Titlebook: Introduction to Formal Grammars; Maurice Gross,André Lentin Book 1970 Springer-Verlag Berlin · Heidelberg 1970 Finite.Monoid.Morphism.Semi

是贪求

Maurice Gross,André Lentinntinuous, personalized, and formative feedback. Students interact with the simulated learning system via simple text messages using mobile devices in order to change the state of the system to a desired state over time. In the process, students engage in complex problem solving activities, and the s

革新

Maurice Gross,André Lentiner aims to address the gap in the study of the processes of financial inclusion by women micro-entrepreneurs in Indonesia. The research will contribute to the pool of academic resources related to financial inclusion, micro credit, and women entrepreneurship that intend to improve the processes and

AXIS

Maurice Gross,André Lentinodernization of the way of life, the cost burden of medical care and access to medical care has become a central concern for both developed and underdeveloped countries. The number of people admitted to hospitals and medical expenditures have doubled over the past 10 years. Since the invention of ra

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Maurice Gross,André Lentin in developing countries. Conventional approaches to education via schools and other government facilities, such as public libraries and post offices, are too slow to be adopted widely by communities. Recent progress in telecommunications technologies has now opened new opportunities to accelerate t

surmount

Projection

Maurice Gross,André Lentin grounds as adsorbents in nitrate adsorption from an aqueous solution was investigated. Spent coffee ground (SCG) was activated using hydrochloric acid (HCl) and used in the batch adsorption experiment. The removal performance was evaluated at different contact times ranging between 1 and 6 h. Remov

Initial

Maurice Gross,André Lentin, by studying the impacts of soil conditioners on soil chemical properties. The experiments were arranged in split plots with duplicates for one season in the greenhouse. The treatments consisted of two different types of soil ameliorants and a hybrid mixture of substrates which were natural zeolite

军火

Maurice Gross,André Lentinto improve process efficiency and stability. Machine learning (ML) was utilized to predict the specific methane yield (SMY) and identify features important to biogas production from lignocellulosic biomass. In this work, three ML algorithms, i.e. random forest (RF), support vector regression (SVR),

胆大

PSA-velocity