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Internet information capacity is expanding and developing at a high speed every day. The huge amount of information data involves many problems, such as resources could be scattered, overlapped and confused and thus difficult for users to timely and accurately capture information suitable for them, especially in the field of education. Through the MRLG Rec algorithm, the following processes can be carried out: deep processing, characterisation of data to generate unique individual portraits of user information and to store education resource databases at the same time and analysis of recommendation system to provide users with more accurate high-quality education resources, thus forming a two-way unblocked and efficient information transmission closed-loop, which help learners find teaching resources of the time. It also has screening channels of high-quality educational resources. Through the analysis of experimental data, it is concluded that the algorithm improves the user viscosity of human-computer interaction in the teaching resource recommendation system.

Objective To investigate the feasibility of high-frequency ultrasound for the diagnosis of diastasis recti in postpartum women by assessing the inter-rectus distance （IRD） in healthy nulliparous woman and postpartum women. Method 150 healthy nulliparous volunteers （nulliparous group） and 167 postpartum women （postpartum group） were included in the study. IRD was measured at the 3 cm below the umbilicus, umbilicus and 3 cm above the umbilicus in a supine position using a high-frequency line array probe. The IRD at three sites between the two groups was compared. The 90th, 95th, and 99th percentiles of normal values of the rectus abdominis spacing obtained in the nulliparous group were used as diagnostic cut-off values for diastasis recti, and the morbidity of postpartum group was observed at different cut-off values. Results In a supine position, the IRD at 3 cm below the umbilicus was 0 （0, 1.00）mm, 11.00（7.00, 16.00）mm at the umbilicus, and 6.00（2.00, 9.00）mm at 3 cm above the umbilicus in the nulliparous group, and 4.00 （0, 12.00） mm, 27.00 （20.00, 33.00）mm and 23.00（17.00, 29.00） mm in the postpartum group, respectively. There was significant difference in the IRD at three sites between two groups （all P < 0.001）. Taking the 90th, 95th and 99th percentiles as the diagnostic cut-off values, the prevalence rates of diastasis recti in the postpartum group were 93.4%, 85.6% and 68.3%, respectively. Conclusion IRD multipoint measurement by high-frequency ultrasound is highly feasible for diagnosing diastasis recti in postpartum women.

Industrial robot is a and multi‐output complex system with strong coupling and high nonlinearity. The motion control accuracy of the system is affected by many factors. To solve the difficulty in establishing the input and output characteristics of robot dynamics modeling, the robot motion model is established through the Lagrangian energy function. At the same time, the nonlinear relationship between angular velocity, angular acceleration, and robot torque is accurately expressed through improved cascaded neural network. In addition, the optimal time planning of the robot's trajectory in joint space is studied using multinomial interpolation method and the particle swarm optimization (PSO). In the simulation experiment, the effect of the proposed dynamic model fitting was outstanding. Under the mixed multinomial difference calculation planning, the angular position trajectories of the three joints changed very smoothly. In the data set application test, the average error of the PSO algorithm was 0.4061 mm and the average task time was 9.101 s, which were lower than other planning algorithms. Experiments showed that the Lagrangian dynamic model analysis based on genetic algorithm cascaded neural network and PSO trajectory scheduling method under mixed multinomial difference had better trajectory planning performance in handling tasks. [ABSTRACT FROM AUTHOR]

Background: Pelvic floor myofascial pain is one of the pelvic floor dysfunction diseases disturbing women after delivery. There is a lack of objective standardization for the diagnosis of pelvic floor myofascial pain due to the various symptoms and the dependence on the palpating evaluation. Ultrasound imaging has the advantages of safety, simplicity, economy and high resolution, which makes it an ideal tool for the assistant diagnosis of pelvic floor myofascial pain and evaluation after treatment. Methods: This is a retrospective case-control study including women accepting evaluation of pelvic floor function at 6 weeks to 1 year postpartum. They were divided into pelvic floor myofascial pain group and normal control group. A BCL 10–5 biplane transducer was applied to observed their puborectalis. The length, minimum width, area, deficiency, deficiency length, deficiency width, deficiency area, rate of deficiency area, local thickening,angle between the tendinous arch of levator ani muscle and puborectalis of corresponding puborectalis in different groups were observed and measured. Results: A total of 220 postpartum women participated in the study, with 77 in the pelvic floor myofascial pain group and 143 in the normal control group. The Intraclass correlation coefficient value was over 0.750, and Kappa ranged from 0.600 to 0.800. puborectalis deficiency (adjusted odds ratio = 11.625, 95% confidence interval = 4.557–29.658) and focal thickening (adjusted odds ratio = 16.891, 95% confidence interval = 1.819–156.805) were significantly associated with higher odds of having postpartum pelvic floor myofascial pain. Grayscale or the angle between the arch tendineus levator ani and puborectalis measurements on the pain side tended to be smaller than on the non-pain side in patients with unilateral puborectalis or iliococcygeus pain (P < 0.05). Conclusions: This study demonstrated that transvaginal ultrasound was a potentially efficient technique for evaluating postpartum pelvic floor myofascial pain due to its ability to assess various sonographic characteristics of the levator ani muscles. [ABSTRACT FROM AUTHOR]

The achievement of excellent catalytic activity for electricity‐driven CO2 reduction over a wide potential window is significant for the mature applications. However, the efficient potential range is always limited by the dilemma in CO2 activation and product desorption at different potentials, due to the scaling relationships of adsorption energy. Herein, we developed a nanostructured Ag‐CO3 electrocatalyst featuring metallic Ag with Ag(220) orientation on the surface and Ag2CO3 beneath. The interactions between Ag and Ag2CO3 lead to lattice expansion on the surface of Ag, resulting in electron localization and accordingly enhanced CO2 activation to *COOH on Ag. Furthermore, this lattice expansion induces a change in the *CO adsorption geometry from a bridge mode to a linear mode, which compensates the promotion effect of electron localization on *CO adsorption energy. As a result, the scaling relationship between *COOH and *CO adsorption energy was disrupted, leading to enhanced *COOH adsorption and inferior *CO adsorption. Consequently, the Ag‐CO3 catalyst exhibited a high FECO (>80%) over a robust potential window of −0.8 to −1.8 V (vs. RHE), with a maximum FECO of 95% at −1.2 V (vs. RHE). The mechanism described herein offers a universal design principle for the development of high‐efficiency CO2 electroreduction catalysts that operate effectively within a broad potential range. [ABSTRACT FROM AUTHOR]

The grassland ecological compensation mechanism is a basic guarantee for promoting the sustainable utilization of grassland resources, and the reasonable determination of the compensation subject is the basic premise for the effective operation of the grassland ecological compensation mechanism. At present, grassland ecological compensation is mainly based on government compensation, and the compensation method generally adopted is financial transfer payment with a single source of compensation funds. Therefore, establishing diversified compensation entities is of great significance in expanding the sources of compensation funds. As important users of grassland resources, herders should become the main representatives of grassland ecological compensation according to the principle of "whoever uses, pays". In this study, based on survey data with respect to pastoral areas in Inner Mongolia, we used a multivariate ordered logistic regression model to empirically analyze the factors influencing the establishment of a voluntary compensation entity for herders. The results of this study showed that (1) the resource endowment factors of the respondents, including livestock inventory, grazing area, and cutting grassland area, have a significant positive impact on the willingness of herdsmen to voluntarily serve as the main representatives of grassland ecological compensation. When each influencing factor increased by one unit, the probability of voluntarily becoming a compensation subject increased by 3.5%, 1.91%, and 1.41%, respectively. (2) The factor of prohibited pasture area in the endowment of herders had a significant negative effect on their willingness to become compensation subjects, which indicates that the larger the prohibited pasture area owned by herders, the lower their grassland utilization rate and the lower their willingness to voluntarily become compensation subjects. (3) Among the cognitive factors of the respondents, "whether they will continue to support the implementation of the grassland compensation policy" had a positive promoting effect on herdsmen voluntarily becoming compensation subjects, showing that the higher the support of herdsmen for the ecological compensation system, the more willing they were to become compensation subjects. This article is based on the perspective of the sustainable utilization of grassland resources and empirically analyzes the influencing factors of herders' willingness to reduce their number of livestock. Through the voluntary reduction of livestock by herders, a voluntary compensation entity for herders is constructed. Based on the research conclusions, relevant countermeasures and suggestions are proposed, providing a reference for improving grassland ecological compensation policies and promoting the sustainable utilization of grassland resources. [ABSTRACT FROM AUTHOR]

Contract farming can reduce transaction costs and improve agricultural productivity. With the establishment of stable and effective contractual relationships, not only have agricultural products been provided with a stable market, but the standardization, refinement, and branding transformation of agricultural products can also be realized, thus further promoting the progress of agricultural modernization. The willingness of farmers to renew their contracts is a key factor in maintaining long-term, stable cooperative relationships. This research involves the empirical verification of the impact model of tie strength between enterprises and farmers in contractual agriculture on the willingness of farmers to renew their contracts and reveals the working mechanism of tie strength on sustainable participation of farmers in contract farming. We utilized survey data from 276 agricultural households in Inner Mongolia, China, and the method of structural equation modeling (SEM), with the following results: (1) Interaction and reciprocity have a significantly positive influence on trust; (2) trust has a significantly positive impact on farmers' willingness to renew their contracts. Also, reciprocity and interaction have an indirect impact on contract renewal willingness through trust; and (3) the perceived economic value can significantly increase the contract renewal willingness of farmers and plays a mediating role between trust and contract renewal willingness. Overall, on the basis of tie strength, this research provides a new perspective for the investigation of the sustainable stability of contract farming and presents empirical evidence for the sustainable development of the contract farming supply chain. [ABSTRACT FROM AUTHOR]

Recently, controlled low-strength material (CLSM) has been considered an easy-to-mix material, and the raw material is usually derived from solid waste, suggesting lower production costs. Moreover, the resource utilization of waste fosters the sustainable advancement of both society and the environment. In the present work, a CLSM with excellent performance was developed by adopting fly ash, bottom ash, desulfuration gypsum, and cement as the main cementitious materials, as well as gasification coarse slag and coal gangue as aggregates. An orthogonal experiment with three factors and three levels was designed according to the ratio of cement to binder, the contents of water, and the water-reducing agent. Further, the macroscopic properties of flowability, dry density, bleeding, compressive strength, fresh density, porosity, and absorption rate of the CLSM mixtures were tested. To optimize the CLSM proportion, the ranges of three indicators of CLSM were calculated. Experimental results manifested that the fresh and dry densities of the mixtures were within the range recommended by ACI 229. The optimal levels of cement–binder ratio (i.e., the ratio of cement to binder), water content, and water-reducing agent content are 0.24, 248 kg·m−3, and 0.80 kg·m−3, respectively. Under this condition, the flowability was 251 mm, the bleeding was 3.96%, and the compressive strength for 3 d, 7 d, and 28 d was 1.50 MPa, 3.06 MPa, and 7.79 MPa, respectively. Furthermore, the leaching values of eight heavy metals in CLSM and raw materials were less than the standard requirements, indicative of no leaching risk. [ABSTRACT FROM AUTHOR]