Automated VMAT planning for short-course radiotherapy in locally advanced rectal cancer. by Qiong Zhou, Liwen Qian, Chong Shen, Xinyan Bei, Gaojie Liu, Xiaonan Sun

“…<h4>Purpose</h4>This study aims to develop a fully automated VMAT planning program for short-course radiotherapy (SCRT) in Locally Advanced Rectal Cancer (LARC) and assess its plan quality, feasibility, and efficiency.<h4>Materials and methods</h4>Thirty LARC patients who underwent short-course VMAT treatment were retrospectively selected from our institution for this study. …”
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Research on key technologies of safety monitoring data sharing for railway engineering construction based on blockchain by Yuhong LIU, Liang YANG, Chunhui PIAO, Zhiguo ZHANG

“…In order to solve the problems that the monitoring data was easy to be tampered with in the process of railway engineering construction safety monitoring, and the authenticity of the data might be questioned during the accountability of accidents, a blockchain-based railway engineering construction safety monitoring data sharing model was proposed.The characteristics of automatic execution of smart contracts ensured the transparency of the process of monitoring data on the chain.In the PBFT algorithm, there was a problem that the Byzantine nodes and the normal nodes were selected as the master node with the same probability, a reputation-based practical Byzantine fault tolerance algorithm was proposed.Streaming data on the chain might cause network congestion, which simplified the consensus protocol and reduced the time complexity from O(n²) to O(n).A comparative experiment was conducted using Hyperledger Caliper to prove that the delay of the improved algorithm is lower than PBFT algorithm, and the throughput is higher than PBFT algorithm.A quantitative analysis of the possibility of attack and the probability of successful attack was carried out, and it was determined that the smart contract provides tamper-proof modification for the monitoring data on the chain.Comparative analysis proves that the proposed blockchain-based railway engineering construction safety monitoring data sharing model is good than other models in terms of consensus efficiency, TPS and block generation speed.…”
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Research on key technologies of safety monitoring data sharing for railway engineering construction based on blockchain by Yuhong LIU, Liang YANG, Chunhui PIAO, Zhiguo ZHANG

“…In order to solve the problems that the monitoring data was easy to be tampered with in the process of railway engineering construction safety monitoring, and the authenticity of the data might be questioned during the accountability of accidents, a blockchain-based railway engineering construction safety monitoring data sharing model was proposed.The characteristics of automatic execution of smart contracts ensured the transparency of the process of monitoring data on the chain.In the PBFT algorithm, there was a problem that the Byzantine nodes and the normal nodes were selected as the master node with the same probability, a reputation-based practical Byzantine fault tolerance algorithm was proposed.Streaming data on the chain might cause network congestion, which simplified the consensus protocol and reduced the time complexity from O(n²) to O(n).A comparative experiment was conducted using Hyperledger Caliper to prove that the delay of the improved algorithm is lower than PBFT algorithm, and the throughput is higher than PBFT algorithm.A quantitative analysis of the possibility of attack and the probability of successful attack was carried out, and it was determined that the smart contract provides tamper-proof modification for the monitoring data on the chain.Comparative analysis proves that the proposed blockchain-based railway engineering construction safety monitoring data sharing model is good than other models in terms of consensus efficiency, TPS and block generation speed.…”
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Primary user characterization for cognitive radio wireless networks using long short-term memory by Johana Hernández, Danilo López, Nelson Vera

“…In the decision-making stage, the best available channel is selected for transmitting secondary user data in an opportunistic fashion, and the success of that stage depends on the efficiency of the primary user characterization model. …”
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Advanced fault detection methodologies and communication protocols for DC micro grid -A technical review by Athira Earath Shivadasan, Prabhakar Karthikeyan Shanmugam

“…This critical study provides valuable information for researchers and professionals aiming to refine fault detection and isolation methods and improve the efficiency of DC microgrid systems.…”
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Kolmogorov–Arnold Networks for Reduced-Order Modeling in Unsteady Aerodynamics and Aeroelasticity by Yuchen Zhang, Han Tang, Lianyi Wei, Guannan Zheng, Guowei Yang

“…Kolmogorov–Arnold Networks (KANs) are a recent development in machine learning, offering strong functional representation capabilities, enhanced interpretability, and reduced parameter complexity. Leveraging these advantages, this paper proposes a KAN-based reduced-order model (ROM) for unsteady aerodynamics and aeroelasticity. …”
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Sustainable planning of solar plants: bibliometry and integration of GIS-multicriteria methods by Gustavo Leite Gonçalves, Lucia Maria de Araujo Lima Gaudencio, Rui de Oliveira, Ruth Silveira do Nascimento

“…In summary, the examined methodological model proves effective for selecting locations for solar plant installation and operation sustainably and efficiently. …”
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A comprehensive evaluation of deep vision transformers for road extraction from very-high-resolution satellite data by Jan Bolcek, Mohamed Barakat A. Gibril, Rami Al-Ruzouq, Abdallah Shanableh, Ratiranjan Jena, Nezar Hammouri, Mourtadha Sarhan Sachit, Omid Ghorbanzadeh

“…This study evaluates 11 transformer-based models on three publicly available datasets (DeepGlobe Road Extraction Dataset, SpaceNet-3 Road Network Detection Dataset, and Massachusetts Road Dataset) to assess their performance, efficiency, and complexity in mapping road networks from multicity, multidate, and multisensory VHR optical satellite images. …”
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Conceptual Development of Urban Super-blocks Model in Urban Planning Based on Content Analysis Method by Hafez Mahdnejad

“…Based on the analysis and synthesis of the findings, 101 open codes have been identified regarding the unique characteristics of urban superblocks, which have been classified into 31 core codes. Axial codes in six selected codes are classified including background conditions (superblock and mini-block environment), causal conditions (field of urban action, land use and urban morphology, urban function, urban complexity, biodiversity and urban green, metabolic efficiency , social unity, human-centered street, complete streets, healthy streets and sustainable streets), mediating conditions (good urban governance and mixed use), central category (biological and physiological needs, security needs, belonging needs, respect needs, cognitive needs, aesthetic needs and self-fulfillment needs), strategies (green space redesign, space reassignment and restrictions and active transportation) and consequences (environmental improvement, traffic reduction, air pollution reduction, social cohesion, health promotion, economic). …”
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A Novel Digital Audio Encryption Algorithm Using Three Hyperchaotic Rabinovich System Generators by Ameer K. Jawad, Gholamreza Karimi, Mazdak Radmelkshahi

“…We have tested and proven the efficiency of the proposed algorithm. The encrypted audio signals, achieving a Peak Signal-to-Noise Ratio (PSNR) of around −20 dB, exhibit high distortion, spectral complexity, very low correlation (round to zero), high entropy, and minimal time delay compared to other articles, making them resistant to decryption attempts by attackers. …”
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Table grape of Ukraine – varietal resources, pers­pectives of production and consumption by В. В. Власов, Н. А. Мулюкіна, І. А. Ковальова, Л. В. Герус

“…Tairov” under the breeding program “Resistense plus Quality” are the basis of current and future regional assortments for the south and central areas of the steppe zone of Ukraine. The complexity of the origine explains the genetically determined high-level manifestation of commercially valuable characters. …”
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Pricing for finished products of the enterprise: accounting and analytical aspect by N.L. Pravdyuk

“…Factors and points of influence on the efficiency of the pricing policy are: information support of process of pricing assessment of pricing factors, establish the objectives of price policy, assessment of customer demand, cost analysis, competition analysis, selecting a pricing method that measures the price adjustment, the evaluation price risk. …”
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Benchmarking Big Data Systems: Performance and Decision-Making Implications in Emerging Technologies by Leonidas Theodorakopoulos, Aristeidis Karras, Alexandra Theodoropoulou, Georgios Kampiotis

“…In this study, we benchmark another two widely utilized graph processing systems, Apache Spark GraphX and Apache Fink, concerning the key performance criterion by means of response time, scalability, and computational complexity. We demonstrate our results which show the capability of each system for real-world graph applications, and hence, providing a quantitative understanding to select the system for our purpose. …”
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Minimum-Cost Design of Auto-Scaling Server Farms Providing Reliability Guarantees by Jesus Perez-Valero, Pablo Serrano, Jaime Garcia-Reinoso, Albert Banchs, Xavier Costa-Perez

“…As next-generation mobile networks increasingly rely on virtualized infrastructure to deliver critical services, ensuring both the efficiency and reliability of server farms becomes essential. …”
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Economic diagnosis of operational activities of an industrial enterprise based on business indicators by E. Yu. Belova, A. V. Badina

“…In modern conditions of uncertainty, dynamism, and insufficient predictability, with consideration to complexity and goal-oriented nature of production and economic systems, there arises a necessity for regular monitoring of conditions of their internal and external environments and responding to ongoing changes. …”
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High-throughput analysis of calcium signalling kinetics in astrocytes stimulated with different neurotransmitters. by Laura R James, Simon Andrews, Simon Walker, Paula R S de Sousa, Aaron Ray, Noah A Russell, Tomas C Bellamy

“…The spatiotemporal complexity of Ca(2+) signals is substantial, and we here tested the hypothesis that variation in the kinetics of Ca(2+) responses could offer a means of selectively engaging downstream targets, if agonists exhibited a "signature shape" in evoked Ca(2+) response. …”
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Waste Biomass Pretreatments for Biogas Yield Optimization and for the Extraction of Valuable High-Added-Value Products: Possible Combinations of the Two Processes toward a Biorefin... by Jessica Di Mario, Nicolò Montegiove, Alberto Maria Gambelli, Monica Brienza, Claudia Zadra, Giovanni Gigliotti

“…To address these challenges, various pretreatments are employed to enhance digestion efficiency and mitigate issues associated with biomass complexity. …”
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Deep Learning Approaches for Morphological Classification of Intestinal Organoids by Giovanni Cicceri, Sebastiano Di Bella, Simone Di Franco, Giorgio Stassi, Matilde Todaro, Salvatore Vitabile

“…The use of deep learning (DL) in organoid image analysis becomes crucial to handle complexity, variability, and large amounts of data efficiently and accurately, overcoming the limitations of traditional image processing approaches. …”
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Decreasing viscosity and increasing accessible load by replacing classical diluents with a hydrotrope in liquid–liquid extraction by Asmae El Maangar, Thomas Zemb, Clément Fleury, Jean Duhamet, Jean-François Dufrêche, Stéphane Pellet-Rostaing

“…Based on SAXS and surface tension measurements, the origin of this gain in Gibbs energy of transfer and tunable selectivity in the family of rare earth elements is further identified by three mechanisms: reduction of the term linked to complexation, more than compensated by a synergistic effect of the hydrotrope and the comlexant, and the intra-aggregate entropy of mixing. …”
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A Mobile LiDAR-Based Deep Learning Approach for Real-Time 3D Body Measurement by Yongho Jeong, Taeuk Noh, Yonghak Lee, Seonjae Lee, Kwangil Choi, Sujin Jeong, Sunghwan Kim

“…Although some models showed error rates of 7.8% and 7.4% in hip circumference measurements, this was attributed to the complexity of 3D structures and the challenges in selecting keypoint locations. …”
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