Review
Chemistry, Analytical
Alfonso Maria Ponsiglione, Carlo Cosentino, Giuseppe Cesarelli, Francesco Amato, Maria Romano
Summary: The current field of electronic fetal monitoring (EFM) presents various methods for processing and analyzing FHR signals, including traditional time and frequency domain analysis, as well as less conventional nonlinear techniques. The emerging role of Artificial Intelligence tools, specifically Artificial Neural Networks, represents the future direction of EFM, with a focus on their application in the analysis of accelerations in FHR signals.
Article
Energy & Fuels
Mohammad Zeyghami, Mohammad Taghizadeh Sarvestani
Summary: The main objective of net pay determination is to exclude non-reservoir intervals so that better results are obtained in reservoir characterization, hydrocarbon in-place calculations, and dynamic flow simulation. This study presents different methods for net pay determination, their strengths, limitations, and input data, along with a new procedure. The proposed methodology considers both rock and fluid properties and validates the results.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2023)
Article
Chemistry, Analytical
Weiyi Wen, Ping Xu, Haiping Xiang, Mengyi Wen, Xuemin Ye, Chu Chu, Shengqiang Tong
Summary: In this study, a comprehensive two-dimensional countercurrent chromatography (CCC) combined with gas chromatography (GC) was used to characterize the chemical constituents of Artemisia argyi essential oil and evaluate the orthogonality of the 2D chromatographic system. A solvent system composed of n-hexane/acetonitrile/methanol (2:2:1, v/v/v) was selected for the first dimensional separation and all CCC fractions were analyzed by GC. A 2D contour plot was created to visualize the chemical compositions. A total of 1392 peaks were obtained through the comprehensive 2D CCC x GC separation and high spatial coverage and low linear correlation coefficient were achieved. Moreover, all compounds were identified by GC-MS. The obtained 2D contour plot could be divided into six zones representing different component groups, which could be used to identify and predict the structure of unknown compounds in Artemisia argyi essential oil for comprehensive characterization.
ANALYTICA CHIMICA ACTA
(2023)
Article
Food Science & Technology
Ying Zhang, Yanyan Yang, Hui Ju, Xiangqin He, Pin Sun, Yu Tian, Panyu Yang, Xiao-Xia Song, Tao Yu, Zhirong Jiang
Summary: This study investigated the expression pattern of circRNAs in congenital heart disease (CHD) induced by formaldehyde exposure and identified potential signaling pathways involved in the pathogenesis. The results suggest that circRNAs may play a crucial role in the development of CHD.
FOOD AND CHEMICAL TOXICOLOGY
(2022)
Article
Computer Science, Information Systems
Jaba Deva Krupa Abel, Samiappan Dhanalakshmi, R. Kumar
Summary: Despite the rapid growth in the field of adult ECG signal processing and monitoring systems, the analysis of fetal ECG signals lags behind and requires attention. Non-invasive fetal Electrocardiography is the safest method for monitoring fetal health by processing abdominal ECG (AECG) signals acquired by placing electrodes on the mother's abdomen. The primary challenge is the low signal-to-noise ratio of the recorded signal due to the dominant maternal ECG and other interferences present in the AECG signal. This paper provides an extensive review of existing techniques for extracting fetal ECG signals from AECG signals, including modeling methods, challenges with electrode placements, morphological analysis, and evaluation metrics.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Review
Computer Science, Interdisciplinary Applications
Akshay Juneja, Vijay Kumar, Sunil Kumar Singla
Summary: The visibility of drivers is significantly reduced by atmospheric pollutants such as mist, fog, smog, smoke, and haze, leading to the failure of computer vision applications. Image desmogging techniques play a vital role in enhancing the performance of visibility restoration applications and have drawn the interest of researchers. This article provides an overview of recent advances in using desmogging architectures for visibility restoration and presents a general methodology for designing a desmogging model. It also reviews existing desmogging techniques and their quality metrics, software, and hardware specifications, as well as the applications and significance of these algorithms. The challenges and future scope of desmogging techniques are also discussed.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2023)
Review
Computer Science, Interdisciplinary Applications
Yunliang Qi, Zhen Yang, Wenhao Sun, Meng Lou, Jing Lian, Wenwei Zhao, Xiangyu Deng, Yide Ma
Summary: This paper surveyed the development of image enhancement algorithms, discussing the challenges, merits, and disadvantages of various algorithms, as well as analyzing the future development trends.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2022)
Article
Multidisciplinary Sciences
William E. Myles, Sally A. McFadden
Summary: This study improved an existing method and developed two new approaches to assess electrical coupling between retinal neurons. Methods 2 and 3 showed more sensitivity and generalizability compared to Method 1, allowing for detailed evaluation and direct comparison between different cell networks.
Review
Telecommunications
R. Kumar, M. Sharma, L. Matta, P. Kaur, N. Saluja, S. Malhotra, Maninder Singh, Gurpreet Singh Saini, Sajjan Singh
Summary: With the rapid advancements in wireless communication systems, new applications such as IoT, machine-to-machine communication, vehicular communication, and video on demand require high data rates in short-range communication. Traditional antenna systems are not suitable for these applications. UWB-MIMO antennas have proven to be a suitable solution due to their improved capability and reliability in short-range communication. The main challenge in designing UWB-MIMO antennas is reducing the mutual coupling effects among multiple antennas. This paper presents and analyzes various techniques for mutual coupling reduction, including EBG structures, meta-materials, parasitic or slot, and stub structures, neutralization lines, etc.
WIRELESS PERSONAL COMMUNICATIONS
(2023)
Article
Mathematics, Applied
Alessio Spantini, Ricardo Baptista, Youssef Marzouk
Summary: This paper introduces a method for filtering in high-dimensional non-Gaussian state-space models, which utilizes probabilistic graphical models and convex optimization to achieve robust ensemble approximations of the filtering distribution in high dimensions. The proposed method achieves state-of-the-art tracking performance on challenging configurations of the Lorenz-96 model in the chaotic regime.
Article
Environmental Sciences
Fang Xu, Jinghong Liu, Yueming Song, Hui Sun, Xuan Wang
Summary: This paper comprehensively investigates the current research status and development trend of multi-exposure image fusion (MEF) methods. It analyzes the relevant theories and technologies used to construct related models and categorizes and summarizes representative MEF methods. A comparative study is conducted on 18 representative MEF approaches using nine commonly used objective fusion metrics, based on multi-exposure image sequences in static and dynamic scenes. Finally, the key issues of current MEF research are discussed, and a development trend for future research is proposed.
Article
Chemistry, Analytical
Rakesh Chandrakant Prabhu, Arthanareeswari Maruthapillai, Gopal Chandru Senadi, S. Devikala
Summary: This study demonstrates how to simultaneously determine achiral and chiral impurities. By developing a 1D method with shorter runtime and using a simultaneous heart cutting approach, this goal can be efficiently achieved.
MICROCHEMICAL JOURNAL
(2023)
Review
Engineering, Electrical & Electronic
Jesus Felez, Miguel Angel Vaquero-Serrano
Summary: As people flock to urban areas, there is a constant need for a flexible mode of transportation that can accommodate high passenger capacity. Virtual coupling has emerged as a promising solution to increase line capacity and offer more flexible operations. This review of around 200 papers identifies the key research topics in railway-related virtual coupling and serves as a crucial step towards its implementation in future railways. The challenges highlighted include safety, control technology, interlocking, vehicle-to-vehicle communication, cooperative train protection and control, and integrated traffic management.
Article
Chemistry, Analytical
Lapo Renai, Massimo Del Bubba, Saer Samanipour, Rebecca Stafford, Andrea F. G. Gargano
Summary: An online comprehensive LC x LC method hyphenated with HRMS was developed for the non-targeted identification of PFASs in AFFFs, achieving efficient separation and identification.
ANALYTICA CHIMICA ACTA
(2022)
Review
Computer Science, Interdisciplinary Applications
Ritu Gothwal, Shailendra Tiwari, Shivendra Shivani
Summary: This study discusses the significant contributions of data-driven techniques in solving inverse problems in medical image reconstruction (MIR). It provides a detailed survey of MIR and summarizes the latest methods used in MIR.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2022)
Article
Biochemical Research Methods
Amir Prior, Laura Sanchez-Hernandez, Javier Sastre-Torano, Maria Luisa Marina, Gerhardus J. de Jong, Govert W. Somsen
Article
Chemistry, Applied
Laura Sanchez-Hernandez, Mariano Higes, Maria T. Martin, Maria J. Nozal, Jose L. Bernal
FOOD ADDITIVES AND CONTAMINANTS PART A-CHEMISTRY ANALYSIS CONTROL EXPOSURE & RISK ASSESSMENT
(2016)
Article
Biochemical Research Methods
Laura Sanchez-Hernandez, Deamelys Hernandez-Dominguez, Maria T. Martin, Maria J. Nozal, Mariano Higes, Jose L. Bernal Yaguee
JOURNAL OF CHROMATOGRAPHY A
(2016)
Article
Chemistry, Physical
Laura Sanchez-Hernandez, Jose L. Bernal, Maria Jesus del Nozal, Laura Toribio
JOURNAL OF SUPERCRITICAL FLUIDS
(2016)
Review
Biochemical Research Methods
Laura Sanchez-Hernandez, Maria Castro-Puyana, Maria Luisa Marina, Antonio L. Crego
Article
Biochemical Research Methods
Laura Sanchez-Hernandez, Maria Castro-Puyana, Maria Luisa Marina, Antonio L. Crego
Review
Biochemical Research Methods
Laura Sanchez-Hernandez, Miguel Guijarro-Diez, Maria Luisa Marina, Antonio L. Crego
Article
Biochemical Research Methods
Laura Sanchez-Hernandez, Elena Dominguez-Vega, Cristina Montealegre, Maria Castro-Puyana, Maria Luisa Marina, Antonio L. Crego
Article
Agriculture, Multidisciplinary
Laura Sanchez-Hernandez, Patrycja Puchalska, Carmen Garcia-Ruiz, Antonio L. Crego, Maria Luisa Marina
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2010)
Article
Agriculture, Multidisciplinary
Laura Sanchez-Hernandez, Leonor Nozal, Maria Luisa Marina, Antonio L. Crego
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2012)
Article
Agriculture, Multidisciplinary
C. Montealegre, L. Sanchez-Hernandez, A. L. Crego, M. L. Marina
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2013)
Article
Agriculture, Multidisciplinary
Laura Sanchez-Hernandez, Nuria Sierras Serra, Maria Luisa Marina, Antonio L. Crego
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2013)
Article
Biochemical Research Methods
Laura Sanchez-Hernandez, Maria Luisa Marina, Antonio L. Crego
JOURNAL OF CHROMATOGRAPHY A
(2011)
Article
Biochemical Research Methods
Laura Sanchez-Hernandez, Deamelys Hernandez-Dominguez, Jose Bernal, Christian Neusuess, Maria T. Martin, Jose L. Bernal
JOURNAL OF CHROMATOGRAPHY A
(2014)