Data-Driven Monitoring of Probiotic Fermentation in Fruit Juices Using Near-Infrared Spectroscopy and Aquaphotomics: An Innovative Approach to Food Valorization by Lueji Regatieri, Flora Vitalis, Erika Bujna, Quang Duc Nguyen, Zoltan Kovacs

“…Some process-related drawbacks are caused by the pH parameter, which will affect the survival of probiotics during their industrial processing and storage. …”
Get full text

Multi-source data-driven Bayesian network for risk analysis of maritime accidents in the high sea by Xiaotong Qu, Chengbo Wang, Chengbo Wang, Ruijia Zhao, Mingxing Fang, Mingxing Fang, Mingxing Fang, Xinlian Xie

“…Furthermore, DDBN-based scenario analysis proactively identifies high-risk scenarios associated with specific accident types and gross tonnage, offering maritime authorities and operators an enhanced tool for risk assessment. This study provides a scientific basis for formulating targeted HSMA prevention strategies.…”
Get full text

Delineation of mineralization-related geologic structures and lithological units using airborne magnetic and radiometric data by Christian Ordóñez, Stephen Eguba Ekwok, Ahmad Alkhayaat, Pardeep Singh Bains, Rohit Sharma, Raman Kumar, Ankur Kulshreshta, Vikasdeep Singh Mann, Yasser Elmasry

“…Furthermore, the depth estimate involving the Source Parameter Imaging (SPI) and Standard Euler Deconvolution (SED) detected thin sedimentation (≤ 482 m).…”
Get full text

Potential for intramyocardial fibrosis detection based on estimation of extracellular volume using dual-energy computed tomography by E. A. Mershina, D. A. Filatova, M. V. Lisitskaya, E. V. Ryzhkova, R. P. Myasnikov, V. E. Sinitsyn

“…The authors showed that DECT is an important tool for determining ECV, which is of interest for clinical practice.…”
Get full text

Overview of Research Progress and Application Prospects of Thermal Test Chips by Lina Ju, Peng Jiang, Yu Ren, Ruiwen Liu, Yanmei Kong, Shichang Yun, Yuxin Ye, Binbin Jiao, Qixing Hao, Honglin Sun

“…A promising approach is the utilization of TTC (thermal test chip) technology, a novel in situ testing method, as the primary tool for thermal/stress testing and analyses of the internal interfaces of electronic devices and microsystems. …”
Get full text

Investigating the hyperparameter space of deep neural network models for reaction coordinates by Kyohei Kawashima, Takumi Sato, Kei-ichi Okazaki, Kang Kim, Nobuyuki Matubayasi, Toshifumi Mori

“…Deep neural network (DNN) and machine learning approaches have become a powerful tool to find the RC. On the other hand, the hyperparameters that determine the DNN model structure can be highly flexible and are often selected intuitively and in a non-trivial and tedious manner. …”
Get full text

Validation of Wireless Harness for Measuring Respiratory Rate, Heart Rate, and Body Temperature in Hospitalized Dogs by Jessie Warhoe, Sydney Simpson, Benjamin Goldblatt, Kristin Zersen

“…Heart rate was the most consistent parameter across all body types. Overall, the device tracked trends in heart rate and respiratory rate, supporting its potential as a supplemental monitoring tool. …”
Get full text

Exploring f(Q) gravity through model-independent reconstruction with genetic algorithms by Redouane El Ouardi, Amine Bouali, Safae Dahmani, Ahmed Errahmani, Taoufik Ouali

“…Our approach is fully model-independent and does not rely on any a priori assumptions about the cosmological model, providing a powerful tool to describe the accelerated expansion of the Universe.…”
Get full text

Testing General Relativity Using Large-scale Structure Photometric Redshift Surveys and the Cosmic Microwave Background Lensing Effect by Shang Li, Jun-Qing Xia

“…The E _G statistic provides a valuable tool for evaluating the predictions of general relativity (GR) by probing the relationship between gravitational potential and galaxy clustering on cosmological scales within the observable Universe. …”
Get full text

CORRELATION RELATIONSHIPS FOR THE HYPOPLASTIC MODEL FOR FINE GRAINED SOILS by Tomáš Kadlíček, Tomáš Janda, Michal Šejnoha

“…The paper is concerned with our ongoing research effort devoted to the development of reliable computational tools for the calibration of advanced constitutive models of soils. …”
Get full text

Geopolitical, economic risk and the time-varying structure of extreme risk in the carbon emissions trading market by Junlong Mi, Junlong Mi, Xing Yang, Xing Yang, Xing Yang, Feifei Huang, Yufa Xu

“…Amidst global climate challenges, carbon emission trading has become the most important market-based environmental policy tool, attracting widespread attention for mitigating price volatility caused by extreme risks. …”
Get full text

Optimized SVR with nature-inspired algorithms for environmental modelling of mycotoxins in food virtual-water samples by Abdullahi G. Usman, Sagiru Mati, Hanita Daud, Ahmad Abubakar Suleiman, Sani I. Abba, Hijaz Ahmad, Taha Radwan

“…These results demonstrate how machine learning and metaheuristics may be combined to accurately forecast mycotoxin levels, providing a useful tool for regulatory compliance and food safety monitoring. …”
Get full text

High-precision Galaxy Clustering Predictions from Small-volume Hydrodynamical Simulations via Control Variates by Alexandra Doytcheva, Filomela V. Gerou, Johannes U. Lange

“…Cosmological simulations of galaxy formation are an invaluable tool for understanding galaxy formation and its impact on cosmological parameter inference from large-scale structures. …”
Get full text

A comprehensive review of advancements in additive manufacturing for 3D printed medical components using diverse materials by Ravi Kumar, Husain Mehdi, Shallender Singh Bhati, M. Arunkumar, Subhash Mishra, Manoj Kumar Lohumi

“…The versatility of AM has made it an indispensable tool in the biomedical industry, ensuring high precision, reduced costs, and rapid production. …”
Get full text

Development of a Dual-Readout Multicolor Immunoassay for the Rapid Analysis of Isocarbophos in Vegetable and Fruit Samples by Zijian Chen, Wei-Xuan Huang, Hongwu Wang, Meiling Zhang, Kai Chen, Hao Deng

“…Multicolor immunoassay is a powerful tool for rapid analysis without the use of bulky instruments owing to various color conversions, which is suitable for on-site visual analysis for pesticides. …”
Get full text

Predicting Equatorial Spread F at JICAMARCA Sector Via Supervised Machine Learning by Shunzu Gao, Chao Xiong, Hongtao Cai, Qian Pan, Weijia Zhan, Hong Zhang, Yuhao Zheng

“…By using the Shapley Additive exPlanations (SHAP) tool analysis, it shows that the LT is the most influential parameter, and the P10.7 contributes more than the geomagnetic indices, to predict the occurrence of ESF. …”
Get full text

Predicting renal function using fundus photography: role of confounders by Hyun-Woong Park, Hae Ri Kim, Ki Yup Nam, Bum Jun Kim, Taeseen Kang

“…Conclusions Fundus photographs are a valuable tool for screening renal function using deep neural network models, demonstrating the role of noninvasive imaging in medical diagnostics. …”
Get full text

A new statistical model for advanced modeling of cancer disease data

“…This research offers a valuable tool for enhanced decision-making in medical data analysis, positioning the GOBPW distribution as a powerful alternative to traditional statistical models. © 2025 The Authors…”
Get full text

Characteristic Analysis and Optimal Regulation of Primary Frequency Regulation Condition in Low Water Head Area Based on Hydraulic-Mechanical-Electrical Coupling Model of Pumped St... by Cong Lv, Yanhe Xu, Xin Wu, Qing Zhang

“…Pumped storage power station is an important regulating tool for peak load regulation and frequency regulation of the power grid, especially its primary frequency regulation function, which is of profound significance for the safety and stability of the power grid. …”
Get full text

Unlocking the clinical potential of paired inspiratory and expiratory CT scans in the differential diagnosis of cystic lung diseases: A systematic review. by Lucas Gabriel R Pinheiro, Carlos Augusto Treviso, Gabriele Carra Forte, Enrico Mattana Muller, Bruno Hochhegger, Rubens Gabriel Feijó Andrade

“…However, the average reduction in cyst size as a single parameter is not sufficient for further refining diagnostics. …”
Get full text