Three Days of ActiGraph^® Use Are Sufficient to Determine the Time Spent in Sedentary Behavior, and in Moderate and Moderate-to-Vigorous Physical Activity, in People with... by Lucas Melo Neves, Fabricio Eduardo Rossi, Caico Bruno Curcio Oliva de Paula, Vitória Joana Paes Arida, Isabella Cavaco Gonçalves Pereira, Priscila Almeida Queiroz Rossi, Jane de Eston Armond, Jeffer Eidi Sasaki, Felipe Barreto Schuch, Brendon Stubbs, Beny Lafer

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A novel approach for detecting malicious hosts based on RE-GCN in intranet by Haochen Xu, Xiaoyu Geng, Junrong Liu, Zhigang Lu, Bo Jiang, Yuling Liu

“…The system extracts the Host Communication Graph by time slicing and uses a random undersampling method to balance samples. …”
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Simultaneous analysis of creatinine and uric acid in human urine samples using mean centering, ratio subtraction, and derivative spectrophotometric techniques as a green analytical... by Dashty K. Ali, Hemn A. Qader, Nabil A. Fakhre

“…Four rapid, accurate, and straightforward derivative spectrophotometric methods were developed to quantify a binary mixture of creatinine (CRT) and uric acid (UA) in human urine samples. The first technique was based on a zero-crossing technique for first-derivative spectrophotometry. …”
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AI-integrated IQPD framework of quality prediction and diagnostics in small-sample multi-unit pharmaceutical manufacturing: Advancing from experience-driven to data-driven manufact... by Kaiyi Wang, Xinhai Chen, Nan Li, Huimin Feng, Xiaoyi Liu, Yifei Wang, Yanfei Wu, Yufeng Guo, Shuoshuo Xu, Lu Yao, Zhaohua Zhang, Jun Jia, Zhishu Tang, Zhisheng Wu

“…In this framework, a novel path-enhanced double ensemble quality prediction model (PeDGAT) is proposed, which combines a graph attention network and path information to encode inter-unit long-range and sequential dependencies. …”
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Speaker verification method based on cross-domain attentive feature fusion by Zhen YANG, Tianlang WANG, Haiyan GUO, Tingting WANG

“…Aiming at the problem that the lack of structure information among speech signal sample in the front-end acoustic features of speaker verification system, a speaker verification method based on cross-domain attentive feature fusion was proposed.Firstly, a feature extraction method based on the graph signal processing (GSP) was proposed to extract the structural information of speech signals, each sample point in a speech signal frame was regarded as a graph node to construct the speech graph signal and the graph frequency information of the speech signal was extracted through the graph Fourier transform and filter banks.Then, an attentive feature fusion network with the residual neural network and the squeeze-and- excitation block was proposed to fuse the features in the traditional time-frequency domain and those in the graph frequency domain to promote the speaker verification system performance.Finally, the experiment was carried out on the VoxCeleb, SITW, and CN-Celeb datasets.The experimental results show that the proposed method performs better than the baseline ECAPA-TDNN model in terms of equal error rate (EER) and minimum detection cost function (min-DCF).…”
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Speaker verification method based on cross-domain attentive feature fusion by Zhen YANG, Tianlang WANG, Haiyan GUO, Tingting WANG

“…Aiming at the problem that the lack of structure information among speech signal sample in the front-end acoustic features of speaker verification system, a speaker verification method based on cross-domain attentive feature fusion was proposed.Firstly, a feature extraction method based on the graph signal processing (GSP) was proposed to extract the structural information of speech signals, each sample point in a speech signal frame was regarded as a graph node to construct the speech graph signal and the graph frequency information of the speech signal was extracted through the graph Fourier transform and filter banks.Then, an attentive feature fusion network with the residual neural network and the squeeze-and- excitation block was proposed to fuse the features in the traditional time-frequency domain and those in the graph frequency domain to promote the speaker verification system performance.Finally, the experiment was carried out on the VoxCeleb, SITW, and CN-Celeb datasets.The experimental results show that the proposed method performs better than the baseline ECAPA-TDNN model in terms of equal error rate (EER) and minimum detection cost function (min-DCF).…”
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STTMC: A Few-Shot Spatial Temporal Transductive Modulation Classifier by Yunhao Shi, Hua Xu, Zisen Qi, Yue Zhang, Dan Wang, Lei Jiang

“…The identification of modulation types under small sample conditions has become an increasingly urgent problem. …”
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Recursive GNNs for Learning Precoding Policies With Size-Generalizability by Jia Guo, Chenyang Yang

“…Graph neural networks (GNNs) have been shown promising in optimizing power allocation and link scheduling with good size generalizability and low training complexity. …”
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Fast Global and Local Semi-Supervised Learning via Matrix Factorization by Yuanhua Du, Wenjun Luo, Zezhong Wu, Nan Zhou

“…However, graph-based methods are only suitable for handling small amounts of data. …”
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THE SOLUTION OF THE APPROXIMATION PROBLEM OF NONLINEAR DEPENDANCES USING ARTIFICIAL NEURAL NETWORKS by V. N. Ageyev

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Agreement Between TDK Silmee W22 and ActiGraph wGT3X-BT for Estimating Daily Step Counts and Moderate to Vigorous Physical Activity in Free-Living Adults: Comparative Study by Hiroko Shimura, Shinpei Okada, Kazushi Maruo, Kaori Daimaru, Naoki Deguchi, Yoshinori Fujiwara, Hiroyuki Sasai

“…MethodsA convenience sample of young to older adults was recruited from communities across several prefectures in Japan. …”
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Biodegradation Resistance of Wood-filled Caustic Magnesite Composites by Vladimir Erofeev, Vasily Smirnov, Rinat Badamshin, Victor Afonin, Elena Uskova, Irina Stepina, Yana Sanyagina

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Time-lapse confocal imaging helps to reveal a secret behind gynoecium development by Wiktoria Wodniok

“…Analysis of vast quantitative data was facilitated by MorphoGraphX.…”
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Cultural Adequacy and Visual Privacy in Public Housing Design: Between Integration and Isolation الكفاية الثقافية والخصوصية البصرية في تصميم وحدات الإسكان الحكومي : بين التكامل وال... by Rania Nasreldin

“…Four housing projects were then selected as a sample based on chosen criteria. Finally, architectural plans were analyzed using a justified plan graph as a tool to apply space syntax analyses to determine the extent of visual privacy achieved and to compare the different models. …”
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Understanding the Emergence of Comorbidity between Problematic Online Gaming and Gambling: A Network Analysis Approach by Marta Błoch, Błażej Misiak

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Leak detection and localization in water distribution systems via multilayer networks by Daniel Barros, Ariele Zanfei, Andrea Menapace, Gustavo Meirelles, Manuel Herrera, Bruno Brentan

“…The localization process uses a multi-graph approach that combines sensor data and network topology to determine the sensor coverage area. …”
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An Environmentally Friendly Compact Microfluidic Hydrodynamic Sequential Injection System Using Curcuma putii Maknoi & Jenjitt. Extract as a Natural Reagent for Colorimetric Determ... by Maneerat Namjan, Natcha Kaewwonglom, Chonlada Dechakiatkrai Theerakarunwong, Jaroon Jakmunee, Wanpen Khongpet

“…The results demonstrated a good performance of the green analytical systems. A linear calibration graph in the range of 0.5–6.0 mg L−1 was obtained with a limit of detection at an adequate level of 0.11 mg L−1 for water samples with a sample throughput of 30 h−1. …”
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Causal structure learning in directed, possibly cyclic, graphical models by Semnani Pardis, Robeva Elina

“…We consider the problem of learning a directed graph G⋆{G}^{\star } from observational data. We assume that the distribution that gives rise to the samples is Markov and faithful to the graph G⋆{G}^{\star } and that there are no unobserved variables. …”
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BenchMake: turn any scientific data set into a reproducible benchmark by A S Barnard

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PVLF: point-voxel local feature fusion for 3D detection by Haowei Zhao, Zhuolei Xiao

“…We also introduce a sector segmentation based sampling strategy and achieves parallel sampling of key points through our designed Adjacency Distance Update Farthest Point Sampling (ADUFPS) algorithm, significantly reducing computational overhead while improve sampling efficiency. …”
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