Detection of free cancer cells in peritoneal cavity in patients surgically treated for gastric adenocarcinoma by Kostić Zoran, Ćuk Vladimir, Bokun Radojka, Ignjatović Dragan, Ušaj-Knežević Slavica, Ignjatović Mile

“…Peritoneal lavage cytology was shown to be a useful tool for the detection of the group of patients with greatest risk of peritoneal dissemination. …”
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Influence of Digital Elevation Model Resolution on the Normalized Stream Length–Gradient Index in Intraplate Regions: A Case Study of the Yangsan Fault, Korea by Hyunjee Lim, Sangmin Ha, Sohee Kim, Hee-Cheol Kang, Moon Son

“…The spatial variability of input parameters plays a crucial role in the interpretation of geomorphic indices, with digital elevation models (DEMs) being the primary data source. …”
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The separatrix operational space of next-step fusion experiments: From ASDEX Upgrade data to SPARC scenarios by T. Eich, T. Body, M. Faitsch, O. Grover, M.A. Miller, P. Manz, T. Looby, A.Q. Kuang, A. Redl, M. Reinke, A.J. Creely, D. Battaglia, J. Hillesheim, M. Wigram, J.W. Hughes

“…The separatrix operational space (SepOS) is proposed as a tool for identifying access to the type-I ELM-free quasi-continuous exhaust regime. …”
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Morphological Trait Variations and Flower Color Differences in Wild <i>Crocus</i> Species by Nataša Krstić, Goran Jaćimović, Branka Ljevnaić-Mašić, Sofija Petrović, Željana Prijić, Đorđe Krstić, Borislav Banjac

“…The use of a colorimeter can speed up the identification of species in the field and provides researchers and conservationists with a practical tool.…”
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Fenaminosulf Promotes Growth and Gall Formation in <i>Zizania latifolia</i> Through Modulation of Physiological and Molecular Pathways by Chaohong Ding, Ruifang Ma, Liqiu Wang, Xinyan Lan, Limin Chen, Jinxing Zhu, Lailiang Wang

“…The concentration-dependent effects of FM suggest its potential as a strategic tool for agricultural management, offering a nuanced approach to crop development. …”
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Predicting Performance of Hall Effect Ion Source Using Machine Learning by Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe

“…Herein, a robust machine learning model is introduced that uses a neural network ensemble to predict the performance of Hall effect ion sources based on design parameters such as discharge channel dimensions and magnetic field structure. …”
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eLogUp! A precise, affordable and open-source IoT data logger to scale-up long-term environmental monitoring by Franck Perret, Ilane Cherif, Frédéric Cherqui, Nicolas Walcker, Adrien Barra, Bastien Bourjaillat, Laëtitia Bacot, Oldrich Navratil

“…This makes it a versatile tool for environmental researchers, field practitioners, and citizen science initiatives, providing a scalable and accessible approach to long-term environmental data collection.…”
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Regional irrigation water quality index for the Old Brahmaputra River, Bangladesh: A multivariate and GIS-based spatiotemporal assessment by Md. Touhidul Islam, Akash, Mst. Rimi Khatun, Nusrat Jahan, Md. Rakibul Islam, Deboneel Kundu Partho, Mohammad Golam Kibria, A.K.M. Adham

“…This enhanced IWQI offers a promising tool for seasonally adaptive water management, promoting sustainable agriculture and soil health amidst climate change. …”
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Integrated single-cell and bulk transcriptomic analysis identifies a novel macrophage subtype associated with poor prognosis in breast cancer by Qing Wang, Yushuai Yu, Liqiong Ruan, Mingyao Huang, Wei Chen, Xiaomei Sun, Jun Liu, Zirong Jiang

“…The Macro.RF model provides a robust tool for predicting clinical outcomes and guiding personalized treatment strategies in BC patients.…”
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Assessing the impact of biosecurity compliance on farmworker and livestock health within a one health modeling framework by Arash Arjmand, Majid Bani-Yaghoub, Kiel Corkran, Pranav S. Pandit, Sharif S. Aly

“…The One Health modeling framework developed in this study can also be applied to other zoonotic diseases as a guiding tool for decision making and optimal resource allocation to reduce the likelihood of spillover.…”
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Development and validation of a machine learning model for predicting pulmonary metastasis in hepatocellular carcinoma patients by Gangfeng Zhu, Qiang Yi, Rui Xu, Yi Xie, Siying Chen, Yipeng Song, Yi Xiang, Xiangcai Wang, Li Huang

“…Based on the RF algorithm, we developed a user-friendly, web-based tool to estimate the risk of pulmonary metastasis in patients with HCC. …”
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Predictive value of vaginal lactic acid bacteria changes on occurrence of HR-HPV-infected cervical intraepithelial neoplasia and construction and validation of nomogram model by Ying Huang, Yuliang Shen, Xuemei Wei, Jie Feng, Lin Zhu

“…Results There was no significant difference in the incidence of CIN, baseline data and vaginal lactic acid bacteria parameters between the training set and the verification set (P > 0.05). …”
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ISMIP6-based Antarctic projections to 2100: simulations with the BISICLES ice sheet model by J. F. O'Neill, T. L. Edwards, D. F. Martin, C. Shafer, S. L. Cornford, H. L. Seroussi, S. Nowicki, M. Adhikari, L. J. Gregoire

“…Ice sheet models are the primary tool for projecting future sea level contribution from continental ice sheets. …”
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Management and edaphoclimatic factors that determine soybean top-performing farmers in Brazil by Victor Delino Barasuol Scarton, Ivan Ricardo Carvalho, Christiane de Fátima Colet, Leonardo Cesar Pradebon, Willyan Júnior Adorian Bandeira, Jaqueline Piesanti Sangiovo, Murilo Vieira Loro, José Antonio Gonzalez da Silva

“…Grain yield was analyzed using centered means with partial least squares, followed by linear regression models and t-tests (p < 0.05). Reaction norm parameters were estimated via the Finlay-Wilkinson method, stratified by production region. …”
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Simulation of sediment accumulation for the river watershed using SWAT software: A case study on Ahar Chai river watershed in northwest of Iran by Anis Shafinezhad, Yousef Hasanzadeh, Sayed Saeed Rasinezami

“…This paper presents the results of a study that simulates the sediment routing of the Ahar Chai river using the hydrologic model which calculates the accuracy of using the soil and water assessment tool (SWAT) to simulate the runoff and sediment in watershed areas that could help to predict the amount of sediment in the future. …”
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Application of a New Device for Saccadic Training in Athletes by Angelina Ganebnaya, Aiga Svede, Alina Kucika, Jekaterina Berkova, Alona Purmale, Liga Puhova, Mariya Misri, Svetlana Semjonova, Davids Davis Gailitis, Atis Kovalovs

“…There were larger changes in saccadic parameters for leftward saccades, but no clear changes in saccadic response asymmetry after training. …”
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Empowering recovery: a remote spirometry system and mobile app for monitoring and promoting pulmonary rehabilitation in patients with rib fracture by Ling-wei Kuo, Chih-Yuan Fu, Chien-An Liao, Chien-Hung Liao, Chi-Tung Cheng, Tai-Horng Young, Shih-Ching Kang, Szu-An Chen, Yu-San Tee

“…We used a Restart system to monitor the respiratory parameters of patients. This system included a wireless spirometer and a Healthy Lung mobile application. …”
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Development and validation of a novel public prediction platform for deciduous caries in preschool children: an observational study from Northwest China by Zhidong Zhang, Zhihao Dou, Xu Zhang, Di Wang, Kamenjiang Abudoureheman, Yimin Yan, Fenyan Kang, Wei Zhang, Wenbo Meng, Kailiang Zhang, Zhige Li, Jie Zhang, Bin Liu, Baoping Zhang

“…Conclusions The presented CRA model offers a novel public platform with the potential to serve as an effective tool for the screening and management of deciduous caries at the community level in underdeveloped regions of Northwest China.…”
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Reliability of lateral cephalometric radiographs in the assessment of the upper airway: a systematic review by M. E. Balashova, Z. S. Khabadze, I. A. Voronov, I. N. Bagdasarova, N. N. Fedotova

“…Lateral cephalometric radiographs (LCRs) have been used to assess skull parameters, jaw bones and teeth, the morphology of the upper airway, the severity of airways obstruction and adenoid size. …”
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Efficient microaneurysm segmentation in retinal images via a lightweight Attention U-Net for early DR diagnosis by Muhammad Zeeshan Tahir, Xingzheng Lyu, Muhammad Nasir, Wengan He, Abeer Aljohani, Sanyuan Zhang

“…The increasing number of diabetic patients, coupled with a shortage of ophthalmologists, highlights the urgent need for automated screening tools for early DR diagnosis. Among the earliest and most detectable signs of DR are microaneurysms (MAs). …”
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