Dynamic Monitoring Research Articles

In situ Electrical Impedance Tomography for Visualizing Water Transportation in Hygroscopic Aerogels.

The global water crisis demands immediate attention, and atmospheric water harvesting (AWH) provides a viable alternative. However, studying the real-time subtle relationship between water absorption, diffusion, and internal structure for hygroscopic materials is challenging. Herein, a dynamic visualization technique is proposed that utilizes an in situ electrical impedance tomography (EIT) system and a precise reconstruction algorithm to achieve real-time monitoring of the water sorption process within aerogels from an internal microstructural perspective. These results can be inferred that composites' pore sizes affecting the kinetics of their moisture absorption. In addition, the diffusion path of moisture absorption and the distribution of stored moisture inside aerogels exhibit intrinsic self-selective behavior, where the fiber skeleton of the aerogel plays a crucial role. In summary, this work proposes a generic EIT-based technique for the in situ and dynamic monitoring of the hygroscopic process, pointing to an entirely new approach regarding research on AWH materials.

Design and Implementation of Time Point Approval and Dynamic Monitoring for Rural Illegal Occupation of Farmland for Constructing Houses

Abstract. The illegal occupation of farmland for building houses has impact not only on the land resources, but also the agricultural production, ecological environment, and food security. In order to protect farmland resources, maintain stable agricultural production activities and improve ecological environment, this paper designs and implements a time-point approval and dynamic monitoring solution and system for the problem of rural illegal occupation of farmland for constructing houses by comprehensively utilizing the satellite remote sensing technology (RS) and geographic information system technology (GIS). The result shows that the time-point approval and dynamic monitoring system can identify the illegal construction of houses accurately, thus this work can curb the generation of new illegal houses, and support the special governance of the construction of illegally occupied farmland effectively and continuously.

Successful Treatment of Multiple Arterial Thrombosis in Premature Infant: Clinical Case

Background. Neonatal thrombosis remains a complex and urgent challenge due to the presence of certain features of the hemostasis system in newborns and the variety of clinical signs. Management approaches are still under consideration, therapeutic experience of thrombolytic therapy (TLT) remains limited and requires benefit-risk assessment. Clinical case description. Clinical case of premature infant with multiple arterial thrombosis diagnosed on the 1st day of life is presented. Modern diagnostic features have allowed to establish the right diagnosis quickly and to start the treatment in time despite the similarities of clinical signs with congenital heart disease. Conclusion. TLT and heparin therapy have saved the child’s life, reversed ischemia, and preserved lower limbs from death. Doctors must perform dynamic monitoring during TLT to diagnose and correct hemorrhagic complications in timely manner.

Case report of the perinatal form of Nieman-Pick disease type С against the backdrop of pathogenetic off-label therapy

Background. Niemann–Pick disease type C is a multisystem orphan disease caused by mutations in the NPC1 and NPC2 genes and characterized by clinical polymorphism. The difficulties of managing such patients lie in the diagnosis and differential diagnostic search with other conditions with cholestasis, as well as the initiation of substrate-reducing therapy in young children. Case report. Previously, a case report of Niemann–Pick disease type C, with the manifestation of the disease in infancy and the appointment of off-label pathogenetic therapy was described. The article presents the results of dynamic monitoring of the child on this therapy, its effectiveness and safety. The leading syndromes in the clinical presentation of the disease were cholestasis, cytolysis, hepatosplenomegaly, as well as psychomotor retardation. An extensive differential diagnostic search was conducted with the exception of diseases such as toxic, viral hepatitis, alpha-1-antitrypsin deficiency, autoimmune liver diseases, aminoacidopathy, Alagille syndrome. Genetic testing on the “Cholestasis” panel revealed a mutation in the NPC1 gene. Biochemical diagnostics showed an increase in the concentration of lysosphingomyelin-509 and increased activity of chitotriosidase in dry blood spots. When sequencing the NPC1 gene by Sanger, the nucleotide substitution chr18:21131617G> A in the homozygous state was detected in the child. At 9 months, by the decision of the medical board, the child was prescribed pathogenetic therapy, the effectiveness of which was confirmed by clinical and laboratory relief of cholestasis, positive dynamics of neurological manifestations, in addition, the drug is satisfactorily tolerated by the patient, despite the preservation of an isolated increase in the level of aspartate aminotransferase. Conclusion. The presented case report confirms the need for a thorough differential diagnostic search with the inclusion of a wide range of diseases with the leading cholestasis for the timely detection of infants with Niemann- Pick disease type C, as well as the importance and effectiveness of early administration of pathogenetic therapy.

ОСЛОЖНЕНИЯ БЕРЕМЕННОСТИ И РОДОВ ПРИ ПАТОЛОГИИ ОРГАНОВ ЗРЕНИЯ

Pathology of the visual organs, according to statistics, is an indication for surgical delivery in 20-45%. The main purpose of this review is to analyze the scientific literature on the topic and to study the possibility of early diagnosis of retinal dissection in pregnant women. A pregnant woman with eye diseases needs careful dynamic monitoring, in particular, by an obstetrician-gynecologist and an ophthalmologist, as well as an individual approach to decide on the choice of a method of delivery. When planning pregnancy at the stage of pre-gravidar preparation, patients with visual impairments are recommended to undergo an extended ophthalmological examination. Modern pharmacological and instrumental capabilities of medicine make it possible to effectively and without harm to the mother and fetus treat pathological changes in vision when they are perfectly detected. The most dangerous complication associated with the eyes is rheumatogenic retinal detachment, which can lead to disability. With careful dynamic monitoring by an ophthalmologist, pregnant women with severe gestosis and concomitant diabetes mellitus can avoid complications. Modern medical capabilities make it possible to effectively and safely treat ocular pathologies in pregnant women. In the process of working on the article, the following methodology was used: selection of literary sources using modern information databases, analysis of the information received, systematization of materials and presentation of conclusions. An electronic search was conducted using publications identified in the following databases: eLibrary.RU, Google Scholar, PubMed.

Comparison of Extraction accuracy of Sugarcane from different resolution satellite images using Deep lab V3+ Mode

Abstract. Sugarcane is an annual or perennial persistent rooted tropical and subtropical herb that grows in tropical and subtropical regions. As China's production ranks among the world's leading, sugarcane industry is an important part of agricultural economy in China. As the largest sugarcane production center in China, Guangxi is one of the most suitable areas for sugarcane cultivation in China and even in the world. Sugarcane industry, as an agricultural advantageous industry in Guangxi, not only has a significant image to the national economy of the region, but also is closely related to the issue of security of national sugar supply. Continuous cropping of sugarcane is very common in Guangxi, which is very helpful for the concentration selection of sugarcane samples. The wide application of satellite remote sensing monitoring technology has become an indispensable means of natural resources monitoring. Using optical satellite remote sensing image to identify and extract sugarcane planting areas is of great significance to quickly and conveniently grasp the information of sugarcane distribution and yield. In this paper, the precision of sugarcane extraction from GF1 and GF2 satellite images is analyzed by using deeplab V3 + model, the effect of optical remote sensing images with different resolution on sugarcane extraction accuracy was studied to provide better data support for dynamic monitoring of sugarcane planting.

Research on Satellite and Ground Multi-Sensor Collaborative Sensing Method for Floating Plants

Abstract. Dynamic monitoring of water environment is the basis of maintaining urban security and promoting urban sustainable development. To effectively solve the problems caused by the large-scale flooding of floating aquatic invasive plants, such as water environment destruction, clogging river, water quality pollution, water ecological balance destruction, etc., a satellite and ground multi-sensor collaborative sensing method for floating plants is proposed in this paper. For the monitoring of floating plants in macro watershed, the vegetation index and chlorophyll concentration were used to extract floating plants, analyzing, and calculating the distribution and coverage area of floating plants based on 4-band high-resolution satellite images. For the monitoring of floating plants in small watershed, combined with visible light video, multispectral images, and LiDAR data, optimized spectral feature variable processing, semantic segmentation network, and symmetric function neural network are utilized to obtain real-time information on the invasion location, distribution pattern, and coverage area of floating plants. In this paper, the upstream basin of the Huangpu River in Shanghai in 2023 was selected as the experimental area. The distribution of floating plants in different watercourse and different periods was successfully obtained by this method, and the coverage area was accurately calculated with an identification rate of more than 90%, which provided technical support for cross-regional management and efficient cleaning of floating plants.

Exploring the effects of crop growth differences on radar vegetation index response and crop height estimation using dynamic monitoring model

Abstract. Synthetic aperture radar (SAR) has emerged as a promising technology for monitoring crop plant height due to its ability to capture the geometric properties of crops. Radar vegetation index (RVI) has been extensively utilized for qualitative and quantitative remote sensing monitoring of vegetation growth dynamics. However, the combination of crop, growing environment, and temporal dynamics makes crop monitoring data a complex task. Despite the relatively simple underlying mechanisms of this phenomenon, there is still a need for more research to identify specific vegetation structures that correspond to changes in the response of vegetation indices. Building upon this premise, this study utilized a dynamic monitoring model to conduct dynamic monitoring of plant height for three common crops: rice, wheat, and maize. The findings revealed that (1) models developed for specific spatial and temporal scales of particular crop varieties may not accurately predict crop growth in different regions or with different varieties in a timely manner, due to growth variations; (2) these models maintain accuracy over a range of plant heights, such as rice at around 70cm, wheat at around 50cm, and maize at around 150cm; (3) among the three crops, planting density was identified as the main factor influencing the differences in RVI response. This research contributes to our comprehension of the dynamic response of RVI to different growth conditions in crops, and offers valuable insights and references for agricultural monitoring.

Research on Corporate Financial Risk Management and Countermeasures

In today's new economic environment, competition among businesses is intensifying, leading to various challenges across industries. Financial risks, in particular, are receiving significant attention due to their potential impact. These risks can stem from market fluctuations, policy changes, or poor management, among other factors. Therefore, it's crucial for businesses to comprehensively consider and effectively manage these risks to ensure long-term stability and growth. Furthermore, controlling financial risks entails multiple measures. Businesses need to establish robust financial management systems, including clear financial goals, standardized financial processes, and well-defined internal control mechanisms. Additionally, they should enhance monitoring and analysis of market and industry dynamics to promptly identify and address potential risks. Moreover, by establishing reasonable financial budgets and funding plans and appropriately allocating financial resources, businesses can mitigate operational risks.

Integrating Dendrogeomorphology into Stress–Strain Numerical Models: An Opportunity to Monitor Slope Dynamic

Monitoring systems are recognized worldwide as fundamental tools for landslide risk management. However, monitoring can be difficult when dealing with large slopes in forested areas. In these situations, dendrogeomorphology can offer a low-cost and low-impact alternative for providing distributed information with an annual temporal resolution. The present study is a first attempt to integrate dendrometric and dendrogeomorphic data into a numerical finite difference model, in order to simulate the stress–strain behavior of the tree-slope system. By using a parametrical approach, the capability of the numerical model to effectively reproduce the tree stem anomalies (i.e., tilting angle, J-shaped feature, and internal stresses causing tree-ring growth anomalies such as eccentric growth and reaction wood) was verified, and the target parameters for the model calibration were identified based on a sensitivity analysis, which emphasized the relevance of the wood deformability; moreover, the interpretation of results allowed to point out different peculiarities (in terms of type of deformation, falling direction, and distribution of internal stresses) for different slope conditions (kinematics and depth of the failure surface) and different zones of the landslide (head scarp, main body, and toe). Afterwards, the modeling approach was applied to the Val Roncaglia landslide (Northen Italy), which involves a complex roto-translational kinematics, characterized by multiple sliding surfaces. The simulated stem anomalies showed good agreement with the ones arising from onsite dendrometric surveys, and they confirmed the conceptual model of the landslide, enabling the planning of further specific investigations. Moreover, the capability of the model in reproducing the tilting angle of trees, if correlated to their eccentricity, could provide a quite long time series (over more than 50–60 years) of the landslide reactivation and allow the use of dendrochronological data for the model calibration, thereby enhancing slope dynamic monitoring and landslide risk management.

A review of the satellite remote sensing techniques for assessment of runoff and sediment in soil erosion

Abstract Soil erosion monitoring is essential for the ecological evaluation and dynamic monitoring of land resources via remote sensing technology. In this paper, we provide new insights into the existing problems and development directions of traditional models, which are supported by new technologies. An important role is played by remote sensing information acquisition technology in the qualitative and quantitative evaluation of soil erosion, and the data and technical support provided are systematically reviewed. We provide a detailed overview of the research progress associated with empirical statistical models and physically driven process models of soil erosion, and the limitations of their application are also summarized. The preliminary integration of remote sensing data sources with high spatial and temporal resolution and new technologies for soil erosion monitoring enables the high-precision quantitative estimation of sediment transport trajectories, the watershed river network density, and the terrain slope, enhancing the accuracy of erosion factor identification, such as spectral feature recognition from erosion information, gully erosion feature extraction, and vegetation coverage estimation. However, the current erosion models, driven by algorithms and models, are not comprehensive enough, particularly in terms of the spatial feature extraction of erosion information, and there are limitations in the applicability and accurate estimation of such models.

All-optical subcycle microscopy on atomic length scales.

Bringing optical microscopy to the shortest possible length and time scales has been a long-soughtgoal, connecting nanoscopic elementary dynamics with the macroscopic functionalities of condensed matter. Super-resolution microscopy has circumvented the far-field diffraction limit by harnessing optical nonlinearities1. By exploiting linear interaction with tip-confined evanescent light fields2, near-field microscopy3,4 has reached even higher resolution, prompting a vibrant research field by exploring the nanocosm in motion5-19. Yet the finite radius of the nanometre-sized tip apex has prevented access to atomic resolution20. Here we leverage extreme atomic nonlinearities within tip-confined evanescent fields to push all-optical microscopy to picometric spatial and femtosecond temporal resolution. On these scales, we discover an unprecedented and efficient non-classical near-field response, in phase with the vector potential of light and strictly confined to atomic dimensions. This ultrafast signal is characterized by an optical phase delay of approximately π/2 and facilitates direct monitoring of tunnelling dynamics. We showcase the power of our optical concept by imaging nanometre-sized defects hidden to atomic force microscopy and by subcycle sampling of current transients on a semiconducting van der Waals material. Our results facilitate access to quantum light-matter interaction and electronic dynamics at ultimately short spatio-temporal scales in both conductive and insulating quantum materials.

Dissolution behavior and thermodynamic study of N-ethyl-2,2-diisopropylbutylamide in fourteen mono solvents by experiments and molecular simulation

N-ethyl-2,2-diisopropylbutylamide (WS-27) is a new cooling agent with a soothing, long-lasting cooling effect, widely used in personal care and cosmetic products. The dissolution behavior of WS-27 in fourteen mono solvents (methanol, ethanol, n-propanol, isopropanol, n-butanol, n-pentanol, methyl acetate, ethyl acetate, isopropyl acetate, propyl acetate, butyl acetate, dichloromethane, cyclohexanone, and acetone) was measured using a dynamic laser monitoring method from 263.15 K to 298.15 K under 101.6 ± 1.2 kPa. In these selected solvents, the solubility of WS-27 increased with increasing temperature. The van't Hoff equation, λh equation, modified Apelblat equation, Wilson model, and NRTL (non-random two-liquid) model were applied to correlate the experimental solubility data of WS-27, and the modified Apelblat equation showed the best-fitting results. In addition, the intermolecular interactions and solvent effect were analyzed using the Hirshfeld surface analysis, molecular electrostatic potential surface analysis, and KAT-LSER model analysis to understand the dissolution behavior of WS-27. The results indicate that the solubility of WS-27 is influenced by multiple factors, and there can be other factors as well. These fundamental data can provide essential information for the crystallization and purification process of WS-27.

Real-time and specific monitoring of nitric oxide and evaluating of the oxidative stress in living cells and zebrafish under the pollutant exposure using a carbon dot-based composite fluorescent probe

Nitric oxide (NO) functions as an essential signalling molecule in various physiological and pathological pathways. In vitro and vivo redox processes mediated by reactive oxygen species (ROS) and nitric oxide (NO) directly influence the intracellular state. In this study, a red-emitting fluorescent nanoprobe, N,S-CDs@Zn-ICA, was synthesized to monitor NO fluctuations in living cells and zebrafish under the exposure to various pollutants. Red-emissive carbon dots (N,S-CDs) were synthesized by a hydrothermal method using o-phenylenediamine and urea as carbon / nitrogen sources, and H2SO4 as sulfur source. Glutathione (GSH) was introduced to link N,S-CDs with metal organic complexes (Zn-ICA) through an amidation reaction to fabricate a carbon dot-based composite fluorescent probe, which greatly improved the selectivity, stability, and response time of the N,S-CDs. The composite probe has high selectivity and sensitivity with limit of detection (LOD) of 96.0 nM. Furthermore, the proposed probe was successfully used to monitor the dynamic changes in NO levels and evaluate oxidative stress in MCF-7 cells and zebrafish under the exposure to various pollutants, including seven heavy metal ions (such as Pb2+, Cd2+, and Hg2+) and nine organic pollutants at different concentrations and exposure times. This work provides a novel strategy for constructing highly selective and red-emitting fluorescent probe for real-time and dynamic monitoring of NO and further evaluating oxidative stress induced by pollutants in vitro and in vivo via fluorescence imaging.

Minimally Invasive Semiconductor Laser Surgery Combined with 5-ALA Photodynamic Therapy for a Chronic Hyperplastic Candidiasis Patient Who Is Ineffective to Antifungal Therapy.

Background: Chronic hyperplastic candidiasis (CHC) is a chronic oral mucosal infection caused by Candida, which has potential for malignant transformation. Diagnosing CHC can be challenging due to its various manifestations. In addition, fungal treatments often prove to be ineffective, highlighting the urgent need for a new safe and efficient treatment approach. Given the potential of CHC to transform into malignancy, it is crucial to emphasize dynamic monitoring and follow-up after treatment. Objective: We attempted to investigate the effect of semiconductor laser pretreatment combined with 5-amino-levulinic acid (5-ALA) photodynamic therapy (PDT) for CHC. Methods: We presented the successful treatment of CHC with mild dysplasia in a 30-year-old man using semiconductor laser and 5-ALA PDT after antifungal therapy proved ineffective. Toluidine blue staining, autofluorescence imaging, and DNA image cytometry were combined to dynamically monitor the progress of the disease. Results: We have obtained positive outcomes with the use of laser combined with PDT treatment. The patients experienced only mild adverse reactions after the treatment, and there was no indication of recurrence or malignant transformation during the subsequent follow-up period, as observed through various auxiliary examinations. Conclusions: This case report suggests that semiconductor laser surgery combined with PDT could be a promising treatment option for patients with CHC who do not respond to antifungal therapy. In addition, the use of combined noninvasive examinations might provide a more accurate assessment of malignant transformation in patients with CHC.

Gender differences in the association between changes in the atherogenic index of plasma and cardiometabolic diseases: a cohort study

ObjectiveThe relationship between changes in Atherogenic Index of Plasma (AIP) and cardiometabolic diseases (CMD) in middle-aged and elderly individuals remains unclear. This study aims to explore the association between changes in AIP and CMD.MethodsThis study included 3,791 individuals aged over 45 years from CHARLS. Participants were divided into four groups using the K-Means clustering method. Cumulative AIP was used as a quantitative indicator reflecting changes in AIP. Differences in baseline data and CMD incidence rates among these four groups were compared. Multifactorial logistic regression models were used to assess the relationship between changes in AIP and CMD, and subgroup analysis and interaction tests were conducted to evaluate potential relationships between changes in AIP and CMD across different subgroups. Restricted cubic splines (RCS) were used to assess the dose-response relationship between cumulative AIP and CMD.ResultsChanges in AIP were independently and positively associated with CMD. In males, the risk significantly increased in class4 compared to class1 (OR 1.75, 95%CI 1.12-2.73). In females, changes in AIP were not significantly associated with CMD. Cumulative AIP was positively correlated with CMD (OR 1.15, 95%CI 1.01-1.30), with significant gender differences in males (OR 1.29, 95%CI 1.07-1.55) and females (OR 1.03, 95%CI 0.87-1.23) (p for interaction = 0.042). In addition, a linear relationship was observed between cumulative AIP and CMD in male.ConclusionSubstantial changes in AIP may increase the risk of CMD in middle-aged and elderly Chinese males. Dynamic monitoring of AIP is of significant importance for the prevention and treatment of CMD.

UAV-assisted method for dynamic monitoring of wheat uniformity toward yield and biomass estimation

UAV-assisted method for dynamic monitoring of wheat uniformity toward yield and biomass estimation

Characteristics of Deformation and Stability of Ultra-Deep Pit in Plateau Alluvial–Lacustrine Gravel Strata

Characteristics of Deformation and Stability of Ultra-Deep Pit in Plateau Alluvial–Lacustrine Gravel Strata

Automatic Medical Assistance with Dynamic Tele Monitoring System

Automatic Medical Assistance with Dynamic Tele Monitoring System

Multidecadal mangrove forest change in Macajalar Bay, Northern Mindanao, Philippines (1950-2020) using remote sensing and geographic information systems.

The mangrove forest in Macajalar Bay is regarded as an important coastal ecosystem since it provides numerous ecosystem services. Despite their importance, the clearing of mangroves has been rampant and has reached critical rates. Addressing this problem and further advancing its conservation require accurate mangrove mapping. However, current spatial information related to mangroves is sparse and insufficient to understand the historical change dynamics. In this study, the synergy of 1950 vegetation maps and Landsat images was explored to provide multidecadal monitoring of mangrove forest change dynamics in Macajalar Bay, Philippines. Vegetation maps containing the 1950 mangrove extent and Landsat images were used as input data to monitor the rates of loss over 70years. In 2020, the mangrove forest cover was estimated to be 201.73ha, equivalent to only 61.99% of the 325.43ha that was estimated in 1950. Between 1950 and 2020, net mangrove loss in Macajalar Bay totaled 324.29ha. The highest clearing rates occurred between 1950 and 1990 when it recorded a total of 258.51ha, averaging 6.46ha/year. The original mangrove forest that existed in 1950 only represents 8.56% of the 2020 extent, suggesting that much of the old-growth mangrove had been cleared before 2000 and the existing mangrove forest is mainly composed of secondary mangrove forest stands. Across Macajalar Bay, intensified clearing that happened between 1950 and 1990 has been driven by large-scale aquaculture developments. Mangrove gains on the other hand were evident and have increased the total extent by 79.84ha since 2000 as a result of several afforestation programs. However, approximately half of these gains that were observed since 2010 exhibited low canopy cover. As of writing, approximately 85% of the 2020 mangrove forest stands fall outside the 1950 original mangrove extent. Examining the viability of the original mangrove forest for mangrove reforestation together with promoting site-species matching, and biophysical assessment are necessary undertakings to advance current mangrove conservation initiatives in Macajalar Bay.