Detection Method of Effective Tillering of Rice in Field Based on Lightweight Ghost-YOLOv8 and Smart Phone by CUI Jiale, ZENG Xiangfeng, REN Zhengwei, SUN Jian, TANG Chen, YANG Wanneng, SONG Peng

“…Combined with the deep learning model, a high-throughput and low-cost mobile phone App for effective tiller detection in rice was developed to solve the practical problems of effective tiller investigation in rice under field conditions.…”
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Moderate regular physical exercise can help in alleviating the systemic impact of schistosomiasis infection on brain cognitive function by Inssaf Berkiks, Inssaf Berkiks, Nada Abdel Aziz, Nada Abdel Aziz, Nada Abdel Aziz, Blessing Moses, Blessing Moses, Tiroyaone Brombacher, Tiroyaone Brombacher, Frank Brombacher, Frank Brombacher

“…Our findings unveiled that while acute infection did not disrupt simple and complex learning or spatial reference memory, it did induce significant deficits in recall memory—a critical aspect of cognitive function. …”
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Impact of nurturing care educational videos focusing on children with nutritional problems aged 6-23 months on mothers' knowledge and child growth by Fitri Haryanti, Lely Lusmilasari, Sri Hartini, Ayyu Sandhi, Ika Parmawati, Akhmadi Akhmadi, Nisa Nur Hasanah, Fitriana Andarwati, Hani Risnawati, Alissa Nur Pratiwi, Ananda Sekar Kusumawati, Redyta Dwi Cahyani

“…Indonesia has limited research on responsive caregiving and early learning opportunities, especially for children with nutritional challenges. …”
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Prevalence and factors associated with burnout syndrome in resident physicians: A cross-sectional study in Italy by Luca DI GIAMPAOLO, Andrea ROSSETTI, Teresa GALANTI, Simone DE SIO, Luca COPPETA, Hector NIETO, Hiroo WADA, Niu QUIAO, Younes RAMI, Hicham KHABBACHE, Driss AIT ALI, Amelia RIZZO, Kavita BATRA, Murat YILDIRIM, Mahmood BAHRAMIZADEH, Francesco CHIRICO

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Lightweight Daylily Grading and Detection Model Based on Improved YOLOv10 by JIN Xuemeng, LIANG Xiyin, DENG Pengfei

“…AKVanillaNet combines AKConv (adaptive kernel convolution) with VanillaNet's deep learning and shallow inference mechanisms. The second convolutional layer in VanillaNet was replaced with AKConv, and AKConv was merged with standard convolution layers at the end of the training phase to optimize the model for capturing the unique shape characteristics of dried daylilies. …”
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Regional antimicrobial resistance gene flow among the One Health sectors in China by Yuqing Feng, Xin Lu, Jiayong Zhao, Hongmin Li, Jialiang Xu, Zhenpeng Li, Mengyu Wang, Yao Peng, Tian Tian, Gailing Yuan, Yuan Zhang, Jiaqi Liu, Meihong Zhang, A La Teng Zhu La, Geruo Qu, Yujiao Mu, Wanshen Guo, Yongning Wu, Yuyu Zhang, Dexiang Wang, Yongfei Hu, Biao Kan

“…Finally, we showed that machine learning models based on microbiome profiles were effective in predicting the presence of carbapenem-resistant strains, suggesting a valuable approach for AMR surveillance. …”
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Protocol of the TransformUs SecondaryTeachers’ perceptions of the program reach, effectiveness,adoption, implementation and maintenance schools program: a type II hybrid implementa... by Harriet Koorts, Anna Timperio, Jo Salmon, David Revalds Lubans, Gavin Abbott, Nicola D Ridgers, Natalie Lander, Ana María Contardo Ayala, Emiliano Mazzoli

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Extended depth-of-field microscopic imaging for intact histological samples via self-calibrated diplane network by Yuezhi He, Xu Yang, Shiwei Ye, Zonghua Wen, Peng Liu, Hui Li, Feng Xiang, Jiuling Liao, Yizhou Tan, Haoyong Ning, Junjie Zou, Guilu He, Long Zeng, Yanwu Guo, Hui Li, Ying Gu, Bo Wang, Wei Zheng

“…In this study, we propose deep-learning-powered, extended-DOF, dark-field reflectance ultraviolet microscopy (DE-DRUM) for rapid and large-DOF imaging of surgically resected tissues. …”
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Risk factors affecting polygenic score performance across diverse cohorts by Daniel Hui, Scott Dudek, Krzysztof Kiryluk, Theresa L Walunas, Iftikhar J Kullo, Wei-Qi Wei, Hemant Tiwari, Josh F Peterson, Wendy K Chung, Brittney H Davis, Atlas Khan, Leah C Kottyan, Nita A Limdi, Qiping Feng, Megan J Puckelwartz, Chunhua Weng, Johanna L Smith, Elizabeth W Karlson, Regeneron Genetics Center, Penn Medicine BioBank, Gail P Jarvik, Marylyn D Ritchie

“…Given significant and replicable evidence for context-specific PGSBMI performance and effects, we investigated ways to increase model performance taking into account nonlinear effects. Machine learning models (neural networks) increased relative model R2 (mean 23%) across datasets. …”
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Osteopenia Metabolomic Biomarkers for Early Warning of Osteoporosis by Jie Wang, Dandan Yan, Suna Wang, Aihua Zhao, Xuhong Hou, Xiaojiao Zheng, Jingyi Guo, Li Shen, Yuqian Bao, Wei Jia, Xiangtian Yu, Cheng Hu, Zhenlin Zhang

“…A few metabolites were identified as candidate early-warning biomarkers by machine learning analysis, which could indicate bone loss and provide new prevention guidance for osteoporosis.…”
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Xixin Decoction’s novel mechanism for alleviating Alzheimer’s disease cognitive dysfunction by modulating amyloid-β transport across the blood–brain barrier to reduce neuroinflamma... by Chaokai Yang, Enlong Zhao, Hu Zhang, Liqi Duan, Xinyue Han, Hongli Ding, Yan Cheng, Dengkun Wang, Dengkun Wang, Dengkun Wang, Xiaojing Lei, Xiaojing Lei, Xiaojing Lei, Yongchang Diwu, Yongchang Diwu, Yongchang Diwu

“…In vivo studies demonstrated that XXD improved spatial learning and memory abilities in SAMP8 mice, reduced the amount of Evans blue extravasation in brain tissues, modulated the BBB-associated P-gp/ECS axis, RAGE/LRP1 receptor system, as well as MRP2 and Mfsd2a proteins, and decreased the accumulation of Aβ in the brains of SAMP8 mice. …”
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Artificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiographyResearch in context by Jiesuck Park, Jiyeon Kim, Jaeik Jeon, Yeonyee E. Yoon, Yeonggul Jang, Hyunseok Jeong, Youngtaek Hong, Seung-Ah Lee, Hong-Mi Choi, In-Chang Hwang, Goo-Yeong Cho, Hyuk-Jae Chang

“…Methods: We created a dual-pathway AI system for AS evaluation using a nationwide echocardiographic dataset (developmental dataset, n = 8427): 1) a deep learning (DL)-based AS continuum assessment algorithm using limited 2D TTE videos, and 2) automating conventional AS evaluation. …”
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Carbon stock dynamics of forest to oil palm plantation conversion for ecosystem rehabilitation planning by D. Frianto, E. Sutrisno, A. Wahyudi, E. Novriyanti, W.C. Adinugroho, A.S. Yunianto, H. Kurniawan, H. Khotimah, A. Windyoningrum, I.W.S. Dharmawan, H.L. Tata, S. Suharti, H.H. Rachmat, E.M. Lim

“…Data analysis was carried out using Classification and Regression Tree, a decision tree algorithm used in machine learning for guided classification. Furthermore, purposive sampling was utilized to gather socioeconomic data, followed by the implementation of a benefit-cost analysis.FINDINGS: The results revealed significant changes in the land cover within the Kepau Jaya specific purpose forest area over a 24-year period, with forested areas and open areas decreasing by 23.15 hectares per year and 16.94 hectares per year respectively, and oil palm plantation areas expanding by 40.10 hectares per year. …”
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Artificial Intelligence in Science and Society: The Vision of USERN by Tommaso Dorigo, Gary D. Brown, Carlo Casonato, Artemi Cerda, Joseph Ciarrochi, Mauro da Lio, Nicole D'Souza, Nicolas R. Gauger, Steven C. Hayes, Stefan G. Hofmann, Robert Johansson, Marcus Liwicki, Fabien Lotte, Juan J. Nieto, Giulia Olivato, Peter Parnes, George Perry, Alice Plebe, Idupulapati M. Rao, Nima Rezaei, Fredrik Sandin, Andrey Ustyuzhanin, Giorgio Vallortigara, Pietro Vischia, Niloufar Yazdanpanah

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Evaluation of a 90-minute school-based resuscitation course with 340 middle school students – a multicenter intervention study by Josephina Kehlert

“…Background This study aimed to exploratorily evaluate the learning success of a 90-minute resuscitation class taught by recently trained teachers in the German state of Brandenburg before a statewide implementation of these classes.Methods In five public schools, teachers, trained by professional first aid instructors, taught 90-minute resuscitation courses to 340 seventh (7th) grade students. …”
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Editorial by Christian Gütl

“…In a collaboration between researchers form Spain and Ireland, Francisco Dominguez-Mateos, Vincent O’Brien, James Garland, Ryan Furlong, and Daniel Palacios-Alonso present their research on zero-shot learning for sub-discrimination in pre-trained models to differentiate several attributes such as gender, age, and skin tone, without any additional training.Enjoy Reading!…”
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Experience on postmortem minimally invasive tissue sampling to ascertain the cause of death determination in South African children: A case for implementing as standard of care by J du Toit, K Storath, I Dunn, P Makekeng, M Moosa, K Mothibi, N Umuneza, C A Rees, D Blau, S Lala, Y Adam, S Velaphi, M Hale, P Swart, J Wadula, L Mothibi, A Wise, V Baba, P Jaglal, S Mahtab, S Madhi, Z Dangor

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Identification and susceptibility assessment of landslide disasters in the red bed formation along the Nanjian-Jingdong Expressway by Yifan Cao, Zhifang Zhao, Mingchun Wen, Xin Zhao, Dingyi Zhou, Jingyi Qin, Liu Ouyang, Jingyao Cao

“…In combination with optical imagery data, a total of 521 landslide disaster points were identified. (2) In comparison to individual machine learning models, the Stacking demonstrated superior performance, with prediction capabilities and accuracy that surpassed other models. …”
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Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validation by Guiling Wu, Guiling Wu, Sihui Wu, Sihui Wu, Tian Xiong, Tian Xiong, Tian Xiong, You Yao, You Yao, Yu Qiu, Yu Qiu, Yu Qiu, Liheng Meng, Cuihong Chen, Xi Yang, Xi Yang, Xi Yang, Xinghuan Liang, Yingfen Qin

“…Candidate biomarkers were screened using machine learning algorithms combined with 12 cytoHubba algorithms, and a diagnostic model for T2DM-related MAFLD was constructed and evaluated.The CIBERSORT method was used to investigate immune cell infiltration in MAFLD and the immunological significance of central genes. …”
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Integrated Framework and Technical Path for Multi-level Nested Assessment of Landscape Character by Yuncai WANG, Qizhen DONG

“…By combining multi-scale segmentation and spatial clustering techniques of deep learning, a technical path for multi-level nested landscape character assessment is constructed as a new idea for characterizing the local characteristics of landscape at multiple scales.ConclusionIn the process of developing landscape character assessment systems, there have been numerous methodological systems. …”
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