Pulmonary Neoplasms in Patients with Birt-Hogg-Dubé Syndrome: Histopathological Features and Genetic and Somatic Events. by Mitsuko Furuya, Reiko Tanaka, Koji Okudela, Satoko Nakamura, Hiromu Yoshioka, Toyonori Tsuzuki, Ryo Shibuya, Kazuhiro Yatera, Hiroki Shirasaki, Yoshiko Sudo, Naoko Kimura, Kazuaki Yamada, Shugo Uematsu, Toshiaki Kunimura, Ikuma Kato, Yukio Nakatani

Get full text

Individual Typological Features of Postresuscitative Cerebral Changes: Role of Heat Shock Proteins HSP70 by M. Sh. Avrushchenko, I. V Ostrova, Yu.V. Zarzhetsky, A. V. Volkov

“…The specific features of exhibition of the neuroprotective properties of HSP70 depending on individual typological features of the organism are one of the important factors of different cerebral resistance to postresuscitative damages. …”
Get full text

Changes in Histological Features, Apoptosis and Necroptosis, and Inflammatory Status in the Livers and Kidneys of Young and Adult Rats by Emine Rumeysa Hekimoğlu, Mukaddes Eşrefoğlu, Birsen Elibol, Seda Kırmızıkan

“…Results: The histological features of the livers and kidneys of the 6-week-old rats were consistent with healthy mammalian organ features, while some histological changes were detected in sections of the 10-month-old rats. …”
Get full text

Immunization with Complete Freund’s Adjuvant Reveals Trained Immunity-like Features in A/J Mice by Kiruthiga Mone, Shraddha Singh, Fatema Abdullatif, Meghna Sur, Mahima T. Rasquinha, Javier Seravalli, Denise K. Zinniel, Indranil Mukhopadhyay, Raul G. Barletta, Teklab Gebregiworgis, Jay Reddy

“…Specifically, we observed an increased level of lactate, indicative of aerobic glycolysis, which is implicated in TI, and this was also detected in the IFA group. Fourth, epigenetic analysis revealed histone enrichment in the promoter region of TNF-α, in the CFA group, but to a lesser degree than the BCG group. …”
Get full text

Distinguishing Human Journalists from Artificial Storytellers Through Stylistic Fingerprints by Van Hieu Tran, Yakub Sebastian, Asif Karim, Sami Azam

Get full text

Cloud-edge collaborative data anomaly detection in industrial sensor networks. by Tao Yang, Xuefeng Jiang, Wei Li, Peiyu Liu, Jinming Wang, Weijie Hao, Qiang Yang

“…Nevertheless, the majority of existing methodologies face challenges in simultaneously and comprehensively analyzing both features. To solve the limitations above, this paper develops a cloud-edge collaborative data anomaly detection approach for industrial sensor networks that mainly consists of a sensor data detection model deployed at individual edges and a sensor data analysis model deployed in the cloud. …”
Get full text

Detection Storage Time of Mild Bruise’s Loquats Using Hyperspectral Imaging by Zhaoyang Han, Bin Li, Qiu Wang, Akun Yang, Yande Liu

“…Due to the fact that the color features can be used to perform the conditions of the darkened and brownish regions in bruise’s loquats, the combined spectral information and the color features method is proposed to accurately detect the storage time of mild bruise’s loquats in this study. …”
Get full text

Study on the Detection of Chlorophyll Content in Tomato Leaves Based on RGB Images by Xuehui Zhang, Huijiao Yu, Jun Yan, Xianyong Meng

“…This paper aims to explore an efficient and low-cost non-destructive method for detecting chlorophyll content (SPAD) and investigate the feasibility of smartphone image analysis technology in predicting chlorophyll content in greenhouse tomatoes. …”
Get full text

Machine learning to detect melanoma exploiting nuclei morphology and Spatial organization by Giulia Veronesi, Nico Curti, Aldo Gardini, Giulia Querzoli, Gastone Castellani, Emi Dika

“…The images were first processed using a multi-resolution image processing pipeline with the aim of segmenting nuclei, evaluating their geometrical and morphological features, as well as their spatial organization. To characterize each slide, these features were synthesized into 44 variables, which were then subjected to Linear Discriminant Analysis. …”
Get full text

A Multimodal Semantic-Enhanced Attention Network for Fake News Detection by Weijie Chen, Yuzhuo Dang, Xin Zhang

“…The proliferation of social media platforms has triggered an unprecedented increase in multimodal fake news, creating pressing challenges for content authenticity verification. Current fake news detection systems predominantly rely on isolated unimodal analysis (text or image), failing to exploit critical cross-modal correlations or leverage latent social context cues. …”
Get full text

Social Media Text Stance Detection Based on Large Language Models by LI Juhao, SHI Lei, DING Meng, LEI Yongsheng, ZHAO Dongyue, CHEN Long

“…This improves the representation of stance features and enhances the overall performance of the model in stance detection tasks. …”
Get full text

Copper Stress Levels Classification in Oilseed Rape Using Deep Residual Networks and Hyperspectral False-Color Images by Yifei Peng, Jun Sun, Zhentao Cai, Lei Shi, Xiaohong Wu, Chunxia Dai, Yubin Xie

“…This study proposes an efficient and precise non-destructive detection method for Cu stress in oilseed rape, which is based on hyperspectral false-color image construction using principal component analysis (PCA). …”
Get full text

Kans-Unet Model and Its Application in Image Patch-Shaped Detection by Xingsu Li, Zhong Li, Jianping Huang, Ying Han, Kexin Zhu, Bo Hao, Junjie Song, Yumeng Huo

“…It solves the problem of long model training time caused by insufficient computing power and provides a new method for the detection and analysis of abnormal features in power spectrum images.…”
Get full text

A hybrid super learner ensemble for phishing detection on mobile devices by Routhu Srinivasa Rao, Cheemaladinne Kondaiah, Alwyn Roshan Pais, Bumshik Lee

“…By focusing on extracting features from URLs, including handcrafted features, transformer-based text embeddings, and other Deep Learning (DL) architectures, the proposed model offers several advantages: fast computation, language independence, and robustness against accidental malware downloads. …”
Get full text

Violence Detection From Industrial Surveillance Videos Using Deep Learning by Hamza Khan, Xiaohong Yuan, Letu Qingge, Kaushik Roy

“…Next, SoftMax classifier processes the extracted features to categorize frame sequences as violent or non-violent. …”
Get full text

DCE-YOLOv8: Lightweight and Accurate Object Detection for Drone Vision by Jinsu An, Dong Hee Lee, Muhamad Dwisnanto Putro, Byeong Woo Kim

“…The DCE module focuses on extracting features pertinent to small objects. Subsequently, the rate of missed detections is mitigated by comprehensively merging the shallow and deep features extracted from the neck part. …”
Get full text

Stochastic algorithm for HDFS data theft detection based on MapReduce by Yuanzhao GAO, Binglong LI, Xingyuan CHEN

“…To address the problems of big data efficient analysis and insider theft detection in the data theft detection of distributed cloud computing storage,taking HDFS (hadoop distributed file system) as a case study,a stochastic algorithm for HDFS data theft detection based on MapReduce was proposed.By analyzing the MAC timestamp features of HDFS generated by folder replication,the replication behavior’s detection and measurement method was established to detect all data theft modes including insider theft.The data set which is suitable for MapReduce task partition and maintains the HDFS hierarchy was designed to achieve efficient analysis of large-volume timestamps.The experimental results show that the missed rate and the number of mislabeled folders could be kept at a low level by adopting segment detection strategy.The algorithm was proved to be efficient and had good scalability under the MapReduce framework.…”
Get full text

Ice Thickness Detection of Transmission Lines Based on Cross-Guide-UNet by Yu Zhang, Yangyang Jiao, Yinke Dou, Liangliang Zhao, Qiang Liu, Yang Liu

“…The CG-UNet model effectively detects ice-covered edges through experimental analysis, achieving optimal dataset scale (ODS) and optimal image scale (OIS) scores of 0.934 and 0.938, respectively. …”
Get full text

GSB: GNGS and SAG-BiGRU network for malware dynamic detection. by Zhanhui Hu, Guangzhong Liu, Xinyu Xiang, Yanping Li, Siqing Zhuang

“…The traditional malware detection method is highly dependent on professional knowledge and static analysis, so we used the Self-Attention with Gate mechanism (SAG) based on the Transformer to carry out feature extraction between the local and global features and filter irrelevant noise information, then extracted the long-distance dependency temporal sequence features by the BiGRU network, and obtained the classification results through the SoftMax classifier. …”
Get full text

PECULIARITIES OF COMMUNICATIVE BEHAVIOR OF A MASCULINE CULTURE TYPE "PRIVATE DETECTIVE" by Elena Kusaeva, Tatyana Tameryan

“…Using the method of continuous sampling, semantic analysis, and discourse and contextual analysis techniques we analyze features of non-verbal communicative behavior of the masculine culture type "private detective", represented by Sherlock Holmes, the fiction character of the English detective discourse of Conan Doyle. …”
Get full text