Abstract: Embodiments of the present disclosure provide a method and system for generating a fertilizer formula, the method is executed by a processor, comprising: obtaining a basic formula for fertilization; obtaining monitoring data based on a monitoring device; determining a soil feature of a predetermined point based on the monitoring data; determining an experiment scheme and experimental parameters based on the soil feature and an experimental design; determining a fertilization dosage and conducting an intelligent planting experiment based on the fertilization dosage and the basic formula for fertilization; obtaining experimental parameters and experimental yield data of each experimental processing, and optimized yield data of an optimized fertilization processing, and storing the experimental parameters, experimental yield data, and the optimized yield data in a storage unit; and determining a model for reduced fertilization of nitrogen, phosphorus, and potassium nutrients and generating the fertilizer formula

Abstract: Provided is an Interleukin-1 Receptor Antagonist (IL-1RN) protein or a variant or analogue thereof, and a fusion protein comprising the following three-parts: the Interleukin-1 Receptor Antagonist protein or a variant or analogue thereof, a domain for half-life extension and an optional tumor necrosis factor receptor 2, and the preparation method and use thereof. The above-mentioned protein mutant and fusion protein have the effects of extended half-life, improved affinity with interleukin-1 receptor and superior biological activity, and find use in the field of treatment and prevention of inflammatory-associated diseases.

Abstract: One or more embodiments of the present disclosure provide a special water-soluble fertilizer for delaying decay of a Huanglongbing (HLB)-affected tree. The raw materials of the special water-soluble fertilizer may include, in parts by weight, 3-5.5 parts of ammonium polyphosphate, 7.0-12 parts of ammonium nitrate phosphorus, 13-22 parts of potassium nitrate, 7.5-13.5 parts of ammonium sulfate, 0.8-1.5 parts of urea, 10.5-18 parts of EDTA chelated calcium, 12-21 parts of calcium magnesium nitrate, 3.5-7 parts of citric acid and 150-400 parts of straw vinegar; and a solid content of the straw vinegar may be greater than or equal to 15%. The raw materials may further include 1.3-2.5 parts of EDTA chelated manganese and 1.5-3 parts of manganese sulfate monohydrate. The raw materials may further include 0.25-0.5 part of disodium tetraborate pentahydrate.

Abstract: One or more embodiments of the present disclosure provide a special water-soluble fertilizer for delaying decay of a Huanglongbing (HLB)-affected tree. The raw materials of the special water-soluble fertilizer may include, in parts by weight, 3-5.5 parts of ammonium polyphosphate, 7.0-12 parts of ammonium nitrate phosphorus, 13-22 parts of potassium nitrate, 7.5-13.5 parts of ammonium sulfate, 0.8-1.5 parts of urea, 10.5-18 parts of EDTA chelated calcium, 12-21 parts of calcium magnesium nitrate, 3.5-7 parts of citric acid and 150-400 parts of straw vinegar; and a solid content of the straw vinegar may be greater than or equal to 15%. The raw materials may further include 1.3-2.5 parts of EDTA chelated manganese and 1.5-3 parts of manganese sulfate monohydrate. The raw materials may further include 0.25-0.5 part of disodium tetraborate pentahydrate.

Abstract: A method of adjusting the inputs to an industrial process, which can be any process such as the chemical, pharmaceutical, food processes and so on, comprising modelling the process output based on the input variables using regression techniques. The method provides for pre-identified variables not to be subjected to the penalty while the other variables may be penalised to zero by the regression techniques. This provides a model which can discriminate between the variables.

Abstract: Provided is a fusion polypeptide as an antagonist for IL4 and IL13. Also provided is a pharmaceutical composition comprising the fusion polypeptide and a pharmaceutically acceptable excipient.

Abstract: A stabilization method and mechanism for model structure learning is described. A model is built based on a full data set. The full data set is partitioned into cross validation (CV) folds. A set of model structures of the model are cross validated for each CV fold while penalizing structural deviations from the model to determine CV errors. A model structure is selected from the set of model structures based on a comparison of CV errors with an industrial data set.