Decoding Parkinson’s diagnosis: An OCT-based explainable AI with SHAP/LIME transparency from the Persian Cohort Study by Zohreh Ganji, Farzaneh Nikparast, Naser Shoeibi, Ali Shoeibi, Hoda Zare

“…Model interpretability was ensured via SHAP (global feature importance) and LIME (local explanations). …”
Get full text

A multi-biomarker machine learning approach for early prediction of interstitial lung disease in rheumatoid arthritis by Jiaojiao Xu, Wei Zhang, Weili Bai, Nannan Gai, Jing Li, Yunqi Bao

“…The ILD group exhibited significantly elevated levels of inflammatory markers and specific biomarkers, particularly KL-6 (826.4 ± 458.2 vs. 285.6 ± 124.8 U/ml, P < 0.001), alongside distinct patterns in hematological parameters. Conclusion Machine learning approaches, particularly XGBoost, demonstrate promising potential for early RA-ILD prediction. …”
Get full text

SpatConv Enables the Accurate Prediction of Protein Binding Sites by a Pretrained Protein Language Model and an Interpretable Bio-spatial Convolution by Mingming Guan, Jiyun Han, Shizhuo Zhang, Hongyu Zheng, Juntao Liu

“…SpatConv extracts sequence features from a pretrained large protein language model and structure features from a local coordinate framework. …”
Get full text

Increasing the efficiency of teaching the topic "Burns, frostbites, electric traumas" by means of modern educational technology by Nor N.N.

“…The method is used to find similarities in different patterns of giving medical care to patients with burns, frostbites and electric trauma. …”
Get full text

“Life of Constantine” by Eusebius of Caesarea as “sacred history”: a typology of Moses — Constantine by Maksim Prikhodko

“…Following the Logos, Constantine performs the same pattern Moses fulfilled in his life. In the development of the typological line of Moses-Constantine, three moments of the formation of the figure of Constantine in sacred history are traced: receiving the kingdom, accepting the ministry of the priesthood, and gaining the gift of prophecy. …”
Get full text

Leveraging multi-source data and teleconnection indices for enhanced runoff prediction using coupled deep learning models by Jintao Li, Ping Ai, Chuansheng Xiong, Yanhong Song

“…Support Vector Regression (SVR) and Multi-Layer Perceptron Regression (MLPR) were chosen due to their strong adaptability in capturing nonlinear relationships and extracting latent hydrological patterns. The integration of these methods significantly improves prediction accuracy and model stability. …”
Get full text

Identification and Interpretation of Cultural Landscape Field from the Integral Conservation Perspective by Zhitong LIANG, Yan DU, Haiyan XIA

“…Through synthesizing theoretical postulates from multidisciplinary scholarship on spatial interpretation, this research establishes the application logic of field paradigm in spatial cognition and mechanistic explanation: Conceptual demarcation of the spatial field entity coupled with identification of its core driving forces; abstraction of operational logic encompassing participatory actor typologies and their interaction patterns; elucidation of the mechanistic relationships between constituent elements and the integral system through nodal field effects. …”
Get full text

The construction of HMME-PDT efficacy prediction model for port-wine stain based on machine learning algorithms by Hongxia Yan, Yixin Tan, Fan Qiao, Zhuotong Zeng, Yaqian Shi, Xueqin Zhang, Lu Li, Ting Zeng, Yi Zhan, Ruixuan You, Xinglan He, Rong Xiao, Xiangning Qiu

“…RFE identified the top predictive factors: dermoscopy vascular pattern, immediate fluorescence intensity (IFI) after HMME-PDT, the facial port-wine stain area and severity index score, and age. …”
Get full text

Blood test use in Korean Medicine for monitoring herbal medicine safety by Eunbyul Cho, Mi Mi Ko, Changsop Yang, Sungha Kim

“…We assessed respondents’ characteristics, perceptions, current use and usage patterns, including frequency and indication of BT, and unmet BT needs. …”
Get full text

Automated Cough Analysis with Convolutional Recurrent Neural Network by Yiping Wang, Mustafaa Wahab, Tianqi Hong, Kyle Molinari, Gail M. Gauvreau, Ruth P. Cusack, Zhen Gao, Imran Satia, Qiyin Fang

“…These findings provide insights into the strengths and limitations of various algorithms, highlighting the potential of CRNNs in analyzing complex cough patterns. This research demonstrates the potential of neural network models in fully automated cough monitoring. …”
Get full text

Comparative thoracic radiography in healthy and tuberculosis-positive sun bears (Helarctos malayanus) by Kirsty Officer, Kirsty Officer, Natalie Webster, Alana J. Rosenblatt, Phorn Sorphea, Kris Warren, Kris Warren, Bethany Jackson, Bethany Jackson

“…Agreement was lower for the presence of specific lung patterns, reflecting inherent subjectivity when classifying these features. …”
Get full text

Corruption and neo-colonialism in Latin America by Nubia Nieto

“…The roots of corruption in underdeveloped countries can be traced from Colonial times from South America, Asia to Africa the pattern seems to be repeated: populations subjugated to new masters, disenfranchised indigenous people, labour and sexual exploitation, brutal punishments for those who resisted colonial power were commune features for countries that experienced colonialism. …”
Get full text

Evolutionary analysis of landscape ecological risk in Baili Rhododendron National Forest Park. by Yin Yu, Wengang Cui, Suihua Liu, Ting Yu, Yang Song

“…The overall landscape ecological risk index has witnessed a decline, indicating a positive trajectory in the development of the ecological environment.…”
Get full text

Towards Automated Error Analysis: Learning to Characterize Errors by Tong Gao, Shivang Singh, Raymond Mooney

“…Characterizing the patterns of errors that a system makes helps researchers focus future development on increasing its accuracy and robustness. …”
Get full text

Acoustic cues for person identification using cough sounds by Van-Thuan Tran, Ting-Hao You, Wei-Ho Tsai

“…The proposed architecture, CoughCueNet, is a convolutional recurrent neural network designed to capture both spatial and temporal patterns in cough sounds. The training process incorporates a hybrid loss function that combines supervised contrastive (SC) learning and cross-entropy (CE) loss to enhance feature discrimination. …”
Get full text

Exploration of the ubiquitination-related molecular classification and signature to predict the survival and immune microenvironment in colon cancer by Ji-Zhong Xu, Tian-Qi Wan, Jin-Song Su, Jun-Min Song

“…Subtype feature genes were selected through Lasso logistic regression and SVM-RFE algorithm. …”
Get full text

Well Performance from Numerical Methods to Machine Learning Approach: Applications in Multiple Fractured Shale Reservoirs by Kailei Liu, Boyue Xu, Changjea Kim, Jing Fu

“…Then, feature selection is performed to determine the key factors. …”
Get full text

Data-Driven Approaches for Efficient Vehicle Driving Analysis: A Survey by Iryna I. Husyeva, Ismael Navas-Delgado, José García-Nieto

“…Efficient vehicle driving generally intends to reduce fuel consumption, emissions of harmful substances, and accident rates based on energy-efficient driving patterns as a set of parameters defining optimal vehicle and route characteristics, together with specific ways of driving a vehicle that the particular driver applies. …”
Get full text

Transient Overvoltage Prediction Method for Renewable Energy Stations via Knowledge-Embedded Enhanced Deep Neural Network by Guangyao Wang, Jun Liu, Jiacheng Liu, Yuting Li, Tianxiao Mo, Sheng Ju

“…By incorporating theoretical calculation values of the TOV into the input features, the task of the deep neural network (DNN) shifts from mining relationships within large datasets to revealing the correlation patterns between theoretical calculations and real values, thereby improving the robustness of the prediction model in cases of insufficient training data and irrational feature construction. …”
Get full text

Deciphering hypoxia’s role in hepatocellular carcinoma prognosis with single-cell approaches by Jun Liang, Di Chen, Huiyu Liang

“…To probe the effects of hypoxia on HCC invasion, we developed the Cell Hypoxia-Related Prognostic Feature (CHPF). …”
Get full text