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Background: The grief that accompanies witnessing the death of a child puts health care professionals at risk of secondary trauma, burnout, and turnover when left unaddressed. Objective: Support staff well-being and promote resiliency. Methods: Descriptive implementation of a structured, peer-to-peer bereavement support program for intensive care unit (ICU) staff at a tertiary children's hospital. Results: Thirty-five virtual sessions were held over the period of one year.Through these sessions, participants shared perspectives and normalized reactions, and explored potential coping strategies. Post-session feedback surveys demonstrated the negative impact of a death on the personal or work life of ICU staff. Additionally, nearly all reported some level of burnout. Conclusions: The sessions were feasible and positively impacted staff coping and well-being. Barriers and facilitators to session attendance, as well as suggestions for improvement, were also explored. Implications for practice and future research are discussed. No clinical trial registration is applicable.

Alzheimer's disease (AD), an age-related progressive neurodegenerative disorder, exhibits reduced cognitive function with no cure to date. One of the reasons for AD is the accumulation of Amyloid-beta 42 (Aβ42) plaque(s) that trigger aberrant gene expression and signaling, which results in neuronal cell death by an unknown mechanism(s). Misexpression of human Aβ42 in the developing retina of Drosophila exhibits AD-like neuropathology. Small non-coding RNAs, microRNAs (miRNAs), post-transcriptionally regulate the expression of their target genes and thereby regulate different signaling pathways. In a forward genetic screen, we identified miR-277 (human ortholog is hsa-miR-3660) as a genetic modifier of Aβ42-mediated neurodegeneration. Loss-of-function of miR-277 enhances the Aβ42-mediated neurodegeneration. Whereas gain-of-function of miR-277 in the GMR > Aβ42 background downregulates cell death to maintain the number of neurons and thereby restores the retinal axonal targeting defects indicating the functional rescue. In addition, gain-of-function of miR-277 rescues the eclosion- and climbing assays defects observed in GMR > Aβ42 background. Thus, gain-of-function of miR-277 rescues both structurally as well as functionally the Aβ42-mediated neurodegeneration. Furthermore, we identified head involution defective (hid), an evolutionarily conserved proapoptotic gene, as one of the targets of miR-277 and validated these results using luciferase- and qPCR -assays. In the GMR > Aβ42 background, the gain-of-function of miR-277 results in the reduction of hid transcript levels to one-third of its levels as compared to GMR > Aβ42 background alone. Here, we provide a novel molecular mechanism where miR-277 targets and downregulates proapoptotic gene, hid, transcript levels to rescue Aβ42-mediated neurodegeneration by blocking cell death. These studies shed light on molecular mechanism(s) that mediate cell death response following Aβ42 accumulation seen in neurodegenerative disorders in humans and provide new therapeutic targets for neurodegeneration., (© 2024. The Author(s).)

Amplification of DNA from soil is often inhibited by co-purified contaminants. A rapid, inexpensive, large-scale DNA extraction method involving minimal purification has been developed that is applicable to various soil types (1). DNA is also suitable for PCR amplification using various DNA targets. DNA was extracted from 100g of soil using direct lysis with glass beads and SDS followed by potassium acetate precipitation, polyethylene glycol precipitation, phenol extraction and isopropanol precipitation. This method was compared to other DNA extraction methods with regard to DNA purity and size.

The pathology of Alzheimer's disease involves a long preclinical period, where the characteristic clinical symptoms of the changes in the brain are undetectable. During the preclinical period, homeostatic mechanisms may help prevent widespread cell death. Evidence has pointed towards selective cell death of diseased neurons playing a potentially protective role. As the disease progresses, dysregulation of signaling pathways that govern cell death contributes to neurodegeneration. Aberrant activation of the c-Jun N-terminal kinase pathway has been established in human and animal models of Alzheimer's disease caused by amyloid-beta 42- or tau-mediated neurodegeneration. Clonal mosaic studies in Drosophila that examine amyloid-beta 42 in a subset of neurons suggest complex interplay between amyloid-beta 42-expressing and wild-type cells. This review examines the role of c-Jun N-terminal kinase signaling in the context of cell competition and short-range signaling interactions between amyloid-beta 42-expressing and wild-type neurons. Cell competition is a conserved phenomenon regulating tissue integrity by assessing the fitness of cells relative to their neighbors and eliminating suboptimal cells. Somatic clones of amyloid-beta 42 that juxtapose genetically distinct neuronal cell populations show promise for studying neurodegeneration. Generating genetic mosaics with labeled clones of amyloid-beta 42- or tau-expressing and wild-type neurons will allow us to understand how short-range signaling alterations trigger cell death in neurons and thereby contribute to the progression of Alzheimer's disease. These approaches have the potential to uncover biomarkers for early Alzheimer's disease detection and new therapeutic targets for intervention., Competing Interests: None

Structure-activity relationship studies involving N-aryl-3-trifluoromethyl pyrido[1,2- a]benzimidazoles (PBI) identified several compounds possessing potent in vitro activities against the asexual blood, liver, and gametocyte stages of the Plasmodium parasite with no cross-resistance to chloroquine. Frontrunner lead compounds with good in vitro absorption, distribution, metabolism, and excretion (ADME) profiles were subjected to in vivo proof-of-concept studies in NMRI mice harboring the rodent P. berghei infection. This led to the identification of compounds 10 and 49, effecting 98% and 99.93% reduction in parasitemia with mean survival days of 12 and 14, respectively, at an oral dose of 4 × 50 mg/kg. In vivo pharmacokinetics studies on 10 revealed slow absorption, low volume of distribution, and low clearance profiles. Furthermore, this series displayed a low propensity to inhibit the human ether-a-go-go-related gene (hERG) potassium ion channel whose inhibition is associated with cardiotoxicity.

Further structure-activity relationship (SAR) studies on the recently identified pyrido[1,2-a]benzimidazole (PBI) antimalarials have led to the identification of potent, metabolically stable compounds with improved in vivo oral efficacy in the P. berghei mouse model and additional activity against parasite liver and gametocyte stages, making them potential candidates for preclinical development. Inhibition of hemozoin formation possibly contributes to the mechanism of action.

The article describes a method for extracting DNA from soil which involves minimal purification prior to polymerase chain reaction (PCR) amplification. A fundamental obstacle to understanding microbial ecology and diversity is the inability to culture microorganisms from environmental samples. Extraction methods investigated include sonication, enzymatic lysis and extraction from bacterial cells isolated from soil. A comparison of extraction methods using a single soil collected from Macquarie University is presented.

The enhanced biological phosphorus removal (EBPR) process is regularly used for the treatment of wastewater, but suffers from erratic performance. Successful EBPR relies on the growth of bacteria called polyphosphate-accumulating organisms (PAOs), which store phosphorus intracellularly as polyphosphate, thus removing it from wastewater. Metabolic models have been proposed which describe the measured chemical transformations, however genetic evidence is lacking to confirm these hypotheses. The aim of this research was to generate a metagenomic library from biomass enriched in PAOs as determined by phenotypic data and fluorescence in situ hybridisation (FISH) using probes specific for the only described PAO to date, "Candidafus Accumulibacter phosphatis". DNA extraction methods were optimised and two fosmid libraries were constructed which contained 93 million base pairs of metagenomic data. Initial screening of the library for 16S rRNA genes revealed fosmids originating from a range of non- pure-cultured wastewater bacteria. The metagenomic libraries constructed will provide the ability to link phylogenetic and metabolic data for bacteria involved in nutrient removal from wastewater. [ABSTRACT FROM AUTHOR]

There is an urgent need for the development of new antimalarial compounds. As a result of a phenotypic screen, several compounds with potent activity against the parasite Plasmodium falciparum were identified. Characterization of these compounds is discussed, along with approaches to optimise the physicochemical properties. The in vitro antimalarial activity of these compounds against P. falciparum K1 had EC50 values in the range of 0.09-29 μM, and generally good selectivity (typically >100-fold) compared to a mammalian cell line (L6). One example showed no significant activity against a rodent model of malaria, and more work is needed to optimise these compounds., (Copyright © 2015 The Authors. Published by Elsevier Masson SAS.. All rights reserved.)

The quantity and diversity of the microbial community in soil make it possibly the most difficult of all the natural ecosystems. It is thought to be challenging to culture up to 99% of the microorganisms in a given environment. The intricacy of microbial variety is impacted by numerous interconnected factors, including as soil structure, water content, biotic activity, pH, and fluctuations in climate. Environmental DNA isolation and purification are often the first steps in the soil metagenomic analysis process. Creating genomic DNA libraries and then using them for high-throughput sequencing or library screening are the main steps in the application of metagenomics. These genomic sequences are currently being used to advance our knowledge of the ecology and physiology of these bacteria as well as for new biotechnological and medicinal applications. To completely comprehend the intricacies involved in the operation of microbial communities and the interactions between different microorganisms within specific niches, metagenomic sequences are employed. This study focuses on the latest advancements in biotechnological approaches and procedures for identifying novel genes from uncultured microorganisms and intricate microbial habitats. [ABSTRACT FROM AUTHOR]

This paper uses uniquely detailed large-scale commercial real estate investment data to examine how financial markets perceived the attractiveness of investing in UK regions during the last two decades. Our analysis demonstrates that prior to the 2008 Global Financial Crisis all regions of the UK were perceived similarly in terms of risks, whereas the crisis engendered a flight to safety of capital into London. Other UK regions shifted rapidly into junk bond territory, and have remained there ever since. These asymmetric capital shocks led up to a profound and adverse shift in the subsequent productivity growth of the UK regional economies. [ABSTRACT FROM AUTHOR]

With the amendment to the German Climate Change Act in 2021, the Federal Government of Germany has set the target to become greenhouse gas neutral by 2045. Reaching this ambitious target requires multisectoral efforts, which in turn calls for interdisciplinary collaboration: the Net-Zero-2050 project of the Helmholtz Climate Initiative serves as an example of successful, interdisciplinary collaboration with the aim of producing valuable recommendations for action to achieve net-zero CO2 emissions in Germany. To this end, we applied an interdisciplinary approach to combining comprehensive research results from ten German national research centers in the context of carbon neutrality in Germany. In this paper, we present our approach and the method behind the interdisciplinary storylines development, which enabled us to create a common framework between different carbon dioxide removal and avoidance methods and the bigger carbon neutrality context. Thus, the research findings are aggregated into narratives: the two complementary storylines focus on technologies for net-zero CO2 emissions and on different framing conditions for implementing net-zero CO2 measures. Moreover, we outline the Net-Zero-2050 results emerging from the two storylines by presenting the resulting narratives in the context of carbon neutrality in Germany. Aiming at creating insights into how complementary and related expertise can be combined in teams across disciplines, we conclude with the project's lessons learned. This paper sheds light on how to facilitate cooperation between different science disciplines with the purpose of preparing joint research results that can be communicated to a specific audience. Additionally, it provides further evidence that interdisciplinary and diverse research teams are an essential factor for defining solution spaces for complex, interdisciplinary problems. [ABSTRACT FROM AUTHOR]

The climate mitigation potential of terrestrial carbon dioxide removal (tCDR) methods depends critically on the timing and magnitude of their implementation. In our study, we introduce different measures of efficiency to evaluate the carbon removal potential of afforestation and reforestation (AR) and bioenergy with carbon capture and storage (BECCS) under the low-emission scenario SSP1-2.6 and in the same area. We define efficiency as the potential to sequester carbon in the biosphere in a specific area or store carbon in geological reservoirs or woody products within a certain time. In addition to carbon capture and storage (CCS), we consider the effects of fossil fuel substitution (FFS) through the usage of bioenergy for energy production, which increases the efficiency through avoided CO2 emissions. These efficiency measures reflect perspectives regarding climate mitigation, carbon sequestration, land availability, spatiotemporal dynamics, and the technological progress in FFS and CCS. We use the land component JSBACH3.2 of the Max Planck Institute Earth System Model (MPI-ESM) to calculate the carbon sequestration potential in the biosphere using an updated representation of second-generation bioenergy plants such as Miscanthus. Our spatially explicit modeling results reveal that, depending on FFS and CCS levels, BECCS sequesters 24–158 GtC by 2100, whereas AR methods sequester around 53 GtC on a global scale, with BECCS having an advantage in the long term. For our specific setup, BECCS has a higher potential in the South American grasslands and southeast Africa, whereas AR methods are more suitable in southeast China. Our results reveal that the efficiency of BECCS to sequester carbon compared to "nature-based solutions" like AR will depend critically on the upscaling of CCS facilities, replacing fossil fuels with bioenergy in the future, the time frame, and the location of tCDR deployment. [ABSTRACT FROM AUTHOR]

Purpose: In 2020, mining activity by Rio Tinto destroyed rock caves in Western Australia's Juukan Gorge that are considered sacred sites by the First Nation Peoples of that area, the Puutu Kunti Kurrama and Pinikura (PKKP) Peoples. This paper examines the public response to the damage caused at this culturally sensitive site and identifies cultural heritage protection strategies that emerged in the aftermath of this catastrophic event. Design/methodology/approach: This research applies a qualitative case study method and analysis of open-sourced official policy documents, media reports and published institutional statements. Findings: The research identified specific cultural heritage protection strategies, including stakeholder-driven advocacy and shared values approach to business practices to help foster a greater appreciation of the connections between people, objects and lands. Whilst the mining activities were considered lawful, significant gaps in the legislation to protect heritage sites were also exposed. Originality/value: Using a recent case that occurred in 2020, this paper unpacks how the motivations for accessing minerals can override cultural sensibilities and legal/ethical frameworks established to protect cultural heritage. This paper brings to light the liabilities associated with the mining industry when operating in a culturally significant environment where appropriate due diligence to manage cultural heritage is not thoroughly applied. The paper highlights the role the community can play in demanding improved corporate social responsibility which can, in turn, act as a strategy for cultural heritage protection. [ABSTRACT FROM AUTHOR]

This study investigates the impact of organic (OF) and conventional farming (CF) on soil fungal communities in banana monoculture plantations on Madeira Island. We hypothesized that OF promotes beneficial fungal groups over harmful ones, sustaining soil health. Soil samples were collected from six plantations (three OF and three CF) for ITS amplicon sequencing to assess fungal diversity. Results showed that OF significantly enhanced fungal alpha-diversity (Shannon–Wiener index) and Evenness. The phylum Ascomycota dominated OF systems, while Basidiomycota prevailed in CF. Mortierella, a beneficial genus, was abundant in OF and is observed in CF but was less evident, being the genus Trechispora the most well represented in CF agrosystems. Additionally, OF was associated with higher soil pH and Mg levels, which correlated positively with beneficial fungal groups. Functional analysis revealed that OF promoted saprotrophic fungi, crucial for the decomposition of organic matter and nutrient cycling. However, both systems exhibited low levels of arbuscular mycorrhizal fungi, likely due to high phosphorus levels. These findings suggest that organic practices can enhance soil fungal diversity and health, although attention to nutrient management is critical to further improving soil–plant–fungi interactions. [ABSTRACT FROM AUTHOR]

Previously reported pyrrolones, such as TDR32570, exhibited potential as antimalarial agents; however, while these compounds have potent antimalarial activity, they suffer from poor aqueous solubility and metabolic instability. Here, further structure-activity relationship studies are described that aimed to solve the developability issues associated with this series of compounds. In particular, further modifications to the lead pyrrolone, involving replacement of a phenyl ring with a piperidine and removal of a potentially metabolically labile ester by a scaffold hop, gave rise to derivatives with improved in vitro antimalarial activities against Plasmodium falciparum K1, a chloroquine- and pyrimethamine-resistant parasite strain, with some derivatives exhibiting good selectivity for parasite over mammalian (L6) cells. Three representative compounds were selected for evaluation in a rodent model of malaria infection, and the best compound showed improved ability to decrease parasitaemia and a slight increase in survival., (© 2013 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.)

In the pursuit of new antimalarial leads, a phenotypic screening of various commercially sourced compound libraries was undertaken by the World Health Organisation Programme for Research and Training in Tropical Diseases (WHO-TDR). We report here the detailed characterization of one of the hits from this process, TDR32750 (8a), which showed potent activity against Plasmodium falciparum K1 (EC(50) ~ 9 nM), good selectivity (>2000-fold) compared to a mammalian cell line (L6), and significant activity against a rodent model of malaria when administered intraperitoneally. Structure-activity relationship studies have indicated ways in which the molecule could be optimized. This compound represents an exciting start point for a drug discovery program for the development of a novel antimalarial.

The recent surge in the frequency, severity, and extent of wildfires, along with the increased risk of wildfire-induced flooding, highlights the need to quantify the potential impacts of wildfires on peak flood flows. However, supporting wildfire impact assessments with imprecise models can be challenging due to the detailed information typically required about the severity and extent of wildfires, degree of dynamic forest recovery, and a lack of postburn flow data. Moreover, making reasonable assumptions about wildfire impacts becomes difficult. To address this challenge, we propose a novel methodology for screening wildfire impact scenarios on peak flood flows in regions with limited data before a wildfire has occurred. This methodology includes prefire process-based hydrological modeling, sequentially screening short wildfire impacts, and flood frequency analysis. As a proof of concept, the current strategy has been applied to four fire-prone watersheds in Canada. Unburned and worst-burn scenarios were generated and compared to quantify changes in peak flood flows and flood frequency curves. The results indicated that annual peak flows and flood frequency curves experienced an increase in the short-term worst-burn scenario across all four watersheds. The proposed screening methodology estimates the upper limits of postfire peak flood flows, offering insights into which watersheds may be disproportionately impacted by a wildfire regime. This model outputs can be seamlessly integrated into a risk management framework to inform wildfire management decisions aimed at hazard prevention and risk reduction. Practical Applications: This study introduces a groundbreaking methodology for screening the potential impact of wildfires on peak flood flows, even in regions with limited data and before a fire occurs. By using prefire hydrological models, simulating short-term wildfire effects, and analyzing flood frequency, this approach allows for early identification of watersheds that are highly vulnerable to postfire flooding. Specifically, it distinguishes between watersheds that are strongly or weakly affected by wildfire in the worst-case scenario, where little information is available about the extent or severity of the burn. This methodology may eventually be enhanced with additional data on burn severity for specific forest types, yet it currently provides a critical tool for categorizing watershed vulnerability to wildfire-related flooding. [ABSTRACT FROM AUTHOR]

New chemical entities are desperately needed that overcome the limitations of existing drugs for neglected diseases. Screening a diverse library of 10,000 drug-like compounds against 7 neglected disease pathogens resulted in an integrated dataset of 744 hits. We discuss the prioritization of these hits for each pathogen and the strong correlation observed between compounds active against more than two pathogens and mammalian cell toxicity. Our work suggests that the efficiency of early drug discovery for neglected diseases can be enhanced through a collaborative, multi-pathogen approach.

A novel class of antimalarial pyrido[1,2-a]benzimidazoles were synthesized and evaluated for antiplasmodial activity and cytotoxicity following hits identified from screening commercially available compound collections. The most active of these, TDR86919 (4c), showed improved in vitro activity vs the drug-resistant K1 strain of Plasmodium falciparum relative to chloroquine (IC(50) = 0.047 μM v 0.17 μM); potency was retained against a range of drug-sensitive and drug-resistant strains, with negligible cytotoxicity against the mammalian (L-6) cell line (selectivity index of >600). 4c and several close analogues (as HCl or mesylate salts) showed significant efficacy in P. berghei infected mice following both intraperitoneal (ip) and oral (po) administration, with >90% inhibition of parasitemia, accompanied by an increase in the mean survival time (MSD). The pyrido[1,2-a]benzimidazoles appeared to be relatively slow acting in vivo compared to chloroquine, and metabolic stability of the alkylamino side chain was identified as a key issue in influencing in vivo activity.

A field study was conducted to determine the microbial community structures of streambed sediments across diverse geographic and climatic areas. Sediment samples were collected from three adjacent headwater forest streams within three biomes, eastern deciduous (Pennsylvania), southeastern coniferous (New Jersey), and tropical evergreen (Guanacaste, Costa Rica), to assess whether there is biome control of stream microbial community structure. Bacterial abundance, microbial biomass, and bacterial and microbial community structures were determined using classical, biochemical, and molecular methods. Microbial biomass, determined using phospholipid phosphate, was significantly greater in the southeastern coniferous biome, likely due to the smaller grain size, higher organic content, and lower levels of physical disturbance of these sediments. Microbial community structure was determined using phospholipid fatty acid (PLFA) profiles and bacterial community structure from terminal restriction fragment length polymorphism and edited (microeukaryotic PLFAs removed) PLFA profiles. Principal component analysis (PCA) was used to investigate patterns in total microbial community structure. The first principal component separated streams based on the importance of phototrophic microeukaryotes within the community, while the second separated southeastern coniferous streams from all others based on increased abundance of fungal PLFAs. PCA also indicated that within- and among-stream variations were small for tropical evergreen streams and large for southeastern coniferous streams. A similar analysis of bacterial community structure indicated that streams within biomes had similar community structures, while each biome possessed a unique streambed community, indicating strong within-biome control of stream bacterial community structure.

Agricultural soils are responsible for ecological functions and services that include primary production of food, fiber and fuel, nutrient cycling, carbon cycling and storage, water infiltration and purification, among others. Fungi are important drivers of most of those ecosystem services. Given the importance of fungi in agricultural soils, in this study, we aimed to characterize and analyse the changes of the soil fungal communities of three cropping systems from Madeira Island, where family farming is predominant, and investigate the response of fungi and its functional groups to soil physicochemical properties. To achieve that, we sequenced amplicons targeting the internal transcribed spacer 1 (ITS1) of the rRNA region, to analyse soil samples from 18 agrosystems: 6 vineyards (V), 6 banana plantations (B) and 6 vegetable plantations (H). Our results showed that alpha diversity indices of fungal communities are similar in the three cropping systems, but fungal composition and functional aspects varied among them, with more pronounced differences in B. Ascomycota, Basidiomycota, and Mortierellomycota were the main phyla found in the three cropping systems. Agaricomycetes and Sordariomycetes are the predominant classes in B, representing 23.8 and 22.4%, respectively, while Sordariomycetes (27.9%) followed by Eurotiomycetes (12.3%) were the predominant classes in V and Sordariomycetes (39.2%) followed by Tremellomycetes (8.9%) in the H. Saprotrophs are the fungal group showing higher relative abundance in the three cropping systems, followed by plant pathogens. Regarding symbionts, endophytes were highly observed in B, while mycorrhizal fungi was predominant in V and H. The structure of fungal communities was mainly correlated with soil content of P, K, N, Fe, and Cu. In addition, we identified bioindicators for each cropping system, which means that cultivated crops are also drivers of functional groups and the composition of communities. Overall, the three cropping systems favored diversity and growth of taxa that play important roles in soil, which highlights the importance of conservative management practices to maintain a healthy and resilient agrosystem. [ABSTRACT FROM AUTHOR]

The substance principal used to synthesize these materials is fibroin, obtained from the silkworm's cocoon (Bombyx mori) in the form of a filament, but can be converted into nanometric particles. After the synthesis, the obtained samples were characterized by size and Zeta potential (via nanosizer), X-Ray diffraction (XRD), specific area determination by the BET method, Infrared Spectroscopy with Fourier Transform with attenuated diffuse reflectance (FTIR), transmission electron microscopy (TEM). The silk fibroin nanoparticles (SFNp) were immobilized on polylactic acid (PLA)-knitted fabric and functionalized with chitosan for FTIR and XRD analyses, in addition to cytotoxicity analysis with colorimetric test (MTT) and cell adhesion. The DLS, FTIR and MET results confirm the formation of spherical silk fibroin nanoparticles with average sizes between 48 and 156nm, and zeta potential of − 19.95mV which characterizes a good dispersibility. Cell-viability assessment showed that SFNp is a non-cytotoxic material at low concentrations up to 48h, confirming that the nanoparticle synthesis method using the ternary system is an effective and low-cost alternative. This technique has great potential for use in the development of biomaterials, due to the production of knitted tissues with PLA functionalized with chitosan and immobilized with SFNp, exhibiting mechanical strength and biocompatibility. [ABSTRACT FROM AUTHOR]

Soil moisture movement reveals the hydrological environment and irrigation characteristics of plants, which is very important and basic hydrological problem. A soil moisture movement algorithm based on cellular automata suitable for greenhouse was proposed to simulate the lateral flow and vertical penetration of soil water in different soil layers. Artemisia annua was used as an experimental plant, and two numerical simulations were set up to determine the minimum water replenishment and the degree of upward soil modification. To verify the performance of the model, corn was used as an experimental plant for application simulation. The numerical simulation results show that the effect of only water for plant cells is superior to soil cells, and the disturbance behavior of the underlying soil layer should be minimized during the cultivation process. The average MAE/RMSE of all soil layers is 0.86/1.06 and in deep layer (50 cm and 60 cm) is 0.53/0.64. It shows the model has a certain prediction and simulation ability, especially in deep soil layers. The proposed algorithm can simply calculate soil flow, set the minimum water replenishment, and evaluate the water replenishment efficiency, which can provide a theoretical reference for the water replenishment and soil replacement scheme. [ABSTRACT FROM AUTHOR]