Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach by Guanjin Wang, Hachem Bennamoun, Wai Hang Kwok, Jenny Paola Ortega Quimbayo, Bridgette Kelly, Trish Ratajczak, Rhonda Marriott, Roz Walker, Jayne Kotz

“…ObjectiveWe explored different explainable artificial intelligence (XAI)–powered machine learning techniques for developing culturally informed, strengths-based predictive modeling of perinatal psychological distress among Aboriginal mothers. …”
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Smart Learning Ecosystems beyond 2030 by Gabriella Dodero, Carlo Giovannella, Francesca Pozzi

“…Different teaching objectives, and different teaching patterns to achieve them, were identified; then, a visual tool was developed to categorize them as a possible help for teachers to plan their e-learning courses in accordance with their specific course objectives.x Overall, these contributions show how much the development of SLEs depends on contributions of various natures that must find common ground and ways of integration and, therefore, how useful the vision, the cultural framework and the related guidelines offered by the Timisoara and Troyes declarations are. …”
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Methylmap: visualization of modified nucleotides for large cohort sizes by Elise Coopman, Svenn D’Hert, Rosa Rademakers, Wouter De Coster

“…Understanding methylation patterns at the nucleotide level has become pivotal for advancing this field. …”
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Detection and location of EEG events using deep learning visual inspection. by Mohammad Amin Fraiwan

“…This signal contains a number of distinctive waveform patterns that reflect the subject's health state in relation to sleep, neurological disorders, memory functions, and more. …”
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Neuronal adaptation translates stimulus gaps into a population code. by Chun-Wei Yuan, Leila Khouri, Benedikt Grothe, Christian Leibold

“…Neurons in sensory pathways exhibit a vast multitude of adaptation behaviors, which are assumed to aid the encoding of temporal stimulus features and provide the basis for a population code in higher brain areas. …”
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Neurobiology-based cognitive biotypes using multi-scale intrinsic connectivity networks in psychotic disorders by Pablo Andrés-Camazón, Covadonga M. Diaz-Caneja, Ram Ballem, Jiayu Chen, Vince D. Calhoun, Armin Iraji

“…K-means clustering identified patient subgroups based on these features. Two biotypes with different functional brain alteration patterns were identified. …”
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Machine Learning-Assisted NIR Spectroscopy for Dynamic Monitoring of Leaf Potassium in Korla Fragrant Pear by Mingyang Yu, Weifan Fan, Junkai Zeng, Yang Li, Lanfei Wang, Hao Wang, Feng Han, Jianping Bao

“…Potassium (K), a critical macronutrient for the growth and development of Korla fragrant pear (Pyrus sinkiangensis Yu), plays a pivotal regulatory role in sugar-acid metabolism. …”
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Machine learning helps reveal key factors affecting tire wear particulate matter emissions by Zhenyu Jia, Jiawei Yin, Tiange Fang, Zhiwen Jiang, Chongzhi Zhong, Zeping Cao, Lin Wu, Ning Wei, Zhengyu Men, Lei Yang, Qijun Zhang, Hongjun Mao

“…Model explainability results show that the feature parameters-emission response relationships for tire wear PM2.5 and PM2.5-10 are different. …”
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Assessing remote learning's feasibility: A comprehensive analysis of Philippine public-school teachers’ use of learning management systems and blended learning approaches by Mark Jhon Prestoza

“…An examination of the features of Google Classroom, Google Apps for Education, and Google Docs file templates reveals a wide range of use patterns among instructors, ranging from seldom to regular utilization. …”
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Deep learning model for diagnosis of thyroid nodules with size less than 1 cm: A multicenter, retrospective study by Na Feng, Shanshan Zhao, Kai Wang, Peizhe Chen, Yunpeng Wang, Yuan Gao, Zhengping Wang, Yidan Lu, Chen Chen, Jincao Yao, Zhikai Lei, Dong Xu

“…Results: TNT-Net achieved an area under the curve (AUC) of 0.953 (95 % confidence interval (CI): 0.934, 0.969) on the internal test set and 0.941 (95 % CI: 0.921, 0.957) on the external test set, significantly outperforming traditional deep convolutional neural network models and single-channel swin transformer model, whose AUCs ranged from 0.800 (95 % CI: 0.759, 0.837) to 0.856 (95 % CI: 0.819, 0.881). Furthermore, feature heatmap visualization showed that TNT-Net could extract richer and more energetic malignant nodule patterns. …”
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Monitoring irrigated dryland in China from 2000 to 2015 by integrating time series vegetation indices and environmental factors by Zijuan Zhu, Lijun Zuo, Zengxiang Zhang, Yun Shao, Haijun Bao, Xiaoli Zhao, Xiao Wang, Shunguang Hu, Sisi Yu, Tianshi Pan, Ziyuan Liu

“…Meanwhile changes of features were employed to identify changes of irrigated dryland. …”
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Species diversity of soil animals at different desert habitats in Baijitan region of Ningxia and its relationship with environmental factors by Zhang Jiao, Li Yuecheng, Zhang Dazhi

“…In recent years, desert habitat diversity in Baijitan National Nature Reserve of Lingwu in Ningxia has formed along with the development of control engineering. However, there is lack of the information on the diversity and distribution patterns of soil animals, the correlation between distribution patterns of soil animals and process of habitat change.Knowledge of the temporal variability of soil animal populations and species is crucial to understand the soil community dynamics. …”
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Comprehensive Analysis to Reveal Amino Acid Metabolism-Associated Genes as a Prognostic Index in Gastric Cancer by Gangjun Zhao, Mi Wu, Qiuwen Yan

“…We developed a scoring system (AAM score) based on 4 AAM gene expressions to measure the AAM patterns of each patient. …”
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Exploring AI Ethics Syllabi Through NLP Cluster Analysis by Kerrie Hooper, Stephanie Lunn

“…Numerous professional organizations, such as IEEE have developed AI ethics guidelines. Additionally, academia is essential for fostering innovation and developing gifted people who work in both the ethical and technical spheres. …”
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Detection of Abnormal Symptoms Using Acoustic-Spectrogram-Based Deep Learning by Seong-Yoon Kim, Hyun-Min Lee, Chae-Young Lim, Hyun-Woo Kim

“…In this work, we extract key features such as spectrograms, Mel-spectrograms, and MFCCs from raw acoustic data and use them as input for training a convolutional neural network. …”
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Evaluating traditional Chinese medicine diagnostic instruments for functional dyspepsia: A systematic review on measurement properties by Leonard TF Ho, Vincent CH Chung, Charlene HL Wong, Irene XY Wu, Kun Chan Lan, Darong Wu, Jerry WF Yeung, Nevin L Zhang, Ting Hung Leung, Justin CY Wu

“…None of them was considered reliable or valid for guiding TCM pattern diagnosis. To support the evidence base of the standardization of TCM patterns in ICD-11, TCM diagnostic instruments should be developed and validated rigorously under the COSMIN guidelines. …”
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A case study of extreme rainstorm in northern Xinjiang under the influence of large-scale circulation and topography by Jiangang Li, Jiangang Li, Jiangang Li, Jiangang Li, Boyuan Li, Cailian Jiang, Yufei Jiang, Yufei Jiang, Yufei Jiang, Yufei Jiang, Jinru Zhang, Jinru Zhang, Jinru Zhang, Jinru Zhang, Lianmei Yang, Lianmei Yang, Lianmei Yang, Lianmei Yang, Na Li

“…This triggered the rapid development and maintenance of Meso-β-scale convective cloud clusters, resulting in localized short-duration precipitation. …”
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Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics by Pavel Ilyushin, Boris Papkov, Aleksandr Kulikov, Konstantin Suslov

“…The algorithm and methods developed to analyze the power consumption patterns of industrial enterprises can be used to develop automatic power consumption management systems.…”
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Onset of autoimmune hepatitis in children and adolescents considering disease phenotypes by M.B. Dyba

“…The study aimed to analyze the patterns of AIH onset in children and adolescents, considering its phenotypes. ­…”
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“Chatbot Communication” as an Object of Linguistic Research in the System of Digital Communications by S. V. Kiseleva, A. A. Smirnova, N. A. Trofimova

“…The topic is of particular interest to linguists, since the active development of the digital environment leads to the emergence of new means and forms of speech production and speech perception, with their own distinctive features, patterns and rules of construction. …”
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