Sexual dysfunction in anxiety disorders by M. I. Yagubov, I. Yu. Kan, N. V. Dobaeva, I. R. Ayriyants

“…Only a small proportion of patients report having problems in the intimate sphere when seeking psychiatric help. However, untimely detection of sexual dysfunctions can reduce adherence and effectiveness of therapy.Materials and methods. …”
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A Fast Image Segmentation Algorithm Based on Saliency Map and Neutrosophic Set Theory by Sensen Song, Zhenhong Jia, Jie Yang, Nikola K. Kasabov

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Reconstruction of the object inhomogeneity parameters from near-field measurements in microwave tomography problem using neural networks by A.V. Medvedev, M.Yu. Medvedik

“…The problem posed is reduced to the Lippmann-Schwinger integral equation. …”

APT attack threat-hunting network model based on hypergraph Transformer by Yuancheng LI, Yukun LIN

“…To solve the problem that advanced persistent threat (APT) in the Internet of things (IoT) environment had the characteristics of strong concealment, long duration, and fast update iterations, it was difficult for traditional passive detection models to quickly search, a hypergraph Transformer threat-hunting network (HTTN) was proposed.The HTTN model had the function of quickly locating and discovering APT attack traces in IoT systems with long time spans and complicated information concealment.The input cyber threat intelligence (CTI) log graph and IoT system kernel audit log graph were encoded into hypergraphs by the model, and the global information and node features of the log graph were calculated through the hypergraph neural network (HGNN) layer, and then they were extracted for hyperedge position features by the Transformer encoder, and finally the similarity score was calculated by the hyperedge, thus the threat-hunting of APT was realized in the network environment of the Internet of things system.It is shown by the experimental results in the simulation environment of the Internet of things that the mean square error is reduced by about 20% compared to mainstream graph matching neural networks, the Spearman level correlation coefficient is improved by about 0.8%, and improved precision@10 is improved by about 1.2% by the proposed HTTN model.…”
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Acupuncture ameliorates inflammation by regulating gut microbiota in acute ischemic stroke by Haoyue Yan, Yini Hua, Jinxia Ni, Xiaona Wu, Jingni Xu, Ziniu Zhang, Juwei Dong, Zhihao Xiong, Lei Yang, Hongwei Yuan

“…Results: Acupuncture improved the degree of impaired neurological function in MCAO rats and regulated the type and abundance of intestinal bacteria, increased SCFAs of MCAO rats, decreased HDAC1 and HDAC2, modulated the Th17/Treg imbalance, reduced the level of inflammatory factors in the peripheral blood and altered the pathology of the intestine and brain. …”
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Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory by Zilong Zhao, Luliang Tang, Chang Ren, Xue Yang, Zihan Kan, Qingquan Li

“…Most existing methods perform anomaly detection from a data-driven perspective and ignore the unique spatiotemporal characteristics of traffic anomalies, resulting in reduced accuracy or incorrect extraction of anomalies. …”
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Improving phenological event identification in trees using manually measured dendrometer data: conventional approaches vs. the novel two-stage threshold approach by Przemysław A. Jankowski, Przemysław A. Jankowski, Rafael Calama, Jorge Aldea, Matías García, Guillermo Madrigal, Marta Pardos

“…In this study, we compared commonly used detection methods, including the Gompertz and Richards parametric functions, a generalized additive model (GAM), and the zero-growth (ZG) concept, with a novel approach: the two-stage threshold approach (2STA). …”
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Numerical simulation for spray spatial distribution of swirl nozzle and its target dustfall area prediction by Cuicui Xu, Xinyu Jia, Jingjing Jing, Junpeng Wang, Qingyi Mi, Gang Zhou, Lirong Wu

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Overexpression of miR-671-3p alleviates postmenopausal osteoporosis by targeting GREM2 to activate BMP2/SMAD signaling pathway by Yanlin Liang, Changqing Gu, Peng Wang, Changwen Gu, Hongwei Ma, Shujun Ren

“…Results miR-671-3p expression was reduced in PMOP patients and in MG-exposed MC3T3-E1 cells. miR-671-3p exhibited strong predictive power for early detection of PMOP. …”
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Light WIMP Searches Involving Electron Scattering by J. D. Vergados, Ch. C. Moustakidis, Yeuk-Kwan E. Cheung, H. Ejiri, Yeongduk Kim, Jeong-Yeon Lee

“…As a result, many electrons can be ejected with energy which increases linearly with the WIMP mass, but the cross section is somewhat reduced depending on the bound state wave function employed. …”
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Prevalence and factors linked to renal involvement in prediabetes patients across Europe in the ePREDICE trial by Sebastián Mas-Fontao, Esther Civantos, Nisa Boukichou, Juan A. Moreno, Jaakko Tuomilehto, Rafael Gabriel, Jesús Egido

“…Abstract This sub-analysis of the ePREDICE trial, investigated the prevalence and determinants of renal complications, specifically glomerular hyperfiltration, albuminuria, and reduced kidney function, in individuals with prediabetes (PD). …”
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Maternal transmission of a humanised Igf2r allele results in an Igf2 dependent hypomorphic and non-viable growth phenotype. by Jennifer Hughes, Susana Frago, Claudia Bühnemann, Emma J Carter, A Bassim Hassan

“…Here we show that the knock-in construct resulted in over-growth when the humanised Igf2r allele was maternally transmitted, a phenotype that was rescued by either paternal transmission of the humanised allele, expression of a wild-type paternal allele or loss of function of Igf2. We also show that expression of IGF2R protein was reduced to less than 50% overall in tissues previously known to be Igf2 growth dependent. …”
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Research on lightweight weed recognition algorithm based on improved YOLOv8 by Zhang Chao, Liu Bin, Li Kun

“…Different scale features are used to improve the performance of target detection. Finally, the MPDIoU loss function is replaced to enhance the convergence and stability of the model. …”
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Classification of CT scan and X-ray dataset based on deep learning and particle swarm optimization. by Honghua Liu, Mingwei Zhao, Chang She, Han Peng, Mailan Liu, Bo Li

“…This paper proposes a low false positive rate disease detection method based on COVID-19 lung images and establishes a two-stage optimization model. …”
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Time-triggered stream scheduling method combining no-wait and time-slot mapping reuse by HE Qian, GUO Yanan, ZHAO Baokang, PAN Qi, WANG Yong

“…The base period was used as the scheduling cycle time, by adopting no-wait scheduling for real-time streams and time-slot mapping reuse for cyclic streams, the length of gate control list was reduced. Then, a conflict detection method that utilized the midpoint of the data frame transmission interval significantly reduced the time complexity associated with slot conflict detection. …”
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An autoencoder learning method for predicting breast cancer subtypes. by Zahra Rostami, Kavitha Mukund, Maryam Masnadi-Shirazi, Shankar Subramaniam

“…The reduced feature space created by our model captures the functional characteristics of each breast cancer subtype highlighting mechanisms that are unique to each subtype as well as those that are shared. …”
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XPolypNet: A U-Net-Based Model for Semantic Segmentation of Gastrointestinal Polyps With Explainable AI by Arjun Kumar Bose Arnob, Muhammad Mostafa Monowar, Md. Abdul Hamid, M. F. Mridha

“…Automated segmentation of gastrointestinal polyps is a critical step in the early detection and prevention of colorectal cancer (CRC), which is one of the most common causes of cancer-related deaths worldwide. …”
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Enhanced U-Net for Underwater Laser Range-Gated Image Restoration: Boosting Underwater Target Recognition by Peng Liu, Shuaibao Chen, Wei He, Jue Wang, Liangpei Chen, Yuguang Tan, Dong Luo, Wei Chen, Guohua Jiao

“…However, conventional underwater imaging methods often suffer from severe backscattering noise, limited detection range, and reduced image clarity—challenges that are exacerbated in turbid waters. …”
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CO43 | Early platelet dysfunction in sepsis: an ICU pilot study

“…Interestingly, a significant association between ADP-induced platelet aggregation and SOFA score was found (Figure 1C), In addition to the above functional defects, circulating soluble platelet activation markers (CD40L and P-selectin) and platelet-leukocytes aggregates were reduced, suggesting a global impairment in platelet activation pathways. …”
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Dual-Task Gait Analysis: Combined Cognitive–Motor Demands Most Severely Impact Walking Patterns and Joint Kinematics by Nenad Nedović, Slavica Mutavdžin Krneta, Stevan Jovanović, Danilo Vujičić, Žiga Kozinc, Dmitry Skvortsov

“…The observed kinematic and spatiotemporal changes highlight the profound interdependence between cognitive function and automatic locomotor control during walking. …”
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