An Update of Medical Nutrition Therapy in Gestational Diabetes Mellitus by Flavia Cristina Vasile, Agnesa Preda, Adela Gabriela Ștefan, Mihaela Ionela Vladu, Mircea-Cătălin Forțofoiu, Diana Clenciu, Ioan Ovidiu Gheorghe, Maria Forțofoiu, Maria Moța

“…Different health organizations proposed different algorithms for the screening, diagnosis, and management of GDM. …”
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A Collaborative Self-Governing Privacy-Preserving Wireless Sensor Network Architecture Based on Location Optimization for Dynamic Service Discovery in MANET Environment by Cong Gao, Jianfeng Ma, Shangwei Zhang

“…Two location optimization algorithms are developed for topology control and the preservation of user location privacy. …”
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Social relationship for physical objects by Dawei Wei, Huansheng Ning, Yuke Qian, Tao Zhu

“…To apply the algorithms in Internet of Things for physical world objects, the relationship between physical objects is becoming more and more complicated. …”
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Lightweight authentication protocol for RFID by Bing CHEN, Jia-qi ZHENG

“…The traditional tag authentication protocols taking complicated algorithms into account can't meet the demand. In view of the existing secu-rity and privacy problems of RFID , a lightweight authentication protocol for RFID named LAP was proposed. …”
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Study of wireless experiment platform in 60 GHz by Yuannian QIN, Chuan ZOU, Zhaoyu TENG

“…A scheme of 60 GHz wireless experimental platform was presented.The platform was made up of NI USRP（transceiver module），NetFPGA（data processing module）and PC（control module）.NI USRP was connected with NetFPGA by Gigabit Nthernet interfaces，while NetFPGA was connected with PC by PCI-bus.This experiment platform works on Linux with the help of LabVIEW.The transceiver and data process module are reprogrammable.Many operations such as data stream capturing，classification and speed limit could be done with Linux and PCI.The platform has good performances in open-ended and expansibility.That would be convenient for farther research in channel modeling，timeslot allocation and multiple access algorithms.…”
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English Characteristic Semantic Block Processing Based on English-Chinese Machine Translation by Yuxiu Yu

“…And with the help of the corresponding processing algorithms, taking verbs and business English as the research object, three kinds of semantic models were summarized. …”
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Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift by Qi Wang, Rui Sun, Xiangde Zhang, Yanrui Sun, Xiaojun Lu

“…Bluetooth positioning is an important and challenging topic in indoor positioning. Although a lot of algorithms have been proposed for this problem, it is still not solved perfectly because of the instable signal strengths of Bluetooth. …”
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Automating the amino acid identification in elliptical dichroism spectrometer with Machine Learning. by Ridhanya Sree Balamurugan, Yusuf Asad, Tommy Gao, Dharmakeerthi Nawarathna, Umamaheswara Rao Tida, Dali Sun

“…Advanced data preprocessing techniques and ML algorithms to learn patterns from the absorption profiles that distinguish different amino acids were investigated to prove the feasibility of this approach. …”
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Resource allocation for the semantic communication in the intelligent networked environment by Jiujiu CHEN, Caili GUO, Chunyan FENG, Chuanhong LIU

“…Traditional resource allocation methods are difficult to meet the needs of various services to accurately understand the semantics of a large amount of multimedia data in the intelligent networked environment.Facing with this challenge, taking intelligent task-oriented internet of vehicles scenarios as an example, two resource allocation optimization criteria for the semantic communication were firstly proposed.Then, according to different dimensions of resources, the models and algorithms of the resource allocation for the semantic communication were described.Then, a semantic communication-oriented image dataset was constructed, and the performance advantages of the proposed resource allocation methods in the simulation scenario of the internet of vehicles were analyzed.Finally, the future challenges of the resource allocation for the semantic communication were presented.…”
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Light Manipulation by Single Cells: The Case of Diatoms by Edoardo De Tommasi

“…The present paper reviews the most relevant studies on optical and photonic properties of diatoms that have been performed throughout the last years making use of SEM characterizations, transmittance measurements at different wavelengths, holographic microscopy, Raman spectroscopy and imaging, photoluminescence spectroscopy, and the predictive support of different numerical simulation algorithms.…”
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À la recherche des réseaux intertextuels : défis de la recherche littéraire à grande échelle by Valentina Fedchenko, Dario Maria Nicolosi, Glenn Roe

“…Drawing on a large curated corpus of French texts of the Early Modern period, the authors describe in detail the various steps for building intertextual networks using the output of text reuse algorithms. From corpus and metadata cleaning to training a neural network for filtering ‘noisy’ passages, this article provides a pragmatic technical pipeline for similar projects working with massive collections of digitised text, highlighting both the promise and perils of conducting literary research at scale.…”
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Que fait l’Intelligence Artificielle à l’intelligence ? by Eugène Favier-Baron

“…This process is as much about the materiality of intelligent algorithms as a technical medium, as it is about their mediality as a « Être culturel » that gains, for the designers as well as the users of AI, a certain semiological autonomy. …”
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Research on manufacturing energy consumption optimization platform technology based on knowledge-base by Weiwei YANG, Sining WANG, Guide ZHENG, Yaqiong SONG

“…China’s manufacturing industry accounts for the largest proportion of the economy and involves a huge scale.It is of practical significance for enterprises to gradually realize energy consumption optimization through digital technology.Taking automobile manufacturing as an example, a scheme of energy consumption optimization based on knowledge-base was proposed, including the analysis of the characteristics of energy consumption in manufacturing industry, the key technologies of energy consumption optimization and the presentation of application practice.Starting with the production equipment of the enterprise, the law affecting energy consumption was found and a knowledge-base was build through the information of manufacturing execution system and equipment operation status of the enterprise, and the optimization of energy consumption was realized through machine learning algorithms such as neural network and correlation analysis.…”
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D-Optimal Design for a Causal Structure for Completely Randomized and Random Blocked Experiments by Zaher Kmail, Kent Eskridge

“…In this research, search algorithms are used to produce a D-optimal design for a SEM for three-stage least squares and full information maximum likelihood estimators. …”
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Parallel route distributing model in reconfigurable cluster router by Wen-long CHEN, Ming-wei XU, Ke XU

“…Long distribution delay and load unbalance of router cards were the key problems of traditional route distribution techniques.Especially,in reconfigurable cluster routers,the number of linecards significantly increased,which made the problem highlighted.To address this issue,the TPRD(tree-based parallel route distribution)model was proposed after systematically analyzing existing route distribution methods and the cluster router architecture.In TPRD,all cards of cluster router were constructed to an unbalanced distribution tree and routes were transferred form the root node to leaf nodes.The algorithms and deployment approaches for implementation of TPRD were presented.The NS2 simulation results demonstrated TPRD achieved an expected performance.…”
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TOPOLOGY OF ENTREPRENEURIAL UNIVERSITY: DYNAMIC DESCRIPTIVE MODEL by R. A. Zayakina

“…Certain procedures of real network design are used to build the algorithms of operations with descriptors characterizing the transformations which take place both inside the universities being an innovative ecosystem and systems with their participation. …”
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APPLICATIONS OF MONTE CARLO SIMULATION TO STRUCTURAL ENGINEERING PROBLEMS by Abdullah Azbah

“…The performance of the Monte Carlo simulation along with other metaheuristic algorithms is compared numerically in the example problems. …”
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A machine learning approach for predicting treatment response of hyponatremia by Tamaki Kinoshita, Shintaro Oyama, Daisuke Hagiwara, Yoshinori Azuma, Hiroshi Arima

“…The predicted s-Na levels, using explainable machine learning algorithms and clinically accessible parameters, correlated well with the actual levels. …”
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FedDrip: Federated Learning With Diffusion-Generated Synthetic Image by Karin Huangsuwan, Timothy Liu, Simon See, Aik Beng Ng, Peerapon Vateekul

“…Moreover, we demonstrate that this virtual-client strategy can be integrated into any federated learning framework, including foundational algorithms such as FedAvg and advanced algorithms such as FedDyn and FedProx. …”
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Multi-criteria decision-making method for emergency shelter site selection considering flood risk: A case study of Zhuhai, China by Bo Liu, Yingbing Li, Yan Zhang, Zhichao Wu, Yansong Pan, Meiquan Li

“…However, the existing site selection schemes are not comprehensive enough in the selection of influencing factors and the design of decision-making algorithms, making it difficult to cope with complex flood relief scenarios. …”
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