Gamo's cultural forum-Dubussha as a tool for social change communication: Illiteracy and child labor abuse as a case in point.

This study investigated the instrumental potential of Gamo's traditional dialogue forum-Dubussha-for social change communication in general, using illiteracy and child labour abuse as a case in point. The study went on to analyze the motive that when traditions pave the way for new ways of life and thinking, changes are more applicable and transformative. As a result, this study sought to apply current values in a more local context and discovered that using culture as a vehicle for transformation yielded positive results. The two most popular tactics used to satisfy the study's goal of gathering information from largely alternatively educated respondents were intensive interviews and focus group discussions. Since cultural societies' skills, expertise, and knowledge are intricately related to their culture, the qualitative technique was effective in understanding and testing the research questions of this study. According to the study's objectives, three different focus group discussions (FGDs) were held in the Dita, Daramalo, and Chencha districts. Participants in the focus groups ranged in age, gender, and cultural background. Each FGD session included a diverse variety of participants, including women, men, student participants, and cultural leaders (Haleqas and/or Hudugas (opinion leaders). The FGD had 27 participants until it was full. Participants, facilitators, and in-depth interviewees were also purposively chosen. Finally, the study's findings indicated that Dubussha had a large potential for social change communication, particularly to reduce illiteracy and child labour abuse. Given that the cultural communication forum, Dubussha, is the major pillar of Gamo society's psychosocial structure, its use as an effective instrument for social change communication produced significant outcomes. Despite the gender and age differences in the application of "Dubussha," the outcome, acceptance, and glory of Dubussha among the Gamo community remained consistent.

Transport fare and road traffic crashes in Nigeria: insights from a geographical analysis.

Road traffic crashes (RTCs) are significantly high in Nigeria with serious social and health consequences. While existing studies on RTCs have mainly focused on the effect of socio-economic, environmental, human and mechanical factors to address the high rates, the relationship between road transport fares and RTCs has been glossed over in literature. Thus, this study examines the influence of road transport fares and other covariates on RTCs. Data on RTCs and the predictors between 2017 and 2022 were obtained from the records of the National Bureau of Statistics and the Federal Road Safety Corps. Spatial statistical techniques were used for the data analysis. RTCs vary across the country, and Northern Nigeria is the hot spot. Results from the spatial analysis show that road transport fares, population density, and illiteracy rate are significant predictors of RTCs. The study recommends striking a balance between fare affordability, the quality of service provided, and the implementation of effective transportation strategies.

Illiterate Addenbrooke's Cognitive Examination-III in Three Indian Languages: An Adaptation and Validation Study.

BACKGROUND: Literacy is an important factor that predicts cognitive performance. Existing cognitive screening tools are validated only in educated populations and are not appropriate for older adults with little or no education leading to poor performance on these tests and eventually leading to misdiagnosis. This challenge for clinicians necessitates a screening tool suitable for illiterate or low-literate older individuals. OBJECTIVES: The objective was to adapt and validate Addenbrooke's Cognitive Examination-III (ACE-III) for screening general cognitive functions in illiterate and low-literate older populations in the Indian context in three languages. METHOD: The Indian illiterate ACE-III was systematically adapted by modifying the original items of the Indian literate ACE-III to assess the cognitive functions of illiterates and low-literates with the consensus of an expert panel of professionals working in the area of dementia and related disorders. A total of 180 illiterate or low-literate participants (84 healthy-controls, 50 with dementia, and 46 with mild cognitive impairment [MCI]) were recruited from three different centers speaking Bengali, Hindi, and Kannada to validate the adapted version. RESULTS: The optimal cut-off score for illiterate ACE-III to distinguish controls from dementia in all 3 languages was 75. The optimal cut-off scores in distinguishing between controls and MCI ranged from 79 to 82, with a sensitivity ranging from 93% to 99% and a specificity ranging from 72% to 99%. CONCLUSION: The test is found to have good psychometric properties and is a reliable cognitive screening tool for identifying dementia and MCI in older adults with low educational backgrounds in the Indian context.

Donor's ability to comprehend and carefully assess the benefits and risks of donation in living donor liver transplantation: a Pakistani perspective - a short communication.

Patients unlikely to obtain deceased donor liver transplantation (DDLT) are offered living donor liver transplantation (LDLT) as an alternative. The success of LDLT is bound to the availability of altruistic donors who undergo smooth and safe surgery. Donor morbidity is reported to be up to 20-30%, while donor mortality is only 0.1-0.5%. Globally, LDLT poses numerous ethical concerns regarding living donors, such as autonomy, non-maleficence, and beneficence. The donor's comprehension of information is a serious issue in LDLT. The donors may underestimate the risk of morbidity and mortality, as well as can ignore the long-term psychological consequences. Furthermore, donor voluntariness may be questionable as the donors may agree to donate under severe family pressure or emotional attachment. We propose open communication with all the donors, ensuring that they should not be subjected to any undue pressure or emotional lability. Donor knowledge and understanding of potential complications and the psychosocial aspect can be augmented by good communication. We also suggest that the donors' education and psychological evaluation should be done in a friendly environment with complete privacy. Interventions should be aimed at improving communication and independent decision-making with the use of e-health educational tools for comprehension assessment.

Illiteracy, Neuropsychological Assessment, and Cognitive Rehabilitation: A Narrative Review.

OBJECT: Νeuropsychological assessment is particularly important for the accurate discrimination of cognitive abilities and weaknesses of patients in order to determine the appropriate therapeutic intervention. However, the reliability and validity of neuropsychological assessment appears to be influenced by a wide range of factors, including literacy and educational level. AIM: This systematic review evaluates neuropsychological tests appropriate for the valid assessment of illiterate individuals and the effectiveness of cognitive rehabilitation programs for illiterate and/or low-educated individuals according to the results of English language studies that have been published in the PubMed/Medline electronic database until August 2022 (no initiation date). RESULTS: 49 studies were included for neuropsychological assessment and 4 studies for cognitive rehabilitation. In terms of investigating the validity and reliability of neuropsychological tests for the assessment of healthy illiterate individuals, most studies concluded that for the majority of neuropsychological tests there is a significant difference in performance between healthy illiterate and literate individuals. However, there was consensus among studies that the performance of illiterate subjects was equivalent to the performance of literate subjects on tasks depicting colored and real objects. Regarding cognitive rehabilitation programs, all four studies concluded that they are effective in improving the cognitive functions of illiterate and/or low-literate patients with mild cognitive impairment and/or mild dementia. CONCLUSIONS: For the assessment of illiterate individuals, it is imperative that neuropsychological tests with high ecological validity (i.e., tests related to activities of daily living) be administered so as not to underestimate their cognitive functioning. At the same time, cognitive enhancement/stimulation programs seem to be effective in this population group; however, this area needs further investigation.

Literacy, but not memory, is associated with hippocampal connectivity in illiterate adults.

Background: The influence of hippocampal connectivity on memory performance is well established in individuals with high educational attainment. However, the role of hippocampal connectivity in illiterate populations remains poorly understood. Methods: Thirty-five illiterate adults were administered a literacy assessment (Test of Functional Health Literacy in Adults - TOFHLA), structural and resting state functional MRI and an episodic memory test (Free and Cued Selective Reminding Test). Illiteracy was defined as a TOFHLA score below 53. We evaluated the correlation between hippocampal connectivity at rest and both free recall and literacy scores. Results: Participants were mostly female (57.1%) and Black (84.8%), with a median age of 50 years. The median TOFHLA literacy score was 28.0 [21.0;42.5] out of 100 points and the median free recall score was 30.0 [26.2;35] out of 48 points. The median gray matter volume of both the left and right hippocampi was 2.3 [2.1; 2.4] cm3. We observed a significant connectivity between both hippocampi and the precuneus and the ventral medial prefrontal cortex. Interestingly, the right hippocampal connectivity positively correlated with the literacy scores (ß = 0.58, p = 0.008). There was no significant association between episodic memory and hippocampal connectivity. Neither memory nor literacy scores correlated with hippocampal gray matter volume. Conclusions: Low literacy levels correlate with hippocampal connectivity in illiterate adults. The lack of association with memory scores might be associated with low brain reserve in illiterate adults.

Unfavorable public attitude toward people with epilepsy in Ethiopia: A systematic review and meta-analysis study.

OBJECTIVE: This systematic review and meta-analysis aims to show the pooled prevalence of unfavorable public attitude toward people with epilepsy (UPATPWE) as well as the effect estimates of associated factors in Ethiopia. METHODS: Between December 1 and 31, 2022, we searched for the English version of published research reports on public attitude toward epilepsy in Ethiopia in PubMed/Medline, Science Direct, Cochrane Library, Google Scholar, and PsycINFO. The research reports' quality was assessed using the Newcastle-Ottawa Scale. We extracted the relevant information from the searched papers in a Microsoft Excel format and imported it to STATA version 15.0, for analysis. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) reports guideline was used. A random-effects meta-analysis model was used to estimate the Der Simonian and Laird's pooled prevalence of unfavorable public attitude and its associated factors. RESULTS: Nine out of the accessed 104 research papers meeting the pre-specified criteria were included in this study. The overall pooled prevalence of UPATPWE in Ethiopia is 52.06 (95% CI: 37.54, 66.59), resulting in excommunication, physical punishments, and assaults against people with epilepsy as well as frequent lack of diagnosis and proper treatment. The pooled effect estimates for witnessing a seizure episode were done and it was (AOR = 2.70 [95% CI: 1.13, 6.46]). SIGNIFICANCE: As interventions and new strategies to change attitudes and facilitate a supportive, positive, and socially inclusive environment for PWE may root in education and scientific research outputs, our result hopefully evokes the policy makers' attention for building a well-designed and comprehensive health education and campaign strategy.

All That Glitters Is Not Gold: The Indian Healthcare System.

Healthcare is the most essential requirement for a better quality of life. Governments throughout the world ensure the establishment of improved healthcare systems that are on par with global healthcare systems for people, irrespective of their socioeconomic situation. It is crucial to understand the status of healthcare establishments existing in a country. The coronavirus disease 2019 (COVID-19) pandemic posed an imminent challenge concerning the quality of healthcare in various countries throughout the world. There were different types of problems faced by most nations irrespective of their socioeconomic status and financial capabilities. India also struggled to cope with the initial times of the COVID-19 pandemic wherein the hospitals were overwhelmed with patients and limited infrastructural capabilities, resulting in considerable morbidity and mortality. The greatest achievement of the Indian healthcare system was to increase access to healthcare by encouraging private players and boosting public-private partnerships to deliver better healthcare to people. Moreover, the Indian government ensured healthcare access to people from rural areas by establishing teaching hospitals. However, the major drawback in the Indian healthcare system appears to be illiteracy among people and exploitation by healthcare stakeholders that include physicians, surgeons, pharmacists, and capitalists, including hospital management and pharmaceutical industries. Nevertheless, like two sides to a coin, the Indian healthcare system has both pros and cons. The limitations in the healthcare system need to be addressed to improve the quality of healthcare provided to people in general and especially during disease outbreaks similar to the COVID-19 pandemic.

EEG motor imagery classification using deep learning approaches in naïve BCI users.

Motor Imagery (MI)-Brain Computer-Interfaces (BCI) illiteracy defines that not all subjects can achieve a good performance in MI-BCI systems due to different factors related to the fatigue, substance consumption, concentration, and experience in the use. To reduce the effects of lack of experience in the use of BCI systems (naïve users), this paper presents the implementation of three Deep Learning (DL) methods with the hypothesis that the performance of BCI systems could be improved compared with baseline methods in the evaluation of naïve BCI users. The methods proposed here are based on Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM)/Bidirectional Long Short-Term Memory (BiLSTM), and a combination of CNN and LSTM used for upper limb MI signal discrimination on a dataset of 25 naïve BCI users. The results were compared with three widely used baseline methods based on the Common Spatial Pattern (CSP), Filter Bank Common Spatial Pattern (FBCSP), and Filter Bank Common Spatial-Spectral Pattern (FBCSSP), in different temporal window configurations. As results, the LSTM-BiLSTM-based approach presented the best performance, according to the evaluation metrics of Accuracy, F-score, Recall, Specificity, Precision, and ITR, with a mean performance of 80% (maximum 95%) and ITR of 10 bits/min using a temporal window of 1.5 s. The DL Methods represent a significant increase of 32% compared with the baseline methods (p< 0.05). Thus, with the outcomes of this study, it is expected to increase the controllability, usability, and reliability of the use of robotic devices in naïve BCI users.

Can vibrotactile stimulation and tDCS help inefficient BCI users?

Brain-computer interface (BCI) has helped people by allowing them to control a computer or machine through brain activity without actual body movement. Despite this advantage, BCI cannot be used widely because some people cannot achieve controllable performance. To solve this problem, researchers have proposed stimulation methods to modulate relevant brain activity to improve BCI performance. However, multiple studies have reported mixed results following stimulation, and the comparative study of different stimulation modalities has been overlooked. Accordingly, this study was designed to compare vibrotactile stimulation and transcranial direct current stimulation's (tDCS) effects on brain activity modulation and motor imagery BCI performance among inefficient BCI users. We recruited 44 subjects and divided them into sham, vibrotactile stimulation, and tDCS groups, and low performers were selected from each stimulation group. We found that the latter's BCI performance in the vibrotactile stimulation group increased significantly by 9.13% (p < 0.01), and while the tDCS group subjects' performance increased by 5.13%, it was not significant. In contrast, sham group subjects showed no increased performance. In addition to BCI performance, pre-stimulus alpha band power and the phase locking values (PLVs) averaged over sensory motor areas showed significant increases in low performers following stimulation in the vibrotactile stimulation and tDCS groups, while sham stimulation group subjects and high performers showed no significant stimulation effects across all groups. Our findings suggest that stimulation effects may differ depending upon BCI efficiency, and inefficient BCI users have greater plasticity than efficient BCI users.

Bridging the BCI illiteracy gap: a subject-to-subject semantic style transfer for EEG-based motor imagery classification.

Introduction: Brain-computer interfaces (BCIs) facilitate direct interaction between the human brain and computers, enabling individuals to control external devices through cognitive processes. Despite its potential, the problem of BCI illiteracy remains one of the major challenges due to inter-subject EEG variability, which hinders many users from effectively utilizing BCI systems. In this study, we propose a subject-to-subject semantic style transfer network (SSSTN) at the feature-level to address the BCI illiteracy problem in electroencephalogram (EEG)-based motor imagery (MI) classification tasks. Methods: Our approach uses the continuous wavelet transform method to convert high-dimensional EEG data into images as input data. The SSSTN 1) trains a classifier for each subject, 2) transfers the distribution of class discrimination styles from the source subject (the best-performing subject for the classifier, i.e., BCI expert) to each subject of the target domain (the remaining subjects except the source subject, specifically BCI illiterates) through the proposed style loss, and applies a modified content loss to preserve the class-relevant semantic information of the target domain, and 3) finally merges the classifier predictions of both source and target subject using an ensemble technique. Results and discussion: We evaluate the proposed method on the BCI Competition IV-2a and IV-2b datasets and demonstrate improved classification performance over existing methods, especially for BCI illiterate users. The ablation experiments and t-SNE visualizations further highlight the effectiveness of the proposed method in achieving meaningful feature-level semantic style transfer.

Illusion of knowledge in statistics among clinicians: evaluating the alignment between objective accuracy and subjective confidence, an online survey.

Healthcare professionals' statistical illiteracy can impair medical decision quality and compromise patient safety. Previous studies have documented clinicians' insufficient proficiency in statistics and a tendency in overconfidence. However, an underexplored aspect is clinicians' awareness of their lack of statistical knowledge that precludes any corrective intervention attempt. Here, we investigated physicians', residents' and medical students' alignment between subjective confidence judgments and objective accuracy in basic medical statistics. We also examined how gender, profile of experience and practice of research activity affect this alignment, and the influence of problem framing (conditional probabilities, CP vs. natural frequencies, NF). Eight hundred ninety-eight clinicians completed an online survey assessing skill and confidence on three topics: vaccine efficacy, p value and diagnostic test results interpretation. Results evidenced an overall consistent poor proficiency in statistics often combined with high confidence, even in incorrect answers. We also demonstrate that despite overconfidence bias, clinicians show a degree of metacognitive sensitivity, as their confidence judgments discriminate between their correct and incorrect answers. Finally, we confirm the positive impact of the more intuitive NF framing on accuracy. Together, our results pave the way for the development of teaching recommendations and pedagogical interventions such as promoting metacognition on basic knowledge and statistical reasoning as well as the use of NF to tackle statistical illiteracy in the medical context.

Spatiotemporal heterogeneity and impact factors of hepatitis B and C in China from 2010 to 2018: Bayesian space-time hierarchy model.

Introduction: Viral hepatitis is a global public health problem, and China still faces great challenges to achieve the WHO goal of eliminating hepatitis. Methods: This study focused on hepatitis B and C, aiming to explore the long-term spatiotemporal heterogeneity of hepatitis B and C incidence in China from 2010 to 2018 and quantify the impact of socioeconomic factors on their risk through Bayesian spatiotemporal hierarchical model. Results: The results showed that the risk of hepatitis B and C had significant spatial and temporal heterogeneity. The risk of hepatitis B showed a slow downward trend, and the high-risk provinces were mainly distributed in the southeast and northwest regions, while the risk of hepatitis C had a clear growth trend, and the high-risk provinces were mainly distributed in the northern region. In addition, for hepatitis B, illiteracy and hepatitis C prevalence were the main contributing factors, while GDP per capita, illiteracy rate and hepatitis B prevalence were the main contributing factors to hepatitis C. Disussion: This study analyzed the spatial and temporal heterogeneity of hepatitis B and C and their contributing factors, which can serve as a basis for monitoring efforts. Meanwhile, the data provided by this study will contribute to the effective allocation of resources to eliminate viral hepatitis and the design of interventions at the provincial level.

Cognitive assessment of literacy learning difficulties in adult non- or low-literate second language learners.

The population of non- or low-literate adult immigrants studying a new language is large and growing in many countries. The aim of this study was to develop and validate a new instrument for the assessment of cognitive impairment that may hinder literacy learning in adult non- or low-literate L2 learners, the Cognitive Assessment of Literacy Learning Difficulties (CALL), in a language center setting. This was a case-control study in which the CALL was validated in adult non- or low-literate students, or students who were not literate in the Latin alphabet, in nine Danish language centers. Educator classification of students with very slow progression in learning basic Danish literacy was used as a benchmark for literacy learning difficulties. Classification was further based on the number of lessons participants had required to pass tests during Danish language program levels. An acceptable discriminative validity (AUC 0.76; specificity 0.94, sensitivity 0.64) for literacy learning difficulties (n = 32) versus schooling and sex matched control participants (n = 28) was found. In comparison, years of formal schooling had an AUC of 0.58. Age had a small effect on the ability of the CALL to predict literacy learning difficulties (OR = 1.097, p = 0.013), whereas sex and years of schooling did not. CALL was found to be a valid instrument for identification of cognitive impairment that may hinder literacy learning in adult non- or low-literate L2 learners in a Danish language center setting.

Comparison of subject-independent and subject-specific EEG-based BCI using LDA and SVM classifiers.

Motor imagery brain-computer interface (MI-BCI) is one of the most used paradigms in EEG-based brain-computer interface (BCI). The current state-of-the-art in BCI involves tuning classifiers to subject-specific training data, acquired over several sessions, in order to perform calibration prior to actual use of the so-called subject-specific BCI system (SS-BCI). Herein, the goal is to provide a ready-to-use system requiring minimal effort for setup. Thus, our challenge was to design a subject-independent BCI (SI-BCI) to be used by any new user without the constraint of individual calibration. Outcomes from other studies with the same purpose were used to undertake comparisons and validate our findings. For the EEG signal processing, we used a combination of the delta (0.5-4 Hz), alpha (8-13 Hz), and beta+gamma (13-40 Hz) bands at a stage prior to feature extraction. Next, we extracted features from the 27-channel EEG using common spatial pattern (CSP) and performed binary classification (MI of right- and left-hand) with linear discriminant analysis (LDA) and support vector machine (SVM) classifiers. These analyses were done for both the SS-BCI and SI-BCI models. We employed "leave-one-subject-out" (LOSO) arrangement and 10-fold cross-validation to evaluate our SI-BCI and SS-BCI systems, respectively. Compared with other two studies, our work was the only one that showed higher accuracy for the LDA classifier in SI-BCI as compared to SS-BCI. On the other hand, LDA accuracy was lower than accuracy achieved with SVM in both conditions (SI-BCI and SS-BCI). Our SS-BCI accuracy reached 76.85% using LDA and 94.20% using SVM and for SI-BCI we got 80.30% with LDA and 83.23% with SVM. We conclude that SI-BCI may be a feasible and relevant option, which can be used in scenarios where subjects are not able to submit themselves to long training sessions or to fast evaluation of the so called "BCI illiteracy." Comparatively, our strategy proved to be more efficient, giving us the best result for SI-BCI when faced against the classification performances of other three studies, even considering the caveat that different datasets were used in the comparison of the four studies.

Clinical Utility of WAIS-IV Matrix Reasoning Among Adult Low Educated Recent Immigrants; A Note of Caution.

OBJECTIVE: To examine the clinical utility of Wechsler Adult Intelligence Scale-IV (WAIS-IV) Matrix Reasoning in limited educated recently arrived immigrants in Denmark. METHOD: Participants were 64 limited educated (0-9 years' education) independently living adult immigrants primarily from Middle Eastern and Sub-Saharan African countries who completed WAIS-IV Matrix Reasoning as well as demographic, and medical questionnaires. RESULTS: Thirty-eight participants (59%) scored more than two standard deviations below the Scandinavian mean (scaled score < 4). Performances were significantly associated with years of education but not with occupational status, years of residence in Denmark, or Danish language skills. The most common error types were repetition errors (15.84%) and incomplete correlate errors (10.47%), with a strong trend for a higher proportion of repetition errors in participants with <5 years of education. CONCLUSIONS: The findings indicate that WAIS-IV Matrix Reasoning underestimates cognitive functioning in limited educated recently arrived immigrants, thus calling its clinical utility into question.

Studies in the Mentality of Literates: 3. Conceptual Structure and Nonsense of Personality Testing.

In this study, third in a series of studies of the relationships between the dominant type of the Word Meaning Structure (WMS) and various psychic processes, response patterns on personality questionnaires with Likert-type response format of individuals with different levels of education (including adult illiterates) in Brazil (N = 102) and in Estonia (N = 520) were assessed with person oriented methods of data analysis. We found that responses to two personality questionnaires (International Personality Item Pool Questionnaire, IPIP-Q60 and Estonian Collectivism Scale, ESTCOL) are inconsistent and do not correspond to theories that underlie construction and interpretation of such assessment tools. Two novel ways to assess inconsistent response patterns were developed. The Consistency Index (CI) characterizes between-item inconsistency and the Determinacy Index (DI) characterizes within-item inconsistency. The dominant type of the WMS and the level of education were related to both CI and DI. Higher level of between-item inconsistency characterizes everyday conceptual thinkers with lower levels of education and higher level of within-item inconsistency was observed among logical conceptual thinkers with higher levels of education. Systematic relationships between WMS and inconsistent patterns of responses indicate that responses on personality questionnaires cannot be interpreted in terms of personality characteristics. The results of our study also provide further support to the idea that dominant type of the WMS is a pervasive characteristic of the psyche and determines qualitatively possibilities and limits of the psychic processes. The results of this study are in agreement with the idea that WMS defines the "Great Divide."

Cognitive Assessment in Culturally, Linguistically, and Educationally Diverse Older Populations in Europe.

Due to increasing cultural, linguistic, and educational diversity in older populations across Europe, accurate assessment of cognitive functioning in people from diverse backgrounds becomes increasingly important. This paper aims to provide a state-of-the-art review of cognitive assessment in culturally, linguistically, and educationally diverse older populations in Europe, focusing on challenges and recent advances in cross-cultural assessment. Significant work has been carried out on the identification of challenges in cognitive assessment in culturally, linguistically, and educationally diverse older populations and on development and validation of cross-cultural cognitive tests. Most research has addressed the influences of language barriers, education and literacy, and culture and acculturation and in particular, the European Cross-Cultural Neuropsychological Test Battery (CNTB) and the Rowland Universal Dementia Assessment Scale (RUDAS) are well-validated across European countries. However, cross-cultural cognitive assessment is largely still a developing field in Europe, and there is a continuing need for developments within the field.

Distribution Adaptation and Classification Framework Based on Multiple Kernel Learning for Motor Imagery BCI Illiteracy.

A brain-computer interface (BCI) translates a user's thoughts such as motor imagery (MI) into the control of external devices. However, some people, who are defined as BCI illiteracy, cannot control BCI effectively. The main characteristics of BCI illiterate subjects are low classification rates and poor repeatability. To address the problem of MI-BCI illiteracy, we propose a distribution adaptation method based on multi-kernel learning to make the distribution of features between the source domain and target domain become even closer to each other, while the divisibility of categories is maximized. Inspired by the kernel trick, we adopted a multiple-kernel-based extreme learning machine to train the labeled source-domain data to find a new high-dimensional subspace that maximizes data divisibility, and then use multiple-kernel-based maximum mean discrepancy to conduct distribution adaptation to eliminate the difference in feature distribution between domains in the new subspace. In light of the high dimension of features of MI-BCI illiteracy, random forest, which can effectively handle high-dimensional features without additional cross-validation, was employed as a classifier. The proposed method was validated on an open dataset. The experimental results show that that the method we proposed suits MI-BCI illiteracy and can reduce the inter-domain differences, resulting in a reduction in the performance degradation of both cross-subjects and cross-sessions.