Refining prognostic stratification of atypical meningiomas: significance of chromosome 1p deletion and brain invasion by Greta Zanconato, Gonzalo Hernandez Gamero, Andrea Mafficini, Serena Pedron, Davide Mulone, Sara Alberti, Maria Caffo, Valeria Barresi

“…In conclusion, FISH-detected 1p deletion is a reliable prognostic marker for atypical meningiomas, and its assessment, along with histopathological and immunohistochemical features, can refine the prognostic stratification of these tumors.…”
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Short-term electromagnetic precursors of earthquakes by B. V. Dovbnya, A. Yu. Pashinin, R. A. Rakhmatulin

“…Detailed morphological and statistical analysis was carried out, and common and specific features were considered. …”
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A novel lncRNA-hidden polypeptide regulates malignant phenotypes and pemetrexed sensitivity in A549 pulmonary adenocarcinoma cells by Xiaobing Han, Liangxin Chen, Peng Sun, Xiuqing Wang, Qian Zhao, Lingfeng Liao, Dejin Lou, Nan Zhou, Yujun Wang

“…The polypeptide had tumor-suppressor features in A549 cells by repressing cell growth, motility and invasion. …”
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Partly Duffing Oscillator Stochastic Resonance Method and Its Application on Mechanical Fault Diagnosis by Jian Dang, Rong Jia, Xingqi Luo, Hua Wu, Diyi Chen

“…However, based on the analysis of the impact of noise intensity on SR effect, it is concluded that the detection results are dramatically limited by the noise intensity of measured signals, especially for incipient fault feature of mechanical system with poor working environment. …”
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Fog-Enabled Multimodal Chest-Worn Device for Systolic Blood Pressure Monitoring by Pamela Salas, Jose-Manuel Mejia-Munoz, Rafael Gonzalez-Landaeta

“…Here, a new fog-based deep learning architecture that extracts features directly from raw signals to estimate the SBP is proposed. …”
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Hydrolytic Degradation and Assessment of Performance of PLA and PBS-Based Plastics Designed for Packaging Applications by Alberto Lagazzo, Cristina Moliner, Elisabetta Finocchio, Samantha Caputo, Elisabetta Arato

“…FTIR for both PLA and PBS-based materials indicated that the typical features of the polymers were not significantly changed at the different tested temperatures and no degradation products were detected at pH 3, 5, and 7.5. …”
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Novel De Novo Intronic Variant of SYNGAP1 Associated With the Neurodevelopmental Disorders by Wuming Xie, Baoqiong Liao, Mei Shuai, Rutian Liu, Min Hong, Shuwen He

“…Pathogenic variants in SYNGAP1 have been associated with a spectrum of neurodevelopmental disorders characterized by developmental delays, intellectual disabilities, epilepsy, hypotonia, and the features of autism spectrum disorder. The aim of this study was to identify a novel SYNGAP1 gene variant linked to neurodevelopmental disorders and to evaluate the pathogenicity of the detected variant. …”
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Logopenic and nonfluent variants of primary progressive aphasia are differentiated by acoustic measures of speech production. by Kirrie J Ballard, Sharon Savage, Cristian E Leyton, Adam P Vogel, Michael Hornberger, John R Hodges

“…Measures, corresponding to perceptual features of apraxia of speech, were periods of silence during reading and relative vowel duration and intensity in polysyllable word repetition. …”
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Myeloperoxidase-Associated Membranous Nephropathy in Antineutrophil Cytoplasmic Antibody-Associated Glomerulonephritis by Kenta Tominaga, Etsuko Toda, Kazuhiro Takeuchi, Shoichiro Takakuma, Emi Sakamoto, Hideaki Kuno, Yusuke Kajimoto, Yasuhiro Terasaki, Shinobu Kunugi, Mika Terasaki, Hiroyasu Goto, Toshihiko Imakiire, Naoki Oshima, Akira Shimizu

“…Results: We detected proteomic MPO and granular capillary MPO deposits in all MPO-ANCA GN with MN cases. …”
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Zenith Tropospheric Delay Forecasting in the European Region Using the Informer–Long Short-Term Memory Networks Hybrid Prediction Model by Zhengdao Yuan, Xu Lin, Yashi Xu, Jie Zhao, Nage Du, Xiaolong Cai, Mengkui Li

“…By merging the features extracted by both models, the prediction capabilities of each can complement one another, allowing for a more comprehensive analysis of the characteristics present in ZTD data. …”
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Machine learning-based brain magnetic resonance imaging radiomics for identifying rapid eye movement sleep behavior disorder in Parkinson’s disease patients by Yandong lian, Yibin Xu, Linlin Hu, Yuguo Wei, Zhaoge Wang

“…Additionally, multi-factor logistic regression analysis identified clinical predictors associated with PD-RBD, and these clinical features were integrated with the radiomics signatures to develop predictive models using various machine learning algorithms. …”
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A preliminary study on greek esophageal speech and a method for quality and intelligibility enhancement by C. PASTIADIS, G. PAPANIKOLAOU

“…The present work is a preliminary study on Greek esophageal speech and is mainly concerned with the investigation of major features such as pitch, formant frequencies, and speech power envelopes. …”
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Integrated microbiome and metabolome approaches reveal the resistant mechanisms of leaf blight resistant plum cultivar by Xinyan Zhou, Yufei Wei, Yu Zhu, Jiaoming Li, Runche Zhou, Qingju Xiao, Ruihong Luo, Shangdong Yang

“…This study investigates the resistant mechanisms of leaf blight-resistant plum cultivars through comparative analysis of endophytic microbiome and metabolome features between leaf blight resistant (Mihuang Plum, RP) and susceptible (Pearl Plum, SP) cultivars. …”
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Transient Attracting Profiles in the Great Pacific Garbage Patch by L. Kunz, A. Griesel, C. Eden, R. Duran, R. Duran, B. Sainte-Rose

“…However, the concept remains unapplied since little is known about the persistence and attraction of these features, specifically within the Pacific. Therefore, we compute a 20-year dataset of daily TRAP detections from satellite-derived mesoscale velocities within the North Pacific subtropical gyre. …”
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Evaluation of GPR capabilities in the study of seismogenic faulting and deformation in the bottom sediments of Lake Upoloksha (northeast of the Fennoscandian shield) by A. I. Rodionov, S. B. Nikolaeva, P. A. Ryazantsev

“…The GPR survey of Lake Upoloksha demonstrates that the GPR method can be successfully applied to estimate the mineral and organogenic parts of the bottom sediments, study their lithostratigraphic features, and detect changes in the structure of the bottom sediments. …”
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USP4 promotes proliferation and metastasis in human lung adenocarcinoma by Yamin Wei, Shanwang Wei, Zhongteng Lei, Yan Zhang, Jinxiao Wu, Jinli Huang, Lijuan Fu, Zhimeng Li, Guiying Huang, Yuanna Liang, Jinhua Zheng

“…Abstract Research the expression of USP4 in lung adenocarcinoma and its correlation with clinicopathological features and prognosis analysis, to explore the invasion and metastasis mechanism of USP4 in lung adenocarcinoma, and to clarify the mechanism of USP4’s involvement in the occurrence and development of lung adenocarcinoma. …”
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Motor imagery EEG signal classification using novel deep learning algorithm by Sathish Mathiyazhagan, M. S. Geetha Devasena

“…In addition to that, continuous wavelet transform (CWT) is used for multi-resolution analysis. For spatial feature enhancement the proposed approach utilizes source power coherence (SPoC) integrated with common spatial patterns (CSP) for robust feature extraction. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…To ensure the reliability of these simulations, physical experiments are conducted on rock-like specimens, meticulously prepared using concrete and wood to replicate realistic rock mass conditions. These specimens, featuring prefabricated fractures, undergo GPR detection, and the resulting data are compared with the numerical simulations to validate the accuracy of the models.Results and Discussions　The analysis of the GPR data reveals fascinating insights into the dynamic behavior of rock fractures. …”
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Electroencephalographic signatures of migraine in small prospective and large retrospective cohorts by Bihua Bie, Samer Ghosn, Shehryar R. Sheikh, Matheus Lima Diniz Araujo, Reena Mehra, MaryAnn Mays, Carl Y. Saab

“…In the prospective analysis, no significant difference between migraine and control groups was detected in the mean power spectral density (PSD) of an all-electrodes montage in the frequency range of 1–32 Hz, whereas a significant PSD increase in single occipital electrodes was found at 12 Hz in migraine patients. …”
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Classification of offshore wind grid-connected power quality disturbances based on fast S-transform and CPO-optimized convolutional neural network. by Minan Tang, Hongjie Wang, Jiandong Qiu, Zhanglong Tao, Tong Yang

“…Then, the CPO-CNN classification model is used for feature extraction and feature selection of the time-frequency diagrams and classification of multiple power quality disturbances. …”
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