With the development of microarray technology, massive data is produced by gene expression experiments, and it provides a new approach for study human disease. Due to characteristics high dimensionality, much noise redundancy data, difficult my knowledge from profoundly accurately,and also brings enormous difficulty information genes selection. Therefore, feature selection algorithm dimensional proposed in this paper, which mainly involves two steps. In first step, mutual method used...

In the era of big data, information overload problems are becoming increasingly prominent. It is challengingfor machines to understand, compress and filter massive text through use artificial intelligencetechnology. The emergence automatic summarization mainly aims at solving problem ofinformation overload, it can be divided into two types: extractive abstractive. former finds somekey sentences or phrases from original combines them a summarization; latter needs acomputer understand content...

Recent research has revealed the notorious language prior problem in visual question answering (VQA) tasks based on visual-textual interaction, which indicates that well-developed VQA models rely learning shortcuts from questions without fully considering evidence.To tackle this problem, most existing methods focus decreasing incentive to learn knowledge by adding a question-only branch and becoming complacent mechanically improving accuracy. However, these over-correct positive biases...

A low-cost cryptographic processor for security embedded system is presented in this paper. The processor, without any assistance of dedicated coprocessors, scalable and very efficient popular algorithms such as RSA/ECC, AES, Hash, etc. Based on SMIC 0.18 um standard CMOS technology, the core circuit test chip has only about 32 k gates, a max frequency 200 MHz, under which 1024-bit RSA algorithm takes 150 ms throughout AES reaches 256 Mbits/s.

The study examines the impact of parental perception children's weight and support on physical activity (PA) by groups. Multivariate regressions weight, support, PA were conducted using parent-reported survey data. Results show that was positively associated with PA. parenting behaviors varied depending actual status. Parents may need more education help to increase their knowledge about healthy problems being outside zone.

Lysine acetylation, as one type of post-translational modifications (PTM), plays key roles in cellular regulations and can be involved a variety human diseases. However, it is often high-cost time-consuming to use traditional experimental approaches identify the lysine acetylation sites. Therefore, effective computational methods should developed predict In this study, we position-specific method for epsilon site prediction.Sequences acetylated proteins were retrieved from UniProt database....

How to mine valuable information that users are interested in from a continuous text data stream, stream classification has received widespread attention as core technology solve the problem. This paper proposes ensemble algorithm combines feature selection and topic model. Firstly, mutual method is used remove features not related classification. Secondly, LDA model establish document-topic distribution. Finally, pre-processed classified by an The experimental results show proposed can...

Reliable data transmission based on dual mode of communication (RTMDC) wireless sensor network is put forward targeting the influence electromagnetic radiation node ability. In RTDMC algorithm, dual-communication adopted for node. Intermediate failure checked in real time with D-S evidence theory DST and hypothesis testing. case intermediate node, acoustic to resist radiation. Otherwise, radio frequency normal executed. Dual-communication enhances efficiency, shortens delay, reduces energy...

Monitoring data in coal mine is essentially stream. With the change of environment, monitoring stream implied concept drifts. Coal safety evaluation can be seen as drifting classification. The method proposed this paper based on random decision tree model, and it uses Hoeffding Bounds inequality information entropy instead selection to determine split point, threshold determined by detect drift. Experimental results show better drifts stream, has classification accuracy for provides a new...

This study aimed to explore the effects of mini-clinical evaluation exercise (mini-CEX) teaching model based on nurse-faculty collaboration in Fundamentals Nursing course. A quasi-experimental design was conducted. total 111 nursing students two parallel classes were recruited from a college Guilin, China February December 2022, and allocated intervention group (n = 56) control 55). The received mini-CEX collaboration, teaching-learning process included scenario creation (10 min),...

In the 21st century, network of teaching management not only improves its quality and efficiency but also brings convenience to teachers students. However, as a application system, it faces variety security issues. order improve system security, widely-used RBAC control method is introduced in this paper. Based on refinement privilege user role, paper puts forward model "user classification, role authorization, Unified ", which more suited structure multi-level applications by controlling...

Cohesion as an indispensable linguistic feature in discourse analysis and translation has aroused many researchers’ interest. To explore the regularity shifting cohesive devices from English into Chinese our study was designed to analyze similarities differences of between medical texts (EMTs) their (CTTs). A parallel corpus consisting 15 EMTs CTTs established, each type identified, paired t-test run for statistic analysis. We have revealed that both CTTS share more than use devices; them...

With the development of global economy and increasing prosperity culture, demands consumer for cultural factors in creative products has changed put forward higher requirements. But current design quality product is not yet able to meet needs modern consumers. This paper aims review main findings previous articles on relationship between acceptance products, form three independent themes through comprehensive analysis: Cultural elements that enhance value products. Modern innovation...

This study investigates the factors influencing adoption of low-carbon travel options among students and faculty at vocational colleges in China.As part China's broader commitment to sustainable urban development, promotion transportation modes such as public transit, biking, car-sharing, electric vehicles is crucial.Given strategic role educational institutions shaping behaviors, this research targets teachers assess their awareness, willingness, actual behaviors related travel.The employs...

Flexible sensors mimic the sensing ability of human skin, and have unique flexibility adaptability, allowing users to interact with intelligent systems in a more natural intimate way. To overcome issues low sensitivity limited operating range flexible strain sensors, this study presents highly innovative preparation method develop conductive elastomeric sensor cracked thin film by combining polydimethylsiloxane (PDMS) multiwalled carbon nanotubes (MCNT). This novel design significantly...

In recent years, the wireless body area network (WBAN) has become a heated topic in research, but its quality of service (QoS) not received enough attention. The two operation modes IEEE802.15.4 are analyzed, and slotted CSMA/CA mechanism is found more suitable for WBAN. With simulation tool OPNET delays proved to change accordance with parameter values sensors, which can distinguish QoS sensors meet actual WBAN demands.

Due to the constraints of bandwidth and energy, communication rate sensors-to-estimator may be required reduced save resources energy in network control systems (NCSs). This paper studies remote state estimation triggered by innovation meet expected performance order improve whole system under reducing rate. We propose an event-trigger based on measurement innovation, which decide how information could sent estimator for estimation. Then Gaussian assumption predicted conditional probability...