Meloidogyne incognita parasitism is affected by Pseudomonas protegens CHA0 and its effects on tomato-associated microbiota by Olivera Topalović, Enoch Narh Kudjordjie, Sanea Sheikh, Gnimavo Bonaventure Kenou, Frederik Bak, Flemming Ekelund, Mette Vestergård

“…Furthermore, the rhizosphere of nematode-inoculated plants was enriched with Flavobacterium, Hydrogenophaga and Variovorax, which are genera generally associated with nematode-suppressive soils. …”
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Exploration of the Ignition Delay Time of RP-3 Fuel Using the Artificial Bee Colony Algorithm in a Machine Learning Framework by Wenbo Liu, Zhirui Liu, Hongan Ma

“…To improve training efficiency, the temperature feature was linearized using a 1000/T transformation. …”
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Knowledge Mapping for the University: Analysis of Approaches and an Example of Its Use by T. A. Gavrilova, A. V. Kuznetsova, E. Y. Greenberg

“…Knowledge management helps educational and research organizations to solve the problems of managing intellectual capital, gain a competitive advantage, improve management efficiency, and reduce risks caused by the concentration of knowledge among a small number of experts. …”
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FUNCTIONAL STATE OF THE MASTICATORY MUSCLES OF PATIENTS WITH DEFECTS OF DENTITION, WHICH ARE COMPLICATED BY DENTOALVEOLAR DEFORMITIES by O. V. Bida, Yu. I. Zabuha

“…The jaw muscles on both sides generally operate inefficiently, which ultimately can lead to the progression of morphological abnormalities. …”
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Tomato Leaf Disease Identification Framework FCMNet Based on Multimodal Fusion by Siming Deng, Jiale Zhu, Yang Hu, Mingfang He, Yonglin Xia

“…Furthermore, to enhance both training efficiency and parameter optimization capabilities of the model, we introduce a Multi-strategy Improved Coati Optimization Algorithm (MSCOA). …”
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Characteristics of sleep quality and influencing factors in patients with burning mouth syndrome: a preliminary analysis by LU Chenghui, YANG Chenglong, ZHOU Xuan, JIANG Xinxiang, TANG Guoyao

“…In the PSQI subscale analysis, patients with BMS exhibited increased sleep latency, decreased sleep duration, and lower sleep efficiency compared to healthy controls (<i>P</i>&lt;0.05). …”
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AER U-Net: attention-enhanced multi-scale residual U-Net structure for water body segmentation using Sentinel-2 satellite images by Naga Surekha Jonnala, Shaik Siraaj, Y. Prastuti, P. Chinnababu, B. Praveen babu, Shonak Bansal, Prashant Upadhyaya, Krishna Prakash, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

“…Residual blocks improve feature learning efficiency while addressing the vanishing gradient issue through the inclusion of skip connections. …”
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Artificial Intelligence in Biomedical Sciences: A Scoping Review by Rasha Abu-El-Ruz, Ali Hasan, Dima Hijazi, Ovelia Masoud, Atiyeh M. Abdallah, Susu M. Zughaier, Maha Al-Asmakh, Maha Al-Asmakh

“…Limitations include; model complexity, limited applicability, and algorithm robustness.ConclusionAI has generally been under characterized in the biomedical sciences due to variability in AI models, disciplines, and perspectives of applicability.…”
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Intelligent algorithm-based model for predicting mass transfer performance in CO2 absorption within a rotating packed bed by Wei Zhang, Hao Chen, Ke Huang, Xing Shu, Cheng Fu, Bin Huang

“…A comparative analysis with three empirical models, a multiple nonlinear regression model and a standard LSSVM model further illustrates the superior predictive accuracy and generalization ability of the proposed intelligent models. …”
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Effects of NaCl stress on leaf physiology and photosynthetic indexes of four apple rootstocks by WANG Zhuli, JIN Xilige, LI Wensheng, ZHANG Ping

“…The activities of SOD, POD, and CAT in the four rootstocks generally showed an initial increase followed by a decline. …”
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Workplace violence in Italian healthcare organizations: A multicenter survey on prevention measures and incident reporting by Jessika CAMATTI, Francesco CHIRICO, Franco PUGLIESE, Mario GIACOMAZZI, Piero BORGIA, Anna Maria MINICUCCI, Nicola PINELLI, Eva COLOMBO, Giovanni MIGLIORE

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Estimating CO2 emissions from international medical electives: a literature review and quantitative analysis by Luke Coakham, Nihal Sogandji, Amy Stuart, Magnus Macleod, Faris Khan, Amina Ali, Christine Agbenu, Yuhui Zhou, Martin Tam, Edward Lau, Arthur Hibble, James N Smith, Anmol Arora, Charlotte Tulinius

“…Our bespoke calculations, which generally agree with the results from established tools, reveal that CO2 emissions from international travel for electives are substantial, compared to the average annual CO2 emissions of 7,000 kg per person in the UK. …”
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Impact of Mahalanobis-Taguchi System on Health Performance Among Academicians by Nur Aisyah Mardhiah Halim, Mohd Yazid Abu, Nor Suhadah Razali, Nurul Haziyani Aris, Emilia Sari, Nur Najmiyah Jaafar, Ahmad Shahrizan Abdul Ghani, Faizir Ramlie, Wan Zuki Azman Wan Muhamad, Nolia Harudin

“…Health performance generally refers to the effectiveness and efficiency of individual or population health outcomes and behaviors. …”
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Learning EEG Representations With Weighted Convolutional Siamese Network: A Large Multi-Session Post-Stroke Rehabilitation Study by Shuailei Zhang, Kai Keng Ang, Dezhi Zheng, Qianxin Hui, Xinlei Chen, Yang Li, Ning Tang, Effie Chew, Rosary Yuting Lim, Cuntai Guan

“…To enhance training efficiency and algorithm performance, a temporal-spectral distance weighted sampling method is proposed to select more informative input samples. …”
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Deep dive into hydrologic simulations at global scale: harnessing the power of deep learning and physics-informed differentiable models (<i>δ</i>HBV-globe1.0-hydroDL) by D. Feng, D. Feng, D. Feng, H. Beck, J. de Bruijn, J. de Bruijn, R. K. Sahu, Y. Satoh, Y. Wada, J. Liu, M. Pan, K. Lawson, C. Shen

“…Moreover, regionalized differentiable models demonstrated stronger spatial generalization ability (median KGE 0.64) than a traditional parameter regionalization approach (median KGE 0.46) and even LSTM for ungauged region tests across continents. …”
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Development and validation of soil test crop response model for beetroot (Beta vulgaris) grown in ultisols of India by Ramasamy Arulmani, Ramasamy Arulmani, Kuppayevalasu Malayappagounder Sellamuthu, Kuppayevalasu Malayappagounder Sellamuthu, Subramaniam Maragatham, Subramaniam Maragatham, Alargarsamy Senthil, Alargarsamy Senthil, Seenapuram Palaniswami Thamaraiselvi, Seenapuram Palaniswami Thamaraiselvi, Palaniappan Malathi, Palaniappan Malathi, Govindaraja Sridevi, Govindaraja Sridevi

“…Soil Test Crop Response (STCR), a combined plant nutrient management system that enables to develop fertilizer prescription equations for balanced crop nutrition, higher yield, profitability, and better nutrient efficiency. Field trial was carried out on Typic Haplohmult soil of Nilgiris, Tamil Nadu during 2023-2024 by Implementing an Inductive combined with a targeted yield model. …”
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Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture by Mo Zhang, Yong Ge, Jianghao Wang

“…Random forests (RF) and generalized linear model (GLM) were used to downscale surface soil moisture (0–5 cm) from 36-km Soil Moisture Active Passive satellite products to 1 km across the Qinghai-Tibet Plateau. …”
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Biochar effects on durum wheat (Triticum durum) under ambient and elevated atmospheric CO2 by Lorenzo Brilli, Franz-Werner Badeck, Lorenzo Genesio, Silvia Baronti, Fulvia Rizza, Clara Fares, Luigi Cattivelli, Franco Miglietta, Anita Maienza, Alessandro Zaldei, Federica Camin, Rosella Motzo, Piero Toscano

“…Wheat has a pivotal role in food chains and human diet, and the understanding of its productive and qualitative performance under elevated CO2 (e[CO2]) is therefore a primary research target. While e[CO2] generally boosts wheat yield and biomass, major concerns remain about the impact on qualitative traits. …”
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Development and characterization of gold nanoparticle-based colorimetric sensing assay functionalized with L-cysteine for the detection of calcium carbide in ripened mango and bana... by Aishwarya Dixit, Sonam Sonwal, Ashutosh Upadhyay, Vivek K. Bajpai, Yun Suk Huh, Shruti Shukla

“…Calcium carbide (CaC2) is generally used as an artificial ripening agent in the agricultural and food sectors but has been prohibited due to its negative impacts on the environment and human. …”
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Identification of sweetpotato virus disease-infected leaves from field images using deep learning by Ziyu Ding, Fanguo Zeng, Haifeng Li, Jianyu Zheng, Junzhi Chen, Biao Chen, Wenshan Zhong, Xuantian Li, Zhangying Wang, Lifei Huang, Xuejun Yue, Xuejun Yue

“…Current diagnostic methods are either costly or labor-intensive, limiting both efficiency and scalability.MethodsThe segmentation algorithm proposed in this study can rapidly and accurately identify SPVD lesions from field-captured photos of sweetpotato leaves. …”
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