Nanomedicines Targeting Metabolic Pathways in the Tumor Microenvironment: Future Perspectives and the Role of AI by Shuai Fan, Wenyu Wang, Wenbo Che, Yicheng Xu, Chuan Jin, Lei Dong, Qin Xia

“…The traditional trial-and-error process is relatively inefficient. Artificial intelligence (AI) can integrate big data to evaluate the accumulation and delivery efficiency of nanomedicines, thereby assisting in the design of nanodrugs. …”
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Estimation of Biophysical Parameters of Forage Cactus Under Different Agricultural Systems Through Vegetation Indices and Machine Learning Using RGB Images Acquired with Unmanned A... by Gabriel Italo Novaes da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim, Wagner Martins dos Santos, Alan Cézar Bezerra, Elisiane Alba, Marcos Vinícius da Silva, Jhon Lennon Bezerra da Silva, Luciana Sandra Bastos de Souza, Gabriel Thales Barboza Marinho, Abelardo Antônio de Assunção Montenegro, Thieres George Freire da Silva

“…The results showed potential in the application of machine learning with RGB images for predictive analysis of the biophysical parameters of forage cactus.…”
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Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration by Houda Lamane, Latifa Mouhir, Rachid Moussadek, Bouamar Baghdad, Ozgur Kisi, Ali El Bilali

“…Further description and application of the framework are provided based on a case study of the Bouregreg watershed. …”
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Fetal cardiac function in pregnancy affected by congenital heart disease: protocol for a multicentre prospective cohort study by Anna Erenbourg, Tracie Barber, Vera Cecotti, Stefano Faiola, Ilaria Fantasia, Tamara Stampaljia, Hagai Avnet, Beata Radzymińska-Chruściel, Neama Meriki, Alec Welsh

“…We seek to evaluate whether application of automated techniques to a cohort with fetal pathology could overcome these factors. …”
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Alterations in tidal volume over recording time during pulmonary function testing by barometric whole-body plethysmography in client-owned cats: a multicenter retrospective investi... by Wei-Tao Chang, Laín García-Guasch, Hannah Gareis, Bianka Schulz, Yoshiki Yamaya, Pei-Ying Lo, Chin-Hao Chang, Hui-Wen Chen, Chung-Hui Lin

“…Abstract Background Pulmonary function assessment in small animal clinical patients typically relies on tidal breathing analysis, such as placing cats in a barometric whole-body plethysmography (BWBP) chamber. Despite its wide application in various clinical scenarios, the recording time for BWBP has not been standardized. …”
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Determination of Tungsten, Molybdenum and 5 Associated Elements in Tungsten-Molybdenum Ore by Inductively Coupled Plasma-Optical Emission Spectrometry with Direct Sintering by Zhou SONG, Yiping JI, Weihua WANG, Shaomin FANG, Jie YANG, Huoyan LUO, Yuqi ZHOU

“…At the same time, it can effectively reduce the emission of acid gas pollutants in the sample analysis and testing process and has a good application prospect. The results provide basic support for the development and comprehensive utilization of strategic tungsten-molybdenum deposit resources.…”
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PRODUCTION PROSTHETIC NOSE FOR CAD / CAM TECHNOLOGY: ADVANTAGES AND DISADVANTAGES by L.B. Yerys

“…After plaster creates pressure on the soft tissues of the face, the resulting model has an error that no longer provides a snug fit of the prosthesis to the skin. …”
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An edge streaming data processing framework for autonomous driving by Hang Zhao, LinBin Yao, ZhiXin Zeng, DongHua Li, JinLiang Xie, WeiLing Zhu, Jie Tang

“…Therefore, it can realise the monitor and prediction of the data flow changes of the autonomous driving vehicle sensor data in geographical coverage of edge computing node area, meanwhile minimise the end-to-end latency but satisfy the application throughput requirements. The experiments show that it can predict short-term traffic with no more than 4% relative error in a whole day. …”
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Effectiveness of a transfluthrin emanator and insecticide-treated barrier screen in reducing Anopheles biting in a temporary shelter in Sumatra, Indonesia by Timothy A. Burton, Lepa Syahrani, Dendi Hadi Permana, Ismail Ekoprayitno Rozi, Rifqi Risandi, Siti Zubaidah, Syarifah Zulfah, Ma’as M. Maloha, Rusli Efendi, Maria Kristiana, Puji B. S. Asih, Din Syafruddin, Neil F. Lobo

“…In Jambi Province, Sumatra, Indonesia, local indigenous populations sleep under temporary tarpaulin-roofed shelters, complicating the use of bed nets and preventing the application of indoor residual spraying. Two pyrethroid-based interventions were tested alongside a no-intervention control in the field using a Latin-square design. …”
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A Prediction Model of Stable Warfarin Doses in Patients After Mechanical Heart Valve Replacement Based on a Machine Learning Algorithm by Bowen Guo, Cong Chen, Junhang Jia, Jubing Zheng, Yue Song, Taoshuai Liu, Kui Zhang, Yang Li, Ran Dong

“…The performance of these algorithms was evaluated and compared using R-squared (R2), mean absolute error (MAE), and ideal prediction percentage to identify the optimal algorithm for predicting the stable warfarin dose and verify its clinical significance. …”
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Postpartum maternal bonding scale: Development and validation in a low- and middle- income country setting. by Bushra Khan, Seyi Soremekun, Waqas Hameed, Bilal Iqbal Avan

“…The bifactor model showed the best fit (comparative fit index =  0.951; root mean square error of approximation =  0.066; standardized root mean square residual =  0.045). …”
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Performance evaluation and improvement of ICESat-2 and GEDI forest canopy height retrievals in Northeast China by Cancan Yang, Daoli Peng, Nan Zhang, Mingjie Chen, Weisheng Zeng, Xiangnan Sun, Longwei Li, Weitao Li

“…Low data accuracy limits the broader application of these systems. Moreover, the canopy height detection abilities of the two spaceborne lidar systems in the ecologically important forests of Northeast China require further investigation. …”
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A combined data assimilation and deep learning approach for continuous spatio-temporal SWE reconstruction from sparse ground tracks by Matteo Guidicelli, Kristoffer Aalstad, Désirée Treichler, Nadine Salzmann

“…Even assimilating only one SWE observation during the year (combined with satellite-based melt-out date estimates) produces satisfying results when evaluating the IES-FNN SWE reconstructions on independent dates and smaller (<4 km2) areas: mean absolute error of 86 mm (78 mm) at Schürlialp (Latschüelfurgga) for average SWE of 180 mm (254 mm), and average spatial linear correlation with the reference SWE of 0.51 (0.48). …”
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GaoFen-3 Mission for InSAR Time Series Analysis: A Quantitative Evaluation by Yuxiao Qin, Qingjun Zhang, Wen Hong, Bing Han, Fangfang Li, Jiaxin Shen, Ke Wang, Mengge Wang

“…Since its launch in 2016, GF-3 has achieved remarkable success in various SAR application fields. However, till this date, research and applications focusing on SAR interferometry (InSAR) time series analysis have not received enough attention. …”
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Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization by Senyefia Bosson-Amedenu, Emmanuel Ayitey, Francis Ayiah-Mensah, Luyton Asare

“…Model performance was evaluated using Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Mean Absolute Error (MAE), and Mean Squared Error (MSE) metrics across three sample sizes (25%, 50%, and 75%). …”
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Improved epigenetic age prediction models by combining sex chromosome and autosomal markers by Zhong Wan, Peter Henneman, Huub C. J. Hoefsloot, Ate D. Kloosterman, Pernette J. Verschure

“…This study represents a step forward towards the application of epigenetic autosomal and sex chromosomal combined age prediction models for aging and forensic research. …”
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Predicting changes of incisor and facial profile following orthodontic treatment: a machine learning approach by Jing Peng, Yan Zhang, Mengyu Zheng, Yanyan Wu, Guizhen Deng, Jun Lyu, Jianming Chen

“…Changes of U1-SN, LI-MP, Z angle and facial convex angle were set as continuous outcomes, mean square error (MSE), mean absolute error (MAE) and coefficient of determination (R²) were used as evaluation index. …”
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Automated precision weighing: Leveraging 2D video feature analysis and machine learning for live body weight estimation of broiler chickens by Mairead Campbell, Paul Miller, Katerine Díaz-Chito, Sean Irvine, Mary Baxter, Jesús Martínez Del Rincón, Xin Hong, Niall McLaughlin, Thianantha Arumugam, Niamh O'Connell

“…In experiment 2, the model showed the poorest performance in 5-day old birds with a mean relative error of 12.1 ± 7.9 %. Overall, the model could estimate the weight of a broiler chicken with a mean relative error of 7.0 ± 5.8 %. …”
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Tailoring innovative adsorbents from discarded weathered basalt waste by calcination and activated carbon impregnation for efficient Fe (III) and Zn (II) remediation by Ahmed M. Zayed, Modather F. Hussein, Bahaa S. Metwally, Hussain Shendy, Mahmoud M. Abdelsatar, Mahmoud F. Mubarak, Atef Mohamed Gad Mohamed, Ahmed M. A. Abdel Gawad, Mahmoud S. M. Abdel Wahed, Mostafa A. Masoud

“…Eventually, these findings highlight the sustainable potential of repurposing RWB waste and its calcined derivatives for water remediation applications.…”
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A New Generation of Hydrological Condition Simulator Employing Physical Models and Satellite‐Based Meteorological Data by Wenchao Ma, Kenshi Hibino, Kosuke Yamamoto, Misako Kachi, Riko Oki, Haruya Yoshikawa, Kei Yoshimura

“…For river discharge, the correlation coefficient ranged from 0.494 to 0.519, the root mean square error ranged from 3,730 m3/s to 6,330 m3/s, and the mean absolute error ranged from 3,000 m3/s to 5,160 m3/s among the different forcing versions. …”
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