Remote sensing-based prediction of organic carbon in agricultural and natural soils influenced by salt and sand mining using machine learning.

It is important to keep soil organic carbon (SOC) in balance to ensure soil health and quality. In this manner, mining activities have crucial impacts on SOC stocks, especially in semi-arid and arid regions such as Iran. For this purpose, SOC was measured at 180 randomly selected points in both natural and agricultural soils in the central part of Iran. Machine learning methods, such as GEP (Genetic Expression Programming), SVR (Support Vector Regression), and ANNs (Artificial Neural Networks), were developed and employed to estimate SOC for all sampled points, including both natural and agricultural soils. Following that, topography and remotely sensed data were employed as input variables to improve SOC prediction influenced by mining. The remotely sensed data and topography factors were extracted from Landsat 9 images and Digital Elevation Models (DEMs), respectively. Input variables were considered in three scenarios, including the use of topography factors (scenario I), the use of remote sensing data (scenario II), and the use of both topography factors and remote sensing data (scenario III). The results of this study showed that the most effective model for predicting SOC across all sampled data was SVR (ME = -0.1539%, R2 = 0.642 and RMSE = 0.620%) when employing scenario III. Furthermore, the results indicated that the optimal method for both natural and agricultural soils was the SVR method when employing scenario III. Further analysis through mapping SOC contents showed that mining activities influenced the distribution of SOC in the studied region. Overall, the predicted maps of SOC contents indicated that lower SOC contents were predominantly distributed in the vicinity of salt and sand mines, particularly in salt-rich areas, for both natural and agricultural soils.

Blood-conserving and therapeutic efficacy of intravenous tranexamic acid at different time points after primary total knee arthroplasty with tourniquet application: a randomised controlled trial.

BACKGROUND: The use of a tourniquet in combination with tranexamic acid (TXA) not only ensures clear vision, reduces intraoperative blood loss and shortens operative time but also improves cement-bone inter-digitation in total knee arthroplasty (TKA). However, there is no proof whether the blood flow blocking effect of tourniquet affects the antifibrinolytic effect of TXA, and the optimal timing of TXA administration is still unclear. Therefore, this study aims to investigate the effect of the first dose of TXA administered intravenously before tourniquet compression and release in TKA on perioperative blood loss and therapeutic efficacy in patients. METHODS: In this double-blind trial, 90 patients undergoing primary TKA were randomised into 2 groups: Group A, patients received intravenous TXA 10 min before tourniquet compression (20 mg/kg) and 3, 6 and 24 h later (10 mg/kg), and Group B, patients were treated the same as those in Group A but received intravenous TXA before tourniquet release. The primary outcomes were changes in blood loss, haemoglobin and haematocrit. Secondary outcomes included operation and tourniquet times, blood transfusion rate, subcutaneous petechiae and circumferential changes in the operated limb, visual analogue scale (VAS) score, hospital for special surgery (HSS) score, length of stay (LOS) postoperatively, complications and patient satisfaction. RESULTS: No statistically significant difference was found between the 2 groups with regard to age, sex, weight, body mass index (BMI), Kellgren-Lawrence class, preoperative blood volume, preoperative laboratory values, operation and tourniquet times, transfusion rate, knee circumference, preoperative HSS, or VAS score (P:n.s.). There was no significant difference in intraoperative blood loss (IBL) (52.7 ml vs. 63.4 ml, P = 0.07), hidden blood loss (HBL) (91.4 ml vs. 119.9, P = 0.4) or total blood loss (TBL) (144.1 ml vs. 183.3 ml, P = 0.72) between Groups A and B. Haemoglobin, haematocrit and red blood cell count (RBC) dropped to a low point on postoperative day 3 and then rebounded, returning to normal levels on day 21, and the trend of change between the 2 groups was not statistically significant (P:n.s.). There was no significant difference in subcutaneous ecchymosis incidence, knee swelling rate, HSS score, VAS score, LOS postoperatively, complication rate or patient satisfaction (P:n.s.). CONCLUSION: TXA was administered intravenously prior to tourniquet compression could effectively reduce blood loss in patients who had undergone total knee arthroplasty. However, there was no significant difference in knee swelling rate, subcutaneous bruising and petechiae incidence, knee function, complication rate or satisfaction between patients who TXA was given intravenously before tourniquet compression and release in primary TKA.

Pepper leaf disease recognition based on enhanced lightweight convolutional neural networks.

Pepper leaf disease identification based on convolutional neural networks (CNNs) is one of the interesting research areas. However, most existing CNN-based pepper leaf disease detection models are suboptimal in terms of accuracy and computing performance. In particular, it is challenging to apply CNNs on embedded portable devices due to a large amount of computation and memory consumption for leaf disease recognition in large fields. Therefore, this paper introduces an enhanced lightweight model based on GoogLeNet architecture. The initial step involves compressing the Inception structure to reduce model parameters, leading to a remarkable enhancement in recognition speed. Furthermore, the network incorporates the spatial pyramid pooling structure to seamlessly integrate local and global features. Subsequently, the proposed improved model has been trained on the real dataset of 9183 images, containing 6 types of pepper diseases. The cross-validation results show that the model accuracy is 97.87%, which is 6% higher than that of GoogLeNet based on Inception-V1 and Inception-V3. The memory requirement of the model is only 10.3 MB, which is reduced by 52.31%-86.69%, comparing to GoogLeNet. We have also compared the model with the existing CNN-based models including AlexNet, ResNet-50 and MobileNet-V2. The result shows that the average inference time of the proposed model decreases by 61.49%, 41.78% and 23.81%, respectively. The results show that the proposed enhanced model can significantly improve performance in terms of accuracy and computing efficiency, which has potential to improve productivity in the pepper farming industry.

Tests and analyses on physical and mechanical properties of fresh black fungus in picking season.

This study determined the physical and mechanical characteristics of fresh black fungus during the harvesting season to provide basic data for the development of mechanical equipment for black fungus harvesting and processing. We have conducted a comprehensive test of black fungus cultivars "Heishan". The mono-factor separation force experiments of black fungus and black fungus virgulate medium were conducted. It was noted that the tension angle was an important factor affecting the separation force, which was mainly distributed between 1.06 and 3.65 N. Besides, the average value of Poisson's ratio of black fungus was measured to be 0.445 in the tensile test of black fungus leaves using image recognition and analysis techniques, with a test error within 2.5%; and the average value of tensile elastic modulus and shear elastic modulus of black fungus leaves was 0.947 MPa and 0.327 MPa, respectively; we also found that the average tensile strength at the root of black fungus was not significantly different from that at the leaf, which was around 0.436 MPa. In addition, it was obtained that the height and thickness dimensions of black fungus in the picking season conformed to a normal distribution, and concentrated around 34.39mm and 0.92mm respectively.

Application of 3D-printed prosthesis in revision surgery with large inflammatory pseudotumour and extensive bone defect: A case report.

BACKGROUND: Hip revision surgery is the final treatment option for the failure of artificial hip joints, but it is more difficult than the initial operation. For patients with hip joint loosening around the prosthesis combined with large inflammatory pseudotumours and large segment bone defects, hip revision is even more difficult, and clinical reports are rare. CASE SUMMARY: Male, 59 years old. The patient underwent left hip replacement 35 years ago and was now admitted to hospital due to massive masses in the left thigh, shortening of the left lower extremity, and pain and lameness of the left hip joint. X-ray, computed tomography and magnetic resonance imaging revealed prosthesis loosening, left acetabular bone defect (Parprosky IIIB type), and a bone defect of the left proximal femur (Parprosky IIIA type). Inflammatory pseudotumours were seen in the left hip and left thigh. Hip revision surgery was performed using a 3D-printed custom acetabular prosthesis was used for hip revision surgery, which was produced by Arcam Electron Beam Melting system with Electron Beam Melting technology. The operation was successful, and the patient was followed up regularly after the operation. The custom-made acetabular prosthesis was well matched, the inflammatory pseudotumour was completely removed, the postoperative hip prosthesis was stable, and the old greater trochanter fracture was well reduced and fixed. The patient was partially weight-bearing with crutches 3 mo after the operation and walked with full weight-bearing after 6 mo. The hip prosthesis was stable, and there was no recurrence of inflammatory pseudotumours at the last follow-up. The Visual Analogue Scale was 3, and the Harris hip score was 90. CONCLUSION: The use of 3D-printed personalized custom prostheses for complex hip revision surgery has satisfactory surgical results and has great clinical application value.

Ternary metal composite membrane FCMNCM enhances the separation of As(â ¢) in water through the multifunctional cooperation.

More cases of arsenic contamination are reported globally, making the restoration of arsenic in water an active area of research. Especially, As(Ⅲ) is more difficult to remove than negatively charged As(Ⅴ) due to the presence of neutral H3AsO3 in the water, so to achieve efficient separation of As(Ⅲ) in water, it is very important to pre-oxidize As(Ⅲ) to As(Ⅴ). Herein, Fe-coated Cu0 doped MnO2 nanowire membrane (FCMNCM) was successfully prepared to enhance the oxidation of As(Ⅲ) to As(Ⅴ) through the combination of superoxide anion (O2·-) and MnO2 oxidation. Experimental results show that Cu0 activates oxygen to generate O2·-, the generated O2·- not only significantly enhances the conversion efficiency of As(Ⅲ) to As(Ⅴ) but also oxidize the Mn(Ⅱ)/Mn(Ⅲ) produced by the reduction of MnO2 by As(Ⅲ) to Mn(Ⅳ) again to realize multi-channel oxidation of As(Ⅲ), and the maximum separation efficiency of As(Ш) can reach 99.34%. Acidic conditions are favorable for the separation of As(Ш), and carbonate and phosphate have a serious negative effect on As(Ⅲ) separation by competing for the active site. Anti-fouling and repeatability experimental show that FCMNCM is an environmentally friendly material with long service life and excellent reusability, it provides a new platform for As(Ⅲ)-containing sewage treatment.

Hierarchical structurized waste brick with opposite wettability for on-demand oil/water separation.

Due to the variety of oily wastewater and complexity of separation system, it has put forward new challenge and requirement to separation materials for on-demand separation of various oil/water mixtures. Here, we reported a facile waste-to-resource strategy to rationally fabricate hierarchical ZnO nanopillars coating onto the surface of waste brick grains (ZnO/WBG) via simple physical process and in-situ growth technique. Specifically, the directly as-prepared ZnO/WBG possess superhydrophilic/underwater superoleophobic (UWSOB) properties and modified ZnO/WBG by organosilicon reagent possess quasi superhydrophobic/superoleophilic (SHOBI) properties. It is also worth noting that this discrete ZnO/WBG with opposite wettability can be accumulated into ZnO/WBG layer with numerous tortuous channel structure, making it feasible for on-demand separating various oil/water mixtures whether immiscible light- and heavy-oil/water mixtures or oil-in-water and water-in-oil emulsions. It has been demonstrated that the filter layers with opposite wettability exhibit high separation efficiency and flux, excellent chemical stability and admirable recyclability. Thus, this novel and cost-effective ZnO/WBG layer holds great promise for large-scale and versatile oil/water separation. Additionally, this work presents a sustainable perspective of effectively utilizing waste brick to construct workable functionalized materials with tremendous application potential, showing far-reaching value and significance in fundamental research and environmental protection.

Regulatory effects of root pruning on leaf nutrients, photosynthesis, and growth of trees in a closed-canopy poplar plantation.

A plantation of 5-year-old poplar Populus × euramericana cv. 'Neva' was used to study the regulatory effects of root pruning on nutrients, photosynthetic characteristics, and water-use efficiency (WUE) of leaves and growth rates of diameter at breast height (DBH; 1.3 m), tree height, and volume. Six root-pruning treatments were conducted with different combinations of intensity (at a distance of six, eight or ten times DBH from the trunk) and orientation (on two or four sides of the trees). Results showed that the N, P, K, photosynthetic rate, transpiration rate, and stomatal conductance of leaves were all significantly decreased by root pruning over the initial period following root pruning (30 days), but increased in the subsequent investigations. The values of the above indexes peaked in 8-2 treatment (i.e., eight times DBH distance on two sides). The leaf WUE in 8-2 treatment, and average growth rates of DBH, tree height and volume, were the highest among all treatments within 3 years of root pruning. The results indicated that the root pruning based on the appropriate selection of intensity and orientation had significant positive effects on leaf nutrients, photosynthesis, and growth of trees in a closed-canopy poplar plantation.

A Study of the Pressure-Induced Solidification of Polymers.

By using a self-designed pressure-jump apparatus, we investigated the melt solidification behavior in the rapid compression process for poly-ethylene-terephthalate (PET), polyether-ether-ketone (PEEK), isotactic polypropylene (iPP), high-density polyethylene (HDPE), and the living polymer sulfur. The experimental results clearly show that crystallization could be inhibited, and some melts were solidified to the full amorphous state for PET, PEEK, and sulfur. Full amorphous PEEK that was 24 mm in diameter and 12 mm in height was prepared, which exceeded the size obtained by the melt quenching method. The bulk amorphous sulfur thus obtained exhibited extraordinarily high thermal stability, and an abnormal exothermic transition to liquid sulfur was observed at around 396 K. Since the solidification of melt is realized by changing pressure instead of temperature and is not essentially limited by thermal conductivity, it is a promising way to prepare fully amorphous polymers. In addition, novel properties are also expected in these polymers solidified by the pressure-jump within milliseconds.

Effects of root pruning on the physicochemical properties and microbial activities of poplar rhizosphere soil.

This study aimed to determine the effects of root pruning on the physicochemical characteristics and microbial activities of poplar rhizosphere soil. The root systems of 5-year-old poplar (Populus×euramericana cv. 'Neva') trees were manually pruned at 6, 8, or 10 times diameter at breast height (DBH) from the trunk (severe, moderate, and light, respectively) along both inter-row sides. Moderate root pruning significantly increased the concentrations of amino acids, organic acids, and total sugars in the root exudates and decreased the pH of rhizosphere soil. This treatment also increased the contents of available nitrogen, phosphorus, potassium, and total organic carbon as well as high-, medium-, and low-activity organic carbon in rhizosphere soil. Moreover, moderate pruning increased the contents of microbial biomass carbon and nitrogen, and enhanced basal respiration, in addition to decreasing the metabolic quotients in rhizosphere soil by 8.9%, 5.0%, and 11.4% compared with control, light, and severe root pruning treatments, respectively. Moderate pruning increased the growth rates of DBH, tree height, and volume to the highest levels. Furthermore, these indices were not significantly different between the light root pruning and control groups, but varied significantly between severe and moderate root-pruning treatments. Thus, root pruning, depending on the distance from the trunk, significantly influences the physicochemical properties and microbial activities in poplar rhizosphere soil.