bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Moringa oleifera Supplementation on Anemia and other Variables during Pregnancy and Breastfeeding: A Narrative Review
Authors: Rotella Rosita , Soriano Jose M. , Llopis-González Agustín , Morales-Suarez-Varela María
Published: June 2023

Moringa is a plant commonly used for its medical properties. However, studies have shown contradictory results. The aim of this review is to evaluate the possible association between the use of Moringa during pregnancy and breastfeeding in relation to the health status of both the mother and the baby. A search of the PubMed and EMBASE databases on the literature published during the period 2018–2023 was conducted up until March 2023. The population/exposure/comparison/outcome (PECO) approach was used to select studies on pregnant women, mother–child pairs, and the use of Moringa. Out of the 85 studies initially identified, 67 were excluded, leaving 18 for full-text evaluation. After assessment, 12 were finally included in the review. In the articles included in this work, Moringa is administered during pregnancy or in the postnatal period in the form of leaf powder (MOLP), as a leaf extract (MLE), as an ingredient associated with other supplements or in preparations. It appears to influence several variables during pregnancy and in the postnatal period such as the mother’s haematochemical profile, milk production, the child’s socio-personal development and the incidence of morbidity during the first 6 months of life. None of the studies analysed reported contraindications to the use of the supplement during pregnancy and lactation.
Effects of Animal and Vegetable Proteins on Gut Microbiota in Subjects with Overweight or Obesity
Authors: Di Rosa Claudia , Di Francesco Ludovica , Spiezia Chiara , Khazrai Yeganeh Manon
Published: June 2023

The gut microbiota plays a pivotal role in the balance between host health and obesity. The composition of the gut microbiota can be influenced by external factors, among which diet plays a key role. As the source of dietary protein is important to achieve weight loss and gut microbiota modulation, in the literature there is increasing evidence to suggest consuming more plant proteins than animal proteins. In this review, a literature search of clinical trials published until February 2023 was conducted to examine the effect of different macronutrients and dietary patterns on the gut microbiota in subjects with overweight and obesity. Several studies have shown that a higher intake of animal protein, as well as the Western diet, can lead to a decrease in beneficial gut bacteria and an increase in harmful ones typical of obesity. On the other hand, diets rich in plant proteins, such as the Mediterranean diet, lead to a significant increase in anti-inflammatory butyrate-producing bacteria, bacterial diversity and a reduction in pro-inflammatory bacteria. Therefore, since diets rich in fiber, plant protein, and an adequate amount of unsaturated fat may help to beneficially modulate the gut microbiota involved in weight loss, further studies are needed.
Improving African Swine Fever Surveillance Using Fluorescent Rapid Tests
Authors: Aira Cristina , Monedero Alejandro , Hernández-Antón Sonia , Martínez-Cano Juan , Camuñas Ana , Casado Nadia , Nieto Raquel , Gallardo Carmina , García-Durán Marga , Rueda Paloma , Fresco-Taboada Alba
Published: June 2023

African swine fever (ASF) is a viral disease of swine with a huge impact due to its high mortality. Lately, the disease has actively spread around the world, affecting new areas from which it had been eradicated long ago. To date, ASF control is carried out by the implementation of strict biosecurity measures such as the early identification of infected animals. In this work, two fluorescent rapid tests were developed to improve the sensitivity of point-of-care diagnosis of ASF. For antigen (Ag) detection in blood, a double-antibody sandwich fluorescent lateral flow assay (LFA) was developed, employing a newly developed recombinant antibody to the VP72 of the virus. To complement the diagnosis, a double-recognition fluorescent LFA was developed using the VP72 for the detection of specific antibodies (Ab) in sera or blood. Both assays statistically improved the detection of the disease when compared to the commercial colorimetric assays INgezim® ASFV CROM Ag and INgezim® PPA CROM Anticuerpo, respectively, with higher statistical significance between 11 and 39 days post-infection. From the observation of results, it can be concluded that the combination of both Ag-LFA and Ab-LFA assays would facilitate the identification of infected animals, regardless of post-infection time.
Estimating the Directional Spread of Epidemics in Their Early Stages Using a Simple Regression Approach: A Study on African Swine Fever in Northern Italy
Authors: Gervasi Vincenzo , Sordilli Marco , Loi Federica , Guberti Vittorio
Published: June 2023

The early identification of the spreading patterns of an epidemic infectious disease is an important first step towards the adoption of effective interventions. We developed a simple regression-based method to estimate the directional speed of a disease’s spread, which can be easily applied with a limited dataset. We tested the method using simulation tools, then applied it on a real case study of an African Swine Fever (ASF) outbreak identified in late 2021 in northwestern Italy. Simulations showed that, when carcass detection rates were <0.1, the model produced negatively biased estimates of the ASF-affected area, with the average bias being about −10%. When detection rates were >0.1, the model produced asymptotically unbiased and progressively more predictable estimates. The model produced rather different estimates of ASF’s spreading speed in different directions of northern Italy, with the average speed ranging from 33 to 90 m/day. The resulting ASF-infected areas of the outbreak were estimated to be 2216 km2, about 80% bigger than the ones identified only thorough field-collected carcasses. Additionally, we estimated that the actual initial date of the ASF outbreak was 145 days earlier than the day of first notification. We recommend the use of this or similar inferential tools as a quick, initial way to assess an epidemic’s patterns in its early stages and inform quick and timely management actions.
Recent Insights into the Role of B Cells in Chronic Hepatitis B and C Infections
Authors: Osmani Zgjim , Boonstra Andre
Published: June 2023

Chronic viral hepatitis infections, caused by the hepatitis B or C virus, are a major global health problem causing an estimated one million deaths each year. Immunological studies have classically focused on T cells, while B cells have largely been neglected. Emerging evidence, however, highlights a role for B cells in the immunopathogenesis of chronic hepatitis B and C infections. B cell responses appear to be altered across different clinical phases of chronic HBV infection and across stages of disease in chronic HCV infection. These B cell responses show signs of a more activated state with a simultaneous enrichment of phenotypically exhausted atypical memory B cells. Despite the fact that studies show an activating B cell signature in chronic viral hepatitis infection, antibody responses to HBsAg remain impaired in chronic HBV infection, and glycoprotein E2-specific neutralizing antibody responses remain delayed in the acute phase of HCV infection. At the same time, studies have reported that a subset of HBV- and HCV-specific B cells exhibit an exhausted phenotype. This may, at least in part, explain why antibody responses in chronic HBV and HCV patients are suboptimal. Here, we summarize recent findings and discuss upcoming research questions while looking forward to how new single-cell technologies could provide novel insights into the role of B cells in chronic viral hepatitis infections.
Prevalence and Risk Factors Associated with Potentially Inappropriate Prescribing According to STOPP-2 Criteria among Discharged Older Patients—An Observational Retrospective Study
Authors: Sipos Mariana , Farcas Andreea , Leucuta Daniel Corneliu , Bulik Noémi-Beátrix , Huruba Madalina , Dumitrascu Dan , Mogosan Cristina
Published: June 2023

Pharmacokinetic and pharmacodynamic changes associated with old age, along with multimorbidity and polypharmacy might lead to inappropriate prescribing and adverse reactions. Explicit criteria such as the Screening tool of older people’s prescribing (STOPP) are useful to identify potential inappropriate prescribing’s (PIPs). Our retrospective study included discharge papers from patients aged ≥65 years, from an internal medicine department in Romania (January–June 2018). A subset of the STOPP-2 criteria was used to assess the prevalence and characteristics of PIPs. Regression analysis was performed to evaluate the impact of associated risk factors (i.e., age, gender, polypharmacy and specific disease). Out of the 516 discharge papers analyzed, 417 were further assessed for PIPs. Patients’ mean age was 75 years, 61.63% were female and 55.16% had at least one PIP, with 81.30% having one or two PIPs. Antithrombotic agents in patients with significant bleeding risk was the most prevalent PIP (23.98%), followed by the use of benzodiazepines (9.11%). Polypharmacy, extreme (>10 drugs) polypharmacy, hypertension and congestive heart failure were found as independent risk factors. PIP was prevalent and increased with (extreme) polypharmacy and specific cardiac disease. Comprehensive criteria like STOPP should be regularly used in clinical practice to identify PIPs to prevent potential harm.
The Antibiofilm Effects of Antimony Tin Oxide Nanoparticles against Polymicrobial Biofilms of Uropathogenic Escherichia coli and Staphylococcus aureus
Authors: Park Inji , Jailani Afreen , Lee Jin-Hyung , Ahmed Bilal , Lee Jintae
Published: June 2023

Biofilms are responsible for persistent or recurring microbial infections. Polymicrobial biofilms are prevalent in environmental and medical niches. Dual-species biofilms formed by Gram-negative uropathogenic Escherichia coli (UPEC) and Gram-positive Staphylococcus aureus are commonly found in urinary tract infection sites. Metal oxide nanoparticles (NPs) are widely studied for their antimicrobial and antibiofilm properties. We hypothesized that antimony-doped tin (IV) oxide (ATO) NPs, which contain a combination of antimony (Sb) and tin (Sn) oxides, are good antimicrobial candidates due to their large surface area. Thus, we investigated the antibiofilm and antivirulence properties of ATO NPs against single- and dual-species biofilms formed by UPEC and S. aureus. ATO NPs at 1 mg/mL significantly inhibited biofilm formation by UPEC, S. aureus, and dual-species biofilms and reduced their main virulence attributes, such as the cell surface hydrophobicity of UPEC and hemolysis of S. aureus and dual-species biofilms. Gene expression studies showed ATO NPs downregulated the hla gene in S. aureus, which is essential for hemolysin production and biofilm formation. Furthermore, toxicity assays with seed germination and Caenorhabditis elegans models confirmed the non-toxic nature of ATO NPs. These results suggest that ATO nanoparticles and their composites could be used to control persistent UPEC and S. aureus infections.
Preparative Fractionation of Phenolic Compounds and Isolation of an Enriched Flavonol Fraction from Winemaking Industry By-Products by High-Performance Counter-Current Chromatography
Authors: Fontana Ariel , Schieber Andreas
Published: June 2023

High-performance counter-current chromatography (HPCCC) was used as a tool for the isolation and fractionation of phenolic compounds (PCs) in extracts from wine lees (WL) and grape pomace (GP). The biphasic solvent systems applied for HPCCC separation were n-butanol:methyl tert-butyl ether:acetonitrile:water (3:1:1:5) with 0.1% trifluoroacetic acid (TFA) and n-hexane:ethyl acetate:methanol:water (1:5:1:5). After refining the ethanol:water extracts of GP and WL by-products by ethyl acetate extraction, the latter system yielded an enriched fraction of the minor family of flavonols. Recoveries of 112.9 and 105.9 mg of purified flavonols (myricetin, quercetin, isorhamnetin, and kaempferol) in GP and WL, respectively, from 500 mg of ethyl acetate extract (equivalent to 10 g of by-product) were obtained. The HPCCC fractionation and concentration capabilities were also exploited for the characterization and tentative identification of constitutive PCs by ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS). In addition to the isolation of the enriched flavonol fraction, a total of 57 PCs in both matrixes were identified, 12 of which were reported for the first time in WL and/or GP. The application of HPCCC to GP and WL extracts may be a powerful approach to isolate large amounts of minor PCs. The composition of the isolated fraction demonstrated quantitative differences in the individual compound composition of GP and WL, supporting the potential exploitation of these matrixes as sources of specific flavonols for technological applications.
Electro-Responsive Conductive Blended Hydrogel Patch
Authors: Ha Jang Ho , Lim Jae Hyun , Lee Jong Min , Chung Bong Geun
Published: June 2023

The proposed electro-responsive hydrogel has great benefit for transdermal drug delivery system (TDDS) applications. To improve the physical or chemical properties of hydrogels, a number of researchers have previously studied the mixing efficiencies of the blended hydrogels. However, few studies have focused on improving the electrical conductivity and drug delivery of the hydrogels. We developed a conductive blended hydrogel by mixing alginate with gelatin methacrylate (GelMA) and silver nanowire (AgNW). We demonstrated that and the tensile strength of blended hydrogels were increased by a factor of 1.8 by blending GelMA and the electrical conductivity was enhanced by a factor of 18 by the addition of AgNW. Furthermore, the GelMA-alginate-AgNW (Gel-Alg-AgNW) blended hydrogel patch enabled on-off controllable drug release, indicating 57% doxorubicin release in response to electrical stimulation (ES) application. Therefore, this electro-responsive blended hydrogel patch could be useful for smart drug delivery applications.
Pipe Flow of Viscoplastic Fluids and Analytical Predictions of Concrete Pumping Based on the Shear-Stress-Dependent Parabolic Model
Authors: Zhaidarbek Balnur , Savitskaya Kristina , Wang Yanwei
Published: June 2023

This study investigates the Hagen–Poiseuille pipe flow of viscoplastic fluids, focusing on analytical predictions of concrete pumping using the shear-stress-dependent parabolic model, extending analytical studies to a nonlinear rheological model with easily accessible experimental parameters. Research novelty and highlights encompass solving the steady laminar pipe flow for viscoplastic fluids described by the parabolic model, presenting detailed results for the two-fluid parabolic model, and introducing a computational app implementing theoretical findings. The parabolic model outperforms linear models, such as the Bingham model, in accuracy by accounting for the nonlinearity in the flow curves (i.e., shear stress and shear rate relations) of pumped concrete. The influence of rheological parameters on these relations is analyzed, and their versatility is demonstrated by a Wolfram Mathematica-based application program. The analytical approach developed in this work is adaptable for other models with shear stress as the independent variable, offering valuable insights into viscoplastic fluid flows.
Estimation of Shale Gas Reserves: A Modified Material Balance Equation and Numerical Simulation Study
Authors: Abdel Azim Reda , Alatefi Saad , Alkouh Ahmad
Published: June 2023

This study presents a comprehensive material balance equation (MBE) to estimate the reserve of shale gas reservoirs including free and adsorbed gas volume. The presented material balance equation takes into account the effect of stress change, matrix shrinkage, water volume production and influx, and critical desorption pressure. The material balance equation is converted into a linear relationship between the reservoir production and expansion parameters used during the derivation procedures that include rock-fluid properties and production history data. The proposed straight line reserve evaluation technique yields a slope of original free and absorbed gas in organic matrix, while the y-intercept yields the volume of original free gas in the in-organic matrix. A field case study of shale gas located in Australia is presented. Results show that the proposed MBE and the corresponding straight line reserve evaluation technique are rational and competent in estimating the free gas and adsorbed gas volumes accurately with error less than 6% compared to the numerical simulation model presented in this study using an in-house simulator based on finite element technique and FORTRAN language. Hence, the presented technique in this study can be used as a quick and easy to use tool to accurately estimate the free and adsorbed gas reserves and to improve the development of the production strategies of shale gas reservoirs.
Detecting Plant-Wide Oscillation Propagation Effects of Disturbances and Faults in a Chemical Process Plant Using Network Topology of Variance Decompositions
Authors: Fortela Dhan Lord B. , Mikolajczyk Ashley P.
Published: June 2023

This work demonstrates for the first time the application of network topology of variance decompositions in analyzing the connectedness of chemical plant process variable oscillations arising from disturbances and faults. Specifically, the time-based connectedness and frequency-based connectedness of variables can be used to compute the net pairwise dynamic connectedness (NPDC), which originated as a volatility spillover index for financial markets studies in the field of econometrics. This work used the anomaly-detection benchmark Tennessee-Eastman chemical process (TEP) dataset, which consists of 41 measured variables and 11 manipulated variables subjected to various faulty operating conditions. The data analytics was performed using key functions from the R-package ‘ConnectednessApproach’ that implements connectedness computations based on time and frequency. The NPDC coefficient matrices were then transformed into network adjacency matrices for the rendering of the network topology of connectedness for TEP. The resulting network topologies allow a comprehensive analysis of oscillation effects across all plant-measured and manipulated variables. Analyzing the directed connectedness of the system dynamics at short-range, mid-range, and long-range frequencies showed how the oscillation effects of disturbances and faults propagate and dissipate in the short-term, mid-term, and long-term periods.
Reconstructing the Archaeological Context of Free-Standing Buddhist Images: Considerations of the Wanfosi Hoard in Chengdu (Sichuan)
Authors: Liu Zelan
Published: June 2023

Unlike a modern archaeological excavation of a Buddhist hoard, this article focuses on a collection of free-standing Buddhist images retrieved from at least four unofficial and intermittent excavations between 1882 and the 1950s. The excavation site in question is associated with the former site of Wanfosi, a historical monastery that has been destroyed and rebuilt multiple times from the early Tang to late Qing. By examining various sources, including antiquarian scholarships, local gazetteers, pre-modern maps, and important Buddhist images found within the hoard, I aim to provide essential information that pertains to modern archaeology. This article seeks to address issues such as the accurate identification of the excavation location, the provenance of all materials from a single Buddhist hoard, the historical lineage of the monastery from which insights are gathered into the image cache, and the noteworthy observation that the preservation of the pre-Tang images occurred long before the final burial.
CBFM: Contrast Balance Infrared and Visible Image Fusion Based on Contrast-Preserving Guided Filter
Authors: Li Xilai , Li Xiaosong , Liu Wuyang
Published: June 2023

Infrared (IR) and visible image fusion is an important data fusion and image processing technique that can accurately and comprehensively integrate the thermal radiation and texture details of source images. However, existing methods neglect the high-contrast fusion problem, leading to suboptimal fusion performance when thermal radiation target information in IR images is replaced by high-contrast information in visible images. To address this limitation, we propose a contrast-balanced framework for IR and visible image fusion. Specifically, a novel contrast balance strategy is proposed to process visible images and reduce energy while allowing for detailed compensation of overexposed areas. Moreover, a contrast-preserving guided filter is proposed to decompose the image into energy-detail layers to reduce high contrast and filter information. To effectively extract the active information in the detail layer and the brightness information in the energy layer, we proposed a new weighted energy-of-Laplacian operator and a Gaussian distribution of the image entropy scheme to fuse the detail and energy layers, respectively. The fused result was obtained by adding the detail and energy layers. Extensive experimental results demonstrate that the proposed method can effectively reduce the high contrast and highlighted target information in an image while simultaneously preserving details. In addition, the proposed method exhibited superior performance compared to the state-of-the-art methods in both qualitative and quantitative assessments.
A Novel Object-Level Building-Matching Method across 2D Images and 3D Point Clouds Based on the Signed Distance Descriptor (SDD)
Authors: Zhao Chunhui , Wang Wenxuan , Yan Yiming , Su Nan , Feng Shou , Hou Wei , Xia Qingyu
Published: June 2023

In this work, a novel object-level building-matching method using cross-dimensional data, including 2D images and 3D point clouds, is proposed. The core of this method is a newly proposed plug-and-play Joint Descriptor Extraction Module (JDEM) that is used to extract descriptors containing buildings’ three-dimensional shape information from object-level remote sensing data of different dimensions for matching. The descriptor is named Signed Distance Descriptor (SDD). Due to differences in the inherent properties of different dimensional data, it is challenging to match buildings’ 2D images and 3D point clouds on the object level. In addition, features extracted from the same building in images taken at different angles are usually not exactly identical, which will also affect the accuracy of cross-dimensional matching. Therefore, the question of how to extract accurate, effective, and robust joint descriptors is key to cross-dimensional matching. Our JDEM maps different dimensions of data to the same 3D descriptor SDD space through the 3D geometric invariance of buildings. In addition, Multi-View Adaptive Loss (MAL), proposed in this paper, aims to improve the adaptability of the image encoder module to images with different angles and enhance the robustness of the joint descriptors. Moreover, a cross-dimensional object-level data set was created to verify the effectiveness of our method. The data set contains multi-angle optical images, point clouds, and the corresponding 3D models of more than 400 buildings. A large number of experimental results show that our object-level cross-dimensional matching method achieves state-of-the-art outcomes.
Spatio-Temporal Variability Analysis of Vegetation Dynamics in China from 2000 to 2022 Based on Leaf Area Index: A Multi-Temporal Image Classification Perspective
Authors: Xu Tianchi , Yan Kai , He Yuanpeng , Gao Si , Yang Kai , Wang Jingrui , Liu Jinxiu , Liu Zhao
Published: June 2023

Leaf Area Index (LAI) is one of the most important biophysical parameters of vegetation, and its dynamic changes can be used as a reflective indicator and differentiation basis of vegetation function. In this study, a VCA–MLC (Vertex Component Analysis–Maximum Likelihood Classification) algorithm is proposed from the perspective of multi-temporal satellite LAI image classification to monitor and quantify the spatial and temporal variability of vegetation dynamics in China since 2000. The algorithm extracts the vegetation endmembers from 46 multi-temporal images of MODIS LAI in 2011 without the aid of other a priori knowledge and uses the maximum likelihood classification method to select the categories that satisfy the requirements of the number of missing periods, absolute distance, and relative distance for the rest pixels to be classified, ultimately dividing the vegetation area of China into 10 vegetation zones called China Vegetation Functional Zones (CVFZ). CVFZ outperforms MCD12Q1 and CLCD land cover datasets in the overall differentiation of vegetation functions and can be used synergistically with other land cover datasets. In this study, CVFZ is used to cut the constant vegetation-type pixels of MCD12Q1 during 2001–2022. The results of the LAI mean time series decomposition of each subregion using the STL (Seasonal-Trend Decomposition based on Loess) method show that the rate of vegetation greening ranges from 9.02 × 10−4 m2m−2yr−1 in shrubland subregions to 2.34 × 10−2 m2m−2yr−1 in savanna subregions. In relative terms, the average greening speed of forests is moderate, and savannas tend to have the fastest average greening speed. The greening speed of grasslands and croplands in different zones varies widely. In contrast, the average greening speed of shrublands is the slowest. In addition, CVFZ detected grasslands with one or two phenological cycles, broadleaf croplands with one or two phenological cycles, and shrublands with no apparent or one phenological cycle.
Worst-Case Integrity Risk Sensitivity for RAIM with Constellation Modernization
Authors: Wang Liuqi , Li Liang , Li Ruijie , Li Min , Cheng Li
Published: June 2023

The integrity improvement of receiver autonomous integrity monitoring (RAIM) can benefit from a combination of constellations. With the rapid development of constellation modernization, integrity parameters, including the probability of satellite fault (Psat) and user range accuracy (URA), have improved. The integrity loss of RAIM needs to be accurately characterized to control the effect of the improved integrity parameters. To reveal the sensitivity of integrity risk with respect to Psat and URA, a conservative integrity risk estimation method is proposed based on the worst-case protection concept. Acceptable Psat and URA were derived by comparing the estimated worst-case integrity risk with the required integrity risk. The simulation results showed that RAIM can meet the integrity risk requirement of LPV-200 when Psat was 10−4 and URA was smaller than 0.88 m.
AgriSen-COG, a Multicountry, Multitemporal Large-Scale Sentinel-2 Benchmark Dataset for Crop Mapping Using Deep Learning
Authors: Selea Teodora
Published: June 2023

With the increasing volume of collected Earth observation (EO) data, artificial intelligence (AI) methods have become state-of-the-art in processing and analyzing them. However, there is still a lack of high-quality, large-scale EO datasets for training robust networks. This paper presents AgriSen-COG, a large-scale benchmark dataset for crop type mapping based on Sentinel-2 data. AgriSen-COG deals with the challenges of remote sensing (RS) datasets. First, it includes data from five different European countries (Austria, Belgium, Spain, Denmark, and the Netherlands), targeting the problem of domain adaptation. Second, it is multitemporal and multiyear (2019–2020), therefore enabling analysis based on the growth of crops in time and yearly variability. Third, AgriSen-COG includes an anomaly detection preprocessing step, which reduces the amount of mislabeled information. AgriSen-COG comprises 6,972,485 parcels, making it the most extensive available dataset for crop type mapping. It includes two types of data: pixel-level data and parcel aggregated information. By carrying this out, we target two computer vision (CV) problems: semantic segmentation and classification. To establish the validity of the proposed dataset, we conducted several experiments using state-of-the-art deep-learning models for temporal semantic segmentation with pixel-level data (U-Net and ConvStar networks) and time-series classification with parcel aggregated information (LSTM, Transformer, TempCNN networks). The most popular models (U-Net and LSTM) achieve the best performance in the Belgium region, with a weighted F1 score of 0.956 (U-Net) and 0.918 (LSTM).The proposed data are distributed as a cloud-optimized GeoTIFF (COG), together with a SpatioTemporal Asset Catalog (STAC), which makes AgriSen-COG a findable, accessible, interoperable, and reusable (FAIR) dataset.
BDS/GPS/Galileo Precise Point Positioning Performance Analysis of Android Smartphones Based on Real-Time Stream Data
Authors: Li Mengyuan , Huang Guanwen , Wang Le , Xie Wei
Published: June 2023

Smartphones with the Android operating system can acquire Global Navigation Satellite System (GNSS) raw pseudorange and carrier phase observations, which can provide a new way for the general public to obtain precise position information. However, only postprocessing precise orbit and clock offset products in some older smart devices are applied in current studies. The performances of precise point positioning (PPP) with the smartphone using real-time products and newly smartphones are still unrevealed, which is more valuable for real-time applications. This study investigates the observation data quality and multi-GNSS real-time PPP performance using recent smartphones. Firstly, the observed carrier-to-noise density ratio (C/N0), number of satellites and position dilution of precision (PDOP) of GNSS observations are evaluated. The results demonstrate that the C/N0 received by Huawei Mate40 is better than that of the Huawei P40 for GPS, BDS, QZSS and Galileo systems, while the GLONASS is poorer, and the PDOP of the Huawei P40 is slightly better than that of Mate40. Additionally, a comprehensive analysis of real-time precise orbit and clock offset products performance is conducted. The experiment result expresses that the orbit and clock offset performance of GPS and Galileo is better than that of BDS-3 and GLONASS, and BDS-2 is the worst. Finally, single- and dual-frequency multi-GNSS combined PPP experiments using observations received from smartphones and real-time products are conducted; the results indicate that the real-time static PPP using a smartphone can achieve decimeter-level positioning accuracy, and kinematic PPP can achieve meter-level positioning accuracy after convergence.
Progress in the Application of CNN-Based Image Classification and Recognition in Whole Crop Growth Cycles
Authors: Yu Feng , Zhang Qian , Xiao Jun , Ma Yuntao , Wang Ming , Luan Rupeng , Liu Xin , Ping Yang , Nie Ying , Tao Zhenyu , Zhang Hui
Published: June 2023

The categorization and identification of agricultural imagery constitute the fundamental requisites of contemporary farming practices. Among the various methods employed for image classification and recognition, the convolutional neural network (CNN) stands out as the most extensively utilized and swiftly advancing machine learning technique. Its immense potential for advancing precision agriculture cannot be understated. By comprehensively reviewing the progress made in CNN applications throughout the entire crop growth cycle, this study aims to provide an updated account of these endeavors spanning the years 2020 to 2023. During the seed stage, classification networks are employed to effectively categorize and screen seeds. In the vegetative stage, image classification and recognition play a prominent role, with a diverse range of CNN models being applied, each with its own specific focus. In the reproductive stage, CNN’s application primarily centers around target detection for mechanized harvesting purposes. As for the post-harvest stage, CNN assumes a pivotal role in the screening and grading of harvested products. Ultimately, through a comprehensive analysis of the prevailing research landscape, this study presents the characteristics and trends of current investigations, while outlining the future developmental trajectory of CNN in crop identification and classification.
Spatiotemporal Variability of Global Atmospheric Methane Observed from Two Decades of Satellite Hyperspectral Infrared Sounders
Authors: Zhou Lihang , Warner Juying , Nalli Nicholas R. , Wei Zigang , Oh Youmi , Bruhwiler Lori , Liu Xingpin , Divakarla Murty , Pryor Ken , Kalluri Satya , Goldberg Mitchell D.
Published: June 2023

Methane (CH4) is the second most significant contributor to climate change after carbon dioxide (CO2), accounting for approximately 20% of the contributions from all well-mixed greenhouse gases. Understanding the spatiotemporal distributions and the relevant long-term trends is crucial to identifying the sources, sinks, and impacts on climate. Hyperspectral thermal infrared (TIR) sounders, including the Atmospheric Infrared Sounder (AIRS), the Cross-track Infrared Sounder (CrIS), and the Infrared Atmospheric Sounding Interferometer (IASI), have been used to measure global CH4 concentrations since 2002. This study analyzed nearly 20 years of data from AIRS and CrIS and confirmed a significant increase in CH4 concentrations in the mid-upper troposphere (around 400 hPa) from 2003 to 2020, with a total increase of approximately 85 ppb, representing a +4.8% increase in 18 years. The rate of increase was derived using global satellite TIR measurements, which are consistent with in situ measurements, indicating a steady increase starting in 2007 and becoming stronger in 2014. The study also compared CH4 concentrations derived from the AIRS and CrIS against ground-based measurements from NOAA Global Monitoring Laboratory (GML) and found phase shifts in the seasonal cycles in the middle to high latitudes of the northern hemisphere, which is attributed to the influence of stratospheric CH4 that varies at different latitudes. These findings provide insights into the global budget of atmospheric composition and the understanding of satellite measurement sensitivity to CH4.
Special Issue on Selected Papers from “International Symposium on Remote Sensing 2021”
Authors: Hong Sang-Hoon , Kim Jinsoo , Jung Hyung-Sup
Published: June 2023

The International Symposium on Remote Sensing 2021 (ISRS 2021) was held as a fully virtual meeting to provide all members of our community with the opportunity to participate in the annual ISRS event [...]
Construction of Input-Comparison-Output (ICO) Intercultural Mode for Sustainable Development in EFL Education
Authors: Liu Wenyuan , Yang Min
Published: June 2023

The cultivation of college students’ intercultural communication competence (ICC) for sustainable development is a hot research topic in English foreign language (EFL) education. What competencies are they required to have, and how to cultivate them in EFL education? The study is based on Byram’s model of ICC for cultivating students’ ICC for their sustainable development. To this end, an empirical study was conducted by constructing an intercultural comparative teaching mode called Input-Comparison-Output (ICO) in the research by integrating Chinese culture into EFL education for cultivating students’ ICC among Chinese college students. The study emphasizes the importance of the Chinese culture as the native culture by comparing similarities and differences with the targeted culture in EFL education. There are some existing research works on English and its culture, but few of them focus on the role and integration of Chinese culture in China’s EFL teaching. In order to seek some evidence of the function of the Chinese culture as the first culture in EFL education, the authors constructed the ICO intercultural mode, and 58 participants were recruited and divided into two groups randomly as the controlled group and experimental group in the empirical study. Some research methods were used in the study, such as questionnaires, term papers, statistical analyses and interviews. The data were collected through the Star of Questionnaire, the automatic assessing system of the I-write Platform, Excel and WeChat videos. Quantitative and qualitative statistics were adopted to assess the students’ changes of attitudes towards the integration of the Chinese culture into the course and academic development in the research. The ICO intercultural mode creates a novel teaching mode of cultural comparison between first culture and targeted culture, breaking down the traditional monocultural teaching one in the EFL teaching. The results of the research show that the integration of the Chinese culture into the EFL course is important, which can promote the students’ ICC thanks to the application of the ICO intercultural mode in the course. The initiative findings can be used as references for further intercultural teaching in EFL education.
The Fairness and Influencing Factors of the Spatial Distribution of Public Services in Beijing–Tianjin–Hebei
Authors: Shao Hui , Lv Siqi , Cao Chengfeng
Published: June 2023

Achieving the equalization of public services is one of the main goals of regional highquality development at this stage. It plays an important guiding role in optimizing the spatial pattern of a metropolis. Taking Beijing–Tianjin–Hebei as the research area, this paper used hotspot analysis, spatial measurement, and other methods to conduct quantitative analysis and empirical research based on POI data, census data, etc., to identify regional public service centers and population distribution centers, and compared and matched them. This study built public service evaluation indicators, comprehensively evaluated the public service level of each district and county in the region, established a spatial error model, and empirically analyzed the differences in the comprehensive public service level of 200 districts and counties in the Beijing–Tianjin–Hebei region. The results show that there is a certain degree of mismatch between the comprehensive hotspots of density of public service facilities and the hotspots of permanent populations in the Beijing–Tianjin–Hebei region. The spatial differentiation of the comprehensive level of public services is obvious, showing the characteristics of “high, middle, and low in the north” and “high in the core urban area and low in other districts and counties”. Government policies, economic development level, and the level of urbanization have a significant positive effect on the public service level. The article also discussed the policy implications of the conclusions, as well as corresponding countermeasures and suggestions.
A New Strategy to Solve “the Tragedy of the Commons” in Sustainable Grassland Ecological Compensation: Experience from Inner Mongolia, China
Authors: Liao Qinghu , Dong Wenwen , Zhao Boxin
Published: June 2023

Based on the principle of “who protects and benefits will compensate”, in recent years, many Chinese herders have begun to voluntarily participate in sustainable grassland ecological compensation by donating money. However, this traditional strategy may have brought about “the tragedy of the commons”. A new strategy described as “wealthy herders pay money, ordinary herders participate in supervision, and relevant departments post a list of participants at the end of each month”, which was trialed in the Keshiketeng Banner, Inner Mongolia, China, attempts to solve “the tragedy of the commons”. This new strategy is neither “Leviathan” nor “Privatization”; it creates a third way for grassland herders to achieve spontaneous cooperation in protecting grassland ecology. This article presents a theoretical analysis framework and experimental simulation method using this new strategy. Considering the importance of face culture and gossip in herders’ social lives, this study used a public goods game (PGG) model to analyze and experimentally simulate the effect of this new strategy. The simulated data show the following: (1) Compared with the traditional strategy, this new strategy promotes cooperation more effectively. It requires less money, time and human capital from herders and can mobilize more herders to participate in sustainable grassland ecological compensation, leading to the emergence of a cooperation equilibrium among herders. (2) In this new strategy, the total contributions of herders are inversely proportional to herders’ “reputation tolerance”, and they are directly proportional to herders’ “income level”, “total budget” and “satisfaction and emotion”. The cooperation level is inversely proportional to “reputation tolerance” and “income level” and directly proportional to “total budget” and “satisfaction and emotion”. (3) The advantage of this new strategy is that it is robust to changes in the exogenous coefficient. Our research contributes to the application of the PGG model in the sustainable development of various resources and developing new approaches to mitigating “the tragedy of the commons”.
Advanced Intelligent Approach for Solar PV Power Forecasting Using Meteorological Parameters for Qassim Region, Saudi Arabia
Authors: Alaraj Muhannad , Alsaidan Ibrahim , Kumar Astitva , Rizwan Mohammad , Jamil Majid
Published: June 2023

Solar photovoltaic (SPV) power penetration in dispersed generation systems is constantly rising. Due to the elevated SPV penetration causing a lot of problems to power system stability, sustainability, reliable electricity production, and power quality, it is critical to forecast SPV power using climatic parameters. The suggested model is built with meteorological conditions as input parameters, and the effects of such variables on predicted SPV power have been studied. The primary goal of this study is to examine the effectiveness of optimization-based SPV power forecasting models based on meteorological conditions using the novel salp swarm algorithm due to its excellent ability for exploration and exploitation. To forecast SPV power, a recently designed approach that is based on the salp swarm algorithm (SSA) is used. The performance of the suggested optimization model is estimated in terms of statistical parameters which include Root Mean Square Error (RMSE), Mean Square Error (MSE), and Training Time (TT). To test the reliability and validity, the proposed algorithm is compared to grey wolf optimization (GWO) and the Levenberg–Marquardt-based artificial neural network algorithm. The values of RMSE and MSE obtained using the proposed SSA algorithm come out as 1.45% and 2.12% which are lesser when compared with other algorithms. Likewise, the TT for SSA is 12.46 s which is less than that of GWO by 8.15 s. The proposed model outperforms other intelligent techniques in terms of performance and robustness. The suggested method is applicable for load management operations in a microgrid environment. Moreover, the proposed study may serve as a road map for the Saudi government’s Vision 2030.
Assessing the Relationship between Urban Blue-Green Infrastructure and Stress Resilience in Real Settings: A Systematic Review
Authors: Li Liwen , Lange Klaus W.
Published: June 2023

Acute and chronic stress can have detrimental effects on health, particularly in urban environments that lack conducive elements. Optimizing the urban landscape is a preventive measure to enhance well-being and develop healthier cities. This systematic review examines the relationship between stress reduction and urban landscapes, focusing on 19 empirical studies conducted in real urban settings. The findings highlight the physiological and psychological benefits of urban green infrastructure in promoting stress recovery. A well-designed green infrastructure that incorporates objective measurements while considering accessibility, availability, biodiversity, and cumulative effects emerged as crucial for enhancing stress resilience. However, the existing research lacks comprehensive measurements and calls for innovative approaches to ensure evidence-based health outcomes. Interdisciplinary research is needed to develop rigorous methods and tools for understanding the complex link between urban landscapes and stress reduction. This review emphasizes the need for integrating objective measurements of urban green infrastructure and considering accessibility, availability, biodiversity, and cumulative effects to foster healthier urban environments and enhance stress resilience.
Mechanisms Governing the Formation and Long-Term Sustainment of a Northeastward Moving Southwest Vortex
Authors: Yang Kang-Quan , Xiao Di-Xiang , Jiang Xing-Wen , Li Zi-Rui , Fu Shen-Ming
Published: June 2023

From 10 July to 12 July 2021, a long-lived (~66 h) southwest vortex (SWV), moved from Southwest China to Northeast China and caused a series of heavy rainfall events. This SWV case was rarely seen, as its lifespan was much longer than the SWVs’ mean lifespan, and the vast majority of SWVs showed a quasi-stationary behavior. It was found that the SWV formed and sustained in favorable background environments, which were characterized by a strong upper-level divergence (related to the South Asia High), a notable middle-tropospheric warm advection (related to a shortwave trough), and a vigorous low-level jet. The SWV showed remarkable interactions with a middle-tropospheric mesoscale vortex. The strong southwesterly wind in the eastern section of a deep shortwave trough east of the Tibetan Plateau acted as the steering flow for the northeastward movement of both vortices. Vorticity budget showed that the convergence-related vertical stretching dominated the SWV’s formation and development; the convection-related upward transport of cyclonic vorticity was the most favorable factor for the SWV’s sustainment, whereas, during the decaying stage, the SWV dissipated mainly due to the tilting effects and the net export transport of cyclonic vorticity. Backward trajectory analyses showed that most of the air particles that formed the SWV (at its formation time) were sourced from the lower troposphere. These air particles mainly ascended and experienced a rapid increase in cyclonic vorticity during the SWV’s formation stage. The topography of the Yunnan–Guizhou Plateau was crucial for the SWV’s formation, as around a half of the air particles (that formed the SWV) came from this region. Most of these air particles enhanced in their cyclonic vorticity and convergence when they descended along the topography of the plateau.