Empirical classification of fatigue-induced physiological tremor in robot-assisted manipulation tasks using BiLSTM-GRU network by Poongavanam Palani, Siddhant Panigrahi, Gunarajulu Renganathan, Yuichi Kurita, Asokan Thondiyath

“…This article proposes a novel sensing methodology and adds a distinctive feature to aid in classification. The classification of the progressive stages of fatigue-induced physiological tremor (FIPT) is based on the hybrid bidirectional long short-term memory neural network with a Gated Recurrent Unit (BiLSTM-GRU) presented in this work.MethodologyTwenty healthy participants volunteered in the study, where a teleoperation stage was set up using the Geomagic Haptic device—Touch. …”
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Temporal Segment Method in Sign Word Recognition Using a Pretrained CNN-LSTM Network by Seungju Lee, Irina Polyakova

“…The CNN-LSTM architecture is employed as the underlying technology, with the ResNet convolutional neural network responsible for extracting spatial features and the recurrent LSTM layer handling temporal dependencies in sequences. …”
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Multi-Domain Controversial Text Detection Based on a Machine Learning and Deep Learning Stacked Ensemble by Jiadi Liu, Zhuodong Liu, Qiaoqi Li, Weihao Kong, Xiangyu Li

“…Firstly, considering the multidimensional complexity of textual features, we integrate comprehensive feature engineering, i.e., encompassing word frequency, statistical metrics, sentiment analysis, and comment tree structure features, as well as advanced feature selection methodologies, particularly lassonet, i.e., a neural network with feature sparsity, to effectively address dimensionality challenges while enhancing model interpretability and computational efficiency. …”
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Can machine learning distinguish between elite and non-elite rowers? by Orten Kristine Fjellkårstad, Helgesen Sander Elias Magnussen, Chen Bihui, Baselizadeh Adel, Torresen Jim, Herrebrøden Henrik

“…The MLP model achieved an accuracy of 100% when using all input features, indicating that the problem is suitable as a machine learning task. …”
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Interactive online learning method for students based on artificial intelligence by Cizhang Li, Wenfen Yin

“…This study proposes a novel approach that integrates the Dwarf Mongoose Optimization (DMO) algorithm with a Gated Recurrent Unit (GRU) neural network to develop an AI-powered interactive online learning model. …”
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DDoSNet: Detection and prediction of DDoS attacks from realistic multidimensional dataset in IoT network environment by Goda Srinivasa Rao, P. Santosh Kumar Patra, V.A. Narayana, Avala Raji Reddy, G.N.V. Vibhav Reddy, D. Eshwar

“…The ESN classifier utilizes the selected features to learn the underlying patterns and dynamics of network traffic, enabling accurate identification of DDoS attacks. …”
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ResGRU: A Novel Hybrid Deep Learning Model for Compound Fault Diagnosis in Photovoltaic Arrays Considering Dust Impact by Xi Liu, Hui Hwang Goh, Haonan Xie, Tingting He, Weng Kean Yew, Dongdong Zhang, Wei Dai, Tonni Agustiono Kurniawan

“…With the widespread deployment of photovoltaic (PV) power stations, timely identification and rectification of module defects are crucial for extending service life and preserving efficiency. …”
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Research on series arc fault detection method household loads based on voltage signals by Bin Li, Jiahui Shu, Feifan Cui

“…Secondly, Inception is introduced to extract the multi-level features of the samples, and the parallel output is input into BiLSTM after global max pooling layer. …”
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Chromobacterium haemolyticum Infection Subsequent to Experiencing a Traumatic Event in a Rice Field: A Case Report and Literature Review by Mikiro Kato, Hiroyuki Kobayashi, Takuro Uchida

“…The incidence of infections caused by Chromobacterium haemolyticum, phylogenetically related however distinct from Chromobacterium violaceum, has increased since its identification in 2008. Differences in their unique microbiological features have been highlighted, particularly regarding their phenotypic distinctions in the colony pigmentation and hemolysis. …”
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VETC predicting model based on CE-CT can predict prognosis and assisting treatment plan for solitary HCC: better together with radiomics by Yu-Meng Zhao, Shuang-Shuang Xie, Jian Wang, Zhan-Dong Hu, Sheng-Juan Yao, Rui-Hang Wang, Jia-Ming Qin, Cheng Zhang, Ya-Min Zhang, Zhao-Xiang Ye, Jian-Hua Yan, Wen Shen

“…Conclusion The CRIR model provides accurate preoperative identification of VETC-HCC and offers prognostic value for early recurrence following RR or LT, tumor response after TACE and surgical approach selection between RR and LT in solitary HCC.…”
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Myoepithelioma-like hyalinizing epithelioid tumors of the palm: A case report by Xiaoxiao Bao, Qianqian Lu, Bifei Huang, Xiaowei Zhang

“…Given the distinct tissue morphology and the recent identification of this tumor type, clinicians and pathologists must be aware of these features to facilitate accurate diagnosis and inform treatment strategies.…”
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Managing PVR in the Era of Small Gauge Surgery by Manish Nagpal, Rakesh Juneja, Sham Talati

“…Based upon the presence of clinical features and due to associated underlying risk factors, it is classified into various grades based upon its severity and extent of involvement. …”
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Proteogenomic analysis dissects early-onset breast cancer patients with prognostic relevance by Kyong-Ah Yoon, Youngwook Kim, So-Youn Jung, Jin-Sun Ryu, Kyung-Hee Kim, Eun-Gyeong Lee, Heejung Chae, Youngmee Kwon, Jaegil Kim, Jong Bae Park, Sun-Young Kong

“…Furthermore, we derived a recurrence predictive index capable of predicting late recurrence, specifically in luminal subtypes, which plays a crucial role in guiding decisions on treatment durations for YBC patients. …”
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Uncommon but Important: Tertiary Center Experience with Rare Cases of Breast Hamartoma by Mihaela Camelia Tîrnovanu, Bogdan Florin Toma, Elena Cojocaru, Elena Țarcă, Ștefan Dragoș Tîrnovanu, Vlad Gabriel Tîrnovanu, Cristian Mârțu, Roxana Ana Covali, Anca Irina Gradinariu, Gabriela Ghiga, Ludmila Lozneanu

“…Accurate identification of hamartomas is crucial due to the potential for recurrence. …”
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CLINICAL-EPIDEMIOLOGICAL CHARACTERISTIC OF ECHINOCOCCOSIS IN ZAPOROZHYE REGION by E. V. Ryabokon, O. V. Zarudnaya, N. S. Ushenina

“…The aim of this work: to analyze clinical-epidemiological features of echinococcosis in Zaporozhye region. …”
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Volga-Finnic Dialects in the Historical Merya Lands According to Toponymic Data. Linguistic Calques. I by Oleg Vitalyevich Smirnov

“…The key to etymologizing lexical facts within the local toponymic system, presumably left by the Merya and Muroma languages, lies in the identification of several dozen instances of geographical name calquing. …”
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Therapeutic Prospects of Abemaciclib for Patients with Endometrial Cancer by Ahmad Awada, Sarfraz Ahmad

“…The standard of care for primary disease consists of surgical resection with/without chemotherapy ± radiotherapy for select patients. Recurrence is common in patients with advanced-stage disease and/or high-risk features, who primarily are treated with systemic therapy. …”
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Preoperative assessment of tertiary lymphoid structures in stage I lung adenocarcinoma using CT radiomics: a multicenter retrospective cohort study by Xiaojiang Zhao, Yuhang Wang, Mengli Xue, Yun Ding, Han Zhang, Kai Wang, Jie Ren, Xin Li, Meilin Xu, Jun Lv, Zixiao Wang, Daqiang Sun

“…Abstract Objective To develop a multimodal predictive model, Radiomics Integrated TLSs System (RAITS), based on preoperative CT radiomic features for the identification of TLSs in stage I lung adenocarcinoma patients and to evaluate its potential in prognosis stratification and guiding personalized treatment. …”
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MODERN VIEWS ON BILATERAL BREAST CANCER by Ye. A. Fesik, N. V. Krakhmal, M. V. Zavyalova, V. M. Perelmuter, Ye. M. Slonimskaya, S. V. Vtorushin

“…Relevance of the issue because the identification of patterns in the study of lymphatic and hematogenous features bilateral metastasis of mammary tumors provides a basis for speculation about the differences in the progression of neoplastic disease in these groups and is a cause for further detailed research in this area to identify and evaluate the prognosis and also the choice of tactics of such patients.…”
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Multi-Omics-Based Analysis of the Effect of Longevity Genes on the Immune Relevance of Colorectal Cancer by Yichu Huang, Guangtao Min, Hongpeng Wang, Lei Jiang

“…This analysis led to the identification of two distinct molecular subtypes and revealed that alterations in LAGs across various layers were linked to clinicopathological features, prognosis, and cell infiltration characteristics within the tumor microenvironment (TME). …”
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