Effectiveness of a bedaquiline, linezolid, clofazimine ‘core’ for multidrug-resistant TB by C. Zeng, M.A. Hernán, L. Trevisi, S. Sauer, C.D. Mitnick, C. Hewison, M. Bastard, P. Khan, K.J. Seung, M.L. Rich, S. Law, M. Kikvidze, O. Kirakosyan, A. Miankou, P. Thit, S. Mamsa, A. Janmohamed, N. Melikyan, S. Ahmed, D. Vargas, A.B. Binegdie, K. Temirova, L. Oyewusi, K. Philippe, S.C. Vilbrun, U. Khan, H. Huerga, M.F. Franke, on behalf of the endTB Observational Study Team

Get full text

Portal vein thrombosis and Esophageal-Gastric variceal bleeding in cirrhosis: shared risk factors and causal relationship by Chanchan Lin, Yisen Huang

“…Methods A retrospective analysis was conducted on data from 1,223 patients diagnosed with cirrhosis at the First Hospital of Quanzhou from January 1, 2014, to December 31, 2023. …”
Get full text

Neural Network-Driven Forward Modeling of Multipole Mode Wave Dispersion and Its Field Applications by ZHENG Kaiyin, SU Yuanda, ZHANG Hengjian, GU Xihao, LI Shengqing, ZHUANG Chunxi, TANG Xiaoming

Get full text

NEURAL NETWORK MODEL OF DIAGNOSTICS OF STAGES OF DEVELOPING CORPORATE BANKRUPTCY by S. A. Gorbatkov, S. A. Farkhieva

“…The study was conducted on the basis of neural network modelling and system analysis methods, methods of decision-making theory, a solution of inverse problems of interpretation, i.e. extraction of new knowledge from data. …”
Get full text

Hyperoxia for sepsis and development of acute lung injury with increased mortality by Kazuma Yamakawa, Toshikazu Abe, Daizoh Saitoh, Hiroshi Ogura, Seitaro Fujishima, Ryo Yamamoto, Junichi Sasaki, Satoshi Gando

“…The in-hospital all-cause mortality rates of patients with and without hyperoxia were 14 (29.2%) and 90 (17.6%), respectively. Inverse probability weighting analyses with propensity scores revealed the association between hyperoxia and increased in-hospital mortality rate (28.8% vs 18.8%; adjusted OR 1.75 (1.03 to 2.97); p=0.038), adjusting for patient demographics, comorbidities, site of infection, severity of infection, haemodynamic and respiratory status, laboratory data and location of patient at infection development. …”
Get full text

The Data-Driven Performance Prediction of Lattice Structures: The State-of-the-Art in Properties, Future Trends, and Challenges by Siyuan Yang, Ning Dai, Qianfeng Cao

“…The current applications of performance-prediction methods, which are data-driven and related to material properties, structural properties, and performance under conditions of coupled multi-physical fields, are analyzed, and this analysis further extends to the data-driven methods in relation to their prediction of lattice structure functionality. …”
Get full text

Learning based lower limb joint kinematic estimation using open source IMU data by Benjamin Hur, Sunin Baek, Inseung Kang, Daekyum Kim

“…While deep learning methods avoid sensor drift, extensive calibration, and complex setup procedures, they require substantial data. To meet this demand, we leveraged an open-source dataset to develop and evaluate three training approaches. …”
Get full text

Revisiting Financial Inclusion: Does Socio-economic Development Matter? by Ayushi Raichoudhury

“…Data analysis exemplified that the level of financial inclusion was directly related to per-capita income, household amenities, literacy and awareness of Pradhan Mantri Jan Dhan Yojana (PMJDY) and inversely to the distance from the bank (beyond 3 km). …”
Get full text

Quantitative Evaluation of Digital Economy Policies in the Tourism Industry Using the TF-IDF and PMC Index Model by Yu Xia

“…With the acceleration of globalization, the development of the tourism industry increasingly relies on cross-border collaboration, and the digital economy can provide new opportunities for the tourism industry and promote the global application of new tourism productivity. …”
Get full text

Fractal–Fractional Synergy in Geo-Energy Systems: A Multiscale Framework for Stress Field Characterization and Fracture Network Evolution Modeling by Qiqiang Ren, Tianhao Gao, Rongtao Jiang, Jin Wang, Mengping Li, Jianwei Feng, He Du

“…The methodology combines fractal characterization of rock mechanical parameters with fractional-order stress gradient modeling, validated through integrated analysis of core testing, well logging, and seismic inversion data. …”
Get full text

Soil Salinity Detection and Mapping by Multi-Temporal Landsat Data: Zaghouan Case Study (Tunisia) by Karem Saad, Amjad Kallel, Fabio Castaldi, Thouraya Sahli Chahed

“…Soil salinity modeling using Landsat-8 OLI data revealed that the SI-5 index provided the most accurate predictions, with an R² of 0.67 and an RMSE of 0.12 dS/m. …”
Get full text

Assessment of hydrological loading displacement from GNSS and GRACE data using deep learning algorithms by Changshou Wei, Maosheng Zhou, Zhixing Du, Lijing Han, Hao Gao

“…Accurate assessment of the effects of terrestrial water loading displacement (TWLD) is of considerable importance for precise geodetic observations, as well as for the establishment and maintenance of high-precision dynamic reference frames. Furthermore, the development of TWLD model that integrates GRACE and GNSS data provides valuable data support for the higher-precision inversion of changes in terrestrial water storage.…”
Get full text

Monitoring and Evaluation of High Temperature and Heat Damage of Summer Maize Based on Remote Sensing Data by Yang Lei, Han Lijuan, Song Jinling, Li Sen

“…Combined with MOD/MYD11A1 land surface temperature products and ground measured temperature data, based on linear correlation between land surface temperature and air temperature, a method of combining multiple stepwise regression and principal component analysis is used to construct a high-temperature damage evaluation model for the Huang-Huai-Hai summer maize production area. …”
Get full text

CRYPTOGRAPHIC KEY IMPROVED PRIVACY UNDER THE CONDITIONS OF SOME OF CRYPTOGRAPHIC KEY VALUE DATA LEAK by U. F. Holikau, V. L. Pivovarov

“…One of the possible methods of obtaining tagged bits based on a random and independent inversion of a generated key sequence by the subscribers A and B and followed by the analysis of parities pairs of bits is analyzed. …”
Get full text

Monitoring water quality parameters using multi-source data-driven machine learning models by Yubo Zhao, Mo Chen, Jinyu He, Yanping Ma

“…Remote sensing technology, as an effective monitoring tool, provided real-time water quality data. Currently, most research primarily relied on reflectance analysis of remote sensing data, often overlooking the impact of environmental factors on aquatic environments. …”
Get full text

Regional-scale precision mapping of cotton suitability using UAV and satellite data in arid environments by Jianqiang He, Yonglin Jia, Yi Li, Asim Biswas, Hao Feng, Qiang Yu, Shufang Wu, Guang Yang, Kadambot.H.M. Siddique

“…Reflectivity corrections in Sentinel-2A data notably improved RF model inversion accuracy (R² gains of 0.114–0.384). (3) Suitability Analysis: The cotton suitability index maps for 2022 and 2023 indicated that most fields in Tumushuke (TMSK) were moderately suitable for cotton growth, although some areas were unsuitable. …”
Get full text

Uncertainty Quantification of Geophysical and Hydrologic Parameters Estimated From Borehole Nuclear Magnetic Resonance Data by Burke J. Minsley, Stephanie N. Phillips, Stephanie R. James

“…Here, a Bayesian Markov chain Monte Carlo (McMC) approach for analyzing bNMR data is developed that allows for comprehensive uncertainty quantification of NMR parameters and derived hydrologic properties. …”
Get full text

Predictions of Spartina alterniflora leaf functional traits based on hyperspectral data and machine learning models by Wei Li, Xueyan Zuo, Zhijun Liu, Leichao Nie, Huazhe Li, Junjie Wang, Zhiguo Dou, Yang Cai, Xiajie Zhai, Lijuan Cui

“…Here, we examined the relationship between 11 leaf functional traits of S. alterniflora and hyperspectral data and investigated the feature bands through importance score analysis. …”
Get full text

Assessing financial convergence in developing countries: The case of D-8 countries by Mervan Selcuk, Mehmet Asutay

Get full text

A comparative study of interpolation methods for the development of ore distribution maps by Mahinaz M. Shawky

Get full text