bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical and Economic Analysis of Hydronic-Heated Anti-Icing Solutions on Underground Park Driveways
Authors: Kayaci Nurullah , Kanbur Baris Burak
Published: February 2023

Snow and ice forming on the entrance and exit driveways of underground car parks of buildings brings serious difficulties and risks in safe parking for vehicles in winter. Even though traditional methods such as chemical salt and snow plowing reduce slippery conditions on driveways, they also result in infrastructure- and environment-related damages. Hydronic heating is an alternative way to prevent snow and ice forming; thereby, the hydronic heating driveway (HHD) is a promising technique for energy-efficient and environment-friendly solutions. This study presents a time-dependent three-dimensional numerical heat transfer model for HHD applications with realistic boundary conditions and meteorological data in the MATLAB environment. After developing the numerical heat transfer model, the model is applied to a case study in Istanbul, Turkey and followed by an economic comparison with the commercial electrically-heated driveways (EHD) method that is applied in two different ways; applying the electric cables in (i) whole driveway and (ii) only tire tracks. Different escalation rates in natural gas and electricity, hot fluid inlet temperature, air temperature, and the number of parallel pipes are the main parameters in the case study. Results show that the decrease in pipe spacing drops the investment cost term but it needs a higher supplied fluid temperature for anti-icing, and therefore the operating cost term increases. Among other cases was the number of parallel pipes, with 50 being the most economically feasible solution for all air temperatures ranging from 0 °C to −10 °C. The economic comparison shows that the EHD with only tire tracks has the minimum total cost as it significantly decreased both the operating and investment cost terms. In case of an anti-icing requirement on the whole road surface, the HHD system was found to be preferable to the EHD whole driveway scenario at air temperatures of 0 °C and −5 °C, while it is more beneficial only for the high electricity escalation rates at the ambient temperature of −10 °C.
Application of Fuzzy TRUST CRADIS Method for Selection of Sustainable Suppliers in Agribusiness
Authors: Puška Adis , Nedeljković Miroslav , Stojanović Ilija , Božanić Darko
Published: February 2023

This study deals with the selection of a sustainable supplier on the example of the agribusiness company Mamex from Bosnia and Herzegovina. The main problem of this research is the selection of a sustainable supplier as a part of the sustainable strategy of the Mamex company. One of the prerequisites is that suppliers must present sustainability principles in business by having an appropriate certificate. The results of the selection of sustainable suppliers are completed using a new hybrid fuzzy approach with the methods IMF SWARA (Improved Fuzzy Stepwise Weight Assessment Ratio Analysis) and fuzzy TRUST (multi-normalization multi-distance assessment) CRADIS (compromise ranking of alternatives from distance to ideal solution) methods. The innovative approach is reflected in the use of a combination of these methods, especially by combining the TRUST and CRADIS methods into one method. The IMF SWARA method shows that the most important main criterion is the economic criterion, while the least important is the social criterion. By applying the fuzzy TRUST CRADIS method, it is found that out of the observed six suppliers, the second supplier has the best indicators. These results are confirmed by other fuzzy methods: MABAC (multi-attributive border approximation area comparison), WASPAS (weighted aggregated sum product assessment), fuzzy SAW (simple additive weighting), MARCOS (measurement of alternatives and ranking according to compromise solution), ARAS (a new additive ratio assessment), and TOPSIS (technique for order preference by similarity to an ideal solution). This research shows that applying more normalization when ranking alternatives reduces the influence of individual normalizations, and this approach should be used in future research.
A Blockchain-Driven Food Supply Chain Management Using QR Code and XAI-Faster RCNN Architecture
Authors: Bhatia Surbhi , Albarrak Abdulaziz Saad
Published: February 2023

The availability of food in a country and the capacity of its citizens to access, acquire, and receive enough food are both referred to as having food security. A crucial component of food security is ensuring and maintaining safe and high-quality goods, which the supply chain process should take into due deliberation. To enhance the food supply chain, organic and wholesome food items should be encouraged. Although packaged goods are evaluated and approved by legal authorities, there is no mechanism in place for testing and assessing the market’s available supply on a regular basis. As a result, food manufacturers are compelled to provide nutritious and healthy products. In this research, we propose an explainable artificial intelligence-based faster regions with convolutional neural networks (XAI-based Faster RCNN) model to evaluate the contents of the food items through user-friendly web-based front-end design and QR code. To validate each communication token in the network, an elliptic curve integrated encrypted scheme (ECIES) based on blockchain technology is utilized. Additionally, artificial rabbit optimization (ARO) is used to register each user and assign him a key. The user will gain a deeper understanding of machine learning (ML) and AI applications using the XAI technique. An EAI-based Faster RCNN model is proposed to help digitize information about food products, rapidly retrieve the information, and discover any hidden information in the quick response (QR) code that could have impacted the safety and quality of the food. The results of the experiments indicated that the proposed method requires less response time than other existing methods with the increase of payload and users. The Shapley additive explanation is used to obtain a legal plea for the laboratory test based on the nutritional information present in the QR code. The benefits provided by ECIES-based blockchain technology assist policymakers, manufacturers, and merchants in efficient decision-making, minimizing public health hazards, and improving welfare. This paper also shows that the accuracy achieved by the proposed method reached 99.53%, with the lowest processing time.
Experimental Study of the Microscopic Visualization of Gas Clogging during Groundwater Recharge
Authors: Li Xiaoyuan , Yue Gaofan , Huang Jin’ou
Published: February 2023

Clogging is one of the most important factors that restricts the development and popularization of artificial groundwater recharge technology. Gas clogging is an important but often overlooked form of clogging. In this study, a high-speed image acquisition system was used to obtain high-resolution images of the migration of water and gas in the pore. The bypass flow, trapped bubbles in the H-shaped pore channel, blind end, and corner of the pore were directly observed and their clogging mechanisms were analyzed. The influences of the pore structure and gas content on the degree of gas clogging were quantified. The pore–throat size has a certain controlling effect on the movement of the gas and liquid phases. As the diameter of the pore–throat increases, the clogging effect of the gas decreases, and the relative permeability of the water (krw) increases. The pore–throat ratio exhibits a negative correlation with the relative permeability of the liquid phase, and the pore–throat sorting coefficient exhibits a positive correlation with krw. As the gas content increases, the degree of gas clogging increases, and the effect is more significant at low gas-to-liquid ratios (<1:2). These results provide theoretical support for the scientific quantitative evaluation and prediction of the occurrence of gas clogging in groundwater recharge projects.
Economic Land Utilization Optimization Model
Authors: Hosny Ossama A. , Dorra Elkhayam M. , Tarabieh Khaled A. , El Eslamboly Ahmed , Abotaleb Ibrahim , Amer Mariam , Gad Heba Kh. , Farouk Mostafa , Abd El Raouf Youmna , Sherif Adham , Hussein Youssef
Published: February 2023

Recently, population growth and resource depletion have been matched by a growing demand for self-sustaining communities. Numerous studies promote sustainable solutions to the concerns of climate change and food scarcity. This study aims at creating an automated Economic Land Utilization Optimization Model (ELUOM) that identifies sustainable and cost-effective agricultural practices. Soil, water & climatic characteristics of over 400 crops are gathered in a relational database to build the model. Evolutionary algorithms are utilized to filter the database based on user input. Optimization process is then performed on all possible utilization plans of the filtered crops to maximize the 20-year return while minimizing water consumption. The model is verified on a case study in Giza, Egypt where it shows the potential of increasing the return/m3 of water by 370% versus current practices. This research also studies the application of ELOUM on a vacant plot in the American university in Cairo, Egypt.
The Lean Farm: Application of Tools and Concepts of Lean Manufacturing in Agro-Pastoral Crops
Authors: Martins Adriano de Oliveira , dos Anjos Fernando Elemar Vicente , da Silva Debora Oliveira
Published: February 2023

Agriculture must find new ways to reduce costs and increase efficiency to meet the rising demand for products, avoiding waste due to potential food scarcity. Through the systematic literature review methodology, this study analyzes and synthesizes the existing literature on lean manufacturing (LM) applied in agro-pastoral production, its impact on reduction in losses and waste, and productivity increases considering production function mechanism (PFM), connecting to a sustainability model based on triple bottom line (TBL). A comprehensive search strategy was used to identify relevant studies and critically evaluate them using pre-determined inclusion and exclusion criteria. The findings provide insights into LM applied in agro-pastoral production and inform future research in the field, highlighting the potential of using LM concepts by reducing losses and waste and increasing productivity. The potential for TBL impacts from application of lean concepts in agro-pastoral production suggests a tendency for growth in this area of research. A theoretical understanding of how lean tools and techniques can be applied to improve productivity and profitability in the agricultural sector is provided, as well as practical examples and recommendations for implementing lean practices in agricultural operations, aligning sustainability and LP tools and concepts.
A Sustainable Approach towards the Restoration of Lead-Contaminated Soils through Nutrient-Doped Olive Waste-Derived Biochar Application
Authors: Usama Muhammad , Rafique Muhammad I. , Ahmad Jahangir , Ahmad Munir , Al-Wabel Mohammad I. , Al-Farraj Abdullah S. F.
Published: February 2023

The current study was conducted to investigate the efficiency of olive mill waste-derived biochar and its silica-embedded and nutrient-loaded derivatives in immobilizing lead (Pb) and improving nutrients availability in contaminated sandy loam soils. Biochar was produced at 500 °C and latterly modified with silica and enriched with nutrients (P and N). An incubation experiment was conducted for a period of 45 days to observe the dynamics in heavy metals and nutrient release. The produced biochar and its modified versions were characterized for physiochemical and structural properties prior to soil application. The results of incubation trials demonstrated that pseudo second-order kinetic model was fitted best to Pb, P, NO3− and NH4+ release characteristics. Silica embedded and nutrient loaded biochars performed outclass and showed up to 85% decline in Pb release against control treatment. Similarly, 38%, 69% and 59% increase in P, NO3− and NH4+ availability, respectively, was observed with modified biochars, as compared to 22%, 59% and 32% increase with pristine biochar application, respectively. Overall, silica and nutrient doping of biochar resulted in significantly higher immobilization of Pb in contaminated soil and increased the nutrient availability, which could be helpful in restoring heavy metal contaminated soil and improving soil fertility.
Technology-Enhanced Learning in Light of Bloom’s Taxonomy: A Student-Experience Study of the History of Architecture Course
Authors: Al Maani Duaa , Shanti Zaher
Published: February 2023

The purpose of this study is to determine whether and how the use of video-based learning resources by architecture students contributes to the development of high-order cognitive abilities in light of Bloom’s revised taxonomy, as well as how satisfied these students are with this integration into their coursework. Convenience sampling was used to recruit participants who completed a two-phase questionnaire (n = 52) and focus-group interviews (n = 16). This study provided empirical evidence of the advantages of this integration in establishing a student-centered atmosphere, and as a cost-effective, accessible, and sustainable strategy for enhancing blended learning in the field of architectural history. Nonetheless, the examination of the narratives suggests that this strategy primarily nurtures low-order cognitive abilities. To maximize the potential of this pedagogical strategy to improve student learning outcomes, educators must develop curricula that nurture high-order thinking using Bloom’s taxonomy taking into consideration the characteristics of each discipline. Learning activities should go beyond memorization and recall of facts, allowing students to apply, analyze, synthesize, and evaluate their knowledge, as well as consider concepts from multiple perspectives.
Cradle-to-Grave Lifecycle Analysis of Greenhouse Gas Emissions of Light-Duty Passenger Vehicles in China: Towards a Carbon-Neutral Future
Authors: Gan Yu , Lu Zifeng , He Xin , Wang Michael , Amer Amer Ahmad
Published: February 2023

Vehicle electrification is considered a pathway for on-road transportation decarbonization in China. Different from the conventional gasoline vehicles whose emissions are mainly released from vehicle tailpipes, emissions of battery electric vehicles (BEVs) are from the upstream processes of electricity generation and vehicle manufacturing, thus a comprehensive lifecycle analysis and comparison of BEVs with gasoline vehicles is required to quantify the emission mitigation benefit of vehicle electrification and determine the path to a carbon-neutral future. In the study, we compare the cradle-to-grave (C2G) lifecycle greenhouse gas emissions of gasoline and electric vehicles in China and analyze the greenhouse gas emission reduction of vehicle electrification in different provinces. Results show that under the current technologies, the national average C2G GHG emissions for battery electric vehicles (BEVs) of 100 miles (i.e., 160 km) and 300 miles (i.e., 480 km) all-electric range (AER) are 231 and 279 g CO2eq/km, respectively, 22% and 5% lower than those for gasoline internal combustion engine vehicles (ICEVs). Improving vehicle fuel efficiency by hybridizing gasoline ICEVs can effectively reduce C2G emissions to 212 g CO2eq/km. At the provincial level, C2G GHG emissions of BEVs vary according to the provincial electricity mix. In eight provinces, C2G GHG emissions of BEVs with 300 miles AER (BEV300s) are higher than those of gasoline ICEVs due to the GHG-intensive coal-based electricity mix. In the future scenario, with low carbon fuels (such as high-level bioethanol blending gasoline) and electricity decarbonization, the national average C2G emissions of hybrid electric vehicles (HEVs) and BEV300s can be reduced to 55 and 73 g CO2eq/km, respectively. Further decrease of C2G GHG emissions relies on reducing vehicle-cycle emissions from material processing and vehicle component manufacturing.
Theory of Quantum Mechanical Scattering in Hyperbolic Space
Authors: Jenkovszky L. L. , Kurochkin Y. A. , Otchik V. S. , Pista P. F. , Shaikovskaya N. D. , Shoukavy D. V.
Published: February 2023

The theory of quantum mechanical scattering in hyperbolic space is developed. General formulas based on usage of asymptotic form of the solution of the Shrödinger equation in hyperbolic space are derived. The concept of scattering length in hyperbolic space, a convenient measurable in describing low-energy nuclear interactions is introduced. It is shown that, in the limit of the flat space, i.e., when ρ→∞, the obtained expressions for quantum mechanical scattering in hyperbolic space transform to corresponding formulas in three-dimensional Euclidean space.
Thermal Onsets of Viscous Dissipation for Radiative Mixed Convective Flow of Jeffery Nanofluid across a Wedge
Authors: Dadhich Yogesh , Alessa Nazek , Jain Reema , Kaladgi Abdul Razak , Loganathan Karuppusamy , Devi V. Radhika
Published: February 2023

The current analysis discusses Jeffery nanofluid’s thermally radiative flow with convection over a stretching wedge. It takes into account the Brownian movement and thermophoresis of the Buongiorno nanofluid model. The guiding partial differential equations (PDEs) are modified by introducing the symmetry variables, leading to non-dimensional ordinary differential equations (ODEs). To solve the generated ODEs, the MATLAB function bvp4c is implemented. Examined are the impacts of different flow variables on the rate of transmission of heat transfer (HT), temperature, mass, velocity, and nanoparticle concentration (NC). It has been noted that the velocity and mass transfer were increased by the pressure gradient factor. Additionally, the thermal boundary layer (TBL) and nanoparticle concentration are reduced by the mixed convection (MC) factor. In order to validate the present research, the derived numerical results were compared to previous findings from the literature while taking into account the specific circumstances. It was found that there was good agreement in both sets of data.
Role of Root Exudates in Cadmium Accumulation of a Low-Cadmium-Accumulating Tobacco Line (Nicotiana tabacum L.)
Authors: Huang Huagang , Lu Runze , Zhan Juan , He Jinsong , Wang Yong , Li Tingxuan
Published: February 2023

Root exudates are tightly linked with cadmium (Cd) uptake by the root and thus affect plant Cd accumulation. A hydroponic experiment was carried out to explore the role of root exudates in Cd accumulation of a low-Cd-accumulating tobacco line (RG11) compared with a high-Cd- accumulating tobacco line (Yuyan5). Greater secretion of organic acids and amino acids by the roots was induced by an exogenous Cd addition in the two tobacco lines. The concentration of organic acid secreted by RG11 was only 51.1~61.0% of that secreted by Yuyan5. RG11 roots secreted more oxalic acid and acetic acid and less tartaric acid, formic acid, malic acid, lactic acid, and succinic acid than Yuyan5 under Cd stress. Oxalic acid accounted for 26.8~28.8% of the total organic acids, being the most common component among the detected organic acids, and was significantly negatively correlated with Cd accumulation in RG11. Propionic acid was only detected in the root exudates of RG11 under Cd stress. Lactic acid was positively linked with Cd accumulation in Yuyan5, being less accumulated in RG11. Similarly, RG11 secreted more amino acids than Yuyan5 under Cd stress. Aspartic acid, serine, and cysteine appeared in RG11 when it was exposed to Cd. Lysine was the most secreted amino acid in RG11 under Cd stress. RG11 roots secreted less lysine, histidine, and valine, but more phenylalanine and methionine than Yuyan5 under Cd stress. The results show that organic acids and amino acids in root exudates play a key role in Cd uptake by the root, and this contribution varied with cultivar/genotype. However, further research is still needed to explore the mechanisms underlying low Cd translocation to the leaf, which may be the key contribution of low Cd accumulation in RG11 to the security of tobacco leaf.
The Presence of Testis Determines Aristolochic Acid-Induced Nephrotoxicity in Mice
Authors: Li Wei-Long , Padanilam Babu J. , Kim Jinu
Published: February 2023

Aristolochic acid (AA) is notorious for inducing nephrotoxicity, but the influence of sex on AA-induced kidney injury was not clear. This study sought to investigate sex differences in kidney dysfunction and tubular injury induced by AA. Male and female mice were bilaterally orchiectomized and ovariectomized, respectively. Fourteen days after gonadectomy, the mice were intraperitoneally injected with AA (10 mg/kg body weight/day) daily for 2 days and sacrificed 7 days after the first injection. Body weight, kidney function, and tubular structure were assessed. When compared between male and female non-gonadectomized mice, AA-induced body weight loss was greater in male mice than in female mice. Functional and structural damages in male kidneys were markedly induced by AA injection, but kidneys in AA-injected female mice showed no or mild damages. Ovariectomy had no effect on AA-induced nephrotoxic acute kidney injury in female mice. However, orchiectomy significantly reduced body weight loss, kidney dysfunction, and tubular injury in AA-induced nephrotoxicity in male mice. This study has demonstrated that testis causes AA-induced nephrotoxic acute kidney injury.
Basic Aspects and Epidemiological Studies on Leptospirosis Carried Out in Animals in Chile: A Bibliographic Review
Authors: Azócar-Aedo Lucía
Published: February 2023

Leptospirosis is an important zoonosis worldwide. This disease affects numerous animal species, some of them are classified as “maintenance hosts”, and others are categorized as “incidental hosts”. Humans are at risk of becoming infected by having contact with domestic and wild animals. In this paper, general aspects of the etiology and transmission of leptospirosis are addressed, data regarding the clinical presentation of the pathology in humans and animals are also presented, and the results of some epidemiological studies on leptospirosis carried out in Chile in different animal species and humans are summarized through a bibliographic review of the literature. The research on domestic canines and horses stands out in terms of their number in the country, with prevalences between 12.0% and 59.1% in dogs and from 23.3% to 65.4% in equids. Studies have been performed on domestic felines in recent years with frequencies ranging from 3.0% to 25.2%, as well as on wild animals (mainly in mammals). In pigs, cattle, sheep, and goats, the information is scarce, with little updated research dating back several decades and variable prevalence rates, which are generally high, except for in sheep. Leptospirosis is a disease of varied etiology in terms of infecting species, serovars and serogroups, which influences its epidemiology, and its prevalence is variable in different animals. An increase in the awareness given to this pathology in human and veterinary public health is required, as well as more scientific studies in Chile, to update the existing knowledge.
Running and Running of the Running of the Scalar Spectral Index in Warm Inflation
Authors: Das Suratna , Ramos Rudnei
Published: February 2023

The next generation of cosmological observations are expected to improve the measurements of several quantities connected to the primordial inflation in the early Universe. These quantities include, for example, improved measurements for the spectral index of the scalar curvature of the primordial power spectrum and to also bring a better understanding on the scaling dependence of the primordial spectrum. This includes the running of the tilt and possibly, also, the running of the running. In this paper, we investigate the possibility of generating large runnings in the context of warm inflation. Useful analytical expressions for the runnings are derived in the context of warm inflation in the large dissipation regime. The results are compared to and discussed for some well-motivated primordial inflaton potentials that have recently been of interest in the literature.
Automatic Identification of Aurora Fold Structure in All-Sky Images
Authors: Wang Qian , Fang Haonan , Li Bin
Published: February 2023

Identification of small-scale auroral structures is key to searching for auroral events. However, it is impracticable for humans to manually select sufficient aurora events for statistical analysis, and it is also challenging for computers because of the non-rigid shape and fluid nature of auroras. Fold structure is the most common type of auroral small-scale structure, and its appearance is indicative of a variety of auroral events. This paper proposes a small-scale aurora structure identification framework to automatically detect aurora fold structures. First, the location and shape of auroras are identified based on a deep learning segmentation network. Then, the skeleton of the auroral shape is extracted to represent the trajectories of auroras. Finally, the proposed skeleton-based fold identification module (SFIM) can detect the aurora fold structure. To evaluate the effectiveness of the proposed method, we built an aurora fold structure sample dataset, namely F-dataset, containing 2000 images at 557.7 nm obtained by the all-sky imagers at Yellow River Station (YRS), Ny-Ålesund, Svalbard. Experimental results show that automatic identification can achieve good consistency with human perception. Statistical analysis of over 30,000 images shows that the fold occurrence has a distinct double-peak distribution at pre-noon and post-noon.
An Urban Density-Based Runoff Simulation Framework to Envisage Flood Resilience of Cities
Authors: Wijayawardana Naduni , Abenayake Chethika , Jayasinghe Amila , Dias Nuwan
Published: February 2023

Assessing the influence of urban density on surface runoff volume is vital for guiding the built-form expansions toward flood-resilient cities. This paper attempts to develop a spatial simulation framework to assess the impact of urban density on the level of surface runoff (SR), at the scale of the micro-watershed. This paper proposes a spatial simulation framework that comprehensively captures the influence of urban density dynamics over surface runoff. The simulation model consists of 13 proxies of urban density that are identified through a systematic literature review. The model is formulated through three case applications in Colombo, Sri Lanka; and validated statistically and empirically with reference to flooding events that occurred in 2021–2022. The possible planning interventions for reducing urban flooding are analyzed through an AI-based application of Decision Tree Analysis. The model results indicated that impervious coverage, open space ratio, and road density have the most significant impact on surface runoff volumes in selected micro-watersheds. The decision-making process for planning the built environment for reducing urban flooding is demonstrated by three possible density control options with a prediction accuracy of 98.7%, 94.8%, and 93.5% respectively. This contributes a novel framework to capture the density dynamics of built form in surface runoff simulations by three density areas (3Ds): density, diversity, and design; and to demonstrate the decision-making process for controlling the density of built form in reducing urban flooding.
Alphaviruses Detected in Mosquitoes in the North-Eastern Regions of South Africa, 2014 to 2018
Authors: Guarido Milehna M. , Fourie Isabel , Meno Kgothatso , Mendes Adriano , Riddin Megan A. , MacIntyre Caitlin , Manyana Sontaga , Johnson Todd , Schrama Maarten , Gorsich Erin E. , Brooke Basil D. , Almeida Antonio Paulo G. , Venter Marietjie
Published: February 2023

The prevalence and distribution of African alphaviruses such as chikungunya have increased in recent years. Therefore, a better understanding of the local distribution of alphaviruses in vectors across the African continent is important. Here, entomological surveillance was performed from 2014 to 2018 at selected sites in north-eastern parts of South Africa where alphaviruses have been identified during outbreaks in humans and animals in the past. Mosquitoes were collected using a net, CDC-light, and BG-traps. An alphavirus genus-specific nested RT-PCR was used for screening, and positive pools were confirmed by sequencing and phylogenetic analysis. We collected 64,603 mosquitoes from 11 genera, of which 39,035 females were tested. Overall, 1462 mosquito pools were tested, of which 21 were positive for alphaviruses. Sindbis (61.9%, N = 13) and Middelburg (28.6%, N = 6) viruses were the most prevalent. Ndumu virus was detected in two pools (9.5%, N = 2). No chikungunya positive pools were identified. Arboviral activity was concentrated in peri-urban, rural, and conservation areas. A range of Culicidae species, including Culex univittatus, Cx. pipiens s.l., Aedes durbanensis, and the Ae. dentatus group, were identified as potential vectors. These findings confirm the active circulation and distribution of alphaviruses in regions where human or animal infections were identified in South Africa.
Trivalent SARS-CoV-2 S1 Subunit Protein Vaccination Induces Broad Humoral Responses in BALB/c Mice
Authors: Khan Muhammad S. , Kim Eun , Huang Shaohua , Kenniston Thomas W. , Gambotto Andrea
Published: February 2023

This paper presents a novel approach for improving the efficacy of COVID-19 vaccines against emergent SARS-CoV-2 variants. We have evaluated the immunogenicity of unadjuvanted wild-type (WU S1-RS09cg) and variant-specific (Delta S1-RS09cg and OM S1-RS09cg) S1 subunit protein vaccines delivered either as a monovalent or a trivalent antigen in BALB/c mice. Our results show that a trivalent approach induced a broader humoral response with more coverage against antigenically distinct variants, especially when compared to monovalent Omicron-specific S1. This trivalent approach was also found to have increased or equivalent ACE2 binding inhibition, and increased S1 IgG endpoint titer at early timepoints, against SARS-CoV-2 spike variants when compared monovalent Wuhan, Delta, or Omicron S1. Our results demonstrate the utility of protein subunit vaccines against COVID-19 and provide insights into the impact of variant-specific COVID-19 vaccine approaches on the immune response in the current SARS-CoV-2 variant landscape. Particularly, our study provides insight into effects of further increasing valency of currently approved SARS-CoV-2 vaccines, a promising approach for improving protection to curtail emerging viral variants.
Assessment of Immunogenicity and Efficacy of CV0501 mRNA-Based Omicron COVID-19 Vaccination in Small Animal Models
Authors: Roth Nicole , Gergen Janina , Kovacikova Kristina , Mueller Stefan O. , Ulrich Lorenz , Schön Jacob , Halwe Nico Joel , Fricke Charlie , Corleis Björn , Dorhoi Anca , Hoffmann Donata , Beer Martin , Maione Domenico , Petsch Benjamin , Rauch Susanne
Published: February 2023

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) Omicron and its subvariants (BA.2, BA.4, BA.5) represented the most commonly circulating variants of concern (VOC) in the coronavirus disease 2019 (COVID-19) pandemic in 2022. Despite high vaccination rates with approved SARS-CoV-2 vaccines encoding the ancestral spike (S) protein, these Omicron subvariants have collectively resulted in increased viral transmission and disease incidence. This necessitates the development and characterization of vaccines incorporating later emerging S proteins to enhance protection against VOC. In this context, bivalent vaccine formulations may induce broad protection against VOC and potential future SARS-CoV-2 variants. Here, we report preclinical data for a lipid nanoparticle (LNP)-formulated RNActive® N1-methylpseudouridine (N1mΨ) modified mRNA vaccine (CV0501) based on our second-generation SARS-CoV-2 vaccine CV2CoV, encoding the S protein of Omicron BA.1. The immunogenicity of CV0501, alone or in combination with a corresponding vaccine encoding the ancestral S protein (ancestral N1mΨ), was first measured in dose-response and booster immunization studies performed in Wistar rats. Both monovalent CV0501 and bivalent CV0501/ancestral N1mΨ immunization induced robust neutralizing antibody titers against the BA.1, BA.2 and BA.5 Omicron subvariants, in addition to other SARS-CoV-2 variants in a booster immunization study. The protective efficacy of monovalent CV0501 against live SARS-CoV-2 BA.2 infection was then assessed in hamsters. Monovalent CV0501 significantly reduced SARS-CoV-2 BA.2 viral loads in the airways, demonstrating protection induced by CV0501 vaccination. CV0501 has now advanced into human Phase 1 clinical trials (ClinicalTrials.gov Identifier: NCT05477186).
Intention to Vaccinate against COVID-19 among Young Adults: The Role of Conspiratorial Thinking
Authors: Hromatko Ivana , Mikac Una , Tadinac Meri
Published: February 2023

The anti-scientific and anti-vaccine movements gained momentum amidst the health and socio-economic crisis brought about by the COVID-19 pandemic. These widespread pseudoscientific beliefs and the endorsement of conspiracy theories likely contributed to the COVID-19 vaccine hesitancy. The aim of this study was to explore which variables best differentiated between groups of vaccinated (n = 289), vaccine-hesitant (n = 106), and vaccine-refusing (n = 146) young adults. The study was conducted online at the beginning of the mass vaccination campaign in Croatia when the vaccine just became available for younger and non-vulnerable members of the general population. The demographic variables, COVID-19 anxiety, and conspiratorial thinking regarding COVID-19 were entered into the discriminant analysis. The function explaining 89.2% of the group differences, mostly between the vaccinated and vaccine-refusing, was largely defined by conspiratorial thinking regarding COVID-19 (0.852), followed by variables with substantially less discriminative power, including COVID-19 anxiety (0.423; lower in the vaccine-refusing group), political orientation (0.486; vaccine-refusing leaning less to the left), financial and educational status (0.435 and 0.304, respectively; both lower in the vaccine-refusing group), and religiosity (0.301; higher in the vaccine-refusing group). These results confirm that among young adults, the decision to vaccinate against COVID-19 might be heavily influenced by one’s proclivity to engage in conspiratorial thinking.
Insights into the Novel Therapeutics and Vaccines against Herpes Simplex Virus
Authors: Malik Shiza , Sah Ranjit , Ahsan Omar , Muhammad Khalid , Waheed Yasir
Published: February 2023

Herpes simplex virus (HSV) is a great concern of the global health community due to its linked infection of inconspicuous nature and resultant serious medical consequences. Seropositive patients may develop ocular disease or genital herpes as characteristic infectious outcomes. Moreover, the infectious nature of HSV is so complex that the available therapeutic options have been modified in certain ways to cure it. However, no permanent and highly effective cure has been discovered. This review generates insights into the available prophylactic and therapeutic interventions against HSV. A methodological research approach is used for study design and data complication. Only the latest data from publications are acquired to shed light on updated therapeutic approaches. These studies indicate that the current antiviral therapeutics can suppress the symptoms and control viral transmission up to a certain level, but cannot eradicate the natural HSV infection and latency outcomes. Most trials that have entered the clinical phase are made part of this review to understand what is new within the field. Some vaccination approaches are also discussed. Moreover, some novel therapeutic options that are currently in research annals are given due consideration for future development. The data can enable the scientific community to direct their efforts to fill the gaps that remain unfilled in terms of therapies for HSV. The need is to integrate scientific efforts to produce a proper cure against HSV to control the virus spread, resistance, and mutation in future disease management.
The Mutual Effect of Microparticles and Antidepressants on the Protozoan Spirostomum ambiguum (Müller, 1786) Ehrenberg, 1835
Authors: Chojnacka Justyna , Drobniewska Agata , Lenga Wioletta , Misztal Joanna , Wawryniuk Milena , Nałęcz-Jawecki Grzegorz
Published: February 2023

Antidepressants, especially selective serotonin re-uptake inhibitors, which are among the most commonly used pharmaceuticals, are ubiquitous in effluents and freshwaters. Microparticles, including microplastics, show sorption properties to different compounds, thus becoming a potential vector of toxic substances. This study aimed to evaluate the effects of four antidepressants on the protozoan Spirostomum ambiguum in the presence of four types of microplastics and baker’s yeast. The Spirotox, measuring the acute toxicity, and food uptake inhibition assay were applied. The microparticles did not influence the toxicity of the tested antidepressants in the acute toxicity assay. Moreover, they did not adsorb the drugs during a seven-day incubation in dark. However, sublethal levels of sertraline and duloxetine decreased the number of food vacuoles formed by the protozoa. The highest effect was observed in the case of the suspension of edible particles of baker’s yeast, where a significant decrease in the number of food vacuoles was observed in the sertraline concentration as low as 0.025 mg L−1. A lower but statistically significant effect was observed when wettable microparticles of phenolic resin were used as the artificial food source. These results indicate that serotonin re-uptake inhibitors can interfere with the feeding processes of ciliates.
Oxidative Stress Response in the Seaweed Padina pavonica Associated with the Invasive Halimeda incrassata and Penicillus capitatus
Authors: Cerrato Marcello , Mir-Rosselló Pere , Ferriol Pere , Gil Lorenzo , Monserrat-Mesquida Margalida , Tejada Silvia , Pinya Samuel , Sureda Antoni
Published: February 2023

The western Mediterranean Sea is one of the most affected areas by the introduction of alien seaweed. Penicillus capitatus Lam. and the recently introduced Halimeda incrassata (J.Ellis) J.V.Lamour are tropical algae that invade native algae assemblies in the shallow sandy beds of Mallorca (Balearic Islands, western Mediterranean) where they are already settled. The aim of this study was to evaluate the effect of a potential competition between the invasive P. capitatus and H. incrassata and the native Padina pavonica (L.) Thivy, by means of biomarkers. P. pavonica samples were collected in their habitat without invasive species and areas where P. capitatus and H. incrassata cohabitated. P. pavonica densities were measured in the three investigated areas. The coexistence of the invasive algae and P. pavonica was related to a significant decrease in the densities of native algae when compared to the area without the invaders. Antioxidant enzymes, catalase and superoxide dismutase, and the reduced glutathione and polyphenols levels were significantly increased in P. pavonica in the presence of both invasive algae. Malondialdehyde, a marker of oxidative damage, and the reactive oxygen species production tended to increase in the presence of the alien species, but without significant differences. The obtained results show that the presence of P. capitatus and H. incrassata altered the normal vegetative growth of P. pavonica and caused an antioxidant response that led to a context of stress, but without evidence of oxidative damage. In conclusion, the presence of the alien H. incrassata and P. capitatus can be considered a source of competitive stress for P. pavonica, although further research regarding the increased water temperature is required.
A Review of Hydrodynamic and Machine Learning Approaches for Flood Inundation Modeling
Authors: Karim Fazlul , Armin Mohammed Ali , Ahmedt-Aristizabal David , Tychsen-Smith Lachlan , Petersson Lars
Published: February 2023

Machine learning (also called data-driven) methods have become popular in modeling flood inundations across river basins. Among data-driven methods, traditional machine learning (ML) approaches are widely used to model flood events, and recently deep learning (DL) approaches have gained more attention across the world. In this paper, we reviewed recently published literature on ML and DL applications for flood modeling for various hydrologic and catchment characteristics. Our extensive literature review shows that DL models produce better accuracy compared to traditional approaches. Unlike physically based models, ML/DL models suffer from the lack of using expert knowledge in modeling flood events. Apart from challenges in implementing a uniform modeling approach across river basins, the lack of benchmark data to evaluate model performance is a limiting factor for developing efficient ML/DL models for flood inundation modeling.
Euryhalinity and Geographical Origin Aid Global Alien Crayfish Invasions
Authors: Dobrzycka-Krahel Aldona , Fidalgo Maria Leonor
Published: February 2023

Salinity tolerance is a determinant of a narrow or wide distribution range of organisms. Crayfishes are important key species in many aquatic environments so require a better understanding of their ability to live in different saline regimes. We identified all alien crayfish and examined their habitats (freshwater and/or saline) and origins to test whether these factors predict their dispersal. We used contingency tables populated with raw frequency data with χ2—tests and assessed statistical significance at α of 0.05. We identified 21 alien crayfishes and we found that alien crayfish species were disproportionately freshwater (71%), with significantly lower proportions of euryhaline crayfishes inhabiting freshwater to saline environments (29%). Alien crayfishes also significantly disproportionally originate from America (67% of these taxa) when compared to all ‘other’ grouped regions (33%). In total, 36% of American crayfishes represent euryhaline species inhabiting freshwater to saline habitats against only 14% of crayfishes from all “other” grouped regions. This suggests that binomial euryhalinity/origin can help understand the potential of spread. We discussed obtained results with known experimental data on salinity tolerance, osmoregulation, growth, and reproduction of American alien crayfish. The paper will help in the management of crayfish spread.
Evolution of Water–Sediment Situation and Attribution Analysis in the Upper Yangtze River, China
Authors: Wang Hongxiang , Ma Yinchu , Hong Fengtian , Yang Huan , Huang Lintong , Jiao Xuyang , Guo Wenxian
Published: February 2023

River water and sand conditions are important factors affecting river morphology, biogeochemical processes and ecosystems. However, climate change and long-term human activities have changed the water–sediment conditions of rivers. This study combines the ecohydrological indicator range of the variation approach (IHA-RVA) and the genetic planning approach in order to dissect the water–sediment situation and its ecological response relationship in the upper Yangtze River. The synergistic effects of climate change and human activities on sediment–runoff were quantified based on the Budyko hypothesis and the sediment attribution decomposition method. The results showed that the interannual trend in sand transport decreased significantly compared to the runoff at each station in the upper Yangtze River, and that it began to change abruptly in 1985 and 1993, respectively (mean values of 56.8% and 70%, respectively); there were also different degrees of decreases in fish species diversity attributed to the combined effects of reduced rainfall and reservoir construction. The factors driving changes in watershed runoff were dominated by human activities (approximately 60%), while changes in sand transport were mainly driven by the sand production capacity in the watershed, both of which contributed more than 95%. The research process and results contribute to an in-depth understanding of the characteristics and driving mechanisms of river water and sand evolution under changing environments, and provide a scientific basis for watershed water resource management and ecological restoration.
Effect of Magnetized Brackish Water Drip Irrigation on Water and Salt Transport Characteristics of Sandy Soil in Southern Xinjiang, China
Authors: Wang Dongwang , Zhang Liang , Zhang Jinzhu , Li Wenhao , Li Haiqiang , Liang Yonghui , Han Yue , Luo Pengcheng , Wang Zhenhua
Published: February 2023

Xinjiang is short on freshwater resources and rich in ones. The unregulated use of brackish water for agriculture leads to the aggravation of secondary salinization in soil; however, magnetization can improve the quality of brackish water. To evaluate the effects of magnetized brackish water drip irrigation on the water and salt transport characteristics of sandy soil in southern Xinjiang, China, a field plot experiment was carried out in which irrigation water was treated using one or two water magnetization events at different magnetization intensities. Water was treated at five magnetization intensities: 1000, 2000, 3000, 4000, or 5000 Gs, while unmagnetized water was used as the control. The results showed that the magnetization of brackish water used in drip irrigation decreased the water transport rate and increased the water holding capacity of the root layer soil. Magnetized irrigation water enhanced the leaching of soil salt and reduced the rate of salt accumulation. Compared with the control, the salt content of the magnetized water-irrigated soil decreased by 15.0%~33.7%, and the salt storage in the magnetized water-irrigated soil decreased by 44.99%~86.78%. The lowest rate of salt accumulation (4.96%) was observed at a magnetization intensity of 3000 Gs. Magnetized water irrigation changed the composition and proportions of soil ions, and Na+, Cl−, and SO42− leaching from the soil increased. The effect of magnetizing the irrigation water twice was greater than that of one magnetization event. Magnetizing the water twice at an intensity of 3000 Gs led to the largest decrease in the relative percentage contents of Na+ and Cl−, which were 80.90% and 82.36%, respectively. The magnetization intensity had a significant effect on the soil carbon and nitrogen contents, which showed a trend of first increasing and then decreasing as the magnetization intensity rose. The total carbon content after irrigation with magnetized water increased by 13.48%~63.35%, and the total nitrogen content increased by 11.73%~147.96%. The magnetization treatment of irrigation water can therefore reduce the risk of soil salinization and reduce salinity stress on crops in arid regions, providing a new method for alleviating the shortage of freshwater resources in Xinjiang and a means to use brackish water safely while improving salinized soil.