Upscaling Remote Sensing Inversion Model of Wheat Field Cultivated Land Quality in the Huang-Huai-Hai Agricultural Region, China

It is an objective demand for sustainable agricultural development to realize fast and accurate cultivated land quality assessment. In this paper, Tengzhou city (county-scale hilly area: scale A), Shanghe county (county-scale plain area: scale B), and Huang-Huai-Hai region (including large-scale hilly and plain area: scale C and D) were taken as research areas. Through the conversion of evaluation systems, the inversion models at the county-scale were constructed. Then, the image scale conversion was carried out based on the numerical regression method, and the upscaling inversion was realized. The results showed that: (1) the conversion models of evaluation systems (CMES) are Y = 1.021x − 4.989 (CMESA−B), Y = 0.801x + 16.925 (CMESA−C), and Y = 0.959x + 3.458 (CMESC−D); (2) the booting stage is the best inversion phase; (3) the back propagation neural network model based on the combination index group (CI-BPNN) is the best inversion model, with the R2 are 0.723 (modeling set) and 0.722 (verification set). CI-BPNN and CI-BPNN-CMESA−B models are suitable for the hilly and plain areas at the county-scale, and the level area ratio difference is less than 4.87%. Furthermore, (4) the reflectance conversion model of short-wave infrared 2 is cubic, and the rest are quadratic. CI-BPNN-CMESA−C and CI-BPNN-CMESA−C-CMESC−D models realized upscaling inversion in the hilly and plain areas, with the maximum level area ratio difference being 1.60%. Additionally, (5) the wheat field quality has improved steadily since 2001 in the Huang-Huai-Hai region. This study proposes an upscaling inversion method of wheat field quality, which provides a scientific basis for cultivated land management and agricultural production in large areas.

Study of the mechanical impact of agricultural machinery on the soil

The performance of spring field work in the best agrotechnical terms and with high quality is provided by well-trained equipment. The recommendations provide for four stages of work related to the adjustment of machines and quality control of technological operations: control of working bodies and components of machines after repairs or new ones are delivered; technological adjustments of machines; verification of technological adjustments in the field; quality control of technological operations in the field. As a criterion for the efficiency of the use of energy resources in agriculture, some foreign sources recommend the output of agricultural products per unit of energy used. The article describes the regression equations that can be used to characterize the process of grinding sedge hummocks on the root with a milling cutter. Statistically significant factors affecting the degree of grinding of the hummock are the speed of rotation of the working body, the distance between the tiers of knives, the speed of movement, the angle of taper of the rotor and the angle between the knives on adjacent tiers. Thus, layer-by-layer milling most fully meets the requirements of pre-sowing tillage on land in the oatmeal zone.

Quench position reconstruction through harmonic field analysis in superconducting magnets

The performances of superconducting magnets for particle accelerators are limited by instabilities or disturbances which lead to the transition of the superconducting material to the normal resistive state and the activation of the quench protection system to prevent damage to the magnet. To locate the position of the state transition, voltage taps or quench antenna are the most commonly used technologies for their reliability and accuracy. However, during the production phase of a magnet, the number of voltage taps is commonly reduced to simplify the construction process, and quench antennae are generally used only for dipoles or quadrupoles to limit the antenna design complexity. To increase the accuracy in the reconstruction of the quench event position, a novel method, suitable for magnets with independent superconducting coils and quench protected without the use of quench heaters is proposed in this paper. This method, based on standard magnetic measurement techniques for field harmonic analysis, can locate the position of the superconductor transition inside the magnet after the quench event when the magnet has been discharged. Analyzing the not allowed harmonics produced in the field quality at zero current, the position of the quenched coils can be retrieved for any magnet orders without increasing the complexity of the dedicated measurement technique.

IMPLEMENTASI STRATEGI MARKETING MIX DALAM UPAYA MENINGKATKAN JUMLAH PESERTA DIDIK DI TK AL HUDA KOTA MALANG

This research aims to explain the implementation of marketing mix strategy in an effort to increase the number of students in Al Huda Kindergarten malang. This type of research belongs to qualitative research. Data is collected using observation, interview, and documentation techniques. The data analysis step consists of data presentation, data reduction, and then drawing conclusions. The results showed that Al Huda Kindergarten successfully used a marketing mix strategy in an effort to increase the number of students. In this effort, the marketing mix strategy used in the form of 7P method, which consists of: product, price, place, promotion, people, physical evidence, and process. The products offered by Al Huda Kindergarten are Islamic religious-based schools and care about the environment with a superior program of junk blessings. The cost stipulated adjusts the economic level of the surrounding residents. The location of the school is strategic. Promotional activities are conducted with print media, online, and into the field. Quality human resources and continuous efforts to develop. The physical evidence of Al Huda Kindergarten has good infrastructure and is constantly updated. While the learning process is carried out using a group learning model based on the angles of the activity.

The role of water in host-guest interaction

One of the main applications of atomistic computer simulations is the calculation of ligand binding free energies. The accuracy of these calculations depends on the force field quality and on the thoroughness of configuration sampling. Sampling is an obstacle in simulations due to the frequent appearance of kinetic bottlenecks in the free energy landscape. Very often this difficulty is circumvented by enhanced sampling techniques. Typically, these techniques depend on the introduction of appropriate collective variables that are meant to capture the system’s degrees of freedom. In ligand binding, water has long been known to play a key role, but its complex behaviour has proven difficult to fully capture. In this paper we combine machine learning with physical intuition to build a non-local and highly efficient water-describing collective variable. We use it to study a set of host-guest systems from the SAMPL5 challenge. We obtain highly accurate binding free energies and good agreement with experiments. The role of water during the binding process is then analysed in some detail.