Abstract It remains a great challenge to achieve sufficient cancer classification accuracy with the entire set of genes, due high dimensions, small sample size, and big noise gene expression data. We thus proposed hybrid selection method, Information Gain-Support Vector Machine (IG-SVM) in this study. IG was initially employed filter irrelevant redundant genes. Then, further removal genes performed using SVM eliminate datasets more effectively. Finally, informative selected by IG-SVM served...

Despite the apparent usefulness of efficient mental workload assessment in various real-world situations, underlying neural mechanism remains largely unknown, and studies are limited to well-controlled cognitive tasks using a 2D computer screen. In this paper, we investigated functional brain network alterations simulated flight experiment with three levels compared reorganization pattern between screen (2D) virtual reality (3D) interfaces. We constructed multiband networks...

Maintaining sustained attention during a prolonged cognitive task often comes at cost: high levels of mental fatigue. Heuristically, fatigue refers to feeling tiredness or exhaustion, and disengagement from the hand; it manifests as impaired behavioral performance. In order effectively reduce undesirable yet preventable consequences in many real-world workspaces, better understanding underlying neural mechanisms is needed, continuous efforts have been devoted this topic. comparison with...

There has been an increased interest in the impact of unmotivated test taking on performance and score validity. This led to development new ways measuring test-taking effort based item response time. In particular, Response Time Effort (RTE) shown provide assessment down level individual responses. A limitation RTE, however, is that it intended for use with selected items must be answered before a taker can move next item. The current study outlines general process item-level applied...

Although driving fatigue has long been recognized as one of the leading causes fatal accidents worldwide, underlying neural mechanisms remain largely unknown that impedes developments automatic detection techniques. This study investigated effects on reorganization dynamic functional connectivity (FC) through our newly developed temporal brain network analysis framework. EEG data were recorded from 20 healthy subjects (male/female = 15/5, age 22.2 ± 3.2 years) using a remote wireless cap...

Intelligent optimization algorithms have advantages in dealing with complex nonlinear problems accompanied by good flexibility and adaptability. In this paper, the FCBF (Fast Correlation-Based Feature selection) method is used to filter irrelevant redundant features order improve quality of cancer classification. Then, we perform classification based on SVM (Support Vector Machine) optimized PSO (Particle Swarm Optimization) combined ABC (Artificial Bee Colony) approaches, which represented...

The purpose of this study was to explore whether the results Tree Based Regression (TBR) analyses, informed by a validated cognitive model, would enhance interpretation item difficulties in terms processes involved answering reading items included two forms Michigan English Language Assessment Battery (MELAB). A model first generated explain performance MELAB items, and then expert judgment student verbal protocols. Next, used TBR analyses obtain final trees for each form. Finally, (i.e.,...

Disengaged responding is a phenomenon that often biases observed scores from achievement tests and surveys in practically statistically significant ways. This problem has led to the development of methods detect correct for disengaged responses on both test survey scores. One major disadvantage when trying that, unlike tests, there are no answers. As result, validating decision rules detection problematic. In this study, we condition results variety used identify response times. We then show...

Mental fatigue is growingly considered to be associated with functional brain dysconnectivity. Although conventional wisdom suggests that rest break an effective countermeasure, the underlying neural mechanisms and how they modulate fatigue-related dysconnectivity largely unknown. Here, we introduce empirical method examine reorganization of dynamic connectivity (FC) in a two-session experiment where one session including mid-task (Rest) compared successive task design other (No-rest)....

Mental fatigue deteriorates ability to perform daily activities - known as time-on-task (TOT) effect and becomes a common complaint in contemporary society. However, an applicable technique for detection/prediction is hindered due substantial inter-subject differences behavioural impairment brain activity. Here, we developed fully crossvalidated, data-driven analysis framework incorporating multivariate regression model explore the feasibility of utilizing functional connectivity (FC)...

Accumulating efforts have been made to discover effective solutions for fatigue recovery with the ultimate aim of reducing adverse consequences mental in real life. The previously-reported behavioral benefits physical exercise on prompted us investigate restorative effect and reveal underlying neural mechanisms. Specifically, we introduced an empirical method beneficial reorganization EEG functional connectivity (FC) a two-session experiment where one session including successive 30-min...

Because of the undesired fatigue-related consequences, accumulating efforts have been made to find an effective intervention alleviate suboptimal cognitive function caused by mental fatigue. Nonetheless, limitations and evaluation methods may hinder revealing underlying neural mechanisms fatigue recovery. Through newly-developed dynamic functional connectivity (FC) analysis framework, this study aims investigate effects two types mid-task interventions (i.e., rest-break moderate-intensity...

Objective Eating habits may have a key influence on cognitive function, however, the relationship between dietary intake and impairment in elderly Chinese population has not been explored. The present study investigated association eating subjects >90 years of age. Methods This comprised data from included 2005 Project Longevity Ageing Dujiangyan, China. Subjects were divided into two groups: group normal group. Sociodemographic habit collected function was assessed all using Mini-Mental...

Conventional wisdom suggests mid-task rest as a potential approach to relieve the time-on-task (TOT) effect while accumulating evidence indicated that acute exercise might also effectively restore mental fatigue. However, few studies have explored neural mechanism underlying these different break types, and results were scattered. This study provided one of first looks at how types fatigue-recovery exerted influence on cognitive processes by evaluating corresponding behavioral improvement...

Automatic reading diagnosis systems can benefit both teachers for more efficient scoring of exercises and students accessing with feedback easily. However, there are limited studies on Speech Recognition (ASR) child speech in languages other than English, research ASR-based systems. This study investigates how efficiently state-of-the-art (SOTA) pretrained ASR models recognize Dutch native children manage to detect miscues. We found that Hubert Large finetuned achieves SOTA phoneme-level...

Automatic reading diagnosis systems can benefit both teachers for more efficient scoring of exercises and students accessing with feedback easily. However, there are limited studies on Speech Recognition (ASR) child speech in languages other than English, research ASR-based systems. This study investigates how efficiently state-of-the-art (SOTA) pretrained ASR models recognize Dutch native children manage to detect miscues. We found that Hubert Large finetuned achieves SOTA phoneme-level...

The limitation of human visual contrast resolution makes it impossible that people to clearly distinguish the image information obtained in scotopic vision environment. In view low brightness, unclear content and environment, an enhancement algorithm based on convolutional neural network is proposed. First, data sets required for experimental training are captured by acquisition equipment. Secondly, using principle GAN network, construct a model, input into generation can get enhanced image,...

Objective: chronic bronchitis may have a key influence on cognitive function, however, the relationship between and impairment in elderly Chinese population has not been explored.The present study investigated association subjects over 90 years of age.Methods: This comprised data from included 2005 Project Longevity Ageing Dujiangyan, China.Subjects were divided into two groups: group normal group.Chronic collected function was assessed all using Mini-Mental State Examination.Data presented...

Objective To study the relationship between umbilical cord leptin levels and fetal growth as well neonatal birth weight. Methods One hundred forty-two neonates selected from February 2009 to June 2013 in Shangqiu First People's Hospital according different gestational age weight were divided into 3 groups.Group A included 44 cases(small for age, below average of 10th percentile at same age), 23 boy cases, 21 girl cases; group B 56 cases (appropriate 90th 30 26 C 42 (large above 22 20...

As a common complaint in contemporary society, mental fatigue is key element the deterioration of daily activities known as time-on-task (TOT) effect, making prediction fatigue-related performance decline exceedingly important. However, conventional group-level brain-behavioral correlation analysis has limitation generalizability to unseen individuals and at individual-level challenging due significant differences between both task efficiency brain activities. Here, we introduced...

Mental fatigue is a serious problem in contemporary society, which affects personal productivity, safety life and mental health, it has become convergent research topic the nascent field of neuro-ergonomics. However, we still lack clear understanding neural mechanism fatigue, contradicts realistic demands. In this study, considering dynamic accumulation temporal brain networks were estimated from 20 participants based on functional images. First, connection network was constructed through...