revealed that MEHP predominantly altered fatty acid metabolism pathways in mature adipocytes (MA), whereas MCHP exhibited less impact. Metabolic perturbations from MEHP and MCHP demonstrate shared activation of the PPARs pathway in hepatocytes and adipocytes, but the cell-type discrepancy might be attributed to the differential expression of PPARγ. Our results indicate that MEHP and MCHP disrupt glucose and lipid homeostasis in human liver and adipose through mechanisms that involve the PPAR and adenosine monophosphate-activated protein kinase (AMPK) signaling pathways, highlighting the nuanced cellular responses to these environmental contaminants.
The Impact of Atmospheric Cadmium Exposure on Colon Cancer and the Invasiveness of Intestinal Stents in the Cancerous Colon
Authors: Zhang Shuai , Li Ruikang , Xu Jing , Liu Yan , Zhang Yanjie
Published: March 2024

Background: Inhalation exposure to carcinogenic metals such as cadmium (Cd) is a significant global health concern linked to various cancers. However, the precise carcinogenic mechanism underlying inhalation exposure remains elusive. Methods: In this study, CT26 mouse colon cancer (CC) cells were implanted into BALB/c mice to establish CC mouse models. Some of the CC mice were implanted with intestinal stents. The mice were exposed to atomized oxygen and nitrogen (O2/N2) gas containing Cd. Results: Atmospheric Cd intensified inflammation in CC cells and heightened Nicotinamide Adenine Dinucleotide Phosphate (NADPH) Oxidase 1 (NOX1) activity, which is an indirect measurement of increased reactive oxygen species (ROS) production. This escalated ROS production triggered abnormal Wnt protein secretion, activated the Wnt/β-catenin signaling pathway, and stimulated CC cell proliferation. No discernible body weight effect was seen in the CC mice, possibly due to the later-stage tumor weight gain, which masked the changes in body weight. Cd facilitated colon tumor restructuring and cell migration at the later stage. The implantation of intestinal stents inhibited the expression of Superoxide Dismutase 1 (SOD1) in the colon tumors of the CC mice, with no evident effects on the expression levels of NOX1, SOD2, and Catalase (CAT) enzymes. Elevated ROS levels, indirectly reflected by enzyme activity, did not substantially impact the Wnt/β-catenin signaling pathway and even contributed to slowing its imbalance. Stent implantation eased the inflammation occurring in colon tumors by reducing CC cell proliferation but it induced discomfort in the mice, leading to a reduction in food intake and weight. Conclusions: Cd partially fosters CC tumorigenesis via the ROS-mediated Wnt/β-catenin signaling pathway. The effect of Cd on the invasive effect of intestinal stents in the cancerous colon is not significant.
Mechanism of the Synergistic Toxicity of Ampicillin and Cefazoline on Selenastrum capricornutum
Authors: Huang Feng-Ling , Qin Li-Tang , Mo Ling-Yun , Zeng Hong-Hu , Liang Yan-Peng
Published: March 2024

Ampicillin (AMP) and cefazolin (CZO) are commonly used β-lactam antibiotics which are extensively globally produced. Additionally, AMP and CZO are known to have relatively high ecotoxicity. Notably, the mix of AMP and CZO creates a synergistic effect that is more harmful to the environment, and how exposure to AMP-CZO can induce synergism in algae remains virtually unknown. To yield comprehensive mechanistic insights into chemical toxicity, including dose–response relationships and variations in species sensitivity, the integration of multiple endpoints with de novo transcriptomics analyses were used in this study. We employed Selenastrum capricornutum to investigate its toxicological responses to AMP and CZO at various biological levels, with the aim of elucidating the underlying mechanisms. Our assessment of multiple endpoints revealed a significant growth inhibition in response to AMP at the relevant concentrations. This inhibition was associated with increased levels of reactive oxygen species (ROS) and perturbations in nitrogen metabolism, carbohydrate metabolism, and energy metabolism. Growth inhibition in the presence of CZO and the AMP-CZO combination was linked to reduced viability levels, elevated ROS production, decreased total soluble protein content, inhibited photosynthesis, and disruptions in the key signaling pathways related to starch and sucrose metabolism, ribosome function, amino acid biosynthesis, and the production of secondary metabolites. It was concluded from the physiological level that the synergistic effect of Chlorophyll a (Chla) and Superoxide dismutase (SOD) activity strengthened the growth inhibition of S. capricornutum in the AMP-CZO synergistic group. According to the results of transcriptomic analysis, the simultaneous down-regulation of LHCA4, LHCA1, LHCA5, and sodA destroyed the functions of the photosynthetic system and the antioxidant system, respectively. Such information is invaluable for environmental risk assessments. The results provided critical knowledge for a better understanding of the potential ecological impacts of these antibiotics on non-target organisms.
Integrated Assessment for the Estrogenic Effects of Pyrethroid Compounds: Defining the Molecular Initiating Events and Key Events for the Adverse Outcome Pathway
Authors: Ortiz Darlene Mae D. , Park Juyoung , Lee Handule , Park Kwangsik
Published: March 2024

Pyrethroids, which are derived from natural insecticides found in chrysanthemum flowers, are widely utilized in various sectors, including agriculture, forestry, horticulture, and personal insect protection. Due to their widespread use, concerns have arisen regarding their potential estrogenic effects on female reproductive health. This review aims to address data gaps and inconsistencies in previous studies by defining molecular initiating events and key events within the adverse outcome pathway associated with pyrethroid-induced estrogenic effects. To achieve this, we propose utilizing Integrated Approaches to Testing and Assessment (IATA), which incorporate in vitro assays and in vivo assessments to comprehensively investigate the estrogenic effects of pyrethroids. An initial search was conducted in the PubMed database to identify relevant articles. Subsequently, the findings were classified according to the IATA strategy. This review provides an overview of the current understanding of pyrethroids and their estrogenic effects, identifies data gaps, and highlights the use of IATA in existing studies on the estrogenic effects of various pyrethroids. It emphasizes the urgent need for comprehensive research on the estrogenic effects of pyrethroids and highlights the importance of standardized testing methods like IATA to accurately assess their impact on human and environmental health. By promoting the use of Integrated Testing Strategies (ITSs) and addressing data gaps, researchers and regulators can enhance the accuracy of assessments, ensuring better protection of human and environmental health from the potential estrogenic effects of pyrethroid exposure.
Immunochemical Recognition of Bothrops rhombeatus Venom by Two Polyvalent Antivenoms
Authors: Sarmiento Karen , Zambrano Jorge , Galvis Carlos , Molina-Olivares Álvaro , Villadiego-Molinares Marisol Margarita , Ramírez-Martínez Johanna Alejandra , Castiblanco Ana Lucía , Aristizabal Fabio A.
Published: March 2024

The protein profile of Bothrops rhombeatus venom was compared to Bothrops asper and Bothrops atrox, and the effectiveness of antivenoms from the National Institute of Health of Colombia (INS) and Antivipmyn-Tri (AVP-T) of Mexico were analyzed. Protein profiles were studied with sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE) and reverse-phase high-performance liquid chromatography (RP-HPLC). The neutralizing potency and the level of immunochemical recognition of the antivenoms to the venoms were determined using Western blot, affinity chromatography, and enzyme-linked immunosorbent assay (ELISA). Bands of phospholipase A2 (PLA2), metalloproteinases (svMPs) I, II, and III as well as serine proteinases (SPs) in the venom of B. rhombeatus were recognized by SDS-PAGE. With Western blot, both antivenoms showed immunochemical recognition towards PLA2 and svMP. INS showed 94% binding to B. rhombeatus venom and 92% to B. asper while AVP-T showed 90.4% binding to B. rhombeatus venom and 96.6% to B. asper. Both antivenoms showed binding to PLA2 and svMP, with greater specificity of AVP-T towards B. rhombeatus. Antivenom neutralizing capacity was calculated by species and mL of antivenom, finding the following for INS: B. asper 6.6 mgV/mL, B. atrox 5.5 mgV/mL, and B. rhombeatus 1.3 mgV/mL. Meanwhile, for AVP-T, the following neutralizing capacities were found: B. asper 2.7 mgV/mL, B. atrox 2.1 mgV/mL, and B. rhombeatus 1.4 mgV/mL. These results show that both antivenoms presented similarity between calculated neutralizing capacities in our trial, reported in a product summary for the public for the B. asper species; however, this does not apply to the other species tested in this trial.
Origins and Natures of Inflation, Dark Matter and Dark Energy
Authors: Bamba Kazuharu
Published: March 2024

Various precise cosmological observations, e [...]
Interferons in Viral Infections
Authors: Sengupta Pracheta , Chattopadhyay Saurabh
Published: March 2024

Interferons (IFNs) are cytokines that inhibit viral replication in host cells by triggering innate immune responses through the transcriptional induction of various IFN-stimulated genes (ISGs) [...]
Simultaneous Detection of Antigen and Antibodies of African Swine Fever in a Novel Combo Lateral Flow Assay
Authors: Aira Cristina , González-García Gabriela , Martínez-Cano Juan , de la Roja Nuria , Giammarioli Monica , Feliziani Francesco , Šteingolde Žanete , Buitkuviene Jurate , Václavek Petr , Glišić Dimitrije , Gallardo Carmina , Sastre Patricia , García-Durán Marga , Rueda Paloma , Fresco-Taboada Alba
Published: March 2024

African swine fever (ASF) is a contagious disease of wild boar and domestic pigs notifiable to the World Organisation for Animal Health due to its high socio-economic impact. ASF is caused by the complex ASF virus (ASFV), and it can present different clinical manifestations that can be confused with other diseases; for this reason, laboratory testing is necessary for the proper diagnosis of clinically suspected animals. Despite the efforts put into it over decades, no treatment or safe vaccine is globally available, and disease control is based on early diagnosis and the implementation of strict biosecurity measures. In this context, rapid tests have the potential to accelerate and facilitate the identification of infected animals by giving fast on-site results. In this work, we improved the available point-of-care assays for the diagnosis of the disease by the development of a more specific antigen test and a more sensitive antibody test. This antibody detection test allowed for the earlier detection of infected animals than two commercial indirect ELISAs (statistically significant). Moreover, we developed a combined dual rapid test, unifying, in the same cassette, an antigen detection strip and an antibody detection strip. In this study, we confirmed that this combo approach is a useful tool for implementing rapid tests in the field since it increases the percentage of positive samples detected, even when PCR turns negative, while maintaining a good specificity.
Burkholderia pseudomallei Complex Subunit and Glycoconjugate Vaccines and Their Potential to Elicit Cross-Protection to Burkholderia cepacia Complex
Authors: Badten Alexander J. , Torres Alfredo G.
Published: March 2024

Burkholderia are a group of Gram-negative bacteria that can cause a variety of diseases in at-risk populations. B. pseudomallei and B. mallei, the etiological agents of melioidosis and glanders, respectively, are the two clinically relevant members of the B. pseudomallei complex (Bpc). The development of vaccines against Bpc species has been accelerated in recent years, resulting in numerous promising subunits and glycoconjugate vaccines incorporating a variety of antigens. However, a second group of pathogenic Burkholderia species exists known as the Burkholderia cepacia complex (Bcc), a group of opportunistic bacteria which tend to affect individuals with weakened immunity or cystic fibrosis. To date, there have been few attempts to develop vaccines to Bcc species. Therefore, the primary goal of this review is to provide a broad overview of the various subunit antigens that have been tested in Bpc species, their protective efficacy, study limitations, and known or suspected mechanisms of protection. Then, we assess the reviewed Bpc antigens for their amino acid sequence conservation to homologous proteins found in Bcc species. We propose that protective Bpc antigens with a high degree of Bpc-to-Bcc sequence conservation could serve as components of a pan-Burkholderia vaccine capable of protecting against both disease-causing groups.
Urban Water Consumption: A Systematic Literature Review
Authors: Dias Talita Flores , Ghisi Enedir
Published: March 2024

The study and analysis of urban water consumption habits in different regions contribute to the development of strategies aimed at secure water reduction and distribution. Within this context, knowledge of global water availability and the analysis of factors that influence consumption in different regions in distinct situations become extremely important. Several studies have been carried out in a number of countries and describe different approaches. The objective of this article is to learn about the strategies used in water consumption forecast and analysis. Most of the studies analysed seek to understand the factors influencing consumption in different building types. When it comes to residential buildings, the number of residents and the influence of economic issues on water consumption have an important role in this matter. In this context, pieces of research present the use of awareness campaigns as a strategy towards water use reduction. As a contribution, this article presents a systemic view of the pieces of research conducted and their contribution to forecasting water consumption in different regions. In conclusion, one observes the importance of analysing the factors influencing water consumption in different regions and scenarios, such as during the COVID-19 pandemic. This article can help managers and researchers understand the main factors that influence water consumption and how this consumption takes place in different regions.
Analysis of Flood Water Level Variation in the Yichang–Chenglingji Reach of the Yangtze River after Three Gorges Project Operation
Authors: Jiang Lei , Zeng Ziyue
Published: March 2024

Since the impoundment of the Three Gorges Project, the downstream hydrology and river dynamics have been modified. The Yichang–Chenglingji Reach (YCR), as a part of the mainstream of the Middle Yangtze River, has consequently been significantly scoured, which has resulted in stream trenching and section enlargements, without showing any obvious trend in flood level variation, however. This phenomenon can be caused by the increase in riverbed resistance due to river geomorphological change and bottomland vegetation development and the backwater effect of Dongting Lake. To investigate how these factors influence the flood water levels, this study analyzed the variations in the influencing factors based on observational data, theoretical analysis and mathematical modelling, including river channel scouring, riverbed resistance, and the influence of Dongting Lake backwater. Then, the impact of these factors on flood levels was evaluated, followed by a comparative analysis of the effects of various factors. The results show that both the flood backwater height (ΔZ) and the backwater influence range (L) are positively correlated with the outflow intensity (T) at the Chenglingji station. The backwater effect decreases gradually with increasing upstream distance, and the influence on the upstream reach can extend up to Shashi city. It was also indicated that the increase in riverbed resistance due to bottomland vegetation development and river geomorphology are dominant factors in inhibiting flood level declines in the YCR, while the backwater of Dongting Lake just affects local regions. This study can provide a better understanding of the flood level changes of the YCR and thus contribute to flood control and riverbank protection of the Yangtze River in the future.
Optimization of Composite Cavitation Nozzle Parameters Based on the Response Surface Methodology
Authors: Huang Gao , Qiu Chengjun , Song Mengtian , Qu Wei , Zhuang Yuan , Chen Kaixuan , Huang Kaijie , Gao Jiaqi , Hao Jianfeng , Hao Huili
Published: March 2024

Cavitation is typically observed when high-pressure submerged water jets are used. A composite nozzle, based on an organ pipe, can increase shear stress on the incoming flow, significantly enhancing cavitation performance by stacking Helmholtz cavities in series. In the present work, the flow field of the composite nozzle was numerically simulated using Large Eddy Simulation and was paired with the response surface method for global optimizing the crucial parameters of the composite nozzle to examine their effect on cavitation behavior. Utilizing peak gas-phase volume percent as the dependent variable and the runner diameter, Helmholtz chamber diameter, and Helmholtz chamber length as independent variables, a mathematical model was constructed to determine the ideal parameters of the composite nozzle through response surface methodology. The optimized nozzle prediction had an error of only 2.04% compared to the simulation results, confirming the accuracy of the model. To learn more about the cavitation cloud properties, an experimental setup for high-pressure cavitation jets was also constructed. Impact force measurements and high-speed photography tests were among the experiments conducted. The simulated evolution period of cavitation cloud characteristics is highly consistent with the experimental period. In the impact force measurement experiment, the simulated impact force oscillates between 256 and 297 N, and the measured impact force oscillates between 260 N and 289 N, with an error between 1.5% and 2.7%. The simulation model was verified by experimental results. This study provides new insights for the development of cavitation jet nozzle design theory.
Effects of Erosion Control Works: Case Study–Reservoir Celije, Rasina River Basin, the Zapadna Morava River (Serbia)
Authors: Stefanović Irina , Ristić Ratko , Dragović Nada , Stefanović Milutin , Živanović Nada , Čotrić Jelena
Published: March 2024

The aim of this research was to analyze the impact of implemented erosion control works (ECW) on soil erosion intensity in the watershed of the Ćelije reservoir (Rasina River) in the period between 1968 and 2022. The Erosion Potential Method was used to calculate the annual gross erosion (W), sediment transport (G), and erosion coefficient (Z) in the study area. As a result of the performed ECW there was a general decreasing trend in the intensity of soil erosion processes in the last 54 years. The specific annual gross erosion was 1189.12 m3/km−2/year−1 in 1968, while in 2022 it was 554.20 m3/km−2/year−1. The specific sediment transport was 540.18 m3/km−2/year−1 in 1968 and 253.55 m3/km−2/year−1 in 2022. Due to the changes in the intensity of erosion processes, the specific annual gross erosion decreased by 634.92 m3/km−2/year−1 and the specific sediment transport decreased by 286.63 m3/km−2/year−1. The erosion coefficient was reduced from Z = 0.62 to Z = 0.35. A dependence between the slope of siltation and the natural bed slope was defined. The results show a significant correlation between erosion intensity and performed ECW, providing a basis for future watershed management and defining a strategy for soil erosion control in the Ćelije reservoir watershed.
An Investigation of Representative Customer Load Collectives in the Development of Electric Vehicle Drivetrain Durability
Authors: Li Mingfei , Noering Fabian Kai-Dietrich , Öngün Yekta , Appelt Michael , Henze Roman
Published: March 2024

To ensure the precise dimensioning and effective testing of drivetrain components, it is crucial to have a thorough understanding of customer requirements, with a particular emphasis on customer stress on these components. An accurate interpretation of customer data is essential for determining representative customer requirements, such as load collectives. The automobile industry has faced challenges in analyzing large amounts of customer driving data to obtain representative load collectives as target values in durability design. However, due to technical limitations and cost constraints, collecting data from a large sample size is not feasible. The ongoing digitalization of the automotive industry, driven by an increasing number of connected vehicles, enhances data-based and customer-oriented development. This paper investigates representative customer load collectives using cloud data from over 40,000 customer vehicles to lay the groundwork for realizing robust requirement engineering. A systematic method for analyzing big data on the cloud was introduced. The derived component-specific damage distribution from these collectives adopts a unique approach, utilizing the 1% vehicle term instead of the common 1% customer term to represent typical customer stress. This study shows that the driven mileage and the number of vehicles are crucial factors in 1% vehicle analysis. An analysis of the characteristics of the 1% vehicle is conducted, followed by an exploration to determine the required vehicle quantity for obtaining stable results. The shape parameter of the damage distribution determines the necessary number of vehicles for a reliable conclusion. Additionally, a comparative analysis of market-specific customer requirements between the US and Europe is presented, and real usage differences in customer operations are explained using an operating point frequency heatmap. The information presented in this paper provides valuable input for optimizing durability design and conducting efficient, customer-oriented tests, resulting in significant reductions in development time and costs.