Optimal Mode Research Articles

An adaptive feature mode decomposition-guided phase space feature extraction method for rolling bearing fault diagnosis

Abstract The extraction of fault features from rolling bearings is a challenging and highly important task. Since they have complex operating conditions and are usually under a strong noise background. In this study, a novel approach termed phase space feature extraction guided by an adaptive feature mode decomposition (AFMDPSFE) is proposed to detect subtle faults in rolling bearings. Initially, a new method using Kullback-Leiber divergence is introduced to automatically select the optimal mode number and filter length for the decomposition of vibration signals, facilitating the automatic extraction of optimal components and ensuring efficient screening. This eliminates the need for manual configuration of feature mode decomposition parameters. Furthermore, a criterion that could determine two crucial parameters to capture system dynamics characteristics in phase space reconstruction is embedded into AFMDPSFE algorithm. Subsequently, a series of high-dimensional independent components is derived. The envelope spectrum of the principal component exhibiting the highest kurtosis value is computed to achieve fault identification, consequently enhancing the separation of signal from noise. Both simulations and experimental results confirm the effectiveness of AFMDPSFE approach. A comparison analysis shows the excellent performance of AFMDPSFE in extracting fault features from significant noise interference.

The optimal product-line selling mode in online platforms

The burgeoning success of online retailing has prompted numerous manufacturers to sell their product lines through digital platforms. Despite this trend, the optimal product-line selling mode for both manufacturers and online platforms remains ambiguous. This study aims to address this uncertainty by developing an analytical model. In this model, a manufacturer offers a product line consisting of two quality-differentiated products. Concurrently, an e-tailer (online platform) provides both the first-party and third-party modes, catering to consumers with heterogeneous preferences for product quality. The analysis reveals that when the high-quality product's quality level is sufficiently low, the manufacturer achieves maximum profit by wholesaling the high-quality product with the first-party mode but directly selling the low-quality product via the third-party mode; otherwise, the manufacturer maximizes profit by directly selling both products via the third-party mode. For the e-tailer, when the high-quality product's quality level is moderate, he can gain the highest profit by encouraging the manufacturer to wholesale both products with the first-party mode. However, when the high-quality product's quality level is sufficiently low (high), the e-tailer can obtain the highest profit under the case where the manufacturer sells the high-quality product via the third-party (first-party) mode but distributes the low-quality product with the first-party (third-party) mode. The intuition lies in the competition dynamics and the double marginalization effect under different selling modes.

Effect of ultrasonic pretreatment on antifreeze activity of gluten antifreeze polypeptide

In this study, the effects of thermal hysteresis activity, ice recrystallization inhibition, amino acid composition and surface hydrophobicity of different ultrasonic pretreatments on gluten antifreeze polypeptide was studied.The results of the thermal hysteresis activity showed that the collaborative (flat-panel combined probe) ultrasonic working mode was superior to the single-frequence ultrasound mode. In the optimal working mode (15 min, 100 W/L), the results of polarized light microscope and gel chromatography column showed that ultrasonic pretreatment could effectively inhibit the growth of ice crystals, reduced the size of ice crystals, and to a certain extent, transfer the molecular weight distribution of peptides to small molecular peptides. The molecular weight was mainly concentrated at about 200–1000 u. The contents of Valine, Methionine, Leucine, Proline and Glutamic acid residues in the gluten antifreeze polypeptide pretreated by ultrasonic wave were relatively high and more hydrophobic groups were exposed. The secondary structure results showed that the molecular conformation of the polypeptide was mainly α-helix and β-sheet conformations.This paper systematically revealed the intrinsic correlation mechanism between the changes of key domains of substrate proteins and the antifreeze activity of enzymatic hydrolysis products assisted by ultrasoud, providing a theoretical basis for the preparation of antifreeze polypeptide.

Multi-step ozone concentration prediction model based on improved secondary decomposition and adaptive kernel density estimation

Accurately predicting ozone concentration is crucial for human pollution prevention and health protection. In recent years, decomposition ensemble frameworks have been widely applied to ozone concentration forecasting. However, due to the inefficiencies of secondary decomposition and insufficient emphasis on interval predictions, developing a stable and efficient model for ozone concentration prediction remains a challenging task. Therefore, this study proposes a hybrid model based on an improved secondary decomposition algorithm (ISD) and adaptive kernel density estimation (AKDE). The original sequences are initially decomposed and reconstructed using Complex Empirical Mode Decomposition (CEEMD) and K-means clustering based on sample entropy. Subsequently, Optimal Variational Mode Decomposition (OVMD) is employed to address the strong fluctuations in high-frequency components, followed by establishing individual Long Short-Term Memory (LSTM) prediction models for each component. The error correction model is then constructed by combining ISD and Gated circulation unit (GRU), culminating in uncertainty quantification using AKDE. Empirical analysis of the Beijing and Shanghai, China datasets shows that the average R2 of their multi-step forecasts are 0.9966 and 0.9938, respectively, which are significantly better than the baseline model.

Fusion prediction strategy-based dynamic multi-objective sparrow search algorithm

Solving dynamic multi-objective optimization problems with time-varying Pareto front (PF) or Pareto set (PS) is a challenging task. Such problems require algorithms to react to environmental changes and efficiently track optimal solutions. For this purpose, a dynamic multi-objective sparrow search algorithm (SSA) with fusion prediction strategy, based on difference model and kernel extreme learning machine (DMOSSA-FPS), is proposed. Given the diversity of change characteristics, a single prediction model is insufficient. Therefore, based on the historical information of the population, a difference model and a kernel extreme learning machine are integrated for PS prediction. The former is used to predict the solutions of some individuals under approximate linear changes and the latter is employed for nonlinear predictions. In a new environment, the combined predictions increase the diversity of the initial population. Additionally, a new static optimizer is proposed, which combines decomposition- and dominance-based approaches to constitute a new individual screening mechanism. Then the optimization mode of SSA is introduced to enhance both algorithmic diversity and convergence rate. The experimental results on the DF test suite demonstrate that, compared with several other advanced algorithms, DMOSSA-FPS exhibits stronger convergence and robustness.

An Adaptive Noise Reduction Method for High Temperature and Low Voltage Electromagnetic Detection Signals Based on SVMD Combined with ICEEMDAN.

In view of the low signal-to-noise ratio (SNR) of shear wave electromagnetic acoustic transducers (EMAT) in the detection of high-temperature equipment, the use of low excitation voltage (LEV) further deteriorates the detection results, resulting in the echo signal containing defects being drowned in noise. For the extraction of the EMAT signal, an adaptive noise reduction method is proposed. Firstly, the minimum envelope entropy is taken as the fitness function for the Harris Hawks Optimizer (HHO), and the optimal successive variational mode decomposition (SVMD) balance parameter is searched by HHO adaptive iteration to decompose LEV EMAT signals at high temperatures. Then the filter is carried out according to the excitation center frequency and correlation coefficient threshold function. Then, improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) is used to decompose the filtered signal and combine the kurtosis factor to select the appropriate intrinsic mode functions. Finally, the signal is extracted by the Hilbert transform. In order to verify the effectiveness of the method, it is applied to the low-voltage detection of 40Cr from 25 °C to 700 °C. The results show that the method not only suppresses the background noise and clutter noise but also significantly improves the SNR of EMAT signals, and most importantly, it is able to detect and extract the 2 mm small defects from the echo signals. It has great application prospects and value in the LEV detection of high-temperature equipment.

Jejunostomy feeding plus oral feeding versus intravenous nutrition plus oral feeding after esophageal cancer resection: a comparative retrospective cohort study.

There are multiple choices for the nutritional management mode after esophageal cancer surgery. Currently, there is still controversy regarding which nutritional management mode has an impact on the postoperative recovery and overall survival (OS) of patients. This study aims to compare the differences between two commonly used clinical nutritional management modes: jejunostomy feeding plus oral intake (JF plus OI) and intravenous nutrition plus oral intake (IN plus OI), in terms of short-term efficacy and 3-year OS, in order to further explore the optimal mode of enteral nutrition management after esophageal cancer surgery. We evaluated esophageal cancer patients who underwent radical surgery at Union Hospital of Fujian Medical University between January 1, 2010 and January 1, 2020. The purpose of this analysis was to compare the perioperative complications, Nutritional Risk Screening 2002 (NRS2002) nutritional scores at 1 week, 2 weeks, 1 month, and 3 months after surgery, as well as the 3-year OS rates, between two different nutritional management approaches: JF plus OI and IN plus OI following esophageal cancer surgery. Among the 822 patients included, 668 and 154 patients belonged to JF plus OI and IN plus OI groups, respectively. After propensity score matching, 149 patients per group were evaluated. The amount of gastric drainage fluid was higher in the IN plus OI group (P<0.05), and the incidence of postoperative gastrointestinal emptying disorder and intestinal obstruction was significantly higher in the JF plus OI group (P<0.05). The IN plus OI group had a higher incidence of perioperative hypoproteinemia (P<0.05), and a higher risk of malnutrition in 2 weeks after surgery (P<0.05). The 3-year OS was not significantly different (P>0.05). JF plus OI may be the preferable nutritional management approach after esophageal cancer resection as it can potentially reduce perioperative nutritional deficiency. However, attention should be paid to the risk of gastrointestinal emptying and intestinal obstruction associated with JF.

Using Video Technology and AI within Parkinson's Disease Free-Living Fall Risk Assessment.

Falls are a major concern for people with Parkinson's disease (PwPD), but accurately assessing real-world fall risk beyond the clinic is challenging. Contemporary technologies could enable the capture of objective and high-resolution data to better inform fall risk through measurement of everyday factors (e.g., obstacles) that contribute to falls. Wearable inertial measurement units (IMUs) capture objective high-resolution walking/gait data in all environments but are limited by not providing absolute clarity on contextual information (i.e., obstacles) that could greatly influence how gait is interpreted. Video-based data could compliment IMU-based data for a comprehensive free-living fall risk assessment. The objective of this study was twofold. First, pilot work was conducted to propose a novel artificial intelligence (AI) algorithm for use with wearable video-based eye-tracking glasses to compliment IMU gait data in order to better inform free-living fall risk in PwPD. The suggested approach (based on a fine-tuned You Only Look Once version 8 (YOLOv8) object detection algorithm) can accurately detect and contextualize objects (mAP50 = 0.81) in the environment while also providing insights into where the PwPD is looking, which could better inform fall risk. Second, we investigated the perceptions of PwPD via a focus group discussion regarding the adoption of video technologies and AI during their everyday lives to better inform their own fall risk. This second aspect of the study is important as, traditionally, there may be clinical and patient apprehension due to ethical and privacy concerns on the use of wearable cameras to capture real-world video. Thematic content analysis was used to analyse transcripts and develop core themes and categories. Here, PwPD agreed on ergonomically designed wearable video-based glasses as an optimal mode of video data capture, ensuring discreteness and negating any public stigma on the use of research-style equipment. PwPD also emphasized the need for control in AI-assisted data processing to uphold privacy, which could overcome concerns with the adoption of video to better inform IMU-based gait and free-living fall risk. Contemporary technologies (wearable video glasses and AI) can provide a holistic approach to fall risk that PwPD recognise as helpful and safe to use.

Fatigue fracture of 316L steel manufactured by selective laser melting method

The kinetics of short cracks in 316L steel samples made by selective laser melting was studied. The structural sensitivity of such cracks, which form on technological defects at the early stage of fatigue is noted. The cracks develop predominantly along the fusion boundaries and slow down their growth at the boundaries of the melt pools. An increase in the crack opening of arrested cracks lead to the formation of a plastic zone at their tips, localization of deformation, a decrease in opening and continued growth with an increase in the number of cycles. The alternation of the processes of propagation and deceleration of short cracks during loading is reflected in the kinetic diagram of fatigue failure which has rate growth thresholds with spacing between them being close to the scanning step during steel manufacturing. The diagram is described by the Paris equation with the same exponent at the growth stage of both short and long cracks. The plotted fatigue curve was compared with fatigue curves for the same material produced by traditional and additive methods. It was shown that the plotted fatigue curve, as well as the fatigue curves for similar materials taken from literary sources, lie much lower than the fatigue curve for the same steel obtained by the traditional method. However, the use of optimal manufacturing modes, as well as subsequent heat treatment, leads to the fatigue characteristics of «additive» steel being similar to those of steels produced by the traditional method. The macro- and microrelief of the fracture surfaces of the samples was studied, the stages of stable and accelerated crack growth were identified, the crack lengths at fracture surfaces corresponding to these stages were evaluated and the predominate fracture mechanisms at each stage were described. It is shown that the observed knee point in the fatigue curve is accompanied by an increase in the damage of the lateral surface of the samples with an increase in the stress amplitude and transition to a more ductile fracture relief, which is explained by the switch from the plane-strain state to a plane-stressed state of the sample material realizing at the tip of the macrocrack.

Crashworthiness analysis and optimization design of special-shaped thin-walled tubes by experiments and numerical simulation

Thin-walled structures are widely used as typical high-efficiency energy-absorbing structures in crash safety protection. This paper aims to combine the characteristic of the square tube which concentrates energy dissipation through angle elements with the stable fold deformation of the circular tube, and innovatively propose a special-shaped thin-walled tube that contains both angle elements and arc elements. The failure behavior and energy absorption characteristics of the special-shaped tube were investigated by compression test and numerical simulation. The simulation results showed that the special-shaped thin-walled tubes have a significant advantage in energy absorption, and the specific energy absorption of the special-shaped tubes is 31.57% and 75.2% higher than that of the equal-mass circular and square tubes, respectively. Next, through finite element analysis, the effects of various parameters and initial imperfections on the crashworthiness of the special-shaped tubes were compared. The results indicated that adjustments to geometrical parameters significantly impact the energy absorption properties and crushing behavior of thin-walled tubes. Moreover, the tube with induced circular holes exhibited an optimal deformation mode. Further, a multi-objective optimal design of the metal special-shaped tube was carried out to obtain the best parameter configuration of the metal special-shaped tube. Finally, the special-shaped structure was extended to CFRP/AL hybrid thin-walled tubes. The failure behavior and energy absorption enhancement mechanism of the hybrid special-shaped tubes were investigated with experiments, and the absorbed energy of the hybrid tube was about 20% higher than the sum of the absorbed energy of the single constituent tubes. The effect of the CFRP lay-up pattern on the crashworthiness of the hybrid tube was investigated by numerical simulation, and it was found that the energy absorption capacity of the hybrid tube could be improved by appropriately increasing the number of layers and the proportion of axial fibers.

STUDY OF SORPTION PROPERTIES OF OXIDIZED SORBENTS OBTAINED FROM DOGWOOD SEEDS

The results of studying the sorption properties of bifunctional carbon sorbents obtained from dogwood seed shells are presented. It is shown that the greatest content of surface oxygen-containing groups is provided by oxidation of carbonizates by hydrogen peroxide generated in an electrochemical cell. The optimal oxidation mode was the use of 5 M sulfuric acid solution as an electrolyte, and the current density was 15 mA/cm2. The sorption of Fe2+, Cu2+, Ni2+, Sn2+, Al3+, Mg2+, Ca2+ ions was studied under static conditions at pH 1.5–6.0. It is shown that the highest degree of extraction of these ions is observed at pH 4.5–5.0. The optimal conditions of extraction of the ions, distribution coefficients and static sorption capacities are presented. According to the distribution coefficients, the indicated ions are distributed as follows: Fe2+ &gt; Cu2+ &gt; Ni2+ &gt; Sn2+ &gt; Al3+ &gt; Mg2+ &gt; Ca2+.

Two-stage knowledge-assisted coevolutionary NSGA-II for bi-objective path planning of multiple unmanned aerial vehicles

This paper focuses on the bi-objective path planning problem of multiple unmanned aerial vehicles (UAVs) under the complex environment with numerous obstacles and threat areas, where the UAVs need to be kept as far away as possible from threat areas during flight. Based on the integrated energy reduction perspective, a bi-objective model is subtly constructed by minimizing the total energy consumption of each path (including flight altitude, horizontal turns, and path length), and minimizing the costs of the total threats (including ground radar, anti-aircraft gun, missile and geological hazard threat areas). Moreover, a two-stage knowledge-assisted coevolutionary NSGA-II algorithm is novelly proposed to enhance collaboration and avoid collision. The first stage is designed for population convergence, where the considered constrained problem is solved with the help of the designed problem without the constraints of threats and obstacles. The second stage emphasizes the quality and diversity of solutions. In this stage, a double-population coevolution approach is developed. Additionally, a multi-mode strategy is introduced for the inferior population, leveraging reinforcement learning. This strategy aids in selecting the optimal mode from random swing, directed guidance, and potential dominance exploration. Furthermore, experimental results in two different environments show that the proposed algorithm can better solve the collaborative path planning problem for multiple UAVs compared with other five classical or recent proposed algorithms.

Exploring the concepts of consumer feedback systems for occupational therapy student learning during practice placements: A scoping review.

Consumer contribution to occupational therapy student learning is mandated for Australian educational programs. However, there is limited research about how consumers contribute to student learning during practice placements. A scoping review was completed to explore the concepts of existing feedback systems for consumers to authentically contribute to student learning during practice placements. Five databases were searched for all articles up to and including July 2023. All publications were included if they described and investigated authentic contribution to student learning during a practice placement experience. Data from the results and discussion sections of the papers were transformed into qualitative data and thematically analysed to develop a conceptual understanding of consumer feedback systems. Forty-six papers met the eligibility criteria. Most articles originated from Medicine (30%) and Nursing (45%) education. Feedback systems were primarily designed to critique student communication and professional behaviours using a variety of standardised and non-standardised methods. Five interconnected themes were created that addressed the concepts of consumer feedback systems. The themes were (1) creating value specific for each stakeholder is essential, (2) preparation is required and nuanced; (3) consumers do engage and provide critical feedback when the system is supportive of all stakeholders; (4) gathering approaches need to be responsive to the diversity of practice and learning; (5) processing feedback with a trusted mentor is critical for learning. Consumers, academics, practice educators, and students recognised that consumers have an important role in contributing to student learning during practice placements. Future consumer feedback systems need to be co-produced to create an optimal mode for consumers to authentically contribute to student learning constructively and safely. A consumer consultant was a member of the advisory panel for the larger research project that this review is part of and provided advice to the research team at all stages of the project. In Australia, occupational therapy training programs require input from consumers to help students learn. However, there is not much research on how consumers help occupational therapy students during their practical training. We did a review to see how existing feedback systems let consumers genuinely help students during their training. We searched five databases for research up to July 2023. We included research that talked about how consumers help all health students learn during practical training. We found 46 articles, mostly from Medicine and Nursing education. We analysed them to understand how consumer feedback systems work and found five main themes: (1) making sure everyone involved gets value out of it, (2) being prepared is important, (3) consumers give useful feedback when the system supports everyone involved, (4) different approaches are needed because practices and learning vary, and (5) discussing feedback with other people helps students learn. Current feedback systems mostly focused on how students communicate and behave professionally. Consumers, educators, and students all agree that consumers play a vital role in helping students learn during practical training. In the future, we need to work together to make feedback systems that let consumers help students in the best way possible, making sure it is constructive and safe for everyone.

Research on the algorithm for optimal selection of detection modes for rail crack detection

In the application of ultrasonic guided wave testing for rail crack detection, it is necessary to select a guided wave mode that is more sensitive to cracks as the detection mode. However, ultrasonic guided waves have multi-mode and dispersive characteristics. In order to extract mode information from complex signals, this paper proposes an optimal detection mode selection method based on the sensitivity of guided wave modes to cracks. This method is different from the traditional method of determining mode types by calculating the mode velocity through the arrival time of wave packets in the time domain signal. Based on the dispersion characteristics and mode features of guided wave modes, this paper establishes a crack sensitivity evaluation index. In a wide frequency band and among numerous modes, the guided wave modes suitable for detecting cracks in different regions of the full cross-section of rails are accurately selected. Experimental results show that the guided wave modes selected by the mode selection method proposed in this paper, based on the crack area energy and crack reflection intensity evaluation indexes, can accurately identify rail cracks, laying a foundation for the research on rail crack detection and localization methods.

Alkali-driven Donnan dialysis for efficient ammonia recovery from wastewater: Performance, mechanism and optimization

Recovery of ammonia from wastewater is of practical importance toward a sustainable society. To this end, concentration-driven Donnan dialysis (DD) is a promising recovery method especially for its simplicity and negligible energy consumption. Upon the traditional salt-driven DD, the conceptive alkali-driven DD significantly enhanced mass transfer and removal efficiency, yet their performance in terms of key process parameter were not deeply understood and further optimization remained unclear. Models for salt (NaCl) and alkali (NaOH)-driven DD processes were thus established and the ammonia transfer was theoretically investigated. The results showed that a fluctuated Donnan equilibrium constant was found responsible for the superior performance of alkali-driven DD (mass transfer accelerated by 90 % than control). Interestingly, there was an optimal ammonia recovery mode via adjusting ratios of alkali/ammonia and cation/ammonia, two key parameters governing the process efficiency, based on which the salt-alkali coupling-driven DD process was further proposed. It was verified that the coupling-driven DD process achieved the ammonia removal kinetic value of 0.1632 h−1 under insufficient alkali conditions (accounting for 50 % ammonia concentration in feed) with lowest CO2 emissions of 3.49 kg CO2/kg NH4+. The descending overall efficiency of ammonia removal, following alkali-driven (0.2943 h−1) > coupling-driven (0.1632 h−1) > salt-driven (0.1228 h−1), was ascribed to the variations in the electrochemical potential of ions involved in the respective processes. In addition, the cost of chemical consumption for a coupling-driven DD process (3.99 $/kg NH4+) was close to that of a salt-driven process, but much lower than that of an alkali-driven process (14.81 $/kg NH4+). These finding insight the low-carbon and efficient recovery of ammonia from wastewater.

Anaesthetic management of obstetric patients with Chiari type I malformation: a retrospective case series and literature review

The peripartum management of obstetric patients with Chiari type I malformation remains a challenge due to the degree of cerebellar tonsillar herniation and a paucity of published evidence. There is concern about neuraxial anaesthetic blocks and uncertainty regarding the optimum mode of delivery.We systematically searched the literature for the obstetric management of patients with Chiari type I malformation, independent of publication date and language. We also searched our local hospital database from December 2009 to December 2022 for all deliveries to patients with this condition. We identified 137 cases comprising 103 deliveries described in 40 publications that met our inclusion criteria; 34 deliveries were identified in our local database. There were 84 spontaneous vaginal deliveries, 52 caesarean deliveries, and one delivery by unknown modality. Sixty neuraxial blocks were performed; approximately half of these were epidural procedures for labour analgesia. Six patients had new or worsened symptoms following delivery, but it is unclear whether these were related to their Chiari malformation. We identified no cases with brainstem herniation or severe symptoms.We discuss our findings in relation to other published literature and address the concerns described. Our review reveals the use of a variety of modes of delivery and anaesthetic techniques and that most patients suffered no neurological complication. We conclude there is no of evidence to avoid any one approach to labour analgesia, delivery and anaesthesia. We propose a holistic, individualised and patient-centred approach with an appraisal of the risks and benefits to support shared-decision making.

Fertilizer application parameters for drip-irrigated peanut based on the fertilizer effect function established from a "3414" field trial.

Scientific fertilization is an important technical means of achieving high and stable peanut yields. Using soil testing and formula fertilization, the "3414" optimal regression design was used and included 14 nitrogen (N), phosphorus (P), and potassium (K) fertilization treatments. Ternary quadratic functions of the fertilizer effect were established according to three-season field experiments and the regression analysis of fertilizer-yield function was performed to explore the optimal fertilizer application mode and ratio for peanuts under mulched drip irrigation (MDI), and a suitable fertilizer application system was established. The ternary quadratic equation relating peanut yield (y) and the fertilizer application rates of N (N), P (P2O5), and K (K2O) was obtained after fitting, i.e., y = 2912.528 + 21.432N + 16.324P + 6.181K - 0.051N2 - 0.109P2 - 0.061K2 + 0.017NP + 0.023NK + 0.086PK, and significance analysis and typicality assessment were performed. The model R 2 was 0.9709, both values are extremely significant (p < 0.01), which indicates that the obtained ternary quadratic fertilizer effect function is typical and could be used for statistical purposes and fertilization recommendations. Three quadratic fertilizer effect functions were obtained. Among them, the equation for K is extremely significant, and the equations of N and P are significant. According to the assumption that the marginal yield is zero and the marginal profit is zero, the fertilizer application rate with the maximum yield, the fertilizer application rate with the best economic benefits, and the corresponding yields were obtained. The optimal fertilizer application rate predicted by the ternary quadratic fertilizer effect function was relatively high, so the three quadratic fertilizer effect functions were used for prediction. Under the test conditions, the recommended fertilizer application rates for peanuts under MDI are 256.6 kg N per ha, 164.2 kg P2O5 per ha, and 213.2 kg K2O per ha, the recommended fertilization ratio is 1:0.64:0.83, and the recommended ratio under formula fertilization is 23:15:19. The study has developed a data-based decision support system for Xinjiang drip-irrigated peanut, which assists farmers and agricultural managers in making more scientific and precise fertilization decisions based on the specific growth requirements of the crops and soil conditions. This evidence-based methodology enhances the precision of agricultural management, which is conducive to increasing crop yields while reducing resource wastage and environmental impact. However, multipoint and multiyear experiments are still needed to ensure that the findings are adaptable to the diverse soil conditions and fluctuating climate patterns that may be encountered in practice.

Glycosylation mode of phloretin affects the morphology and stress resistance of apple plant.

Phloretin has different glycosylation modes in plants. Phlorizin (phloretin 2'-O-glucoside) is one of the glycosylation products of phloretin, and accumulates abundantly in apple plants. However, it is still unclear whether phlorizin is more beneficial for apple plants compared with other glycosylation products of phloretin. We created transgenic apple plants with different glycosylation modes of phloretin. In transgenic plants, the accumulation of phlorizin was partly replaced by that of trilobatin (phloretin 4'-O-glucoside) or phloretin 3',5'-di-C-glycoside. Compared with wild type, transgenic plants with less phlorizin showed dwarf phenotype, larger stomatal size, higher stomatal density and less tolerance to drought stress. Transcriptome and phytohormones assay indicate that phlorizin might regulate stomatal development and behaviour via controlling auxin and abscisic acid signalling pathways as well as carbonic anhydrase expressions. Transgenic apple plants with less phlorizin also showed less resistance to spider mites. Apple plants may hydrolyse phlorizin to produce phloretin, but cannot hydrolyse trilobatin or phloretin 3',5'-di-C-glycoside. Compared with its glycosylation products, phloretin is more toxic to spider mites. These results suggest that the glycosylation of phloretin to produce phlorizin is the optimal glycosylation mode in apple plants, and plays an important role in apple resistance to stresses.

Optimization of Hydrochemical Leaching Process of Kaolinite Fraction of Bauxite with Response Surface Methodology

A technology for the hydrochemical processing of the kaolinite fraction of bauxite has been developed, and it involves preliminary chemical activation in a sodium bicarbonate solution and alkaline leaching in a recycled high-modulus solution with the addition of an active form of calcium oxide. Chemical activation allows for the transformation of the difficult-to-explore kaolinite phase to form easily soluble phases of dawsonite, sodium hydroaluminosilicate and bemite. An active, finely dispersed form of calcium oxide was obtained as a result of CaO quenching in Na2SO4 solution at elevated temperature and pressure. Using a central composite design (CCD) via response surface methodology (RSM), the technological leaching mode was achieved. The influence on the leaching process was studied by adjusting the CaO/SiO2 ratio, temperature, alkaline solution concentration and duration. It was found that the determining factors are the concentration of the leaching solution and the temperature. At a stable CaO/SiO2 ratio, a combination of these two factors determines the duration of the process to achieve the predicted degree of recovery. The results of experiments carried out using the developed model of the leaching process confirmed the validity of the calculated indicators, with an error of 2.01%. In an optimal technological mode at a Na2O leaching solution concentration of 260 g/L, a temperature of 260 °C, a CaO/SiO2 ratio of 1.5 and a leaching time of 5 h, the extraction of Al2O3 into the solution was 89.7%, which is close to the value of 87.9% predicted by the model.

Impact of Imbalanced Modulation on Security of Continuous-Variable Measurement-Device-Independent Quantum Key Distribution

Continuous variable measurement-device-independent quantum key distribution (CV-MDI-QKD) removes all known or unknown side-channel attacks on detectors. However, it is difficult to fully implement assumptions in the security demonstration model, which leads to potential security vulnerabilities inevitably existing in the practical system. In this paper, we explore the impact of imbalanced modulation at transmitters on the security of the CV-MDI-QKD system mainly using a coherent state and squeezed state under symmetric and asymmetric distances. Assuming two different modulation topologies of senders, we propose a generalized theoretical scheme and evaluate the key parameter achievable of the protocol with the mechanism of imbalanced modulation. The presented results show that imbalanced modulation can achieve a relatively nonlinearly higher secret key rate and transmission distances than the previous protocol which is the balanced modulation variance used by transmitters. The advantage of imbalanced modulation is demonstrated for the system key parameter estimation using numerical simulation under different situations. In addition, the consequences indicate the importance of imbalanced modulation on the performance of CV-MDI-QKD protocol and provide a theoretical framework for experimental implementation as well as the optimal modulated mode.