Stability evaluation and mitigation strategies in advanced tokamaks using 3D MHD spectroscopy by S.M. Yang, S. Munaretto, T. Liu, Q. Hu, C. Holcomb, N.C. Logan, B. Victor, K. Erickson, A. Bortolon

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OPTIMIZATION OF IMID-BASED THERAPIES by Murat Çınarsoy

“…In this case, it is clear that multiple myeloma treatment optimization cannot be achieved by considering multiple myeloma treatment only as applying the appropriate drug combination.In order to ensure the optimization of IMID-based therapies, it is necessary to take a broad perspective.This perspective should include the correct selection of the patient to be treated with IMID, the development and implementation of IMID forms that will increase patient compliance, the use of techniques to predict the development of resistance, side effect management during treatment, preventing the increase in disease burden with appropriate maneuvers by following the disease burden after treatment, and drug-free follow-up.It is recommended to avoid thalidomide in the presence of peripheral neuropathy, to prefer other agents instead of lenalidomide in the presence of renal function loss, and to avoid pomalidomide in patients with COPD.Nex-20, a once-monthly subcutaneous formulation of lenalidomide, is expected to be an important breakthrough in improving patient compliance.Prediction of which patients will develop resistance will be very useful in order to have the best treatment outcomes.Calculation of miRNA risk scores, measurement of lenalidomide metabolite levels in urine, measurement of cereblon levels in blood, or immunohistochemical detection of cereblon levels are some of the methods currently being tried to predict disease resistance.Patients who develop anemia should be treated with erythropoietin, skin reactions should be treated with steroids and antihistamines, diarrhea should be treated with loperamide and colestyramine, and in general, the drug should be discontinued and the same dose or a lower dose should be insisted upon.An important part of treatment is maintenance therapy with lenalidomide. …”
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High-throughput end-to-end aphid honeydew excretion behavior recognition method based on rapid adaptive motion-feature fusion by Zhongqiang Song, Jiahao Shen, Qiaoyi Liu, Wanyue Zhang, Ziqian Ren, Kaiwen Yang, Xinle Li, Jialei Liu, Fengming Yan, Wenqiang Li, Yuqing Xing, Lili Wu

“…Simultaneously, the RT-DETR detection model underwent deep optimization: a spline-based adaptive nonlinear activation function was introduced, and the Kolmogorov-Arnold network was integrated into the deep feature stage of the ResNet50 backbone network to form the RK50 module. …”
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Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism by Yun Zuo, Gebiao Hu, Fan Gan, Zhiwu Zeng, Zhichi Lin, Xinxun Wang, Ruiqing Xu, Liang Wen, Shubing Hu, Haihong Le, Runze Wu, Jingang Wang

“…This method constructs the Improved Whale Optimization -Variational Mode Decomposition-Singular Value Decomposition-Wavelet Threshold Denoising (IWOA-VMD-SVD-WTD) fourth-order processing architecture: IWOA adaptively optimizes the VMD essential variables (K, α) and employs the optimized VMD to decompose the perception coefficient (IMF) of the PEC signal. …”
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The Mobile Divider Method: An Effective Strategy to Detect Small Hive Beetle (<i>Aethina tumida</i>) Adults in Honey Bee Colonies (<i>Apis mellifera</i>) in Calabria, Italy by Camilla Di Ruggiero, Andrea Gyorffy, Francesco Artese, Alessandra De Carolis, Angelo De Simone, Marco Pietropaoli, Camilla Pedrelli, Giovanni Formato

“…The current study aimed to evaluate the efficacy of the MD method in concentrating SHBs behind the MD and optimizing the number of SHBs detected during hive inspections, thereby improving the surveillance strategies required by European regulations and the WOAH. …”
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A New Method for Extracting and Measuring Methoxyfenozide Using ND/PAN-K10 SPE Using High Performance Liquid Chromatography by Marzieh Piryaei, Mir Mahdi Abolghasemi, Monireh Sobhi

“…It is also noteworthy that the applied method is economical and has a good linear range, reproducibility, and high sensitivity.…”
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Real-time fire and smoke detection system for diverse indoor and outdoor industrial environmental conditions using a vision-based transfer learning approach by Uttam U. Deshpande, Goh Kah Ong Michael, Sufola Das Chagas Silva Araujo, Sowmyashree H. Srinivasaiah, Harshel Malawade, Yash Kulkarni, Yash Desai

“…The framework uses NVIDIA’s Train-Adapt-Optimize (TAO) transfer learning methods to perform model optimization. …”
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A Comprehensive Survey of Cutting-Edge Methods for Software Architecture Evaluation by Amna Sajid, Muhammad Waqas Arshad

“…Within the scope of this study, a thorough analysis is carried out on eighteen different methods. Thirteen of these fall into the category of early evaluation techniques, which are positioned to detect and address architectural problems at the outset of development. …”
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LIVER EXPLANATION TECHNOLOGY OPTIMIZATION by Александр Сергеевич Разумов, Григорий Валерьевич Вавин, Алексей Владимирович Будаев, Игорь Александрович Радионов, Ольга Дмитриевна Сидорова, Е. Е. Ставицкий, Дарья Александровна Раева, Ф. А. Будаев, Вадим Гельевич Мозес

“…In comparison with the traditional method of liver explantation, the proposed technique had the following differences: the mobilization of the stomach and intestinal loops was performed with their displacement to the left and down, which provided optimal access to the mesenteric veins and the posterior (inferior) vena cava; portal vein catheterization was performed through the anterior mesenteric vein, which reduced the risk of catheter expulsion; liver extraction was performed as part of the liver-diaphragm complex using clamps on the diaphragm, which reduced the risk of organ trauma; The washing of the vascular bed of the liver from the blood began even before the complete completion of the mobilization of the organ and ended almost immediately after its extraction, which reduced the duration of primary ischemia. …”
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Research on primary frequency regulation and VSC-HVDC frequency synchronization control coordination method for large-scale hydropower DC export regional grid by Hongchun Shu, Huaibin Gao, Zongxue Shao, Yongzan Cui, Wei Zhao

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Enhanced Detection of Intrusion Detection System in Cloud Networks Using Time-Aware and Deep Learning Techniques by Nima Terawi, Huthaifa I. Ashqar, Omar Darwish, Anas Alsobeh, Plamen Zahariev, Yahya Tashtoush

“…We generate real DoS traffic, including normal, Internet Control Message Protocol (ICMP), Smurf attack, and Transmission Control Protocol (TCP) classes, and develop nine predictive algorithms, combining traditional machine learning and advanced deep learning techniques with optimization methods, including the synthetic minority sampling technique (SMOTE) and grid search (GS). …”
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Analytical Methods for Atmospheric Carbonyl Compounds: A Review by Xiaoshuai Gao, Xin Zhang, Yan Nie, Jiemeng Bao, Junling Li, Rui Gao, Yunfeng Li, Wei Wei, Xiaoyu Yan, Yongxin Yan, Hong Li

“…Currently, offline analytical techniques for carbonyl compounds require significant time and advanced experimental skills for multiple optimization experiments to detect a broader range of species. …”
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A study of qualitative correlations between crucial bio-markers and the optimal drug regimen of Type I lepra reaction: A deterministic approach by Nayak Dinesh, Sangeetha Anamalamudi Vilvanathan, Vamsi Dasu Krishna Kiran

“…We use the Newton’s gradient method for the optimal control studies.…”
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Application of the D5 discipline from the G8D method in solving quality management problems for NOK parts by Joanna Cyganiuk, Piotr Kuryło, Ali Al-Zubiedy, Magdalena Mazur

“…In construction literature, a similar approach is applied in the quality management of industrial prefabricates, where systematic defect analysis leads to the optimization of production processes. The applicability of the D5 discipline and the Poka Yoke method for securing the production station against the possibility of producing a NOK part was presented.…”
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Retinopathy Disease Detection and Classification Using a Coordinate Attention Module-Based Convolutional Neural Network with Leaky Rectified Linear Unit by Pravin Balaso Chopade, Prabhakar N. Kota, Bhagvat D. Jadhav, Pravin Marotrao Ghate, Shriram Sadashiv Kulkarni

“… The detection of Diabetic Retinopathy (DR) is an emergent research topic in recent decades, where DR is a primary cause of vision loss in humans. …”
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Performance Evaluation of Four Deep Learning-Based CAD Systems and Manual Reading for Pulmonary Nodules Detection, Volume Measurement, and Lung-RADS Classification Under Varying Ra... by Sifan Chen, Lingqi Gao, Maolu Tan, Ke Zhang, Fajin Lv

“…<b>Background:</b> Optimization of pulmonary nodule detection across varied imaging protocols remains challenging. …”
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Knowledge-dependent optimal Gaussian strategies for phase estimation by Ricard Ravell Rodríguez, Simon Morelli

“…When estimating an unknown phase rotation of a continuous-variable system with homodyne detection, the optimal probe state strongly depends on the value of the estimated parameter. …”
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A non‐fluorescent immunohistochemistry method for measuring autophagy flux using MAP1LC3/LC3 and SQSTM1 as core markers by Shahla Shojaei, Amir Barzegar Behrooz, Marco Cordani, Mahmoud Aghaei, Negar Azarpira, Daniel J. Klionsky, Saeid Ghavami

“…LC3 levels reflect autophagosome formation, whereas SQSTM1 degradation and a decrease in the number of its puncta indicate active flux (i.e., lysosomal turnover). We optimized chromogenic detection using diaminobenzidine (DAB) staining and developed a scoring system based on puncta number and the percentage of stained cells. …”
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Optimal Poisson Cognitive System with Markov Learning Model by A. A. Solodov

“…The aim of the study is to develop a mathematical model of the trained Markov cognitive system in the presence of discrete training and interfering random stimuli arising at random times at its input. The research method consists in the application of the simplest Markov learning model of Estes with a stochastic matrix with two states, in which the transition probabilities are calculated in accordance with the optimal Neуman-Pearson algorithm for detecting stimuli affecting the system. …”
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Automated detection of spreading depolarizations in electrocorticography by Sreekar Puchala, Ethan Muchnik, Anca Ralescu, Jed A. Hartings

“…Here we developed an automated method for SD detection by training machine-learning models on electrocorticography data from a 14-patient cohort that included 1,548 examples of SD direct-current waveforms as identified in expert manual scoring. …”
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