Attention-driven echo cancellation: A novel transformer-based approach for robust acoustic echo and noise cancellation by Soni Ishwarya V, Mohanaprasad K

“…They are well known for their outstanding performances and ability to deliver clear speech signals. Many deep learning models have been developed, including convolutional recurrent neural networks (CRNN), gated recurrent units (GRU), and bidirectional long short-term memory (BSTM). …”
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The use of silicon in controlling osmotic stress and its effect on seed germination characteristics and seedling growth of Camelina by Nasrin Teimoori, Mokhtar Ghobadi, Danial Kahrizi

“…Camelina oilseed has a lot of ability to be placed in the cultivation pattern of Iran's drylands. …”
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Molecular behaviors in thin film lubrication—Part one: Film formation for different polarities of molecules by Shaohua Zhang, Yijun Qiao, Yuhong Liu, Liran Ma, Jianbin Luo

“…The enrichment of additive molecules enhanced the film-forming ability of the lubricant and resulted in a reduction in the friction coefficient of up to 61%. …”
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Machine Learning-Based Software for Predicting <i>Pseudomonas</i> spp. Growth Dynamics in Culture Media by Fatih Tarlak

“…Machine learning models provided superior accuracy over traditional approaches, with R²_adj values from 0.834 to 0.959 and RMSE values between 0.005 and 0.010, showcasing their ability to handle complex growth patterns more effectively. …”
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Deep learning based dual stage model for accurate nasogastric tube positioning in chest radiographs by Inseo Park, Gwiseong Moon, Ji Young Hong, Jeongwon Heo, Hongseok Ko, Doohee Lee, Yoon Kim, Woo Jin Kim, Hyun-Soo Choi, Kyoung Min Moon

“…These results underscore its ability to accurately distinguish between correct and incorrect placements, outperforming traditional approaches. …”
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Spring barley variety ‘Format’ by E. G. Filippov, A. A. Dontsova, D. P. Dontsov, E. S. Doroshenko, R. N. Bragin

“…An analysis of the results of environmental tests has shown the ability of the variety ‘Format’ to form high yields regardless of growing conditions.…”
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Do physicians’ children perform differently in medical education? A multi-center field study in China by Ruixi Qin, Jiajia Li, Liangru Zhou, Ruifeng Li

“…Students with direct or collateral intergenerational inheritance demonstrated significantly higher innovation ability ( $$\:{\chi\:}^{2}$$ =12.28, p < 0.05) and medical thinking skills (Coefficient = 9.52,p < 0.05) compared to those without such backgrounds. …”
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Hybrid Machine Learning Model for Predicting Shear Strength of Rock Joints by Daxing Lei, Yaoping Zhang, Zhigang Lu, Hang Lin, Yifan Chen

“…However, traditional machine learning (ML) models often suffer from local optima and limited generalization ability when dealing with complex nonlinear problems, thereby compromising prediction accuracy and stability. …”
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Self-Regulating Electrically Conductive Materials Based on Polyethylene Compositions with UHMWPE and Carbon Black by A. V. Markov, A. S. Chizhov

“…This reduced the undesirable effect of the negative thermal coefficient (NTC) of the electrical resistance. In addition, the heat resistance of the material at elevated temperatures was increased. …”
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Monitoring Air Pollution Using Sentinel-5 Satellite Imagery: A Case Study of Razavi and South Khorasan Provinces by Fatemeh Kafi, Elham Yousefi, Mohammad Ehteram, Khosro Ashrafi

“…To investigate the overall ability of the TRPOPMI sensor to estimate atmospheric pollutants, the coefficient of determination (R²) was used. …”
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Validity and Reliability Evidence of Professional Obsolescence Scale According to Different Test Theories by Sadegül Akbaba Altun, Merve Yıldırım Seheryeli, Şener Büyüköztürk

“…According to the Classical Test Theory, Cronbach Alpha coefficients are between 0.807 and 0.945. The Stratified Alpha coefficient calculated for the whole scale is 0.94. …”
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Key nodes identification in complex networks based on subnetwork feature extraction by Luyuan Gao, Xiaoyang Liu, Chao Liu, Yihao Zhang, Giacomo Fiumara, Pasquale De Meo

“…The problem of detecting key nodes in a network (i.e. nodes with the greatest ability to spread an infection) has been studied extensively in the past. …”
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Convolutional block attention gate-based Unet framework for microaneurysm segmentation using retinal fundus images by C. B. Vanaja, P. Prakasam

“…These findings illustrate the model’s ability to effectively segment the MAs, which is critical for the timely detection and treatment of DR. …”
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Ecological plasticity and resistance of soybean varieties in agroclimatic conditions of the Kaluga region by Tevchenkov A.A., Senichev E.I., Trunov V.V.

“…In addition, the environmental conditions index (Ij) was determined, and plasticity was assessed using the linear regression coefficient (bi). This made it possible to identify the degree of ecological stability of the varieties, as well as their ability to withstand stress factors and adapt to changing conditions. …”
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Optimization of TCN-BiLSTM for dissolved oxygen prediction based on improved sparrow search algorithm by Pei Shi, Mingjie Tang, Quan Wang, Xiaofei Ma

“…Next, the Maximum Information Coefficient (MIC) is applied to quantify the correlation between input features, enabling the identification and selection of key influencing factors. …”
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A Forecasting Approach Combining Self-Organizing Map with Support Vector Regression for Reservoir Inflow during Typhoon Periods by Gwo-Fong Lin, Tsung-Chun Wang, Lu-Hsien Chen

“…To strengthen the forecasting ability of the original support vector machines (SVMs) model, the self-organizing map (SOM) is adopted to group inputs into different clusters in advance of the proposed SOM-SVM model. …”
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Relationship between A Coping Style and Self-Care Activities of Patients with Type 2 Diabetes Mellitus (T2DM) at Endocrinology and Diabetes Center in Al-Basra City: a cross-section... by Saja K. Jassim, Rajja Abed

“…These improvements are called coping mechanisms. The coping ability affects glycemic control of the patient for the long term through possible risks, this affects self-management adherence. …”
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Deep recurrent neural network with fractional addax optimization algorithm for influenza virus host prediction by Shweta Ashish Koparde, Sonali Kothari, Sharad Adsure, Kapil Netaji Vhatkar, Vinod V. Kimbahune

“…The model's performance is evaluated using metrics, such as Matthews's Correlation 36 Coefficient (MCC), F1-Score, and Mean Squared Error (MSE). …”
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Research on Predicting Joint Rotation Angles Through Mechanomyography Signals and the Broad Learning System by Yu Bai, Xiaorong Guan, Huibin Li, Shi Cheng, Rui Zhang, Long He

“…Small contact microphones were employed to collect mechanomyography signals, leveraging their ability to capture vibration signals above 8 Hz, making them ideal for mechanomyography acquisition. …”
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An Investigation of Knee Injury Prevalence and its Mechanism among Premier League Soccer Referees in Iran by Hamid Mahdavi Mohtasham, Shahnaz Shahrbanian

“…The information of knee injuries such as injury history, injury mechanism, and effects of knee symptoms on the ability to perform daily activities and recreational activities was obtained through Knee Outcome Survey (KOS). …”
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