Diagnosis of Autism Spectrum Disorder (ASD) by Dynamic Functional Connectivity Using GNN-LSTM by Jun Tang, Jie Chen, Miaojun Hu, Yao Hu, Zixi Zhang, Liuming Xiao

“…Currently, static functional connectivity studies have achieved significant results in the field of ASD detection. However, with the deepening of clinical research, more and more evidence suggests that dynamic functional connectivity analysis can more comprehensively reveal the complex and variable characteristics of brain networks and their underlying mechanisms, thus providing more solid scientific support for computer-aided diagnosis of ASD. …”
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A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud by Zeyu Wang, Xiaofang Chen, Yiwei Wu, Linke Jiang, Shiming Lin, Gang Qiu

“…Our approach consists of three key stages: data preprocessing, model training and integration, and result analysis with feature interpretation. Initially, we examined the dataset’s characteristics and employed embedded and permutation methods to test the performance and runtime of single models under different feature sets, selecting the minimal number of features that could still achieve high performance. …”
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Remote Sensing Archaeology of the Xixia Imperial Tombs: Analyzing Burial Landscapes and Geomantic Layouts by Wei Ji, Li Li, Jia Yang, Yuqi Hao, Lei Luo

“…We performed geomorphological analysis of the surrounding environment and automated identification and mapping of burial mounds and mausoleum features using YOLOv5, complemented by manual interpretation of very-high-resolution (VHR) satellite imagery. …”
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A Novel Framework for Road Information Extraction From Low-Cost MMS Point Clouds by Baris Suleymanoglu, Metin Soycan

“…Comparative analysis revealed that the proposed approach outperformed conventional image-based methods, with an average deviation of 2.9 cm from reference data in lane line detection. …”
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Simplicial complexes in network intrusion profiling: pattern construction through simplicial centralities by Mandala von Westenholz, Martin Atzmueller, Tim Römer

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Rare 48, XXYY Syndrome with Primary Infertility and Behavioural Disorder: A Case Report by Prafulla S. Ambulkar, Shuchi Jain, Jwalant Waghmare, Pratibha Narang

“…We report a case of a 32-year-old infertile male patient with tall stature and atrophied testes. The seminal analysis showed azoospermia. Hormone analysis and ultrasonographic evaluation confirmed the diagnosis as non-obstructive azoospermia. …”
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Evaluating Grayware Characteristics and Risks by Zhongqiang Chen, Zhanyan Liang, Yuan Zhang, Zhongrong Chen

“…Grayware encyclopedias collect known species to provide information for incident analysis, however, the lack of categorization and generalization capability renders them ineffective in the development of defense strategies against clustered strains. …”
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Predicting future morphological changes of lesions from radiotracer uptake in 18F-FDG-PET images. by Ulas Bagci, Jianhua Yao, Kirsten Miller-Jaster, Xinjian Chen, Daniel J Mollura

“…Delineated regions were used to extract shape and textural features, with the proposed adaptive feature extraction framework, as well as standardized uptake values (SUV) of uptake regions, to conduct a broad quantitative analysis. …”
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A weighted bag of visual words model for predicting fetal growth restriction at an early stage by Ani Dong, Yiheng Zhang, Weiling Li, Mengjie Chen

“…The objective of this study is to achieve the early detection of FGR through the utilization of placental ultrasound images.MethodsA retrospective analysis was conducted using 80 placental ultrasound images from 40 FGR fetuses and 40 normal fetuses matched for gestational age. …”
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Year-Round Acoustic Presence of Beaked Whales (Ziphiidae) Far Offshore off Australia’s Northwest Shelf by Evgenii Sidenko, Iain Parnum, Alexander Gavrilov, Robert McCauley, Christine Erbe

“…The detection workflow included: (1) the extraction of impulsive signals from passive acoustic recordings based on an auto-regression model, (2) the calculation of a set of features of extracted signals, and (3) binary signal classification based on these features. …”
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A digital pathology workflow for the segmentation and classification of gastric glands: Study of gastric atrophy and intestinal metaplasia cases. by Panagiotis Barmpoutis, William Waddingham, Jing Yuan, Christopher Ross, Hamzeh Kayhanian, Tania Stathaki, Daniel C Alexander, Marnix Jansen

“…In this paper, we propose a digital pathology end-to-end workflow for gastric gland segmentation and classification for the analysis of gastric tissues. The proposed GAGL-VTNet, initially, extracts both global and local features combining multi-scale feature maps for the segmentation of glands and, subsequently, it adopts a vision transformer that exploits the visual dependences of the segmented glands towards their classification. …”
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Предпринимательская деятельность в условиях риска

“…The risk inseparably linked with enterprise activity, therefore is necessary monitoring of a situation for the purpose of detection of area of the raised risk, an estimation of possible sources, probabilities of approach and an estimation of degree of risk, the analysis of a comprehensible risk level and realization of measures on its minimization. …”
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Structural Damage Identification Based on Rough Sets and Artificial Neural Network by Chengyin Liu, Xiang Wu, Ning Wu, Chunyu Liu

“…This paper investigates potential applications of the rough sets (RS) theory and artificial neural network (ANN) method on structural damage detection. An information entropy based discretization algorithm in RS is applied for dimension reduction of the original damage database obtained from finite element analysis (FEA). …”
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Experimental study on seepage characteristics model of tunnel lining based on infrared imaging by Zhijian Wu, Hua Wu, Yichen Peng, Renjie Song, Yimin Wu, Haiping Wu, Guangzheng Zhuang

“…This research lays a foundational basis for the rapid identification of water seepage areas in infrared detection technology for tunnel water leakage, while also providing theoretical support for promoting the transition from qualitative to quantitative analysis of water seepage areas in current infrared detection practices.…”
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Raider of the lost N-glycans – Localizing rare and frequently overlooked IgG N-glycans with sulfation or bisecting LacNAc by Robert Burock, Léa Chuzel, Thilo Kähne, Udo Reichl, Udo Reichl, Erdmann Rapp, Erdmann Rapp, René Hennig

“…However, low-abundant N-glycans with special features, like sulfation or galactosylated bisecting N-acetylglucosamine (GlcNAc), are rarely accounted for due to their challenging detection. …”
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Effects of inter- and intraindividual compensation-sensitive shot styles on performance in Olympic air rifle shooting by Dino Tartaruga, Ralf Kredel

“… Background: Aiming point analysis systems (APAS) are commonly used in sports shooting but face four main challenges: they do not account for intra-session variations, they overlook inter-individual shooter preferences, they ignore compensation mechanisms of technical features, and they do not respect the real shot location at the target. …”
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DENOISING RESISTIVITY PHOSPHATE “DISTURBANCES” USING HAAR MOTHER WAVELET TRANSFORM (SIDI CHENNANE, MOROCCO) by Bakkali Saad, Amrani Mahacine

“…In geophysics, the power of wavelets for analysis of non stationary processes that contain multiscale features, detection<br />of singularities, analysis of transient phenomena, fractal and multifractal processes, and signal compression is now being exploited for the study of several processes including resistivity surveys. …”
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Neural-Network-Based Synchronization Acquisition with Hankelization Preprocessing by Gyung-Eun Kim, Jung-Hwan Kim, Jong-Ho Lee, Woong-Hee Lee

“…Conventional synchronization signal detection methods rely on linear correlation function analysis with fixed thresholds, which are insufficient for handling the nonlinear characteristics of practical wireless communication systems. …”
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Towards a phonetic history of the voices of Spanish poets by Valentina Colonna, Antonio Pamies Bertrán, Stefano Damato

“…These include variation as a consistent element among authors and within a single author, enabling the detection of main features and sub-groups; common features marking a global grouping; and the possible variety and criticism of clusters, revealing the complexity of this speech and the effectiveness of our model to describe it. …”
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A Holistic Strategy of Modified Superpixel Segmentation and Randomized Adam Hyperparameter Tuning with Deep Learning Approaches for the Classification of Breast Cancer from BreakHi... by Gowri Shankar Manivannan, Karthikeyan Shanmugam, Harikumar Rajaguru, Satish V. Talawar, Rajanna Siddaiah

“…In this study, an integrated breast cancer detection approach using BreakHis images is proposed focusing on balanced accuracy rate analysis to solve imbalanced datasets problem. …”
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