The Fake History: Soviet Totalitarianism and the Memory of the Guerrilla War by Bernardas Gailius

“…The systematic Soviet repressions were aimed at the complete destruction of the Lithuanian social pattern. They prevented the traditional and the exemplary narratives from appearing. …”
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A study on ecological risk identification based on ecosystem service supply and demand in Xinjiang by Xuemei Wei, Abudukeyimu Abulizi, Le Yuan, Junxia Wang, Shaojie Bai, Shanshan Tang, Amanzhuli Yerkenhazi

“…Conventional ecological risk assessments have predominantly emphasized landscape pattern analysis, often overlooking considerations related to human well-being. …”
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Bridging Science and Lifestyle: A Feasibility Study for Developing a Novel Functional Food to Support Well-Being by Efstratios Christodoulou, Sotiria Laoutari, Fani Athanasiou, Eleni Poutli, Demetriana Andreou, Yiannis Kourkoutas, Antonios E. Koutelidakis

“…Most functional foods consumed were natural and aligned with the Mediterranean dietary pattern, such as fruits, vegetables, nuts, herbal infusions, and honey, all demonstrating positive effects on mental and physical health. …”
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An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids by Mohammad Mehdi Sharifi Nevisi, Mehrdad Shoeibi, Francisco Hernando-Gallego, Diego Martín, Sarvenaz Sadat Khatami

“…To address these challenges, this study proposes a novel deep reinforcement learning (DRL)-based framework, integrating a convolutional neural network (CNN) for hierarchical feature extraction and a recurrent neural network (RNN) for sequential pattern recognition and time-series modeling. …”
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Editorial by Sorana D. BOLBOACĂ, Sebastian-Aurelian ȘTEFĂNIGĂ, Mircea-Sebastian ȘERBĂNESCU

“…RoMedINF's multifaceted approach to knowledge dissemination, featuring keynote speeches, oral presentations, poster sessions, and demonstrations, fosters an environment of active learning and engagement. …”
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Survival outcomes and prognostic impact of adjuvant chemotherapy in stage IB lung adenocarcinoma with cribriform component by Rongyang Li, Yu Zhang, Jianhao Qiu, Mingyang Zang, Zhenguo Sun

“…Abstract Background Cribriform morphology is a distinct high-grade pattern associated with aggressive tumor biology and poor survival outcomes in lung adenocarcinoma (LUAD). …”
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Towards interpretable drug interaction prediction via dual-stage attention and Bayesian calibration with active learning by Rongpei Li, Yufang Zhang, Heqi Sun, Shenggeng Lin, Guihua Jia, Yitian Fang, Chen Zhang, Xiaotong Song, Jianwei Zhao, Lyubin Hu, Yajing Yuan, Xueying Mao, Jiayi Li, Aman Kaushik, Dandan An, Dongqing Wei

“…Conclusion We present DABI-DDI, an integrated feature extraction framework that successfully addresses key challenges in DDIs prediction through three major innovations: Temporal pattern recognition, reducing false positives, and biological interpretability. …”
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Comparative study of brain activity and functional connectivity in blepharospasm and blepharospasm-oromandibular dystonia by Yanying Wang, Min Luo, Bo Hou, Yang Li, Yingmai Yang, Feng Feng, Lin Wang, Xinhua Wan

“…Further, BOM is featured with widespread connectivity reduction in the sensorimotor cortico-basal ganglia-brainstem-cerebellar network deriving from these key regions. …”
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Isolation and identification of patient-derived liver cancer stem cells and development of personalized treatment strategies by Tingting Guo, Shuai Zhang, Weiping Zeng, Yan Liang, Jinghe Xie, ShouPei Liu, Yaqi Qiu, Yingjie Fu, Yimeng Ou, Keqiang Ma, Bailin Wang, Weili Gu, Yuyou Duan

“…These cloned LCSCs could be cryopreserved, and still maintained the feature of colony growth on MEFs after the recovery. …”
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Mechanism of p27 upregulation induced by downregulation of cathepsin B and uPAR in glioma by Sreelatha Gopinath, Kiranmai Alapati, Rama Rao Malla, Christopher S. Gondi, Sanjeeva Mohanam, Dzung H. Dinh, Jasti S. Rao

“…Deregulation of the G1 phase cell cycle machinery is a common feature of cancers. p27Kip1 (p27) is one of the major cyclin‐CDK regulators in the G1 phase. uPAR and cathepsin B downregulation was recently shown to induce p27 expression through PI3K/Akt/FOXO3a signaling. …”
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Planning for Cultural Connectivity: Modeling and Strategic Use of Architectural Heritage Corridors in Heilongjiang Province, China by Lyuhang Feng, Jiawei Sun, Tongtong Zhai, Mingrui Miao, Guanchao Yu

“…Kernel density analysis reveals a distinct spatial aggregation pattern, characterized by “one core, multiple zones.” …”
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Comparative Study of Rheological Properties of Gels and Creams on Different Carrier Bases by U. V. Nogaeva, A. A. Naumova, A. G. Novinkov, E. V. Flisyuk, M. A. Burakova, A. N. Shikov, O. N. Abrosimova

“…The tension at the moment of tester stock introduction reflects the yield strength.Further, with the immersed tester devoce, a thixotropic recovery of the destroyed structural bonds occurs. Such a pattern in the dynamics of structure resistance is observed for structured (non-Newtonian) liquids.Conclusion. …”
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Association between pan-immune-inflammation value and Serum Klotho levels: a cross-sectional analysis of renal function mediation by Mingjie Liu, Xuan Zhou, Han Xu, Yan Wang, Yuting Duan, Xiangru Guo, Bai Wei

“…This relationship exhibited a U-shaped pattern with a threshold effect at PIV=800 (P for log-likelihood ratio = 0.003). …”
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Sentences, entities, and keyphrases extraction from consumer health forums using multi-task learning by Tsaqif Naufal, Rahmad Mahendra, Alfan Farizki Wicaksono

“…Second, we establish a baseline for all three tasks within the Indonesian language domain by employing transformer-based models with nine distinct encoder variations. Our feature studies revealed an interdependence among these three tasks. …”
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Aplicación de las Máquinas de Soporte Vectorial (SVM) al diagnóstico clínico de la Enfermedad de Párkinson y el Temblor Esencial by Roberto González, Antonio Barrientos, Marcelo Toapanta, Jaime del Cerro

“…Palabras clave: Ayuda al diagnóstico, clasificadores binarios, clasificación Párkinson-Esencial, medida objetiva del temblor, análisis de patrones, extracción de características, diagnóstico médico, Keywords: Computer Assisted diagnosis, binary classifiers, Parkinson- Essential classification, objective tremor measure, pattern analysis, feature extraction, medical diagnosis…”
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The outcome prediction method of football matches by the quantum neural network based on deep learning by Yang Sun, Hongyang Chu

“…The data are cleaned, standardized, and feature-engineered to meet the input requirements of neural network models. …”
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Facial Expression Recognition and Digital Images Infosecurity for Prevention Care System Application in Sudden Infant Death Syndrome Monitoring by Chih-Te Tsai, Chia-Hung Lin, Hsiang-Yueh Lai, Yu-En Cheng, Ping-Tzan Huang, Neng-Sheng Pai, Chien-Ming Li

“…Thus, to ensure secure SIDS monitoring, the SAES-based scheme implements robust block encryption and decryption processes to protect the privacy and security of infant images, while the YOLOv10 model enhances real-time OD, feature extraction, and pattern recognition capabilities. …”
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PyGlaucoMetrics: A Stacked Weight-Based Machine Learning Approach for Glaucoma Detection Using Visual Field Data by Mousa Moradi, Saber Kazeminasab Hashemabad, Daniel M. Vu, Allison R. Soneru, Asahi Fujita, Mengyu Wang, Tobias Elze, Mohammad Eslami, Nazlee Zebardast

“…Permutation importance analysis revealed that the superior temporal sector was the most influential VF feature, with importance scores of 0.08 in Kang’s and 0.04 in HAP2_part1 models. …”
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Machine learning aids in the discovery of efficient corrosion inhibitor molecules by Haiyan GONG, Lingwei MA, Dawei ZHANG

“…Specifically, ML models can extract key information and construct predictive models through feature extraction and pattern recognition using existing data. …”
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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

“…After preprocessing and feature extraction, we determined the optimal modeling method for prediction accuracy through comparative analysis of multiple models. …”
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