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1

Divya Boya. "Modified Mother Optimization Based Online K-Means Clustering and Routing Protocol In MANET." Journal of Information Systems Engineering and Management 10, no. 22s (2025): 121–37. https://doi.org/10.52783/jisem.v10i22s.3478.

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The term Mobile Ad-hoc Network (MANET) refers to a multi-hop wireless networking system that uses mobile nodes with limited resources due to factors such as battery life, memory, and processing power. The routing in MANETs differs from traditional broadcasting networks in that the nodes act as both routers and end machines. As a result of the nodes' resource limitations, the routing protocols for MANETs must be lightweight and assume a reliable environment. This paper presents a Modified Mother Optimization based Online K-Means Clustering and Routing Protocol (MMO-OKMC) for optimal routing in
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Chen, Yukai, Khaled Sidahmed Sidahmed Alamin, Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, and Massimo Poncino. "Electric Vehicles Plug-In Duration Forecasting Using Machine Learning for Battery Optimization." Energies 13, no. 16 (2020): 4208. http://dx.doi.org/10.3390/en13164208.

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The aging of rechargeable batteries, with its associated replacement costs, is one of the main issues limiting the diffusion of electric vehicles (EVs) as the future transportation infrastructure. An effective way to mitigate battery aging is to act on its charge cycles, more controllable than discharge ones, implementing so-called battery-aware charging protocols. Since one of the main factors affecting battery aging is its average state of charge (SOC), these protocols try to minimize the standby time, i.e., the time interval between the end of the actual charge and the moment when the EV is
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Yassin, Ghazwan F., and Ayad H. Abdulqader. "An Intelligent Q-Learning-Based Routing Model." International Research Journal of Innovations in Engineering and Technology 09, no. 02 (2025): 58–68. https://doi.org/10.47001/irjiet/2025.902008.

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The rising speed of data transmission requires modern technology to meet its essential requirement of network communication efficiency through effective routing techniques. Routers act as the central elements of this functionality which demonstrates why their optimal performance needs attention. This work introduces an intelligent routing design that applies machine learning approaches for network performance optimization under dynamic network environments. The fluctuating environments decrease the effectiveness of traditional routing protocols including RIP, BGP and OSPF while causing their r
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Yang, Siqi, Wenqiang Pan, Min Li, et al. "Industrial Internet of Things Intrusion Detection System Based on Graph Neural Network." Symmetry 17, no. 7 (2025): 997. https://doi.org/10.3390/sym17070997.

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Deep learning greatly improves the detection efficiency of abnormal traffic through autonomous learning and effective extraction of data feature information. Among them, Graph Neural Networks (GNN) effectively fit the data features of abnormal traffic by aggregating the features and structural information of network nodes. However, the performance of GNN in the field of industrial Internet of Things (IIoT) is still insufficient. Since the asymmetry of GNN traffic data is greater than that of the traditional Internet, it is necessary to propose a detection method with high detection rate. At pr
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Tomaszewska-Sowa, Magdalena, Anna Figas, Norbert Keutgen, and Anna J. Keutgen. "Establishing an efficient explant superficial sterilization protocol for in vitro micropropagation of bear’s garlic (Allium ursinum L.)." Herba Polonica 61, no. 4 (2015): 66–77. http://dx.doi.org/10.1515/hepo-2015-0032.

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SummaryIntroduction:Allium ursinumL. has a commercial value due to its high contents of bio-active compounds and mild, garlic-like taste.In vitroculture played an important role in obtainingAlliumspecies with the desired characteristics and in the production of healthy reproductive material.Objective:Developing an effective method of sterilization bear’s garlic bulbs.Methods:To obtain sterile shoots of garlic several methods of sterilization involving such factors as ACE, H2O2, HgCl2, and UV-C were tested.Results:In order to obtain sterile shoots of bear’s garlic, several sterilization procedu
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Zhou, Xuan Wu. "Scheme Optimization in Key Management with Cryptograph Methods." Applied Mechanics and Materials 20-23 (January 2010): 539–45. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.539.

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System optimization for key management is an essential method to facilitate the wide application of key management in cryptography protocols. In the paper, we presented a threshold recovering algorithm for key distribution protocols. In the algorithm, the private keys from KGC (Key Generating Center) is encrypted and then shared among the applier members. The attack on the encrypted private keys and the threshold scheme proves computationally infeasible with exponent complexity. Besides, the threshold recovering algorithm is independent of the KGC without leakage of private information of the
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Seshaiah Merikapudi, Tabassum Ara, Shwetha V. ,. Bhagwant Deshpande,. "Peli-Remo Optimization Algorithm for Reliable routing in MANET: K-means node clustering process and CNN based Energy Prediction." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (2023): 3353–71. http://dx.doi.org/10.52783/tjjpt.v44.i4.1471.

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MANET, an ad hoc wireless network is made up of several nodes connected, governed by certain rules for packet movement from one node point to another. The structure of communication may be designed using a variety of protocols. For an ad hoc network, routing protocols are used to manage the connections. It must manage several issues, including supporting mobile devices and reducing overhead when nodes only have access to a portion of the resources. In order to improve the communication, this article suggests an effective MANET cluster-based routing paradigm for multimedia communication. The cl
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Osmani, Amjad, Abolfazl Toroghi Haghighat, and Shirin Khezri. "Location Update Improvement Using Fuzzy Logic Optimization in Location Based Routing Protocols in MANET." International Journal of Grid and High Performance Computing 3, no. 3 (2011): 1–19. http://dx.doi.org/10.4018/jghpc.2011070101.

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Several position-based routing protocols have been developed for mobile ad hoc networks. Many of these protocols assume that a location service is available which provides location information on the nodes in the network. This paper introduces a new schema in management of mobile nodes location in mobile ad hoc networks. Fuzzy logic optimization is applied to a better management of location update operation in hierarchical location services. Update management overhead is decreased without significant loss of query success probability. One-hop-chain-technique is used for Auto compensation. A ne
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Krupka, Magdalena, and Agnieszka I. Piotrowicz-Cieślak. "Optimization of the Method for Isolating Bacterial DNA from the Aboveground Part of Lettuce." International Journal of Molecular Sciences 25, no. 15 (2024): 8513. http://dx.doi.org/10.3390/ijms25158513.

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Developing an effective method for isolating bacterial genetic material from plants is a relatively challenging task and often does not yield adequately prepared material for further analyses. Previous studies often overlook connections, primarily focusing on laboratory investigations. With advancements in high-throughput sequencing techniques, we can now revisit and delve deeper into these interactions. Our study focuses on the initial phase of these investigations: genetic material isolation. Extracting bacterial DNA from aboveground plant parts, known as the phyllosphere, poses a significan
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Sabbatella, Antonio, Francesco Archetti, Andrea Ponti, Ilaria Giordani, and Antonio Candelieri. "Bayesian Optimization for Instruction Generation." Applied Sciences 14, no. 24 (2024): 11865. https://doi.org/10.3390/app142411865.

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The performance of Large Language Models (LLMs) strongly depends on the selection of the best instructions for different downstream tasks, especially in the case of black-box LLMs. This study introduces BOInG (Bayesian Optimization for Instruction Generation), a method leveraging Bayesian Optimization (BO) to efficiently generate instructions while addressing the combinatorial nature of instruction search. Over the last decade, BO has emerged as a highly effective optimization method in various domains due to its flexibility and sample efficiency. At its core, BOInG employs Bayesian search in
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Ganeson, Sathya, and Jasmine Evanjaline Daniel. "Metaheuristic based routing incorporated with energy harvesting for enhanced network lifetime in WBAN." Bulletin of Electrical Engineering and Informatics 12, no. 2 (2023): 1171~1179. https://doi.org/10.11591/eei.v12i2.4589.

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Wireless body area networks (WBAN) have improved healthcare industries to a large extent by providing contactless measurements and remote data analysis. However, the challenges encountered are mostly in the form of energy depletion scenarios, which results in the reduction of network lifetime to a large extent. This work presents an effective model to provide energy-efficient routing and enhanced energy harvesting mechanisms to improve network lifetime. The ant colony optimization (ACO) method has been extended to include a fitness function that takes into account several factors, and this is
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Simonova, A. Yu, M. M. Potskhveriya, M. V. Belova, et al. "On the Treatment of Acute Poisoning With Paracetamol." Russian Sklifosovsky Journal "Emergency Medical Care" 11, no. 2 (2022): 249–57. http://dx.doi.org/10.23934/2223-9022-2022-11-2-249-257.

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BACKGROUND Currently, despite the optimization of diagnostic methods in order to predict the development of liver damage, improvement of treatment protocols, paracetamol poisoning is a serious problem in medicine, being the most common cause of acute liver failure worldwide.AIM OF STUDY To determine the indications for the use of acetylcysteine in paracetamol poisoning and evaluate the effectiveness of the 21-hour protocol for its administration.MATERIAL AND METHODS We examined 20 patients with acute paracetamol poisoning (15 women and 5 men), the median age was 21.5 (19.8–32.3) years. ALT and
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Endrianto, Wendy. "Optimization of Control Self Assessment Application to Minimize Fraud." Binus Business Review 7, no. 1 (2016): 59. http://dx.doi.org/10.21512/bbr.v7i1.1455.

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This article discussed a method that can be done by a company to minimize fraud action by applying Control Self Assessment (CSA). The study was conducted by studying literature on the topics discussed that were presented descriptively in a systematic manner through the review one by one from the initial problem to solve the problem. It can be concluded that CSA is one form of auditing practices that emphasizes anticipatory action (preventive) of the act of detection (detective) that the concept of modern internal audit which is carried more precise in application. It is one alternative that is
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Kordolaimi, Sofia D., Ioannis Saradeas, Agapi Ploussi, Ioannis Pantos, Stylianos Argentos, and Efstathios P. Efstathopoulos. "Introduction of an Effective Method for the Optimization of CT Protocols Using Iterative Reconstruction Algorithms: Comparison With Patient Data." American Journal of Roentgenology 203, no. 4 (2014): W434—W439. http://dx.doi.org/10.2214/ajr.13.11973.

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Brindha, G., and P. Sudha Juliet. "An Energy-Aware Cluster Head Selection Protocol based on Multi-Objective Dolphin Swarm Optimization in Wireless Sensor Network." International Journal of Intelligent Communication, Computing and Networks 1, no. 2 (2021): 30–46. http://dx.doi.org/10.51735/ijiccn/001/14.

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The Wireless Sensor Network (WSN) is spread widely in many applications due to its portable, cost-effective, and user-friendly approach. This needs to adopt routing schemes to forward the sensed information to the sink nodes or base station through minimum-cost links. The frequently utilized data accumulation approach is clustering which organizes the nodes into clutches to minimize the consumption of energy. Likewise, in clustering protocols, the additional load will be bear by the Cluster Head (CH) for organizing various deeds inside the cluster. As a result, appropriate CH selection and the
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Ali, Asgher, Mudassar Imran, Sultan Sial, and Adnan Khan. "Effective antibiotic dosing in the presence of resistant strains." PLOS ONE 17, no. 10 (2022): e0275762. http://dx.doi.org/10.1371/journal.pone.0275762.

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Mathematical models can be very useful in determining efficient and successful antibiotic dosing regimens. In this study, we consider the problem of determining optimal antibiotic dosing when bacteria resistant to antibiotics are present in addition to susceptible bacteria. We consider two different models of resistance acquisition, both involve the horizontal transfer (HGT) of resistant genes from a resistant to a susceptible strain. Modeling studies on HGT and study of optimal antibiotic dosing protocols in the literature, have been mostly focused on transfer of resistant genes via conjugati
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Li, Jianxun, Kin Keung Lai, Yelin Fu, and Hai Shen. "Robust optimization approach to emergency mobile facility routing." Science Progress 104, no. 1 (2021): 003685042098268. http://dx.doi.org/10.1177/0036850420982685.

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Emergency events such as natural disasters, environmental events, sudden illness, and social security events pose tremendous threats to people’s lives and property security. In order to meet emergency service demands by rationally allocating mobile facilities, an emergency mobile facility routing model is proposed to maximize the total served demand by the available mobile facilities. Based on the uninterruptible feature of emergency services, the model abstracts emergency events act as a combination of multiple uncertain variables. To overcome the computational difficulty, a robust optimizati
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Amin, Rostami, and Hossin Mottar Mohammad. "WIRELESS SENSOR NETWORK CLUSTERING USING PARTICLES SWARM OPTIMIZATION FOR REDUCING ENERGY CONSUMPTION." WIRELESS SENSOR NETWORK CLUSTERING USING PARTICLES SWARM OPTIMIZATION FOR REDUCING ENERGY CONSUMPTION 6, no. 4 (2014): 1 to 15. https://doi.org/10.5281/zenodo.3550568.

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Wireless sensor networks (WSN) is composed of a large number of small nodes with limited functionality. The most important issue in this type of networks is energy constraints. In this area several researches have been done from which clustering is one of the most effective solutions. The goal of clustering is to divide network into sections each of which has a cluster head (CH). The task of cluster heads collection, data aggregation and transmission to the base station is undertaken. In this paper, we introduce a new approach for clustering sensor networks based on Particle Swarm Optimization
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Desai, Dhwani, Hosam El-Ocla, and Surbhi Purohit. "Data Dissemination in VANETs Using Particle Swarm Optimization." Sensors 23, no. 4 (2023): 2124. http://dx.doi.org/10.3390/s23042124.

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A vehicular Ad-Hoc Network (VANET) is a type of Mobile Ad-Hoc Networks (MANETs) that uses wireless routers inside each vehicle to act as a node. The need for effective solutions to urban traffic congestion issues has increased recently due to the growing number of automobile connections in the car communications system. To ensure a high level of service and avoid unsafe situations brought on by congestion or a broadcast storm, data dissemination in a VANET network requires an effective approach. Effective multi-objective optimization methods are required to tackle this because of the implied c
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Panosyan, Ara. "Optimization based power system stabilizer tuning." at - Automatisierungstechnik 69, no. 5 (2021): 376–88. http://dx.doi.org/10.1515/auto-2021-0012.

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Abstract The most cost-effective method to improve the damping of low frequency electromechanical oscillations in interconnected power systems is the use of Power System Stabilizers (PSS), which act as supplementary controllers in the generator excitation system. In general, the performance of a power system stabilizer depends on the proper tuning of its parameters, to ensure a positive contribution to the small signal stability of the power system, without negatively impacting its transient stability. This paper will discuss the different roles of the excitation system automatic voltage regul
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Torbiak, Allison, Muna Bebsh, Asmaa Haimeur, Ana Carla Fernandes, Cristina Fiuza, and Rodrigo França. "Enhancing Shear Bond Strength in Lithium Silicate Glass Ceramics: Surface Treatment Optimization for Reseating Protocols." Crystals 14, no. 10 (2024): 856. http://dx.doi.org/10.3390/cryst14100856.

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The rapid evolution of lithium silicate-based glass ceramics in the field of dental ceramics has led to the availability of different compositions in the market. This in vitro study was conducted to assess an effective protocol for recementing de-bonded lithium silicate-based glass ceramics by evaluating the shear bond strength of three reseating methods. The study included IPS e.max® CAD, Vita Suprinity®, Celtra Duo®, and n!ce as lithium-based glass ceramics. The samples underwent a series of preparation steps, including embedding in acrylic resin, hand polishing, etching with 5% hydrofluoric
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Berkovich, G. V., A. V. Vodovatov, L. A. Chipiga, and G. E. Trufanov. "The results of approbation of a comprehensive expert assessment of the quality of CT images of the chest obtained on low-dose scanning protocols using iterative reconstruction methods." Diagnostic radiology and radiotherapy 12, no. 3 (2021): 54–71. http://dx.doi.org/10.22328/2079-5343-2021-12-3-54-71.

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Introduction. Сomputed tomography (CT) is associated with high individual patient doses. Hence, the process of optimization in CT examinations by developing low-dose scan protocols is important.Purpose of the study. Clinical approbation of low-dose protocols developed by the authors earlier, selection of the most promising protocol, assessment of the applicability of the developed algorithm for expert assessment of the quality of CT images.Materials and methods. The study was based on the data from 96 patients who underwent cardiac surgery with suspected infection in the lungs or sternal wound
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Tsutsumanova, Gitchka G., Neno D. Todorov, Stoyan C. Russev, Miroslav V. Abrashev, Victor G. Ivanov, and Alexey V. Lukoyanov. "Silver Flowerlike Structures for Surface-Enhanced Raman Spectroscopy." Nanomaterials 11, no. 12 (2021): 3184. http://dx.doi.org/10.3390/nano11123184.

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Micro- and nanoflowers are a class of materials composed of particles with high surface-to-volume ratio. They have been extensively studied in the last decade due to simple preparation protocols and promising applications in biosensing, as drug delivery agents, for water purification, and so on. Flowerlike objects, due to their highly irregular surface, may act also as plasmonic materials, providing resonant coupling between optical waves and surface plasmon excitations. This fact allows us to infer the possibility to use micro- and nanoflowers as effective surface-enhanced Raman scattering (S
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Silva, Douglas Monteiro da, Maria das Graças Wanderley de Sales Coriolano, João Gabriel Figuêredo de Macêdo, Liliane Pereira da Silva, and Otávio Gomes Lins. "Practice of mental protocols used in rehabilitation of patients with Parkinson’s disease: a systematic review." Acta Fisiátrica 23, no. 3 (2016): 155–60. http://dx.doi.org/10.11606/issn.2317-0190.v23i3a137665.

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The Mental Practice (MP) consists of a training method by which a given specific motor act is cognitively reproduced internally and repeated with the intention of promoting learning or improvement of motor skills, without inducing any real movement. The results of MP to research in Parkinson’s disease are still ambiguous due to various reasons such as the diversity of the intervention protocols. The MP with intervention protocols are cognitively complex and challenging presenting variations in its application concerning the type of PM, task/movement to be imagined and type of instruction. Obje
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Haoxiang, Dr Wang, and Dr Smys S. "QOS ENHANCED ROUTING PROTOCOLS FOR VEHICULAR NETWORK USING SOFT COMPUTING TECHNIQUE." Journal of Soft Computing Paradigm 2019, no. 2 (2019): 91–102. http://dx.doi.org/10.36548/jscp.2019.2.004.

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The vehicular network that scopes to reach the internet access to make use of the available service on road along with the improvement in the safety and convenience while travelling has become a very popular area of research as they lay as the foundation for the intelligent transportation system. But due to the high mobility of the vehicles the network topology remains dynamic and the connectivity between the vehicles keep on changing reducing the life expectancy of the links and failures in the delivery of the services. So this paves way for the entailment of the more effective routing protoc
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Amirkulova, Feruza A., and Andrew N. Norris. "The Gradient of Total Multiple Scattering Cross-Section and Its Application to Acoustic Cloaking." Journal of Theoretical and Computational Acoustics 28, no. 04 (2020): 1950016. http://dx.doi.org/10.1142/s2591728519500166.

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We derive a formula for the gradients of the total scattering cross-section (TSCS) with respect to positions of a set of cylindrical scatterers. The analytic form enhances modeling capability when combined with optimization algorithms and parallel computing. As application of the method, we consider a gradient-based minimization of TSCS for a set of cylindrical obstacles by incrementally repositioning them so that they eventually act as an effective cloaking device. The gradient-based optimization algorithm reduces the TSCS by evaluating its derivative with respect to the cylinder positions an
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Dr. Abhishek Badholia, Kanak Prabha Lila Ramani,. "CLUSTER BASED ROUTING PROTOCOLS IN WSN SENSOR." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (2021): 198–206. http://dx.doi.org/10.17762/itii.v9i1.119.

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Over the past few years we can observe the WSNs or Wireless Sensor Network applications in various fields increasing immensely. The energy efficiency, network lifetime and clustering process prime goal is the working network's optimization is the focus of many of the routing algorithm. Keeping in mind the network homogeneity, for network performance reinforcement we suggest instead of single path to use multiple paths. For WSNs, Reinforcement Intelligence Routing Protocol (RIRP)[1]. In the multihop wireless sensor networks an efficient and effective method for security improvements local monit
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Abd-ElSalam, Heba-Alla H., Mohammed Gamal, Ibrahim A. Naguib, Medhat A. Al-Ghobashy, Hala E. Zaazaa, and M. Abdelkawy. "Development of Green and Efficient Extraction Methods of Quercetin from Red Onion Scales Wastes Using Factorial Design for Method Optimization: A Comparative Study." Separations 8, no. 9 (2021): 137. http://dx.doi.org/10.3390/separations8090137.

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Waste resulting from edible plants is considered one of the best sources of valuable phytochemicals. A promising approach for using these appreciated wastes is extracting precious medically important constituents, for example, free quercetin. Two new cost-effective and green extraction methods are introduced in the present study: ultrasound-assisted glycerol extraction (UAGE) and microwave-assisted extraction (MAE). These extraction protocols are optimized using factorial design to define the highest yield of extraction, and HPLC-UV at 370 nm was used as a method of yield analysis. Quercetin r
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Orlov, A. V., A. G. Burenin, V. O. Shipunova, A. A. Lizunova, B. G. Gorshkov, and P. I. Nikitin. "Development of Immunoassays Using Interferometric Real-Time Registration of Their Kinetics." Acta Naturae 6, no. 1 (2014): 85–95. http://dx.doi.org/10.32607/20758251-2014-6-1-85-95.

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A method for effective development of solid-phase immunoassays on a glass surface and for optimization of related protocols by highly sensitive quantitative monitoring of each assay step has been proposed and experimentally implemented. The method is based on the spectral correlation interferometry (SCI) that allows real-time measuring of the thickness of a biomolecular layer bound to the recognition molecular receptors on the sensor chip surface. The method is realized with compact 3-channel SCI-biosensors that employ as the sensor chips standard cover glass slips without deposition of any ad
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Miranda Anchundia, Andrea Katherine, and Lourdes Elizabeth Menéndez Oña. "Optimization of the tunneling technique in the treatment of gingival recessions." Data and Metadata 2 (December 29, 2023): 254. http://dx.doi.org/10.56294/dm2023254.

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Introduction: Gingival recession has presented significant aesthetic and functional challenges for patients, making it imperative to search for effective surgical techniques that improve periodontal results. Therefore, the present study has focused on optimizing the tunneling technique with a subepithelial connective tissue graft, through the implementation and evaluation of different clinical strategies that improve the results of surgery and patient safety.Method: The VIKOR method was used for multi-criteria decision making, which allowed the analysis of several strategies based on specific
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Miranda Anchundia, Andrea Katherine, and Lourdes Elizabeth Menéndez Oña. "Optimization of the tunneling technique in the treatment of gingival recessions." Data and Metadata 3 (December 29, 2023): 254. http://dx.doi.org/10.56294/dm2024254.

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Introduction: Gingival recession has presented significant aesthetic and functional challenges for patients, making it imperative to search for effective surgical techniques that improve periodontal results. Therefore, the present study has focused on optimizing the tunneling technique with a subepithelial connective tissue graft, through the implementation and evaluation of different clinical strategies that improve the results of surgery and patient safety.Method: The VIKOR method was used for multi-criteria decision making, which allowed the analysis of several strategies based on specific
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Fitousis, Kalliopi, Robin Klasek, Phillip E. Mason, and Faisal Masud. "Evaluation of a pharmacy managed heparin protocol for extracorporeal membrane oxygenation patients." Perfusion 32, no. 3 (2016): 238–44. http://dx.doi.org/10.1177/0267659116678057.

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Introduction: Unfractionated heparin is the preferred anticoagulant in extracorporeal membrane oxygenation (ECMO) patients. However, there is a lack of consensus on its titration and monitoring. The objective of this study was to describe the efficacy and safety of a pharmacy managed heparin protocol utilizing activated partial thromboplastin time (aPTT) in comparison to our standard physician-managed activated clotting time (ACT)-based anticoagulation in ECMO patients. Methods: Patients administered a heparin drip while on ECMO were included in the study. The primary endpoints were the incide
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Pagadala, Pavan Kumar, P. Lalitha Surya Kumari, Deepak Thakur, et al. "Slow Heat-Based Hybrid Simulated Annealing Algorithm in Vehicular Ad Hoc Network." Computational Intelligence and Neuroscience 2023 (February 17, 2023): 1–10. http://dx.doi.org/10.1155/2023/9918748.

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Vehicular ad hoc networks (VANETs) using reliable protocols of routing have become crucial in identifying the changes to topology on a continuous basis for a large collection of vehicles. For this purpose, it becomes important to identify an optimal configuration of these protocols. There are several possible configurations that have been preventing the configuration of efficient protocols that do not make use of automatic and intelligent design tools. It can further motivate using the techniques of metaheuristics like the tools, which are well-suited to be able to solve these problems. The gl
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Ujiie, Hideki, Ryohei Chiba, Akihiro Sasaki, et al. "Dose Optimization of Intravenous Indocyanine Green for Malignant Lung Tumor Localization." Journal of Clinical Medicine 13, no. 10 (2024): 2807. http://dx.doi.org/10.3390/jcm13102807.

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Background: Intravenously administered indocyanine green (ICG) accumulates in lung tumors, facilitating their detection via a fluorescence spectrum measurement. This method aids in identifying tumor locations that are invisible to the naked eye. We aim to determine the optimal ICG dose and administration method for accurate tumor identification during lung resection surgeries, utilizing a novel ICG fluorescence spectroscopy system for precise tumor localization. Materials and Methods: ICG should be dissolved in the provided solution or distilled water and administered intravenously approximate
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Angthong, Pacharaporn, Tanaporn Uengwetwanit, Wirulda Pootakham, et al. "Optimization of high molecular weight DNA extraction methods in shrimp for a long-read sequencing platform." PeerJ 8 (November 13, 2020): e10340. http://dx.doi.org/10.7717/peerj.10340.

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Marine organisms are important to global food security as they are the largest source of animal proteins feeding mankind. Genomics-assisted aquaculture can increase yield while preserving the environment to ensure sufficient and sustainable production for global food security. However, only few high-quality genome sequences of marine organisms, especially shellfish, are available to the public partly because of the difficulty in the sequence assembly due to the complex nature of their genomes. A key step for a successful genome sequencing is the preparation of high-quality high molecular weigh
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Sugave, Shounak, and Balaso Jagdale. "Monarch-EWA: Monarch-Earthworm-Based Secure Routing Protocol in IoT." Computer Journal 63, no. 6 (2019): 817–31. http://dx.doi.org/10.1093/comjnl/bxz135.

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Abstract Routing in the Internet of Things (IoT) renders the protection against various network attacks as any attacker intrudes the routing mechanism for establishing the destructive mechanisms against the network, which insists the essentiality of the security protocols in IoT. Thus, the paper proposes a secure protocol based on an optimization algorithm, Monarch-Earthworm Algorithm (Monarch-EWA), which is the modification of the Monarch Butterfly algorithm using the Earthworm Optimization Algorithm (EWA) in order to render effective security to the network. Initially, the effective nodes ar
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Baranov, Oleg A., Dmitry A. Bayran, Ilya V. Markin, Elena S. Shchelkanova, and Evgeny A. Zhurbin. "Approaches to isolating and purifying nucleic acids from blood for genotyping human leukocytic antigen." Bulletin of the Russian Military Medical Academy 24, no. 1 (2022): 111–24. http://dx.doi.org/10.17816/brmma75680.

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Donorrecipient histocompatibility results from the presence on cell membranes of the main protein complex of histocompatibility and is a key condition for successful transplantation of cells, tissues, and organs. To determine histocompatibility, human leukocyte antigen is genotyped, and its accuracy relied significantly on the quality and quantity of nucleic acids obtained from the biomaterial. In laboratory practice, the most pure and intact deoxyribonucleic and ribonucleic acids are extracted from the blood; however, the choice of an accessible, effective, time-efficient, and viable method f
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Vançin, Sercan, and Ebubekir Erdem. "Threshold Balanced Sampled DEEC Model for Heterogeneous Wireless Sensor Networks." Wireless Communications and Mobile Computing 2018 (November 6, 2018): 1–12. http://dx.doi.org/10.1155/2018/4618056.

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Due to the restricted hardware resources of the sensor nodes, modelling and designing energy efficient routing methods to increase the overall network lifetime have become one of the most significant strategies in wireless sensor networks (WSNs). Cluster-based heterogeneous routing protocols, a popular part of routing technology, have proven effective in management of topology, energy consumption, data collection or fusion, reliability, or stability in a distributed sensor network. In this article, an energy efficient three-level heterogeneous clustering method (DEEC) based distributed energy
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Wang, Yaoli, Yujun Duan, Wenxia Di, Qing Chang, and Lipo Wang. "Optimization of Submodularity and BBO-Based Routing Protocol for Wireless Sensor Deployment." Sensors 20, no. 5 (2020): 1286. http://dx.doi.org/10.3390/s20051286.

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Wireless sensors are limited by node costs, communication efficiency, and energy consumption when wireless sensors are deployed on a large scale. The use of submodular optimization can reduce the deployment cost. This paper proposes a sensor deployment method based on the Improved Heuristic Ant Colony Algorithm-Chaos Optimization of Padded Sensor Placements at Informative and cost-Effective Locations (IHACA-COpSPIEL) algorithm and a routing protocol based on an improved Biogeography-Based Optimization (BBO) algorithm. First, a mathematical model with submodularity is established. Second, the I
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Patil, Nagaraj B., and Shaeista Begum. "An Effective Data Dissemination Using Multi Objective Congestion Metric Based Artificial Ecosystem Optimization for Vehicular Ad-Hoc Network." International Journal of Computer Network and Information Security 15, no. 1 (2023): 54–63. http://dx.doi.org/10.5815/ijcnis.2023.01.05.

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Vehicular Ad-hoc Network (VANET) is a growing technology that utilizes moving vehicles as mobile nodes for exchanging essential information between users. Unlike the conventional radio frequency based VANET, the Visible Light Communication (VLC) is used in the VANET to improve the throughput. However, the road safety is considered as a significant issue for users of VANET. Therefore, congestion-aware routing is required to be developed for enhancing road safety, because it creates a collision between the vehicles that causes packet loss. In this paper, the Multi Objective Congestion Metric bas
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Bergen, T. A., V. A. Fokin, and G. E. Trufanov. "Optimization of follow-up MRI protocol for malignant neoplasms of the female pelvis." Diagnostic radiology and radiotherapy 12, no. 1 (2021): 7–13. http://dx.doi.org/10.22328/2079-5343-2021-12-1-7-13.

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Introduction. MRI is widely used to follow-up malignant neoplasms of the female pelvis. Aim. To optimize the use of MRI sequences for follow-up of female patients with malignant pelvic neoplasms. Materials and methods. Retrospective analysis of female pelvic MRI has been performed on 1.5 T MR scanner. This study includes 530 protocols. Results. The authors describe different protocols for assessment and differential diagnosis of recurrence, postradiation and postoperative changes. It includes applicable sequences, axis and the structure which require evaluation. In all cases, dynamic follow-up
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Vodovatov, A. V. "Evaluation of the dose reduction capabilities in digital radiography of the chest using contrast-detail phantom." Radiatsionnaya Gygiena = Radiation Hygiene 12, no. 1 (2019): 62–73. http://dx.doi.org/10.21514/1998-426x-2019-12-1-62-73.

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Assessment of the quality of the images obtained using optimized (low-dose) protocols is the inherent part of the optimization in X-ray diagnostics. To perform the objective quantitative image quality assessment one can use dedicated test-objects, including several components for the simultaneous measurement of the different physical image characteristics (contrast and spatial resolution). The use of such test objects allows estimating and assessing the relations between the patient dose, parameter of the X-ray examination and image quality. That is especially important for the optimization of
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Садовников, Ф. А. "Optimization of standard protocols for subculturing mesenchymal stem cells from primary mouse bone marrow culture." Nauchno-prakticheskii zhurnal «Patogenez» 21, no. 3 (2023): 58–61. http://dx.doi.org/10.25557/2310-0435.2023.03.58-61.

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Особый интерес научного сообщества привлекает терапевтический и иммуномодулирующий потенциал мультипотентных мезенхимальных стволовых клетках (ММСК) костного мозга. В связи с этим поиск эффективной методики выращивания клеток данного типа является актуальной задачей для экспериментальной медицины. Целью исследования стала оптимизация стандартных протоколов субкультивирования мышиных ММСК, получаемых из первичной культуры костного мозга. Материалы и методы. Оценивался выход клеток при пассировании трипсином или аккутазой с помощью различных методик спустя 14 дней культивирования суспензий костн
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Mazloom, Mohammad Sadegh, Farzaneh Rezaei, Abdolhossein Hemmati-Sarapardeh, Maen M. Husein, Sohrab Zendehboudi, and Amin Bemani. "Artificial Intelligence Based Methods for Asphaltenes Adsorption by Nanocomposites: Application of Group Method of Data Handling, Least Squares Support Vector Machine, and Artificial Neural Networks." Nanomaterials 10, no. 5 (2020): 890. http://dx.doi.org/10.3390/nano10050890.

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Asphaltenes deposition is considered a serious production problem. The literature does not include enough comprehensive studies on adsorption phenomenon involved in asphaltenes deposition utilizing inhibitors. In addition, effective protocols on handling asphaltenes deposition are still lacking. In this study, three efficient artificial intelligent models including group method of data handling (GMDH), least squares support vector machine (LSSVM), and artificial neural network (ANN) are proposed for estimating asphaltenes adsorption onto NiO/SAPO-5, NiO/ZSM-5, and NiO/AlPO-5 nanocomposites bas
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Prabhu, T. S., S. Nithyanandh, K. J. Eldho, B. Karthikeyan, and V. Vasanthi. "Securing Next Generation 6G Wireless Networks Through Intelligent Bio-Inspired Routing with Energy Optimization for Enhanced Authentication." Indian Journal Of Science And Technology 18, no. 23 (2025): 1882–95. https://doi.org/10.17485/ijst/v18i23.850.

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Objectives: To develop a novel intelligent routing and energy optimization protocol for 6G-enabled wireless network medium to enhance security and authentication. The proposed protocol will balance the energy utilization across nodes and address the vulnerabilities in WPA2/PSK authentication precisely against man in the middle attacks. Methods: Multi-objective particle swarm optimization is employed for node scheduling where the data packets are to be traveled from source to destination. Continuous Time State Transition probability and a robust route optimization method are utilized to minimiz
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Mnati, Mustafa N., Ahmed Salih Al-Khaleefa, Mohammed Ahmed Jubair, and Rasha Abed Hussein. "Hybrid optimization-based Effective Path Selection and Multipath routing in MANETs." Archives des Sciences 74, no. 6 (2024): 91–97. http://dx.doi.org/10.62227/as/74613.

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Mobile Adhoc Networks (MANETs) have emerged as a popular technology because of their wide application and independent mobility. Nevertheless, communication through MANETs can be effective because of their inherent nature of high mobility, which in turn results in a higher rate of data loss and delay. Therefore, for effective communication to be achieved, the MANETs’ routing performance must be enhanced. Some extant routing protocols like AOMDV can yield moderate Routing Overhead (RO) during communication. The review of previous studies shows that there is a need for improvement in the followin
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Gao, Chen-Xiao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, and Yang Yu. "ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 11 (2024): 12127–35. http://dx.doi.org/10.1609/aaai.v38i11.29101.

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Decision Transformer (DT), which employs expressive sequence modeling techniques to perform action generation, has emerged as a promising approach to offline policy optimization. However, DT generates actions conditioned on a desired future return, which is known to bear some weaknesses such as the susceptibility to environmental stochasticity. To overcome DT's weaknesses, we propose to empower DT with dynamic programming. Our method comprises three steps. First, we employ in-sample value iteration to obtain approximated value functions, which involves dynamic programming over the MDP structur
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Rodríguez, Alma, Marco Pérez-Cisneros, Julio C. Rosas-Caro, Carolina Del-Valle-Soto, Jorge Gálvez, and Erik Cuevas. "Robust Clustering Routing Method for Wireless Sensor Networks Considering the Locust Search Scheme." Energies 14, no. 11 (2021): 3019. http://dx.doi.org/10.3390/en14113019.

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Multiple applications of sensor devices in the form of a Wireless Sensor Network (WSN), such as those represented by the Internet of Things and monitoring dangerous geographical spaces, have attracted the attention by several scientific communities. Despite their interesting properties, sensors present an adverse characteristic: they manage very limited energy. Under such conditions, saving energy represents one of the most important concepts in designing effective protocols for WSNs. The objective of a protocol is to increase the network lifetime through the reduction of energy consumed by ea
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Farveen, S. Sultana. "A CRN Based Radio Resource Optimization using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 7126–32. https://doi.org/10.22214/ijraset.2025.70059.

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Cognitive radio networks (CRNs) have been widely used in various applications for the effective radio spectrum utilization in recent years. It is essential for fend off the growing demand for this finite natural resource for next-generation communications. In CRNs, detecting the activity of primary user requires opportunistic spectrum sensing of efficient usage in available radio spectrum, which is an limited for exquisite resource. Thus, CRNs key component in solving the spectrum scarcity issue in presence of primary user bands through secondary users. Cognitive radio Ad-Hoc networks (CRAHNs)
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Wong, J., A. Tsujimoto, NG Fischer, et al. "Enamel Etching for Universal Adhesives: Examination of Enamel Etching Protocols for Optimization of Bonding Effectiveness." Operative Dentistry 45, no. 1 (2020): 80–91. http://dx.doi.org/10.2341/18-275-l.

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SUMMARY Objective: The purpose of this study was to evaluate whether different enamel etching methods with reduced etching times would improve the bonding effectiveness of universal adhesives. Methods and Materials: Three enamel etching methods, phosphoric acid ester monomer (PPM) etching, phosphoric acid (PPA) etching, and polyalkenoic acid (PLA) etching, and three universal adhesives, G-Premio Bond (GP), Prime&Bond elect (PE), and Scotchbond Universal Adhesive (SU), were evaluated. Initial bond strengths and fatigue strengths of universal adhesives to ground enamel and ground enamel etch
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