Regulation of senescence-associated secretory phenotypes in osteoarthritis by cytosolic UDP-GlcNAc retention and O-GlcNAcylation by Donghyun Kang, Jeeyeon Lee, Geunho Yook, Sehan Jeong, Jungkwon Shin, Mi-Sung Kim, Yi-Jun Kim, Hyeryeon Jung, Jinsung Ahn, Tae Woo Kim, Moon Jong Chang, Chong Bum Chang, Seung-Baik Kang, Won Ho Yang, Yong-ho Lee, Jin Won Cho, Eugene C. Yi, Chanhee Kang, Jin-Hong Kim

“…Mechanistically, upregulated O-GlcNAcylation governs the senescence-associated secretory phenotype (SASP) by stabilizing GATA4 via O-GlcNAcylation at S406, which compromises its degradation by p62-mediated selective autophagy. Elevated O-GlcNAcylation in the superficial layer of osteoarthritic cartilage coincides with increased GATA4 levels. …”
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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…Several ConvMixer layers are also integrated into the end of the backbone network and the detection head. …”
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Graph signal processing based pilot pattern design and channel estimation for OFDM system by Bin HE, Guobing LI, Yuan CHEN, Guomei ZHANG

“…Orthogonal frequency division multiplexing (OFDM) is one of the key technologies in the physical layer of the internet of things (IoT).Pilot design and channel estimation are key issues in OFDM systems.In view of the problem of performance loss by fixed pilot pattern due to the complexity and variety of IoT communication scenarios, a pilot design and channel estimation scheme based on graph signal processing (GSP) was proposed.Firstly, the time-frequency resource block was modeled as a graph signal, and the channel estimation problem was reformulated into a sampling and reconstruction problem of the graph signal.Then, considering the influence of time-frequency fading, a weighted graph adjacency matrix was designed to construct a graph topology structure based on the time-frequency position.On this basis, the pilot position is selected based on the graph signal sampling theory, a greedy pilot pattern design algorithm based on weighted graph topology was proposed.At the same time, signal reconstruction was performed based on the graph signal reconstruction method, and a channel estimation method based on the graph smoothness constraint was proposed.Compared with the conventional scheme, simulation results show that the proposed method achieves higher channel estimation accuracy in high-speed scenarios of double selective channels, and effectively reduces pilot overhead in low-speed scenarios.…”
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Designing a Composite Hydraulic Cylinder Using Genetic Algorithms by Michał Stosiak, Marek Lubecki, Mykola Karpenko

“…A block diagram of the algorithm for optimising the structure selection process is presented, and the designed structure is verified.…”
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A sleep staging model based on adversarial domain generalized residual attention network by Pengwei Zhang, Sijia Xiang, Kailei Hu, Jialing He, Jingxia Chen

“…In the feature extractor part, the channel attention network is combined with the residual block to selectively enhance the important features and the correlation between multi-channel physiological signals. …”
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A COGNITIVE APPROACH FORMING THE BASIS OF SYSTEM AND FINANCIAL ANALYSIS OF COMPLEX RESEARCH OBJECTS by A. N. Vetrov

“…It is based on the generated system of analytical coefficients, each representing a complex of parameters (indicators), echeloned for a series of portraits and stratified into several independent sets, arranged on two different levels of the selected hierarchy (structure).Conclusion. The genesis of the cognitive approach is due to the possibility of vertical, horizontal and trend-based financial analysis based on the system of analytical coefficients of primary registers of accounting and financial analysis through an independently developed block of parametric cognitive models. …”
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Ability of fabric face mask materials to filter ultrafine particles at coughing velocity by James Ward, P John Clarkson, Eugenia O'Kelly, Sophia Pirog

“…Further assessment was made on the filtration ability of selected fabrics while damp and of fabric combinations which might be used to construct home-made masks.Results Single fabric layers blocked a range of ultrafine particles. …”
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Nanocellulose-Incorporated Composite Membranes of PEO-Based Rubbery Polymers for Carbon Dioxide Capture by Somaye Nilouyal, H. Enis Karahan, Ali Pournaghshband Isfahani, Detao Qin, Masateru M. Ito, Easan Sivaniah, Behnam Ghalei

“…This unique feature enables the development of thin-film composites (TFCs) with a selective layer around 1 μm. Notably, even at a filling ratio as low as 1 weight percent, the resulting membranes exhibit remarkable CO2 permeability (>90 Barrer) and CO2/N2 selectivity (>70). …”
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Multi-timescale scheme for cooperative user association and hybrid beamforming in mmWave MIMO systems by Mohammadreza Heydarian, Didier Colle, Mario Pickavet, Wouter Tavernier

“…Our findings indicate that queue length-based allocation strategies yield the lowest delay under different downlink traffics and UE/BS deployment densities. Moreover, selectively serving a subset of UEs during each channel block, rather than serving them all simultaneously, enhances network delay and throughput. …”
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AMD-FV: Adaptive margin loss and dual path network+ for deep face verification. by Zeeshan Ahmed Khan, Waqar Ahmed, Panos Liatsis

“…Next, DPN+ enhances the original Dual Path Network by redesigning the first block with a series of 3x3 convolutions, batch normalization, and ReLU activations, leveraging shared connections across layers, leading to increases in spatial resolution and computational cost efficiency, while maximizing the use of discriminative features. …”
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MixtureRS: A Mixture of Expert Network Based Remote Sensing Land Classification by Yimei Liu, Changyuan Wu, Minglei Guan, Jingzhe Wang

“…To enhance model capacity without incurring significant computational overhead, we replace conventional dense feed-forward blocks with a sparse Mixture-of-Experts (MoE) layer that selectively activates the most relevant experts for each token. …”
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Internet of Things: a comprehensive overview, architectures, applications, simulation tools, challenges and future directions by Anita Choudhary

“…Further, the functional blocks and working of IoT is discussed, so the researchers take interest in its implementation. …”
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Epitaxial lateral overgrowth of m-plane α-Ga2O3 by halide vapor phase epitaxy by Yuichi Oshima, Takashi Shinohe

“…Transmission electron microscopy revealed that the dislocation density in the laterally grown area decreased drastically because the propagation of dislocations in the seed layer was effectively blocked by the mask. We believe these results greatly contribute to the realization of m-plane α-Ga2O3-based future power devices.…”
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Secure and Lightweight Cipher for Resource-constrained IoT Healthcare Applications using Snake Key Generation by Saja Kareem Ismael, Mohamed Ibrahim Shujaa, Ahmed Bahaaulddin A. Alwahhab

“…Furthermore, this study examines the double-layer encryption architecture used to secure data in at rest and during transmission from a sensor’s gathering location to long-term storage. …”
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Analysis of Tribological Properties of Expanded Graphite—Alloy Steel Pair Under High Loads in Dry and Humid Conditions by Aleksandra Rewolińska, Kamil Leksycki, Łukasz Wojciechowski, Karolina Perz

“…The aim of this study is to evaluate the tribological properties of an expanded graphite–alloy steel combination operating under selected loads in both dry and humid conditions. The tests were carried out on a block-on-ring tribological tester (where the blocks were made of expanded graphite and the rings were made of AISI 4130 steel) at a rotational speed of 150 rpm, with loads of 200 and 650 N. …”
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FGS-YOLOv8s-seg: A Lightweight and Efficient Instance Segmentation Model for Detecting Tomato Maturity Levels in Greenhouse Environments by Dongfang Song, Ping Liu, Yanjun Zhu, Tianyuan Li, Kun Zhang

“…The model incorporates a novel SegNext_Attention mechanism at the end of the backbone, while simultaneously replacing Bottleneck structures in the neck layer with FasterNet blocks and integrating Gaussian Context Transformer modules to form a lightweight C2f_FasterNet_GCT structure. …”
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Geological Stratification Technology Based on Artificial Intelligence Algorithms and Its Application Effects by GAO Yuan, YAO Weihua, CAI Shaofeng, LI Liang, XUE Yuan, ZHAO Peipei, WANG Xiaoyang, WEI Wei

“…Taking the block A and B in XX oilfield as research demonstration areas, formation division samples are established and geological stratification models are established to realize the division of the entire well section of the second level strata and fine division of the third level small layers. …”
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Characterization of “sweet spots” and optimization of volume fracturing parameters in deep tight reservoirs of Subei Basin by TANG Jiandong, ZHANG Shunkang, LIN Shiwei, GE Zhengjun, LIN Bo

“…In line with the strategy of “finding oil layers beneath oil layers”, exploration and development in the Jiangsu Oilfield have progressively extended into deeper formations. …”
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InBRwSANet: Self-attention based parallel inverted residual bottleneck architecture for human action recognition in smart cities. by Yasir Khan Jadoon, Muhammad Attique Khan, Yasir Noman Khalid, Jamel Baili, Nebojsa Bacanin, MinKyung Hong, Yunyoung Nam

“…These blocks aim to learn complex human actions in many convolutional layers. …”
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Landslides and sinkholes of the karst environment in the vicinity of the Ufa river by N. A. Orlova

“…As long as the vertical pressure in soils and layer bearing capacity remain stable, no deformation of the massif above the cavity is observed. …”
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