Multi-Link Fragmentation-Aware Deep Reinforcement Learning RSA Algorithm in Elastic Optical Network by Jing Jiang, Yushu Su, Jingchi Cheng, Tao Shang

“…Based on the numbering results, high-frequency links are selected to construct the network state matrix that reflects the resource distribution. …”
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Attitude of patients and doctors of government health care system to the basic principles of medical ethics by E. P. Pukhova, O. Yu. Kutumova, D. O. Trufanov

“…Materials and methods. For the selection of respondents was used the representative sample based on gender and age of respondents (for the selection of patients), and by specialty of a medical workers (for doctors). …”
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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

“…This study selected the Zheng Dan-958 maize variety to predict germination rates using multi-source information fusion and a random forest (RF) algorithm. …”
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A Bio-Inspired QoS-Oriented Handover Model in Heterogeneous Wireless Networks by Daxin Tian, Jianshan Zhou, Honggang Qi, Yingrong Lu, Yunpeng Wang, Jian Wang, Anping He

“…Furthermore, the comparative analysis also shows that the bio-inspired model outperforms the utility function based handover decision scheme in terms of ensuring a better QoS satisfaction and a better fairness of network resources allocation in dynamic heterogeneous wireless networks.…”
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Complexity of immunobiology of tumor necrosis factor and novel anti-TNF therapy by S. А. Nedospasov

“…Systemic anti-cytokine therapy is known to be accompanied by undesirable side effects, which can hypothetically be explained by the neutralization of these protective functions. Thus, we developed prototypes of TNF blockers which limit the bioavailability of this cytokine only from its main “pathogenic” source – myeloid cells. …”
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Vocal constraints on song amplitude in star finches Bathilda ruficauda by Hana Goto, Masayo Soma, Ayumi Mizuno, Henrik Brumm

“…This suggests that the frequency-amplitude correlation is a more general phenomenon in bird vocalisations, independent of the overall source amplitude of a species. While the evolution of birdsong is often viewed as constrained by neural costs and body size, or selective pressures from predators and social aggression, our results emphasise the importance of understanding phonetic features as well. …”
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<i>In silico</i> prediction of the transcription factor-enhancer interaction as a first stage of axonal growth regulation by D. D. Kotelnikov, I. A. Sinyakin, E. A. Borodin, T. A. Batalova

“…The enhancer sequence of DCC and SHH protein genes were taken from the NCBI open-source database in FASTA format. Ensembl database was used for enhancer mapping, GeneCards was used for screening and selection of potentially appropriate enhancers and transcription factors associated with these enhancers. …”
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Determination of Pipe Diameter Using Optimization Method by Pavlov Mikhail Vasilyevich, Vafaeva Khristina Maksudovna, Karpov Denis Fedorovich, Bhatnagar Sanjay, Kommanaboina Uma Shankar, Sharma Dikshit, Singh Digvijay, Sateesh N., Singh Pankaj Kumar

“…During the design phase of engineering networks, a critical issue remains the selection of pipe diameters that minimize capital investments for transporting the heat carrier from the heat source to the consumers. …”
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Numerical modeling of complex radiative heat transfer by N. I. Moskalenko, L. V. Rodionov, M. S. Khamidullina, I. A. Afanasyev

“…The application of numerical simulation of the fine structure of the absorption and emission in the complex problems of radiative heat transfer is consider when the structural characteristics of the environment and the boundary conditions are different strong inhomogeneities in temperature, chemical composition and distribution of the radiation sources. The very nature of radiative heat transfer and temperature variation trends over time are determined by the acute effects of selection of the spectra and their modeling require knowledge of spectral line parameters: intensity, half-width position of the centers, contours. …”
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High-Voltage CVT Fault Diagnosis Based on Effective Data Recognition and Multi-dimensional Information Fusion by Huishan ZHANG

“…In view of the poor identification of the effective data in online monitoring of high-voltage capacitor voltage transformer (CVT), this paper proposes a method for effective data identification based on the analysis of data correlation coefficients, with utilization of the data characteristics that multiple online monitoring data sources exhibit linear correlation. To address the prevalent problem in current high-voltage CVT fault diagnosis, such as limited information sources, poor accuracy, and significant interference in partial discharge devices leading to compromised fault signal detection and accuracy, a fault diagnosis method based on multi-dimensional information fusion is proposed. …”
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Atmospheric Turbulence-Controlled Cryptosystems by Ivan B. Djordjevic

“…We also describe a scheme that randomly selects one of several available paths in which the simultaneously measured irradiance samples, after interleaving, are used to generate the raw key. …”
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Biological impact of mutually exclusive exon switching. by Su Datt Lam, M Madan Babu, Jonathan Lees, Christine A Orengo

“…MXE-specific residues tend to map to single domains, are highly enriched in surface exposed residues and cluster at or near protein functional sites. Thus, MXE events are likely to maintain the protein fold, but alter specificity and selectivity of protein function. …”
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Data forwarding incentive mechanism based on auction model in mobile social network by Hao LIU, Zhi-gang CHEN, Lian-ming ZHANG

“…Abstract:A data forwarding incentive mechanism based on auction model in mobile social network was proposed.In this incentive mechanism,the first-price sealed auction mode was extended,the transaction mode of virtual currency payment was adopted,and the procedure of data forwarding between nodes was abstracted into the auction transaction model.Based on the node's resource state,the virtual currency and the data property,the evaluation function of data forwarding transaction was given,and then the node gives the corresponding price according to the evaluation function and game strategy.Through the game analysis,the Nash equilibrium solution of AMIM was found,and the lowest bidder,of which the bid price was lower than the evaluation of data forwarding request node would been selected as the service provider for this data forwarding.In this incentive mechanism,the rational mobile nodes were enforced to voluntarily participate in data forwarding cooperation to maximize their own interests.The simulation experiment shows that AMIM mechanism can effectively reduce the energy consumption and improve the success rate and efficiency of data forwarding in the whole network system.…”
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High-resolution spatiotemporal measurement of air and environmental noise pollution in Sub-Saharan African cities: Pathways to Equitable Health Cities Study protocol for Accra, Gha... by Michael Brauer, Majid Ezzati, Sierra N Clark, Abosede S Alli, Jill Baumgartner, Mireille B Toledano, Allison F Hughes, James Nimo, Josephine Bedford Moses, Solomon Terkpertey, Jose Vallarino, Samuel Agyei-Mensah, Ernest Agyemang, Ricky Nathvani, Emily Muller, James Bennett, Jiayuan Wang, Andrew Beddows, Frank Kelly, Benjamin Barratt, Sean Beevers, Raphael E Arku

“…Our design uses a combination of fixed (year-long, n=10) and rotating (week-long, n =~130) sites, selected to represent a range of land uses and source influences (eg, background, road traffic, commercial, industrial and residential areas, and various neighbourhood socioeconomic classes). …”
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A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

“…This study investigates the impact of synthetic agrochemicals on human health using advanced machine learning techniques, leveraging multi-level feature selection, hybrid ensemble learning, SHAP, and custom loss function to improve prediction accuracy. …”
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Evaluating ESG Software Solutions for Sustainability Reporting in the Manufacturing Sector by Hąbek Patrycja

“…Thirteen assessment criteria were applied, covering functionality, regulatory compliance, integration capabilities, cost transparency, and scalability. …”
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Specific performance of IDT edge fingers by E. DANICKI, T, GAFKA

“…The theory shows that the edge strips of the system works differently as compared with these positioned inside the system. The familiar δ-function model however, can still be applied provided that the δ-sources of SAW are properly scaled and shifted from their position at the centres of the strips. …”
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Machine learning-based model for acute asthma exacerbation detection using routine blood parameters by Youpeng Chen, Junquan Sun, Yabang Chen, Enzhong Li, Jiancai Lu, Huanhua Tang, Yifei Xie, Jiana Zhang, Lesi Peng, Haojie Wu, Zhangkai J. Cheng, Baoqing Sun

“…Background: Acute asthma exacerbations (AAEs) are a leading cause of asthma-related morbidity and mortality, especially in resource-limited settings where pulmonary function tests are unavailable or when patients are unable to cooperate with testing. …”
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Systemic reviews and meta-analysis of the use of midodrine in hepatorenal syndrome by Prem Balaji Reddy Lankapothu, Shrinidhi B., Satish Kumar M., Magesh Kumar S.

“…Data sources. Articles were sourced from Google Scholar and PubMed using inclusion and exclusion criteria. …”
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The effectiveness of Pilates exercise in people with chronic low back pain: a systematic review. by Cherie Wells, Gregory S Kolt, Paul Marshall, Bridget Hill, Andrea Bialocerkowski

“…<h4>Study selection</h4>Two independent reviewers were involved in the selection of evidence. …”
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