Blockchain-Based Mobile IoT System with Configurable Sensor Modules by Jooho Lee, Jihyun Byun, Sangoh Kim

“…The MSID is designed with a flexible, modular structure that supports a variety of sensor configurations and is easily expandable with 3D-printed components. …”
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Analysis of Reliability Indices in Next Generation Microgrids Under Uncertainties of Load and Renewable Power Production by nima nikmehr, Sajad Najafi Ravadanegh

“…Some new introduced reliability indices in the literature for MGs are used to evaluate the MGs' reliability. In proposed structure, the MGs are in interconnected mode and there is power exchanging between MGs. …”
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A critical review of the state of knowledge on factors responsible for the degradation in soils of polyhydroxyalkanoates by Ludovic Dulac, Mikaël Kedzierski, Stéphane Bruzaud

“…However, their degradation is governed by a complex interplay of intrinsic factors (e.g., chemical structure, crystallinity, molar mass and polydispersity, physical state …) and extrinsic factors (e.g., temperature, humidity, oxygen, microorganisms …), which remain only partially understood. …”
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Control of Replication Stress Response by Cytosolic Fe-S Cluster Assembly (CIA) Machinery by Chiara Frigerio, Michela Galli, Sara Castelli, Aurora Da Prada, Michela Clerici

“…This review summarizes recent advances in understanding the structure and function of the CIA machinery in yeast and mammals, emphasizing the critical role of Fe-S clusters in the replication stress response.…”
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An Improved Design for Solar-Blind AlGaN Avalanche Photodiodes by Qing Cai, Mei Ge, Junjun Xue, Liqun Hu, Dunjun Chen, Hai Lu, Rong Zhang, Youdou Zheng

“…To enhance the impact ionization coefficient of holes, we proposed an improved solar-blind AlGaN avalanche photodiode (APD) structure by using a low-Al-composition AlGaN multiplication layer and a filter based on periodic photonic crystal together with a composition graded interlayer between separate absorption and multiplication regions. …”
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Cultivation of bovine lipid chunks on Aloe vera scaffolds by Gilad Gome, Benyamin Chak, Shadi Tawil, Itai Rotem, Ivana Ribarski-Chorev, Jonathan Giron, Oded Shoseyov, Sharon Schlesinger

“…These scaffolds, derived from agricultural byproducts, feature a porous structure that retains liquids and supports bovine mesenchymal stem cell (bMSC) adhesion, proliferation, and extracellular matrix formation. …”
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Application of Cellulose and Paper-Based Products in Building Acoustics by Aleksandra KLIMEK, Jerzy F. ŁATKA, Paweł NIERADKA, Andrzej DOBRUCKI

“…The maximum acquired sound reduction index, for exceptionally lightweight (2.2 kg/m^2) paper double-wall metamaterial structure, reached 26 dB.…”
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Genuine quantum scars in many-body spin systems by Andrea Pizzi, Long-Hei Kwan, Bertrand Evrard, Ceren B. Dag, Johannes Knolle

“…Our findings, at hand for modern quantum simulators, prove structure in spite of chaos in many-body quantum systems.…”
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A transfer learning based deep neural network adaptive controller for the Furuta pendulum subject to uncertain disturbance signals by Firat Can Yilmaz, Recep Onler, Enver Tatlicioglu, Erkan Zergeroglu

“…The study has a hybrid learning structure that combines offline supervised pretraining of the DNN’s inner layers with an online adaptation law that updates the output-layer weights in real time. …”
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Gossip Consensus Algorithm Based on Time-Varying Influence Factors and Weakly Connected Graph for Opinion Evolution in Social Networks by Lingyun Li, Jie Zhou, Demin Li, Jinde Cao, Xiaolu Zhang

“…What is more, we discuss not only the effect of the time-varying factors and the randomized topological structure but also the spread of misinformation and communication constrains described by probabilistic quantized communication in the social network. …”
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Process and Properties of Nibased 718 Superalloy Formed  by Selective Laser Melting by YU Yandong, LI Jian, HU Haiting

“…In order to study the effect of laser processing parameters of selective laser melting technology (SLM) on the relative density, Vickers hardness and microstructure of Inconel 718, the FORWEDO LM120 laser melting equipment was used to study four laser processing parameters, namely the scanning speed, laser power, laser energy density and scanning strategy to improve the performance of the workpiece The results show that the scanning speed and laser power are the main factors affecting the formability, and the optimized process range: laser power (285~345W), scanning speed (950~1150mm/s) can gain the workpiece of 9894% relative density with fewer defects of voids and cracks The tensile strength and the yield strength of the workpiece are close to those of the traditional forging and annealing processes The heat dissipation characteristic leads to the difference of the histomorphology of the specimen, and in the stratification direction, columnar crystals directionally solidify The Vickers hardness of the sample increases with the refinement and densification of the structure…”
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Airborne Seeker Application in Three Dimensional Formation Flight of UAVs by M. B Menhaj, M. A. Dehghani1, M. Azimi

“…Simulation results verify the effectiveness of the proposed leader-follower formation control structure…”
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Effect of V Content on Microstructure and Properties of Ti-48Ni-3Fe Alloy by ZHU Hong-yu, YANG Hui-min

“…With the increase of V content，the dendrite structure gradually disappeared and the second phase was dispersed. …”
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Defect Detection in Composite Products Based on Sparse Moving Window Principal Component Thermography by Jing Jie, Shiqing Dai, Beiping Hou, Miao Zhang, Le Zhou

“…Also, the sparse trick is used to provide clearer and more interpretable results because of the structure sparsity. The effectiveness of the method is verified by the defect detection experiment of carbon fiber-reinforced plastic specimens.…”
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A Study on the Recurrent Processes of the Goddess and Her Representation: Hera by Cansın Okan, Rifat Eser Kortanoğlu

“…In this article, the traceable interaction process through the mythic and religious indicators of the socio-cultural formof Ancient Greek and as a minor print of this transformation Goddess Hera and eastern versions of her cultural structure had been analyzed.…”
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Asymmetry of Submesoscale Instabilities in Anticyclonic and Cyclonic Eddies by Weian Shi, Hongyang Lin, Qiang Deng, Jianyu Hu

“…The active submesoscales near the cyclone center eventually distort its core structure radically, whereas the anticyclone remains largely unaffected.…”
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Study on Fault Arc Recognition Based on Back-Propagation Neural Network by QIAO Weide

“…Vector, firefly-particle swarm optimization algorithm is used to optimize the initial structure parameters of BP neural network. BP neural network is trained by improving BP algorithm and 630 sets of learning samples. …”
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Plankton biogeography in the 21st century and impacts of climate change: advances through genomics by Frémont, Paul, Gehlen, Marion, Jaillon, Olivier

“…Finally, obtaining assembled sequences of a large number of plankton genomes defining this biogeography has allowed to better characterize the genomic content of the provinces and to identify the species structuring them. These genomes similarly enabled a better description of potential future changes of plankton communities under climate change.…”
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Morbidity of diseases different classes and Prediction on the Territory of the Passage of the Railway in the Republic of Sakha (Yakutia) by O. A. Ushkareva

“…The article presents results of analysis of morbidity the population living in the area of passage of the Amur - Yakutsk railway in the Republic of Yakutia in 2003 - 2013. The structure of morbidity of the population living in the study territories have a similar picture with the Republic of Yakutia. …”
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Advanced predictive analytics for bio-waste management using YOLOv8-SPP to enhance waste prediction and sustainability in smart cities by Selvalakshmi Balasubramanium, Bharathiraja Nagu, Shonak Bansal, Mohammad Rashed Iqbal Faruque, Kholoud Saad Al-mugren

“…This research suggests a new predictive analytics model using the YOLOv8-SPP algorithm for improved waste management. With precise structuring and data processing, YOLOv8-SPP enhances waste identification and segmentation of various wastes with the vision of facilitating proper anticipation of future trends in waste production. …”
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