ABSTRACT
Transcription factors play an indispensable role in maintaining cellular viability and finely regulating complex internal metabolic networks. These crucial bioactive functions rely on their ability to respond to effectors and concurrently interact with binding sites. Recent advancements have brought innovative insights into the understanding of transcription factors. In this review, we comprehensively summarize the mechanisms by which transcription factors carry out their functions, along with calculation and experimental-based methods employed in their identification. Additionally, we highlight recent achievements in the application of transcription factors in various biotechnological fields, including cell engineering, human health, and biomanufacturing. Finally, the current limitations of research and provide prospects for future investigations are discussed. This review will provide enlightening theoretical guidance for transcription factors engineering.
ABSTRACT
The paper presents a thoroughly modified method of solving the problem of vibration suppression when boring large-diameter holes in large-size workpieces. A new approach of adjusting the rotational speed of a boring tool is proposed which concerns the selection of the spindle speed in accordance with the results of the simulation of the cutting process. This streamlined method focuses on phenomenological aspects and involves the identification of a Finite Element Model (FEM) of a rotating boring tool only and validating it with a real object, while dispensing with discrete modelling of a completely rigid workpiece. In addition, vibrations in the boring process in all directions were observed, which implies a geometric nonlinearity of the process model. During the simulation, the values of the Root Mean Square (RMS) of the time plots and the dominant values of the "peaks" in the displacement amplitude spectra were obtained. The effectiveness of the method was demonstrated using a selected mechatronic design technique called Experiment-Aided Virtual Prototyping (E-AVP). It was successfully verified by measuring the roughness of the indicated zone of the workpiece surface. The economic profitability of implementing the method in the production practice of enterprises dealing with mechanical processing is also demonstrated.
ABSTRACT
Gastrodia Rhizoma, as a precious Chinese materia medica, has attracted the attention of Chinese materia medica experts in the past dynasties for the commercial specification and experimental identification, and has gradually formed a wealth of terms concerning commercial specification and experimental identification. Through combing the literatures of successive dynasties, this paper discussed the change of the commercial specification of the Gastrodiae Rhizoma and formation of its identifying terms. It has found that the Gastrodiae Rhizoma mainly came from the dried rhizomes of the Gastrodia elata f.elata before the Qing Dynasty. Since the Qing Dynasty, G. elata in Yunnan and Guizhou gradually arose and become one of sources of mainstream commodities. After that, G. elata f. glauca and G. elata f. elata were becoming the main sources of Gastrodiae Rhizoma. Before the large-scale cultivation of G. elata in the 1970 s, there is only wild G. elata over the country. In terms of commercial specification, they were often classified into Chunma and Dongma according to their harvest time. With the successful promotion of cultivation technology and the endangered wild resources of G. elata, the Dongma became the mainstream in the market. The adulterants of G. elata increased significantly in the 1960 s and 1970 s, in this period, the terms of experimental identification for G. elata also increased obviously. Experimental identification is distinctive in different times, therefore, studying experimental identification of medicinal materials helps to promote the development of the Chinese materia medica.
Subject(s)
Drugs, Chinese Herbal , Gastrodia , Materia Medica , China , RhizomeABSTRACT
Gastrodia Rhizoma, as a precious Chinese materia medica, has attracted the attention of Chinese materia medica experts in the past dynasties for the commercial specification and experimental identification, and has gradually formed a wealth of terms concerning commercial specification and experimental identification. Through combing the literatures of successive dynasties, this paper discussed the change of the commercial specification of the Gastrodiae Rhizoma and formation of its identifying terms. It has found that the Gastrodiae Rhizoma mainly came from the dried rhizomes of the Gastrodia elata f.elata before the Qing Dynasty. Since the Qing Dynasty, G. elata in Yunnan and Guizhou gradually arose and become one of sources of mainstream commodities. After that, G. elata f. glauca and G. elata f. elata were becoming the main sources of Gastrodiae Rhizoma. Before the large-scale cultivation of G. elata in the 1970 s, there is only wild G. elata over the country. In terms of commercial specification, they were often classified into Chunma and Dongma according to their harvest time. With the successful promotion of cultivation technology and the endangered wild resources of G. elata, the Dongma became the mainstream in the market. The adulterants of G. elata increased significantly in the 1960 s and 1970 s, in this period, the terms of experimental identification for G. elata also increased obviously. Experimental identification is distinctive in different times, therefore, studying experimental identification of medicinal materials helps to promote the development of the Chinese materia medica.
Subject(s)
China , Drugs, Chinese Herbal , Gastrodia , Materia Medica , RhizomeABSTRACT
Jitter, in voice production applications, is a random phenomenon characterized by the deviation of the glottal cycle length with respect to a mean value. Its study can help in identifying pathologies related to the vocal folds according to the values obtained through the different ways to measure it. This paper aims to propose a stochastic model, considering three control parameters, to generate jitter based on a deterministic one-mass model for the dynamics of the vocal folds and to identify parameters from the stochastic model taking into account real voice signals experimentally obtained. To solve the corresponding stochastic inverse problem, the cost function used is based on the distance between probability density functions of the random variables associated with the fundamental frequencies obtained by the experimental voices and the simulated ones, and also on the distance between features extracted from the voice signals, simulated and experimental, to calculate jitter. The results obtained show that the model proposed is valid and some samples of voices are synthesized considering the identified parameters for normal and pathological cases. The strategy adopted is also a novelty and mainly because a solution was obtained. In addition to the use of three parameters to construct the model of jitter, it is the discussion of a parameter related to the bandwidth of the power spectral density function of the stochastic process to measure the quality of the signal generated. A study about the influence of all the main parameters is also performed. The identification of the parameters of the model considering pathological cases is maybe of all novelties introduced by the paper the most interesting.
Subject(s)
Glottis/physiology , Models, Biological , Vocal Cords/physiology , Female , Humans , Stochastic Processes , VoiceABSTRACT
BACKGROUND: Many orthopaedic operations involve drilling and tapping before the insertion of screws into a bone. This drilling is usually performed manually, thus introducing many problems. These include attaining a specific drilling accuracy, preventing blood vessels from breaking, and minimizing drill oscillations that would widen the hole. Bone overheating is the most important problem. To avoid such problems and reduce the subjective factor, automated drilling is recommended. METHODS: Because numerous parameters influence the drilling process, this study examined some experimental methods. These concerned the experimental identification of technical drilling parameters, including the bone resistance force and temperature in the drilling process. During the drilling process, the following parameters were monitored: time, linear velocity, angular velocity, resistance force, penetration depth, and temperature. RESULTS: Specific drilling effects were revealed during the experiments. The accuracy was improved at the starting point of the drilling, and the error for the entire process was less than 0.2 mm. The temperature deviations were kept within tolerable limits. The results of various experiments with different drilling velocities, drill bit diameters, and penetration depths are presented in tables, as well as the curves of the resistance force and temperature with respect to time. Real-time digital indications of the progress of the drilling process are shown. CONCLUSIONS: Automatic bone drilling could entirely solve the problems that usually arise during manual drilling. An experimental setup was designed to identify bone drilling parameters such as the resistance force arising from variable bone density, appropriate mechanical drilling torque, linear speed of the drill, and electromechanical characteristics of the motors, drives, and corresponding controllers. Automatic drilling guarantees greater safety for the patient. Moreover, the robot presented is user-friendly because it is simple to set robot tasks, and process data are collected in real time.