Average Index Research Articles

Differentiated high grade thyroid carcinomas: Diagnostic consideration and clinical features

BackgroundDifferentiated high-grade thyroid carcinomas (DHGTCs) are a new diagnostic entity most recently defined in the 2022 World Health Organization's (WHO) Classification of Endocrine and Neuroendocrine Tumors. This new entity has been minimally described in the literature, and additional cases classified as such are missing. Materials and methodsCases of DHGTCs diagnosed at our institution from 2012 to 2022 were identified, and the following were reviewed: cytologic and histologic diagnoses, ancillary testing, immunohistochemical staining, treatments, and patient outcomes. Immunohistochemical staining for Ki67 was performed on selected cases lacking this immunostain. A systematic literature review of the English literature on DHGTCs from 2013 to 2023 was performed using PubMed and Embase. ResultsCase cohort included 32 cases of DHGTCs, with an average age of 52.6 years (range 17–84 years) and a male:female ratio of 1.3:1. All cases underwent fine needle aspiration (FNA) and were categorized by The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) as follows: 14 cases as malignant (43.8 %), 10 as follicular neoplasm (31.3 %), 5 as atypia of undetermined significance (15.6 %), 2 as suspicious for malignancy (6.2 %), and 1 as non-diagnostic (3.1 %). The average tumor size was 5.15 cm, and most were papillary thyroid carcinoma (28, 87.5 %), with classic subtype being the most common. Twenty-one cases revealed tumor necrosis and the mitotic activity in lesions without necrosis averaged to 5.5 mitoses per 2 mm2 (range 0–7). The average Ki67 proliferative index was 5.6 %. Extrathyroidal extension was seen in 17, angioinvasion in 21, lymphatic invasion in 7, and perineural invasion in 1 case. Foci of solid or trabecular growth were identified in five cases. Lymph node metastases at the time of diagnosis were noted in 10 cases and 7 demonstrated distant metastases or locoregional recurrence. To date, 25 patients are alive, and one has died from disease. ConclusionsOur institutional experience demonstrates that DHGTC is a rare, but aggressive thyroid tumor subtype that requires consideration in the setting of a well-differentiated thyroid neoplasm to appropriately assess for possible disease recurrence and determination of patient prognosis.

Total-Factor Energy Efficiency (TFEE) and CO2 Emissions for GCC Countries

Recently, the potential role of energy efficiency in energy transformation on the path to sustainable development has become a crucial topic. Over the past three decades, energy consumption and CO2 emissions in the Gulf countries have increased dramatically. This paper assesses the energy efficiency of Gulf Cooperation Council countries during the period 2000–2019. Thus, the contribution of this study to the energy policy literature is to measure the total-factor energy efficiency, in order to explore the current energy efficiency situation in the Gulf countries. This is the first study of the Gulf countries in terms of estimating the total-factor energy efficiency using the DEA–Malmquist method. The analysis shows that the average total factor productivity change index value was 0.964, with a decline rate of 3.6%. This demonstrates that energy efficiency in those regions has experienced a relative decline. The results of Malmquist analysis show that the total factor productivity change index for the Gulf countries is less than 1, which means a regression in their efficiency (energy inefficiency) from 2000 to 2019. This means that the decline in total-factor energy efficiency in those regions was mainly due to the technical progress index. The results of the study can help policy makers understand the current level of energy efficiency, and identify the main drivers of total-factor energy efficiency. Based on the results, some policy implications related to energy efficiency and suggestions for the GCC region were formulated.

Impact of recapitalisation and dividend payout policies on financial sustainability of rural and community banks in Ghana

The study examines the effect of bank recapitalization and dividend policies on the financial sustainability of rural and community banks (RCBs) in Ghana. Data from 135 RCBs from 2011 to 2020 revealed an average financial sustainability index of 0.525 over the past decade, suggesting that RCBs can finance their operations and liabilities without diminishing shareholder value. Recapitalization and dividend payouts positively impact financial sustainability, with well-capitalized, highly pay-out RCBs showing faster improvements in sustainability compared to those with retention policy. This highlights the importance of RCBs bolstering their capital base, even when not mandated by regulators, to enhance financial sustainability. Furthermore, adopting a relaxed pay-out policy can signal operational efficiency and sustainability to shareholders.

Research on the Modeling of Automatic Pricing and Replenishment Strategies for Perishable Goods with Time-Varying Deterioration Rates

This paper focuses on the modeling of automatic pricing and replenishment strategies for perishable products with time-varying deterioration rates based on an improved SVR-LSTM-ARIMA hybrid model. This research aims to support supermarkets in planning future strategies, optimizing category structure, reducing loss rates, and improving profit margins and service quality. Specifically, the paper selects perishable vegetables as the research category and calculates the cost-plus ratio for each vegetable category. Correlation analysis is conducted with total sales, and a non-parametric relationship curve is obtained using support vector regression for nonlinear fitting. The long and short memory recurrent neural network is then used to predict sales volume, and a pricing strategy is calculated based on the fitting curve. Additionally, the paper establishes a correlation between loss rate and shelf life, corrects the daily average sales volume index, and solves the problem of quantity and category of replenishment using a backpack problem approach. By considering multiple constraints, a quantitative category replenishment volume and pricing strategy is obtained. The mathematical model proposed in this paper addresses the replenishment and pricing challenges faced by supermarkets, aiming to improve revenue and reduce loss while meeting market requirements.

Evaluation of educational resource utilization efficiency, regional technological heterogeneity, and total factor productivity change in 35 European countries.

Educational resource utilization efficiency (ERUE) and productivity growth are considered current global challenges that the modern world faces. This study evaluates the educational resource utilization efficiency, dynamic productivity change, and regional discrepancies in technologies involved in educational resource utilization in 35 European countries and four regions. DEA Super SBM, Meta frontier analysis, and Malmquist productivity index are employed to gauge the ERUE, technology gap ratio (TGR), and total factor education resources productivity change. A set of inputs and outputs is used from 35 European countries for the study period of 1998-2021. Results revealed that the average ERUE in European countries is 0.6312, Which indicates a 36.88% improvement potential in educational resource utilization. Southern Europe continuously exhibits superior average ERUE scores (0.6871) compared to other regions, indicating a higher efficiency in using educational resources. Luxembourg (1.0813), Czechia (0.9356), and Slovenia (0.8984) are found to be the top three performers in terms of ERUE level. The technology gap ratio value is highest in Southern Europe. It demonstrates that southern European countries used the most advanced technology in education resource utilization. The average Malmquist Index (MI) in European countries is 1.0349. It Indicates a 3.49% growth in educational resource utilization. Technology is the primary determinant of productivity growth, as Technological change is higher than efficiency change. Southern European countries showed the highest MI of 1.0542. Italy, Lithuania, and Serbia were found to have higher average MI scores over the study period (1998-2021). Finally, the Kruskal Wallis test proved that ERUE and TGR in 4 different regions of Europe are heterogeneous. In contrast, the MI in European regions isn't found to be significantly different.

Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network

The prevalence and mobility of smartphones make these a widely used tool for environmental health research. However, their potential for determining aggregated air quality index (AQI) based on PM2.5 concentration in specific locations remains largely unexplored in the existing literature. In this paper, we thoroughly examine the challenges associated with predicting location-specific PM2.5 concentration using images taken with smartphone cameras. The focus of our study is on Dhaka, the capital of Bangladesh, due to its significant air pollution levels and the large population exposed to it. Our research involves the development of a Deep Convolutional Neural Network (DCNN), which we train using over a thousand outdoor images taken and annotated. These photos are captured at various locations in Dhaka, and their labels are based on PM2.5 concentration data obtained from the local US consulate, calculated using the NowCast algorithm. Through supervised learning, our model establishes a correlation index during training, enhancing its ability to function as a Picture-based Predictor of PM2.5 Concentration (PPPC). This enables the algorithm to calculate an equivalent daily averaged AQI index from a smartphone image. Unlike, popular overly parameterized models, our model shows resource efficiency since it uses fewer parameters. Furthermore, test results indicate that our model outperforms popular models like ViT and INN, as well as popular CNN-based models such as VGG19, ResNet50, and MobileNetV2, in predicting location-specific PM2.5 concentration. Our dataset is the first publicly available collection that includes atmospheric images and corresponding PM2.5 measurements from Dhaka. Our codes and dataset are available at https://github.com/lepotatoguy/aqi.

Temporal and Spatial Distribution of Phytoplankton and Role of Environment Factors in the Shending River Backwater in the Danjiangkou Reservoir Area

The Danjiangkou Reservoir supplies drinking water to most residents in northern China. However, signs of eutrophication have been observed in the inlet tributaries of the reservoir, including the Shending River backwater. This research used data from the Sentinel-2 Multispectral instrument and findings from a 2021 aquatic ecological survey to analyze the spatial and temporal characteristics of phytoplankton distribution in the Shending River backwater region. The average chlorophyll a (Chl-a) concentrations by season, ranked from largest to smallest, are as follows: summer (63.96 μg/L) > autumn (41.26 μg/L) > spring (27.47 μg/L) > winter (16.21 μg/L); the upstream of the backwater area and the near-shore tributary bay had relatively higher Chl-a concentration. Bacillariophyceae (Cyclotella meneghiniana and Synedra sp.) and Cryptophyceae species (Chroomonas acuta) were dominant in spring, whereas Chlorophyceae (Scenedesmus sp. and Chlorella vulgaris) and Cyanophyceae (Dactylococcopsis acicularis, Microcystis aeruginosa and Oscillatoria tenuis) species were dominant in summer. The seasonal succession characteristics of the phytoplankton community were consistent with those of the Plankton Ecology Group model. The average phytoplankton cell density was 4.80 × 107 cells/L, and the Shannon–Wiener average diversity index was 1.95, indicating that the Shending River backwater area was moderately eutrophic. According to Pearson correlation analysis and Mantel test, the main factors causing temporal and spatial differences in phytoplankton production in the Shending River’s backwater were water level (WL), water temperature (WT), ammonia nitrogen (NH3-N) and total nitrogen (TN). In particular, WL was significantly positively correlated with Bacillariophyceae, Chlorophyceae and Cyanophyceae, whereas WT was significantly correlated with Cryptophyceae and Chlorophyceae. NH3-N and TN were significantly correlated with Cyanophyceae. Therefore, intensive nitrogen removal from the tailwater of sewage treatment plants may be considered a feasible measure to prevent cyanobacterial bloom in the Shending River backwater of the Danjiangkou Reservoir.

Implementation of Mandibular Distraction Osteogenesis for Patients With Pierre Robin Sequence in a Developing Country Through International Collaboration: A Paradigm for Success.

Though it has made significant strides, Vietnam remains a resource-constrained country of 98 million people. Vietnam National Children's Hospital (VNCH) provides tertiary care to a catchment of 40 million people and is the sole national children's hospital. As such, it is one of the few referral centers in the country equipped to take care of patients diagnosed with Pierre Robin sequence (PRS) as this requires pulmonary, critical care, otolaryngology, and plastic surgery expertise. Before 2015, the only surgical options were tongue lip adhesion or tracheostomy. Only 20% of patients successfully avoided tracheostomy, mechanical ventilation, or death. From 2015 to 2019, mandibular distraction osteogenesis (MDO) was introduced by visiting international surgeons on a short-term basis. Since 2020, local surgeons at VNCH have refined their technique and widely use MDO independently. This report seeks to capitulate their experience and identify factors leading to success. A retrospective review was conducted of patients diagnosed with PRS at VNCH from 2015 to 2022. Paper records were digitized, translated, and reviewed for inclusion criteria, including demographics, indications, hospital course, and postoperative outcomes. Complete records satisfying inclusion criteria were available for 53 patients with a diagnosis of PRS who underwent MDO from 2020 to 2022. From 2015 to 2019, there were 19 cases of MDO, though records were incomplete. The median age at the time of MDO was 50 ± 43 days. Forty patients (75.5%) had isolated PRS and 13 (24.5%) were syndromic. Forty-four patients (83%) had a cleft palate. Fifty-one (96.2%) of patients required preoperative supplemental oxygen or mechanical ventilation. The active distraction and consolidation phase was 4.8 ± 1.3 months. The median days to discharge after surgery was 19.0 ± 8.3 days. Median weight at birth, at the time of surgery, and at the time of device removal were 6.8 ± 1.2, 7.7 ± 1.9, and 14.8 ± 2.8 pounds, respectively. Fifty-two patients (98.1%) had obstructive sleep apnea preoperatively with an average Apnea Hypopnea Index of 25.0 ± 10.6. Post-MDO, only 4 (7.5%) had obstructive sleep apnea and the average Apnea Hypopnea Index was 5.2 ± 0.6. No patients (0) required a tracheostomy for a 100% success rate. The tremendous success of the implementation of MDO by local surgeons in Vietnam after its introduction by visiting international surgeons illustrates a paradigm for capacity-enhancing global surgical endeavors. Mandibular distraction osteogenesis has replaced tongue lip adhesion as the surgical treatment of choice for PRS patients at VNCH. Surgical techniques can be transferred to operating environments with basic infrastructure through collaboration and resource optimization. These results demonstrate that global surgical engagement may be scalable and repeatable with direct benefits for patients in lower-middle-income countries.

Use of chitin:DNA ratio to assess growth form in fungal cells

BackgroundDimorphism, the ability to switch between a ‘yeast-like’ and a hyphal growth form, is an important feature of certain fungi, including important plant and human pathogens. The switch to hyphal growth is often associated with virulence, pathogenicity, biofilm formation and stress resistance. Thus, the ability to accurately and efficiently measure fungal growth form is key to research into these fungi, especially for discovery of potential drug targets. To date, fungal growth form has been assessed microscopically, a process that is both labour intensive and costly.ResultsHere, we unite quantification of the chitin in fungal cell walls and the DNA in nuclei to produce a methodology that allows fungal cell shape to be estimated by calculation of the ratio between cell wall quantity and number of nuclei present in a sample of fungus or infected host tissue. Using the wheat pathogen Zymoseptoria tritici as a test case, with confirmation in the distantly related Fusarium oxysporum, we demonstrate a close, linear relationship between the chitin:DNA ratio and the average polarity index (length/width) of fungal cells. We show the utility of the method for estimating growth form in infected wheat leaves, differentiating between the timing of germination in two different Z. tritici isolates using this ratio. We also show that the method is robust to the occurrence of thick-walled chlamydospores, which show a chitin:DNA ratio that is distinct from either ‘yeast-like’ blastospores or hyphae.ConclusionsThe chitin:DNA ratio provides a simple methodology for determining fungal growth form in bulk tissue samples, reducing the need for labour-intensive microscopic studies requiring specific staining or GFP-tags to visualise the fungus within host tissues. It is applicable to a range of dimorphic fungi under various experimental conditions.

Design, biological characteristics, and antibacterial mechanism of high therapeutic index antimicrobial peptides with PRRP as central axis.

As the important components of biological innate immunity, antimicrobial peptides (AMPs) were found in a variety of organisms including insects, plants, animals, bacteria, fungi, etc. However, high hemolytic activity, high toxicity, and poor stability of natural AMPs hinder serious their application as therapeutic agents. To overcome these problems, in this study we use PRRP as a central axis, and peptides were designed based on the sequence template XRRXXRXPRRPXRXXRRX-NH2, where X represents a hydrophobic amino acid like Phe (F), Ile (I), Val (V), and Leu (L). The designed peptides LR18, FR18, and IR18 showed effective antimicrobial activity against some Gram-positive bacteria and Gram-negative bacteria, low cytotoxicity to mammalian cells, and had a tendency to form α-helical structures in membrane-mimetic environments. Among them, peptide LR18 (X: L) showed the highest geometric mean average treatment index (GMTI = 42.7) against Gram-negative bacteria, and FR18 (X: L) showed the highest GMTI (22.86) against Gram-positive bacteria. LR18 and FR18 also showed better salt, temperature, pH, and trypsin stability. LR18 and FR18 exert their antimicrobial effects mainly through destroying bacteria cell membrane. Briefly, peptide LR18 and FR18 have the potential to serve as a therapeutic agent to reduce antibiotic resistance owing to its high therapeutic index and great stability.

Do Clean Toilets Help Improve Farmers’ Mental Health? Empirical Evidence from China’s Rural Toilet Revolution

The mental health crisis poses a major challenge to global sustainable development. In response, the United Nations has launched an ambitious plan to “reshape the environment that affects mental health”. Clean toilets are an important measure of civilization, yet it is unclear whether they are helping to alleviate the global mental health crisis. Therefore, using data from a large sample of rural Chinese households and introducing an instrumental variables approach based on the IV-Tobit model to address endogeneity, this study quantitatively discusses that clean latrines have a positive effect on the mental health of farm households. The results showed the following: (1) 89.8% of Chinese rural households had clean toilets, while the average farm household depression index was 12.568; and (2) clean toilets helped to improve the mental health of farmers, which means that the depression index of farmers with clean toilets decreased by 66.9% compared to farmers without clean toilets. The findings of this study can inform the development of policies to mitigate the global mental health crisis and contribute to the resilience of global development.

Pigments, minerals, and copper-corrosion products: Terahertz continuous wave (THz-CW) spectroscopic characterization of antlerite and atacamite

In this work, the optical properties of atacamite, antlerite and azurite are characterized for the first time by exploiting a high-resolution coherent THz-CW spectrometer in the spectral range 0.1–2.8 THz adopting transmission configuration; the spectral response of atacamite and antlerite is reported for the first time in literature in this frequency range. The absorption spectra of the two copper-based pigments showed the presence of distinct absorption peaks defining their fingerprints. In particular, atacamite presents a peak centered at 2.45 THz and antlerite presents two spectral fingerprints centered at 1.77 and 2.52 THz; the retrieved average refractive index is 1.19 and 1.29, respectively. The absorption spectrum of azurite is in good agreement with previous works in the far infrared region and presents two sharp peaks centered at 1.83 and 2.23 THz with an average value of the refractive index of 1.65. Furthermore, by means of the same technique, it is possible to discriminate and quantify pure components in binary mixtures. This result is of great interest for the identification of pigments and metallic corrosion products, and it demonstrates that THz-CW spectroscopy can open the way to an innovative approach for the Cultural Heritage field.

Characteristics and evaluation of heavy metal pollution in a soil–wheat system of an arid oasis city in northwest China

In this paper, the Cu and Ni accumulation and contamination levels in agricultural soils and wheat around a smelter in Jinchang City in northwest China were investigated with a combination of field investigations and indoor analytical tests, using a soil–wheat system as the study area. The average Cu and Ni contents in the soil were 119.50 mg kg–1 and 123.40 mg kg–1, respectively, both of which exceeded the local soil background values. The Cu and Ni contents in 46.15% o and 26.92% of sampling sites, respectively, exceeded the screening values for soil contamination risk in agricultural land in China. The average Cu content in different parts of wheat was in the order of roots (24.22 mg kg–1) > leaves (20.11 mg kg–1) > husks (5.51 mg kg–1) > grains (4.05 mg kg–1) > stalks (3.74 mg kg–1). Furthermore, the average Ni content ranked as leaves (24.64 mg kg–1) > roots (21.12 mg kg–1) > husks (6.95 mg kg–1) > stalks (1.75 mg kg–1) > grains (0.38 mg kg–1). The health risk evaluation showed that with average hazard index values of 0.88 for adults and 1.04 for children for Cu and Ni in wheat grain, wheat in this region is unlikely to pose a health risk to adults but may pose a lesser health risk to children. The Ni bio–concentration and translocation factors in the husk and leaves of wheat were greater than those of Cu and smaller than those of Cu in the other parts of wheat. The results of this study provide basic data for the remediation of heavy metal contamination in local agricultural soils.

Ultimate strength of hybrid repaired offshore pipelines with various slenderness ratio subjected to through-thickness pitting corrosion under axial compressive loading

Offshore pipelines are susceptible to various types of corrosions where pitting corrosion is generally considered the most severe. This study aims to study the effect of ratio of Carbon Fiber Reinforced Polymer to Glass Fiber Reinforced Polymer and wrapping patterns on the repair performance of composite repair system for offshore pipelines subjected to pitting corrosion. Four sets of samples with different slenderness ratios are subjected to axial compression, where the peak loads are recorded as the performance indicator of different repair schemes. Based on the experimental results, the average repair index, which is the ratio of repaired strength to intact strength, increases from 1.06 to 1.40 as the ratio of CFRP to GFRP increases. However, 1G3C repair schemes experience brittle failure while other repair schemes show different extents of ductility upon failure. Longitudinal wrapping pattern achieves the average repair index of 1.19 while Alternate and Horizontal yields the average repair index of 1.18 and 1.15 respectively. Furthermore, Longitudinal wrapping pattern exhibits the highest rigidity followed by Alternate and Horizontal. A higher slenderness ratio can contribute to a lower repair index where the cross-sectional properties have a more prominent effect compared to sample length. The theoretical results calculated based on equations provided in ASME PCC-2 show good agreement with the experimental results as there is only a percentage difference of 5.5% between them.

Exploring the association between the built environment and positive sentiments of tourists in traditional villages in Fuzhou, China

Promoting positive emotional experiences for tourists is crucial for sustaining development in rural areas. However, existing research has limited focus on the rural built environment, particularly in developing a framework to evaluate environmental sentiment on a small to medium scale with detailed indicators. This study addresses this gap by examining the impact of the rural built environment on tourists' emotions. Natural Language Processing (NLP) technologies are employed to analyze web text data and determine the average sentiment index for traditional villages in Fuzhou, China. Additionally, data on the built environment were acquired through the HRnet segmentation model and Matlab. To assess the association between environmental indicators and the sentiment index, we used eXtreme Gradient Boosting (XGBoost), the SHapley Additive exPlanation (SHAP) model, and ArcMap software. The study demonstrated that (1) the spatial distribution of the average sentiment index was significant. Houfu Village (9.91), Qianhu Village (9.88), and Ximen Village (9.75) had the highest scores, while Doukui Village (−0.85), Jiji Village (0.2), and Qiaodong Village (0.55) had the lowest. (2) The indicators that have the most significant impact on sentiment are Openness, Greenness, and Color Complexity, with a contribution value above 0.7—followed by Enclosure, Visual Entropy, and Ground Exposure, with a contribution between 0.5 and 0.7. Furthermore, analyzing the interaction mechanism of the indicators showed a non-linear relationship. The environmental characteristics associated with high emotional index scores are openness in the range of 0.2 to 0.5, greenness in the range of 0.4 to 0.6, and color complexity in the range of 0.3 to 0.5. This study provides observations pertinent to the sustainable development of traditional village environments. The findings contribute to an understanding of how these environmental elements might be effectively designed to improve tourists' sentiment in rural settings.

The diversity, distribution, biomass, and conservation status of ichthyofauna of the Singkil peat swamp in Aceh Province, Indonesia

Abstract. Razi NM, Nasir M, Khalidin K, Savira D, Najmi I, Mahfud M, Dermawan F, Fadli N, Muchlisin ZA. 2023. The diversity, distribution, biomass, and conservation status of ichthyofauna of the Singkil peat swamp in Aceh Province, Indonesia. Biodiversitas 24: 6661-6674. The land conversion of the Singkil peat swamp into oil palm plantations poses a significant threat to the aquatic ecosystem, with potentially detrimental consequences for fish biodiversity. Several reports showed that there was no data on fish diversity in the Singkil peat swamp despite the damage occurring in the area. Therefore, this study aimed to analyze the diversity, distribution, biomass, and conservation status of Ichthyofauna in the Singkil peat swamp waters. Sampling was carried out at 13 locations from July 2023 to August 2023, and the samples were caught using gill nets, casting nets, fishing rods, and traps. A total of 934 samples were collected during the sampling, belonging to 39 species, 31 genera, and 26 families. The results showed that Cyprinidae was the most dominant family, with an average diversity index of 1.23, indicating the medium category. The average dominance index was 0.42, which was placed in the low category. Channa striata (Bloch, 1793) and Trichopodus trichopterus (Pallas, 1770) had the highest frequency of occurrence and were found in seven locations out of 13 surveyed. Furthermore, these species were categorized as frequently found based on their availability. The average fish biomass was 288.75 kg/ha, with C. striata having the largest value. Among the 39 fish species obtained, 3 species were classified as near threatened, including Anguilla bicolor (McClelland, 1844), Mystus bimaculatus (Volz, 1904), and Kryptopterus minor (Roberts, 1989), while 1 invasive sample was recorded, namely Oreochromis niloticus (Linnaeus, 1758) in one location.

Inversion of Near-Surface Aerosol Equivalent Complex Refractive Index Based on Aethalometer, Micro-Pulse Lidar and Portable Optical Particle Profiler

In order to investigate the equivalent complex refractive index of atmospheric aerosols near the Earth’s surface, we conducted measurements in the Hefei region from March to April 2022. These measurements utilized a micro-pulse lidar, an Aethalometer, and a Portable Optical Particle Profiler. These measurements encompassed aerosol particle size distribution as well as standard meteorological parameters including temperature, humidity, atmospheric pressure, and wind speed. Subsequently, this dataset was employed to develop an optimization algorithm for retrieving the equivalent complex refractive indices of near-surface aerosols. The methodology relies on lookup tables containing data for extinction efficiency and absorption efficiency factors. It operates on the premise of aerosol property stability within a defined time frame, utilizing measured extinction and absorption coefficients as simultaneous constraints during this period to inversely derive both the real and imaginary parts of the aerosol complex refractive index. Results from the simulation analysis reveal that the newly optimized retrieval algorithm, which relies on lookup tables, exhibits reduced sensitivity to instrument errors when compared to single-point constraint algorithms. This enhancement results in a more efficient and dependable approach for retrieving the aerosol complex refractive index. Empirical inversion and simulation studies were carried out to determine the aerosol equivalent complex refractive index in the Hefei region, utilizing measured data. This inversion process yielded an average complex refractive index of 1.48-i0.017 for aerosols in the Hefei region throughout the experimental period. Correlation analysis unveiled a positive association between the real part of the aerosol complex refractive index and the single-scattering albedo (SSA), whereas the imaginary part displayed a linear negative correlation with the SSA. The mathematical relationship between the real part and the SSA is y=0.19x+0.62, and the corresponding relationship between the imaginary part and the SSA is y=−5.3x+0.99. This research offers a novel method for the retrieval of the aerosol equivalent complex refractive index.

Unmanned-Aerial-Vehicle Data as an Effective Tool for the Evaluation of Ancient Khorasan and Modern Kabot Spring Wheat Varieties under Different Tillage Systems

With the changing climate, there is an increasing emphasis on drought-resistant varieties, including the ability to maintain quality production. As there is also interest in ancient wheat varieties, the aim of this study was to evaluate the growth parameters of the ancient Khorasan (Kamut®) and modern Kabot spring wheat varieties using remote sensing data. Images from unmanned aerial vehicles during four growing seasons were processed. Based on vegetation indices, the growth of these varieties and their response to meteorological conditions were evaluated, as well as the ability to resist drought and higher temperatures with respect to specific soil conditions under conventional (CT), minimum (MTC), and minimization (MTD) tillage systems. It was found that Khorasan had the lowest values of the vegetation indices on the CT variant in the dry years 2022 and 2023. On the contrary, in the previous wet years, 2020 and 2021, both varieties showed similar results. Regarding water stress, the CT variant was also the least suitable for ancient Khorasan (average Crop Water Stress Index = CWSI = 0.38). On the contrary, this variant seems to be suitable for the modern Kabot variety (CWSI = 0.29), while no significant difference between tillage variants was found for this variety. In general, water stress was easily detectable from the observed parameters in the growth phase of stem elongation (R2 up to 0.88). Regarding the individual methods of tillage and water stress, the ancient variety Khorasan performed the worst with the CT variant. MTD appeared to be the best tillage method for Khorasan cultivation in terms of water management.

Machine Learning Interpretability of Outer Radiation Belt Enhancement and Depletion Events

AbstractWe investigate the response of outer radiation belt electron fluxes to different solar wind and geomagnetic indices using an interpretable machine learning method. We reconstruct the electron flux variation during 19 enhancement and 7 depletion events and demonstrate the feature attribution analysis called SHAP (SHapley Additive exPlanations) on the superposed epoch results for the first time. We find that the intensity and duration of the substorm sequence following an initial dropout determine the overall enhancement or depletion of electron fluxes, while the solar wind pressure drives the initial dropout in both types of events. Further statistical results from a data set with 71 events confirm this and show a significant correlation between the resulting flux levels and the average AL index, indicating that the observed “depletion” event can be more accurately described as a “non‐enhancement” event. Our novel SHAP‐Enhanced Superposed Epoch Analysis (SHESEA) method can offer insight in various physical systems.

Big data-driven spatio-temporal heterogeneity analysis of Beijing's catering service industry during the COVID-19 pandemic

The Catering Service Industry (CSI) experienced profound impacts due to the COVID-19 pandemic. However, the long-term and multi-timepoint analysis using big data remained limited, influencing governmental decision-making. We applied Kernel Density Estimation, Shannon Diversity Index, and the Geographic detector to explore the spatial heterogeneity and determinants of the CSI in Beijing during the pandemic, with monthly granularity. The temporal-spatial dynamics of the CSI presented a "W"-shaped trend from 2018 to 2023, with pivotal shifts aligning with key pandemic stages. Spatial characteristics exhibited heterogeneity, with greater stability in the city center and more pronounced shifts in peripheral urban zones. Districts facing intricate outbreaks showed lower catering income, and Chinese eateries exhibited heightened resilience compared to others. The CSI displayed strong interconnections with living service sectors. Development in each district was influenced by economic level, population distribution, service facilities convenience, and the risk of the COVID-19 pandemic. Dominant factors included total retail sales of consumer goods, permanent population, average Baidu Heat Index, density of transportation and catering service facilities, infection cases and the consecutive days with confirmed cases existing. Consequently, we suggested seizing post-pandemic recovery as an avenue to unlock the CSI's substantial potential, ushering a fresh phase of growth.