bluuebunny/crossref_metadata_2025 huggingface dataset:
Topography and Soil Properties Determine Biomass and Productivity Indirectly via Community Structural and Species Diversity in Karst Forest, Southwest China
Authors: Zhang Lijin , Du Hu , Yang Zhiqi , Song Tongqing , Zeng Fuping , Peng Wanxia , Huang Guoqin
Published: June 2022

The forest ecosystem is an important part of the terrestrial ecosystem carbon sink, and its rate of biomass accumulation influences its carbon sink potential. Therefore, it is particularly important to understand the biomass and productivity of forest ecosystems, and their driving factors, especially in karst areas with a fragile ecological environment. We established a 2 ha plot in karst forest in southwest China, and investigated species composition, community structure, topography and soil nutrients in the years 2007 and 2017. In this analysis, the correlations between tree diversity and each factor were evaluated using a Pearson correlation analysis. In addition, the relationships between soil nutrients and topographies and their effects on productivity and biomass were further evaluated, either directly or indirectly, through species and structural diversity by using a structural equation model (SEM). The results showed that the number of individuals in each species decreased, and productivity was 1.76 Mg ha−1 yr−1, from 2007 to 2017. Species diversity was negatively correlated with biomass and positively correlated with productivity; structural diversity was negatively correlated with biomass and productivity, while structural diversity was negatively correlated with biomass and positively correlated with productivity. In addition, the effects of soil factors on biomass and productivity were significantly different: TN had a significant positive effect on productivity, while all soil factors except total nitrogen (TN) had significant positive effects on biomass. The structural equation results also showed that topographic and soil factors can directly affect productivity; structural diversity has a strong direct negative impact on biomass, while species diversity, structural diversity and biomass have similar direct positive impacts on productivity. Structural diversity was better than species diversity when explaining biomass accumulation. In conclusion, biotic and abiotic factors both influence forest productivity in karst forests in southwest China, and improving species diversity and community structure complexity is of great significance for forest management and productivity promotion. The research further improve the understanding of biomass and productivity in karst forest ecosystems, and their driving factors, which will provide relevant theoretical support for sustainable forest development in southwest karst.
An Optimal Dispatching Model for Integrated Energy Microgrid Considering the Reliability Principal–Agent Contract
Authors: Chen Biyun , Chen Yanni , Li Bin , Zhu Yun , Zhang Chi
Published: June 2022

As the increasing penetration of sustainable energy brings risks and opportunities for energy system reliability, at the same time, considering the multi-dimensional differentiation of users’ reliability demands can further explore the potential value of reliability resources in Integrated Energy Microgrid (IEM). To activate the reliability resources in a market-oriented perspective and flexibly optimize the operational reservation in dispatch, an optimal dispatching model in IEM considering reliability principal–agent contracts is proposed. We establish the reliability principal–agent mechanism and propose a cooperative gaming model of Integrated Energy Operator (IEO) and Integrated Energy User (IEU) based on the optimal dispatching model. At the upper level, the economic dispatching model of IEO is established to optimize the operation reservation, and the reliability principal–agent contract from users in the lower level would influence reliability improvement. Each IEU in the lower level maximizes its energy utilization and gives the corresponding reliability principal–agent incentives according to the reliability improvement degree and its actual demand. The bi-level model is solved by the KKT condition and strong duality theorem. A case study verifies the effectiveness of the proposed model in reducing the energy dispatch cost, improving the economic benefits of each participant, realizing the optimal allocation of reliability resources and optimizing the IEM energy structure, and the sensitivity analysis of dispatch cost with the user’s energy-using benefits is discussed.
A Study on Pedestrian–Vehicle Conflict at Unsignalized Crosswalks Based on Game Theory
Authors: Sun Xu , Lin Kun , Wang Yu , Ma Shuo , Lu Huapu
Published: June 2022

A dynamic game model based on multiple decision makers is developed to minimize pedestrian–vehicle conflicts at unsignalized crosswalks. The characteristics of pedestrians and drivers crossing the street are divided into traffic features, behavioral characteristics, and psychological factors, using data collected from a survey of pedestrian crossing behavior. Based on waiting delay and risk assessment, a utility model of pedestrian crossing choice behavior is presented, and a probability model for different phases of the waiting stage is developed by splitting the waiting process into three stages with pedestrian waiting duration. The payment function and the game model of pedestrian–vehicle conflict based on distinct previous decision makers are developed using game theory and “mixed strategy”, and they are resolved in equilibrium.
Learning Performance Prediction-Based Personalized Feedback in Online Learning via Machine Learning
Authors: Wang Xizhe , Zhang Linjie , He Tao
Published: June 2022

Online learning has become a vital option for ensuring daily instruction in response to the emergence of the COVID-19 epidemic. However, different from conventional massive online learning, inadequate available data bring challenges for instructors to identify underachieving students in school-based online learning, which may obstruct timely guidance and impede learning performance. Exploring small-sample-supported learning performance prediction and personalized feedback methods is an urgent need to mitigate these shortcomings. Consequently, considering the problem of insufficient data, this study proposes a machine learning model for learning performance prediction with additional pre-training and fine-tuning phases, and constructs a personalized feedback generation method to improve the online learning effect. With a quasi-experiment involving 62 participants (33 in experimental group and 29 in control group), the validity of the prediction model and personalized feedback generation, and the impact of the personalized feedback on learning performance and cognitive load, were evaluated. The results revealed that the proposed model reached a relatively high level of accuracy compared to the baseline models. Additionally, the students who learned with personalized feedback performed significantly better in terms of learning performance and showed a lower cognitive load.
Agroforestry Contributions to Urban River Rehabilitation
Authors: Delgado-Lemus Tzitzi Sharhí , Moreno-Calles Ana Isabel
Published: June 2022

The context of urban rivers is one of pollution of their courses, the degradation of riparian habitats, the loss of biodiversity, and the marginalization of the human populations that live next to them. Due to urban growth, the hydrological dynamics in entire basins and the hydromorphology of rivers are changing. This situation increases flooding, decreases the availability of water for human use, and disconnects the rivers from the dynamics of the city. Agroforestry is the integration of cultural, wild, and domesticated diversity with use, conservation, and restoration objectives. These practices in cities can contribute to addressing the problems mentioned. We analyze agroforestry practices and the socio-ecological contributions to urban river rehabilitation. We review 37 experiences worldwide. Agroforestry practices included in the review are trees and hedgerows; wetland agroforestry; aquatic, botanical, edible, educational, and rain gardens; bioswales; green parking lots; food forestry; vegetation in alleys and streets; vertical terrace walls, among others. Agroforestry contributes to efforts to solve urban river problems, improve water quality and access, restore riparian habitats, enhance river hydromorphology, support local economies, and create a river culture. We emphasize promoting multi-relational people–river interactions based on theoretical and practical frameworks that integrate diverse disciplines, perspectives, and experiences.
Performance Assessment of Natural Wastewater Treatment Plants by Multivariate Statistical Models: A Case Study
Authors: Gad Mahmoud , Abdo Sayeda M. , Hu Anyi , El-Liethy Mohamed Azab , Hellal Mohamed S. , Doma Hala S. , Ali Gamila H.
Published: June 2022

Waste stabilization ponds (WSPs) as natural wastewater treatment plants are commonly utilized for wastewater treatment due to their simple design, low cost, and low-skilled operator requirements. Large-scale studies assessing the performance of WSPs using multivariate statistical models are scarce. Therefore, this study was conducted to assess the performance of 16 full-scale WSPs regarding physicochemical parameters, algae, bacterial indicators, and pathogens (e.g., Cryptosporidium, Entamoeba histolytica) by using multivariate statistical models. The principal component analysis revealed that the chemical pollutants were removed significantly (p < 0.001) through the treatment stages of 16 WSPs, indicating that the treatment stages made a substantial change in the environmental parameters. The non-multidimensional scale analysis revealed that the treatment stages restructured the bacterial indicators significantly (p < 0.001) in the WSPs, implying that the bacterial indicators were removed with the progress of the treatment processes. The algal community exhibited a distinct pattern between the geographical location (i.e., upper WSPs versus lower WSPs) and different treatment stages (p < 0.001). Four out of the sixteen WSPs did not comply with the Egyptian ministerial decree 48/1982 for discharge in agriculture drainage; three of these stations are in lower Egypt (M.K., Al-Adlia, and Ezbet El-Borg), and one is in upper Egypt (Armant). The continuous monitoring of WSPs for compliance with regulatory guidelines with the aid of multivariate statistical models should be routinely performed.
Temporal and Spatial Changes in Vegetation Ecological Quality and Driving Mechanism in Kökyar Project Area from 2000 to 2021
Authors: Wang Ziyi , Bai Tingting , Xu Dong , Kang Juan , Shi Jian , Fang He , Nie Cong , Zhang Zhijun , Yan Peiwen , Wang Dingning
Published: June 2022

The “Kökyar Greening Project” in the suburb of Aksu, Xinjiang, is a model of large-area artificial afforestation in an environment of drought and water scarcity. As an important part of the “3-North Shelter Forest Program”, it plays an important role in promoting the economic development and the environmentally friendly construction of Aksu and even of the whole Xinjiang region. Based on multisource remote-sensing data and meteorological observation data, this study explored the temporal and spatial changes in the vegetation parameters (FVC, NPP, and VEQI) and the ecological parameters (RSEI and LULC) in the Kökyar Project Area from 2000 to 2021. Based on the Theil–Sen median and TSS-RESTREND, this study investigated the path of mutual influence among the FVC, NPP, VEQI, and RSEI, as well as their responses to climate change and human activities. The results show that: (1) from 2000 to 2021, the FVC, NPP, VEQI, and RSEI in the Kökyar Project Area showed a significant upward trend and showed the distribution characteristics of “high in the south and low in the north”. (2) Over the past 22 years, the RSEI has shown a significant increase with the FVC, NPP and VEQI (p < 0.001), indicating that the “Kökyar Greening Project” has achieved significant ecological benefits. (3) The changes in the vegetation parameters and RSEI in the Kökyar Project Area were dominated by human activities. (4) The Kökyar Project Area has caused great changes to the ecosystem pattern of the region, and the vegetation parameters and RSEI in the Kökyar Project Area have increased, mainly in the form of cropland and grassland expansion over the past 22 years.
Managing Phosphorus Availability from Organic and Inorganic Sources for Optimum Wheat Production in Calcareous Soils
Authors: Ahmad Manzoor , Ishaq Muhammad , Shah Wajid Ali , Adnan Muhammad , Fahad Shah , Saleem Muhammad Hamzah , Khan Fahim Ullah , Mussarat Maria , Khan Shadman , Ali Baber , Mostafa Yasser S. , Alamri Saad , Hashem Mohamed
Published: June 2022

In calcareous soils, wheat productivity is much lower due to improper nutrient management, especially phosphorus (P). Therefore, this study was conducted to manage P availability from various organic (Control, FYM and Sugar cane straw applied at the rate of 10 ton ha−1) and inorganic (Control, 100% rock phosphate (RP), 50% acidulated RP, 100% acidulated RP, single super phosphate (SSP) and diammonium phosphate (DAP)) sources applied at the rate of 90 kg P2O5 ha−1 in calcareous soil while using wheat as test crop. When averaged across the organic sources, SSP performed better in emergence m−2 (126), tillers m−2 (431), spikes m−2 (419), grains spikes−1 (61), plant height (95.1 cm), 1000-GW (40 g), biological yield (11,023 kg ha−1), grain yield (4022 kg ha−1), phosphorus use efficiency (10.5%), phosphorus in leaves at tillering (2.63 mg kg−1) and anthesis stage (2.50 mg kg−1), soil P at heading (1.73 mg kg−1) and post-harvest stage (1.56 mg kg−1) compared to the rest of the mineral sources. Similarly, among the organic sources, FYM performed better than others for all tested traits. Integration of inorganic P sources with organic manures further improved crop performance and post-harvest soil P content. Therefore, using 10 tons FYM ha−1 in integration to SSP or 100% acidulated RP at the rate of 90 kg P2O5 ha−1 is recommended for ensuring optimum wheat productivity under calcareous soils.
Comparing Sensory Experience Creation Process of Visitors with Hearing Impairment and General Visitors in Hong Kong Wetland Park
Authors: Chan Chung Shing , Shek Kwo Fung , Agapito Dora
Published: June 2022

Universal accessibility and barrier-free experience of public spaces such as parks are at the frontier of social sustainability and disability research. Such accessible and quality public spaces are characterized by enjoyable sensory stimuli and facilitating factors determining the process of sensory experience creation. Among visitors with sensory impairment such as different ranges of hearing loss, an understanding and a comparison of this process with that of general visitors is largely absent. This paper presents a comparative investigation of the sensory experience creation process between visitors with hearing impairment (HI) and that of general visitors in the Hong Kong Wetland Park. This study incorporates a series of field visits to the Wetland Park with a sample of 104 HI participants and their self-reported, questionnaire-based survey, in parallel with 279 general visitor surveys. Through an inter-group statistical comparison between HI sub-groups of severe hearing loss and mild hearing loss and general visitors who reported no hearing difficulty, the findings suggest three variables with significant difference, namely, experienced tactile sense, interactions with other visitors, and feelings of attachment to the Wetland Park. HI experience-based recommendations are categorized into park features and environment and programming and experience enhancement.
VisualRPI: Visualizing Research Productivity and Impact
Authors: Hung Chihli , Lin Wei-Chao
Published: June 2022

Research productivity and impact (RPI) is commonly measured through citation analysis, such as the h-index. Despite the popularity and objectivity of this type of method, it is still difficult to effectively compare a number of related researchers in terms of various citation-related statistics at the same time, such as average cites per year/paper, the number of papers/citations, h-index, etc. In this work, we develop a method that employs information visualization technology, and examine its applicability for the assessment of researchers’ RPI. Specifically, our prototype, a visualizing research productivity and impact (VisualRPI) system, is introduced, which is composed of clustering and visualization components. The clustering component hierarchically clusters similar research statistics into the same groups, and the visualization component is used to display the RPI in a clear manner. A case example using information for 85 information systems researchers is used to demonstrate the usefulness of VisualRPI. The results show that this method easily measures the RPI for various performance indicators, such as cites/paper and h-index.
Novel ICT System for Recycling and Eco-Shopping
Authors: Peng Wenjie , Su Daizhong
Published: June 2022

Recently, there has been a growing effort to reduce the environmental impact of products throughout their life cycle, particularly during the end-of-life (EoL) stage. To incentivise consumers’ recycling/reusing behaviours and enhance their environmental awareness, a novel ICT-based system for recycling and eco-shopping has been developed in this paper. The recycling of EoL products is conducted based on information-communication technologies to remotely monitor and manage the recycled products (such as electronics or household bio-wastes), enabling consumers’ recycling process over the Internet. Consumers are awarded the eco-credits, which can be used for various forms of eco-incentives, such as shopping discounts, tree planting donations, and exchanges for theatre and museum tickets. The eco-costs reflect the environmental impact of a product throughout its life cycle. The consumer is informed about the eco-costs through eco-shopping, which are displayed on a payment receipt. Both eco-costs and eco-credits are recorded in the consumer’s eco-account. To develop the recycling and eco-shopping system, multiple information-communication technologies are utilised, such as hardware digital monitoring/control, Internet-based communication services, traceability media (bar-code and QR code), user identity recognition and privacy protection, and multi-language supports. A case study is conducted, including online tracking of the recycling process and then implementing incentive activities with the eco-credits and eco-costs. The system has been successfully validated via illustrating recycling, eco-shopping, and eco-incentives in public places (e.g., schools, urban cultural centres), as well as promoting the consumer’s participation in recycling and enhancing their environmental awareness, which proved the successful implementation of the novel contribution of this research.
Evolution and Effects of the Social–Ecological System over 600 Years in Guizhou Province, China
Authors: Teng Hao , Zhao Yuluan , Gong Ni
Published: June 2022

Understanding the regime shifts of Social–Ecological Systems (SES) and their local effects and driving factors over a long period of time is significant for future sustainability. We provide a perspective on the processes unfolding over time in order to identify the regime shifts of an SES based on changes in the relationships between the SES components. In addition, we investigate their driving factors and local effects. The applicability of this approach is demonstrated by analyzing the evolution of the SES in Guizhou Province, China, over the past 600 years. Six evolutionary phases are identified: the slow expansion of cultivation, the rapid expansion of cultivation, the continuous expansion of cultivation, the slower expansion of cultivation, the transformation of ecological protection driven by returning farmland to forest, and green development driven by urbanization. Our study establishes the empirical relationship between the state (phase) of the SES and its driving factors and effects. This study on the evolution, driving factors, and effects of the SES in Guizhou Province, China, provides an important reference for long-term regional planning and policy making.
A New Approach to the Viable Ranking of Zero-Carbon Construction Materials with Generalized Fuzzy Information
Authors: Krishankumar Raghunathan , Mishra Arunodaya Raj , Cavallaro Fausto , Zavadskas Edmundas Kazimieras , Antuchevičienė Jurgita , Ravichandran Kattur Soundarapandian
Published: June 2022

This paper aims to put forward an integrated decision approach, with generalized fuzzy information for the viable selection of zero- and low-carbon materials for construction. In countries such as India, the construction sector accounts for high pollution levels and high carbon emissions. To restore sustainability and eco-friendliness, the adoption of low-carbon materials for construction is essential and, owing to the multiple attributes associated with the selection, the problem is viewed as a multi-criteria decision-making problem. Earlier studies on material selection have faced certain issues, such as the following: (i) the modeling of uncertainty is an ordeal task; (ii) the flexibility given to experts during preference elicitation is lacking; (iii) the interactions among the criteria are not well captured; and (iv) a consideration of the criteria type is crucial for ranking. To alleviate these issues, the primary objective of this paper was to develop an integrated framework, with decision approaches for material selection in the construction sector that promote sustainability. To this end, generalized fuzzy information (GFI) was adopted as the preference style as it is both flexible and has the ability to model uncertainty from the following three dimensions: membership, non-membership, and hesitancy grades. Furthermore, the CRITIC approach was extended to the GFI context for calculating criteria weights objectively, by effectively capturing criteria interactions. Furthermore, the COPRAS technique was put forward with the GFI rating for ranking zero- and low-carbon construction materials, based on diverse attributes. The usefulness of the framework was demonstrated via a case example from India and the results showed that the design cost, the financial risk, safety, water pollution, and land contamination were the top five criteria, with blended cement, mud bricks, and bamboo as the top three material alternatives for zero- and low-carbon construction. Finally, a sensitivity analysis and a comparison with other methods revealed the theoretical positives of this framework’s robustness and consistency–but it also revealed some limitations of the proposed framework.
Development of Artificial Geochemical Filter to Treat Acid Mine Drainage for Safe Disposal of Mine Water in Salt Range Portion of Indus Basin—A Lab to Pilot Scale Study
Authors: Jabbar Khan Abdul , Akhter Gulraiz , Ge Yonggang , Shahid Muhammad , Rahman Khalil Ur
Published: June 2022

Several passive and active treatment approaches are available for dealing with Acid Mine Drainage (AMD). Despite a range of newly emergent techniques for the treatment of AMD, pH control using low-cost neutralizing reagents has been the most common and economical technique for the treatment of AMD. Thereby, owing to their widespread availability, ease of use, and cost effectiveness, active treatment techniques utilizing calcium-based reagents (particularly limestone) are considered the prime choice for treating AMD. Limestone is a well-known option worldwide for AMD neutralization thanks to its easy availability, low cost, and excellent efficiency. Generally, acidity is reduced by the presence of CaCO3 and alkalinity (i.e., HCO−3) is increased. pH can be increased from 2.5 to 7.5 by using limestone as a treating agent, resulting in the precipitation of heavy metals, which can then be removed by precipitation and sorption. Wargal limestone, a well-known limestone from the Salt Range, Indus basin, Pakistan, has high potential for neutralization and treatment of PTEs present in mine water or AMD. After selecting a suitable neutralization material at pilot scale, two different filters were designed using selected Wargal limestone: Filter 1 A (Oxic-based, Vertical bed-type Wargal Limestone Filter) and Filter 1 B (Anoxic-based Vertical bed-type Wargal Limestone Filter with Compost). The pH of the AMD under study was elevated from 2.5 to 7.65 and 7.60, respectively, in uncoated and coated media of limestone. Although the neutralization potential decreased over time, as an overall phenomenon the Ca concentration and net alkalinity (280–360 mg/L) were increased with the removal of metals such as Fe, Cu, Pb and Mn. The respective removal efficiency of these metals was 98%, 99%, 99% and 60%, with a threshold residence time of 5 h. in all columns of the developed filters.
Recent Deep Learning Methodology Development for RNA–RNA Interaction Prediction
Authors: Fang Yi , Pan Xiaoyong , Shen Hong-Bin
Published: June 2022

Genetic regulation of organisms involves complicated RNA–RNA interactions (RRIs) among messenger RNA (mRNA), microRNA (miRNA), and long non-coding RNA (lncRNA). Detecting RRIs is beneficial for discovering biological mechanisms as well as designing new drugs. In recent years, with more and more experimentally verified RNA–RNA interactions being deposited into databases, statistical machine learning, especially recent deep-learning-based automatic algorithms, have been widely applied to RRI prediction with remarkable success. This paper first gives a brief introduction to the traditional machine learning methods applied on RRI prediction and benchmark databases for training the models, and then provides a recent methodology overview of deep learning models in the prediction of microRNA (miRNA)–mRNA interactions and long non-coding RNA (lncRNA)–miRNA interactions.
In Vitro Toxicity Evaluation of Cyanotoxins Cylindrospermopsin and Microcystin-LR on Human Kidney HEK293 Cells
Authors: Diez-Quijada Leticia , Puerto María , Gutiérrez-Praena Daniel , Turkina Maria V. , Campos Alexandre , Vasconcelos Vitor , Cameán Ana M. , Jos Ángeles
Published: June 2022

Cyanotoxins are secondary metabolites produced by different types of cyanobacteria. Among them, Cylindrospermopsin (CYN) and Microcystins (MCs) stand out due to their wide geographical distribution and toxicity in various organs, including the kidney, which is involved in their distribution and elimination. However, the renal toxicity caused by CYN and MCs has hardly been studied. The aim of this work was to assess the cytotoxicity effects caused by CYN and MC-LR in the renal cell line HEK293, and for the first time, the influence of CYN on the gene expression of selected genes in these cells by quantitative real-time PCR (qRT-PCR). CYN caused an upregulation in the gene expression after exposure to the highest concentration (5 µg/mL) and the longest time of exposure (24 h). Moreover, shotgun proteomic analysis was used to assess the molecular responses of HEK293 cells after exposure to the individuals and combinations of CYN + MC-LR. The simultaneous exposure to both cyanotoxins caused a greater number of alterations in protein expression compared to single toxins, causing changes in the cellular, lipid and protein metabolism and in protein synthesis and transport. Further studies are needed to complete the toxicity molecular mechanisms of both CYN and MC-LR at the renal level.
Metatranscriptomic Comparison of Viromes in Endemic and Introduced Passerines in New Zealand
Authors: French Rebecca K. , Filion Antoine , Niebuhr Chris N. , Holmes Edward C.
Published: June 2022

New Zealand/Aotearoa has many endemic passerine birds vulnerable to emerging infectious diseases. Yet little is known about viruses in passerines, and in some countries, including New Zealand, the virome of wild passerines has been only scarcely researched. Using metatranscriptomic sequencing we characterised the virome of New Zealand endemic and introduced species of passerine. Accordingly, we identified 34 possible avian viruses from cloacal swabs of 12 endemic and introduced bird species not showing signs of disease. These included a novel siadenovirus, iltovirus, and avastrovirus in the Eurasian blackbird (Turdus merula, an introduced species), song thrush (Turdus philomelos, introduced) and silvereye/tauhou (Zosterops lateralis, introduced), respectively. This is the first time novel viruses from these genera have been identified in New Zealand, likely reflecting prior undersampling. It also represents the first identification of an iltovirus and siadenovirus in blackbirds and thrushes globally. These three viruses were only found in introduced species and may pose a risk to endemic species if they were to jump species boundaries, particularly the iltoviruses and siadenoviruses that have a prior history of disease associations. Further virus study and surveillance are needed in New Zealand avifauna, particularly in Turdus populations and endemic species.
Efficacy of Licensed Monoclonal Antibodies and Antiviral Agents against the SARS-CoV-2 Omicron Sublineages BA.1 and BA.2
Authors: Fiaschi Lia , Dragoni Filippo , Schiaroli Elisabetta , Bergna Annalisa , Rossetti Barbara , Giammarino Federica , Biba Camilla , Gidari Anna , Lai Alessia , Nencioni Cesira , Francisci Daniela , Zazzi Maurizio , Vicenti Ilaria
Published: June 2022

Newly emerging SARS-CoV-2 variants may escape monoclonal antibodies (mAbs) and antiviral drugs. By using live virus assays, we assessed the ex vivo inhibition of the B.1 wild-type (WT), delta and omicron BA.1 and BA.2 lineages by post-infusion sera from 40 individuals treated with bamlanivimab/etesevimab (BAM/ETE), casirivimab/imdevimab (CAS/IMD), and sotrovimab (SOT) as well as the activity of remdesivir, nirmatrelvir and molnupiravir. mAbs and drug activity were defined as the serum dilution (ID50) and drug concentration (IC50), respectively, showing 50% protection of virus-induced cytopathic effect. All pre-infusion sera were negative for SARS-CoV-2 neutralizing activity. BAM/ETE, CAS/IMD, and SOT showed activity against the WT (ID50 6295 (4355–8075) for BAM/ETE; 18,214 (16,248–21,365) for CAS/IMD; and 456 (265–592) for SOT) and the delta (14,780 (ID50 10,905–21,020) for BAM/ETE; 63,937 (47,211–79,971) for CAS/IMD; and 1103 (843–1334) for SOT). Notably, only SOT was active against BA.1 (ID50 200 (37–233)), whereas BA.2 was neutralized by CAS/IMD (ID50 174 (134–209) ID50) and SOT (ID50 20 (9–31) ID50), but not by BAM/ETE. No significant inter-variant IC50 differences were observed for molnupiravir (1.5 ± 0.1/1.5 ± 0.7/1.0 ± 0.5/0.8 ± 0.01 μM for WT/delta/BA.1/BA.2, respectively), nirmatrelvir (0.05 ± 0.02/0.06 ± 0.01/0.04 ± 0.02/0.04 ± 0.01 μM) or remdesivir (0.08 ± 0.04/0.11 ± 0.08/0.05 ± 0.04/0.08 ± 0.01 μM). Continued evolution of SARS-CoV-2 requires updating the mAbs arsenal, although antivirals have so far remained unaffected.
Vaccination and Transmission Risk during the Outbreak of B.1.1.529 (Omicron)
Authors: Grüne Barbara , Grüne Jakob , Kossow Annelene , Joisten Christine
Published: June 2022

Since its first description in November 2021, the SARS-CoV-2 variant of concern Omicron (B.1.1.529) has emerged as the dominant strain in the COVID-19 pandemic. To date, it remains unclear if boosted vaccination protects against transmission. Using data from the largest German Public Health Department, Cologne, we analyzed breakthrough infections in booster-vaccinated infected persons (IP; booster-vaccinated group (BVG); n = 202) and fully vaccinated, not boosted SARS-COV2-positive patients (>3 month after receiving the second dose; unboosted, fully vaccinated group (FVG); n = 202) to close contacts compared to an age- and sex-matched unvaccinated control group (UCG; n = 202). On average, IPs had 0.42 ± 0.52 infected contacts in relation to the total number of contacts in the BVG vs. 0.57 ± 0.44 in the FVG vs. 0.56 ± 0.43 in the UVG (p = 0.054). In the median test, pairwise comparison revealed a significant difference between the BVG and both other groups; no difference was found between the fully vaccinated and the unvaccinated control group. Now, these findings must be verified in larger samples, considering the role of Omicron subvariants and the vaccination status of the contact person. However, the importance of the booster vaccination in breaking possible chains of infection in the immune escape variant Omicron is obvious.
Mercury Accumulation in a Stream Ecosystem: Linking Labile Mercury in Sediment Porewaters to Bioaccumulative Mercury in Trophic Webs
Authors: Xu Xiaoyu , Bryan Albert L. , Parks Jasmine R. , Gibson Kara N.
Published: June 2022

Mercury (Hg) deposition and accumulation in the abiotic and biotic environments of a stream ecosystem were studied. This study aimed to link labile Hg in porewater to bioaccumulative Hg in biota. Sediment cores, porewaters, and biota were sampled from four sites along the Fourmile Branch (SC, USA) and measured for total Hg (THg) and methyl-Hg (MHg) concentrations. Water quality parameters were also measured at the sediment–water interface (SWI) to model the Hg speciation. In general, Hg concentrations in porewaters and bulk sediment were relatively high, and most of the sediment Hg was in the solid phase as non-labile species. Surface sediment presented higher Hg concentrations than the medium and bottom layers. Mercury methylation and MHg production in the sediment was primarily influenced by sulfate levels, since positive correlations were observed between sulfate and Hg in the porewaters. The majority of Hg species at the SWI were in non-labile form, and the dominant labile Hg species was complexed with dissolved organic carbon. MHg concentrations in the aquatic food web biomagnified with trophic levels (biofilm, invertebrates, and fish), increasing by 3.31 times per trophic level. Based on the derived data, a modified MHg magnification model was established to estimate the Hg bioaccumulation at any trophic level using Hg concentrations in the abiotic environment (i.e., porewater).
Removal of Iron(II) from Effluents of Steel Mills Using Chemically Modified Pteris vittata Plant Leaves Utilizing the Idea of Phytoremediation
Authors: Khan Qaiser , Zahoor Muhammad , Salman Syed Muhammad , Wahab Muhammad , Khan Farhat Ali , Gulfam Naila , Zekker Ivar
Published: June 2022

Dargai District Malakand, Pakistan, is a tax-free zone that attracts many industrialists to install their plants in this area. Along with other industries, a number of steel mills are polluting the natural environment of this locality. This study aimed to evaluate heavy metals levels in steel mills effluents and fabricate an efficient adsorbent from the leaves of plants growing on the banks of the drainage lines of the industries and having high phytoremediation capabilities, through chemical modifications. Initially, the effluents were analyzed for heavy metal concentrations, then the leaves of a plant (Pteris vittata) with better phytoremediation capability were chemically modified. The leaves of Pteris vittata were crushed into a fine powder, followed by chemical modification with HNO3, then washed with distilled water, neutralized with NaOH and finally activated through calcium chloride to enhance its biosorption ability, abbreviated as CMPVL. Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), surface area analyzer, energy dispersive X-ray spectroscopy (EDX), and thermal gravimetric analysis (TGA) were used to characterize the CMPVL. The modified leaves in the powdered form were then used for the reclamation of Fe(II) present in the effluents of the mentioned industries. Batch biosorption tests were performed under varied physicochemical conditions of pH (2–9), contact time (10–140 min), temperature (293–333 K), biosorbent dose (0.01–0.13 g), and initial metal concentration (20–300 mg L−1) to optimize the removal of the selected metal. Langmuir, Jovanovic, Freundlich, Temkin, and Harkins–Jura isotherm models were used to assess the equilibrium data. With a high R2 value of 0.977, the Langmuir model offered an excellent match to the equilibrium data. The pseudo-first order, pseudo-second order, power function, intraparticle diffusion, and Natarajan–Khalaf models were applied to experimental kinetics data. With R2 values of 0.999, the pseudo-second order model well fitted the obtained data. The Van’t Hoff equation was used to calculate ΔH°, ΔS° and ΔG° of Fe(II) sorption on CMPVL. The ∆H° and ∆G° were negative, whereas ΔS° was positive, suggesting that the biosorption process was exothermic, favorable, and spontaneous. The selected plant leaves were found to be efficient in the reclamation of iron from the industrial effluents (as the plant has a high natural capability for remediating the selected metal ion) after chemical modification and may be used as an alternative to activated carbon as being a low-cost material and a high phytoremediator of iron metal. Such natural phenomena of phytoremediation should be utilized in obtaining efficient adsorbents for other metals as well.
Projection of Future Water Resources Carrying Capacity in the Huang-Huai-Hai River Basin under the Impacts of Climate Change and Human Activities
Authors: Xie Mingming , Zhang Chengfeng , Zhang Jianyun , Wang Guoqing , Jin Junliang , Liu Cuishan , He Ruimin , Bao Zhenxin
Published: June 2022

Water resources are essential for human beings. It is of significance to project future water resources carrying capacity for water resources planning and management. In this study, the Huang-Huai-Hai River Basin (HHHRB), where the contradiction between humans and water is prominent in China, is selected as the study area. The fuzzy comprehensive evaluation model of regional water resources carrying capacity is constructed, the variation characteristics of water resources affected by climate change are analyzed based on the Budyko-Fu model, and considering the influence of transit water resources and water diversion projects, the future water resources carrying capacity in HHHRB under four future climate scenarios in CMIP6 is projected. The results indicate that: (1) On the whole, the carrying capacity of water resources in HHHRB is weak, and the spatial difference is great. (2) Under the background of climate change in the future, precipitation, temperature, and water resources in HHHRB all show increasing trends with changes of 0.90–12.59%, 1.22–1.80 °C, and 13.12–34.29%. (3) Under the background of global change, the water resources carrying capacity of most prefecture-level cities in HHHRB will be greatly improved in the future, and the spatial distributions of change rates among different climate scenarios are relatively consistent. (4) The construction of water diversion projects such as the South-to-North Water Diversion Project has played an obvious role in improving the carrying capacity of water resources. The research results can provide important scientific and technological support for the rational allocation of water resources in the basin under the background of global change.
Governance and Practices for Achieving Sustainable and Resilient Urban Water Services
Authors: Laitinen Jyrki , Katko Tapio S. , Hukka Jarmo J. , Juuti Petri , Juuti Riikka
Published: June 2022

Urban water services can be considered a part of municipal services, including the technical solution from water source to water treatment and distribution, and also wastewater collection, treatment, and discharge back to natural waters. The main aspect is how comprehensive water services concerning the whole society should be considered in urban development. This article emphasizes the necessary role of water services in community technical services and analyzes its critical functions. To keep urban water services on a sound environmental and health level even in externally or internally changing situations is considered sustainable and resilient. In our study, we used sequential PESTEL SWOT analysis to review the results of previous studies. The conclusions and recommendations are based on practices and governance of urban water services in Finland. Furthermore, the significance of water services for the economic development of a community cannot be ignored.
Simple ETo-Based Rules for Irrigation Scheduling by Smallholder Vegetable Farmers in Laos and Cambodia
Authors: McPhee John , Eberhard Jochen , Melland Alice , Uddin Jasim , Dunn Lucinda , Hin Sarith , Lim Vanndy , Touch Veasna , Sisouvanh Phimmasone , Somphou Inthong , Vilayphone Tounglien , Mounsena Phaythoune , Ives Stephen
Published: June 2022

Hand-held hoses and watering cans are widely used by smallholder farmers to irrigate vegetables in Cambodia and Laos. Overwatering is common. Technology change (e.g., low-pressure drip irrigation) has been used to improve irrigation efficiency but can be unaffordable for many smallholder farmers. The purpose of this study was to identify an appropriate method of predicting crop water demand, develop and field-test improved irrigation schedules for smallholder leafy vegetable farming based on that method, and then develop extension tools to communicate the schedules to smallholder farmers. Improved irrigation schedules for leafy vegetables were developed based on a crop water use prediction technique that is well established (the Penman–Monteith method) but beyond the capacity of smallholder farmers to implement without access to simple aids. Compared to conventional practice, the method approximately halved water and labour use and improved irrigation water productivity 2–3 fold in field research and demonstration trials. Simplified extension tools to assist smallholder farmers with practice change were developed. This work showed that significant efficiencies could be gained through improved irrigation scheduling without changing application technology.
Seasonal Variation of Drinking Water Quality and Human Health Risk Assessment: A Case Study in Rural Village of the Eastern Cape, South Africa
Authors: Mandindi Wendy Zimkhitha , Nyaba Luthando , Mketo Nomvano , Nomngongo Philiswa Nosizo
Published: June 2022

Contamination of drinking water by metals remains a global threat to living organisms. Therefore, the current study describes variations of metal occurrence, water quality and human health risk assessment between the dry and wet seasons of a rural village located in the Eastern Cape Province, South Africa. The concentrations of major and trace metals were determined in drinking water samples using inductively coupled plasma-optical emission spectrometry (ICP-OES). The physicochemical parameters, water quality index (WQI), total water hardness (TWH) and health risk assessment (hazard quotient: HQ and chronic daily intake: CDI) were evaluated seasonally. The TWH results showed that the water was very hard with water hardness values ranging between 415 and 442. The water also contained several metals and metalloids such as Al (2.18–3.36 mg L−1), As (0.17–0. 53 mg L−1), Cd (0.0068–0.0134 mg L−1), Cr (0.2481–0.2601 mg L−1), Mn (0.387–1.582 mg L−1), Pb (0.064–0.0802 mg L−1), Sb (0.0496–0.1391 mg L−1) and Se (0.075–0.148 mg L−1) that exceeded the SANS and WHO permissible limits in drinking water. The health risk assessment revealed that the water may cause noncarcinogenic and carcinogenic health effects due to the presence of As, Cr, Sb, Tl and V in water samples, while the water quality index revealed that the water was of very poor quality.
Water Ecotourism Route Recommendation Model Based on an Improved Cockroach Optimization Algorithm
Authors: Zhou Xiao , Chen Lingyu , Su Mingzhan , Tian Jiangpeng
Published: June 2022

Aiming to address the problems of the current research on water ecotourism routes, a water ecotourism route recommendation model based on an improved cockroach optimization algorithm is proposed. The aim is to recommend the tour routes with the lowest exhaust emissions. Firstly, depending on tourists’ once-visited water scenic spots, a scenic spot recommendation model based on the improved item-based collaborative filtering algorithm is set up. Then, by combining the recommended scenic spots and integrating the random transportation modes selected by tourists, a tour route recommendation model based on an improved cockroach optimization algorithm is constructed, which can output the tour route that produces the lowest exhaust emissions. Finally, The sample experiment shows that, on the basis of combining with the multivariate random transportation modes, the proposed algorithm has greater advantages than the tour routes planned by the traditional electronic maps, as it can output the tour routes with the lowest exhaust emissions, reduce the damage exhaust emissions cause in the urban water environments and to water resources, and effectively protect the urban water ecological environments.
A Comparison Study of the Nutrient Fluxes in a Newly Impounded Riverine Lake (Longjing Lake): Model Calculation and Sediment Incubation
Authors: Du Cheng , Pan Yan’an , Tang Wenzhong , Yue Qiansheng , Zhang Hong
Published: June 2022

Diffusion flux is an essential tool to estimate the contribution of internal nitrogen and phosphorus in eutrophic lakes. There are mainly two methods, i.e., model calculation based on in-situ porewater sampling and water quality monitoring in laboratory incubation. The results obtained by the two methods are rarely compared, decreasing the validity of internal contribution and following management strategies. In this study, sediment samples were collected from a lake in China, then the fluxes were estimated by model calculation and laboratory incubation. The results show that there is an order of magnitude difference in the fluxes measured by these two methods. The mean values of ammonia (NH4+-N) and soluble reactive phosphate (SRP) obtained from the model calculations were 24.4 and 1.30, respectively. The mean values of NH4+-N and SRP obtained in the undisturbed group of sediment incubation were 7.84 and 5.47, respectively, and in the disturbed group of sediment incubation were 16.2 and 4.06, respectively. Sediment incubation is a combination of multiple influencing factors to obtain fluxes, while porewater model is based on molecular diffusion as the theoretical basis for obtaining fluxes. According to the different approaches of the two methods, sediment incubation is recommended as a research tool in lake autochthonous release management when the main objective is to remove pollution, while the porewater model is recommended as a research tool when the main objective is to control pollution. When assessing the diffusive flux of nitrogen, it is recommended to choose the stable form of total dissolved nitrogen to discuss the flux results.
PEMANFAATAN MEDIA PEMBELAJARAN MULTIMEDIA DENGAN ANDROID TV PADA TAMAN PINTAR “TUNAS BANGSA” MANYARAN SEMARANG
Authors: Supriyanto Aji , Razaq Jeffry Alfa , Budiarso Zuly , Nugroho Isworo
Published: June 2022

Taman pintar “Tunas Bangsa” saat ini telah menyelenggarakan berbagai macam kegiatan termasuk Kegiatan Belajar Masyarakat (KBM). Namun demikian masih banyak fasilitas KBM yang belum memadai, termasuk belum tersedianya perangkat teknologi pembelajaran. Kendalanya aktifitas pembelajaran menjadi kurang  efektif, sehingga kurang menarik minat belajar terutama siswa PAUD, anak, dan remaja yang tergabung dalam komunitas tersebut. Tujuan pengabdian ini adalah melakukan pendampingan instalasi perangkat  Android TV, internet, dan pendukungnya, dilanjutkan dengan pelatihan pembuatan materi ajar multimedia sederhana yang dapat dterapkan pada perangkat tersebut.  Metodenya yaitu melakukan survei analisis situasi, persiapan kebutuhan perangkat pembelajaran dan pelatihan, pendampingan instalasi Android TV dan internet, dan pelatihan multimedia sederhana dengan MS-Powerpoint, serta monitoring dan evaluasi pelaksanaan kegiatan. Hasilnya, instalasi perangkat multimedia berbasis Android TV telah terlaksana dan dapat digunakan dalam proses pembelajaran. Setelah mendapat pendampingan dan pelatihan, mitra telah dapat mengoperasikan  perangkat, dan dapat mengunakan aplikasi multimedia sederhana pada proses pembelajaran dengan perangkat Android TV.