Protein molecular defect detection method based on a neural network algorithm.

Proteins, as the largest macromolecules in the body, are among the most important components of the body and play very vital and important roles. These substances are made up of a series of amino acid chains that, depending on the type of protein, the number of these amino acids can reach several thousand. Proteins function differently depending on the type and location of their presence, including enzymatic activity to catalyze the process, identify microbes and cancer cells, transport substances such as respiratory gases, and signalize.

Vicarious Learning: How Entrepreneurs Enhance a Firm's International Competitiveness Through Learning From Interlocking Director Network Partners.

Applying the lens of entrepreneurial psychology, this paper examines vicarious learning as an approach that entrepreneurs can use to overcome external uncertainty of overseas investments by accumulating international know-how and experience through interlocking director connections with other experienced companies. Through the analysis of a sample of Chinese companies, our findings suggest that entrepreneurs obtaining foreign experience from interlocking partners can significantly promote their firm's international growth when investing in the same country, and that this positive effect is significant in relation to both first-degree and second-degree connections. We further find that, if an entrepreneur makes a connection with an interlocking partner in the same industry, it enhances their knowledge absorption, thereby providing a positive moderating effect, while investing in a country with a strong degree of openness weakens the effect of knowledge application, and thus plays a negative moderating role.

Variety identification of oat seeds using hyperspectral imaging: investigating the representation ability of deep convolutional neural network.

Variety identification of seeds is critical for assessing variety purity and ensuring crop yield. In this paper, a novel method based on hyperspectral imaging (HSI) and deep convolutional neural network (DCNN) was proposed to discriminate the varieties of oat seeds. The representation ability of DCNN was also investigated.

Apologies Repair Trust via Perceived Trustworthiness and Negative Emotions.

The present study examined whether perceptions of a transgressor's trustworthiness mediates the relationship between apologies and repaired trust, and the moderating role of negative emotions within this process. Chinese undergraduate students ( = 221) completed a trust game where they invested tokens in their counterpart, and either experienced no trust violation (i.e.

Determination of Total Polysaccharides and Total Flavonoids in Using Near-Infrared Hyperspectral Imaging and Multivariate Analysis.

The rapid and nondestructive determination of active compositions in (Hangbaiju) is of great value for producers and consumers. Hyperspectral imaging as a rapid and nondestructive technique was used to determine total polysaccharides and total flavonoids content in . Hyperspectral images of different sizes of flowers were acquired.

Apologies repair children's trust: The mediating role of emotions.

The current study examined whether emotions mediate the relationship between apologies and repaired trust following a transgression. Children (9- and 11-year-olds; N = 180) completed a two-round trust game where if they invested tokens in their counterpart, the tokens tripled in value and the counterpart would decide how many tokens to return. Based on participants' condition, either half of the tokens were returned, none of the tokens were returned, or none were returned followed by an apology.

Ammonia quantitative analysis model based on miniaturized Al ionization gas sensor and non-linear bistable dynamic model.

In this paper, ammonia quantitative analysis based on miniaturized Al ionization gas sensor and non-linear bistable dynamic model was proposed. Al plate anodic gas-ionization sensor was used to obtain the current-voltage (I-V) data. Measurement data was processed by non-linear bistable dynamics model.

[Application of atomic absorption spectrometry in the engine knock detection].

Because existing human experience diagnosis method and apparatus for auxiliary diagnosis method are difficult to diagnose quickly engine knock. Atomic absorption spectrometry was used to detect the automobile engine knock in in innovative way. After having determined Fe, Al, Cu, Cr and Pb content in the 35 groups of Audi A6 engine oil whose travel course is 2 000 -70 000 kilometers and whose sampling interval is 2 000 kilometers by atomic absorption spectrometry, the database of primary metal content in the same automobile engine at different mileage was established.

[Application of ICP-AES in automotive hydraulic power steering system fault diagnosis].

The authors studied the innovative applications of the inductively coupled plasma-atomic emission spectrometry in automotive hydraulic power steering system fault diagnosis. After having determined Fe, Cu and Al content in the four groups of Buick Regal 2.4 main metal power-steering fluid whose travel course was respectively 2-9 thousand kilometers, 11-18 thousand kilometers, 22-29 thousandkilometers, and 31-40 thousand kilometers, and the database of primary metal content in the Buick Regal 2.

[The application of atomic absorption spectrometry in automatic transmission fault detection].

The authors studied the innovative applications of atomic absorption spectrometry in the automatic transmission fault detection. After the authors have determined Fe, Cu and Cr contents in the five groups of Audi A6 main metal in automatic transmission fluid whose travel course is respectively 10-15 thousand kilometers, 20-26 thousand kilometers, 32-38 thousand kilometers, 43-49 thousand kilometers, and 52-58 thousand kilometers by atomic absorption spectrometry, the authors founded the database of primary metal content in the Audi A6 different mileage automatic transmission fluid (ATF). The research discovered that the main metal content in the automatic transmission fluid increased with the vehicles mileage and its normal metal content level in the automatic transmission fluid is between the two trend lines.

[On the problem of period division in Western medicine education of republic (1912 - 1949)].

The development of higher medical education in the period of the Republic of China was closely related to political changes. Both the development law of education history and social changes should be taken into account in the historical stage of with the division of higher medical education during this period. The higher medical education during this period could be divided into three periods: the struggling embryonic period (1912 - 1926), the golden localization period (1927 - 1937) and the nadir period (1937 - 1949).