Terahertz Imaging and Sensing for Healthcare: Current Status and Future Perspectives by Mavis Gezimati, Ghanshyam Singh

“…There is a keen interest in the exploration of new generation emitters and detectors due to advancements in innovation of new materials and device processing technologies which have opened up new frontiers in the Terahertz (THz) spectrum. …”
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Simultaneous determination of 9 succinate dehydrogenase inhibitor compounds in vegetables by QuEChERS combined with gas chromatography-tandem mass spectrometry by LIU Jun, LUO Xianyong, CAO Qiaofeng, LI Jilong, ZHANG Bo, CEN Jianbin, LI Shan

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Modeling Estuarine Algal Bloom Dynamics with Satellite Data and Spectral Index-Based Classification by Mayya Podsosonnaya, Maria J. Schreider, Sergei Schreider

“…This can be achieved by implementation of processing algorithms and indices on multi-spectral satellite images. …”
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Building Safer Social Spaces: Addressing Body Shaming with LLMs and Explainable AI by Sajedeh Talebi, Neda Abdolvand

“…These findings advance Natural Language Processing (NLP) for cyberbullying detection, promoting safer social media environments.…”
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Stimulus uncertainty and relative reward rates determine adaptive responding in perceptual decision-making. by Luis de la Cuesta-Ferrer, Christina Koß, Sarah Starosta, Nils Kasties, Daniel Lengersdorf, Frank Jäkel, Maik C Stüttgen

“…The arguably most influential framework for describing the cognitive processes underlying PDM is signal detection theory (SDT). …”
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Genetic Characterization of Escherichia coli O157 Isolated From Human Stool Specimens in Wassit Province of Iraq by Sabah M. Jwied, Mohammed Sh. Jebur

“…In conclusion, prevalence of E. coli O157 in humans remains undiagnosed because there are no traditional O157 detection methods in all our hospitals. Our study showed that the use of molecular methods in the detection can be used to detect STECs which cannot be detected using routine methods. …”
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Causal ECGNet: leveraging causal inference for robust ECG classification in cardiac disorders by Mei Wang, Cong You, Wei Zhang, Zibo Xu, Qi Liang, Qiang Li

“…However, current ECG processing methods often overlook the impact of confounding factors caused by statistical associations, which can compromise classification accuracy, especially in infection-related cardiac conditions. …”
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Alterations of NoGo P300 ERP in schizophrenia in social setting: a hyperscanning study by Máté Fullajtár, Brigitta Kakuszi, István Bitter, Pál Czobor

“…Our findings provide evidence that P300 alterations in schizophrenia can be detected in social setting. The opposite changes in the two groups may be due to disparate reasons: habituation in HCs, whereas the alterations in patients may result from various factors, including deficient habituation and an aberrant processing of stimulus salience in a social setting.…”
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Profile of DHX37 gene defects in human genetic diseases: 46,XY disorders of sex development by Huifang Peng, Wenyuan Peng, Jiali Chen, Keyan Hu, Yingyu Zhang, Yujin Ma, Hongwei Jiang

“…The RNA helicase DHX37 gene is involved in ribosomal biological processes, and linked to human genetic diseases associated with 46,XY disorders of sex development (46,XY DSD) or neurodevelopment. …”
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Automated Fillet Weld Inspection Based on Deep Learning from 2D Images by Ignacio Diaz-Cano, Arturo Morgado-Estevez, José María Rodríguez Corral, Pablo Medina-Coello, Blas Salvador-Dominguez, Miguel Alvarez-Alcon

“…This work presents an automated welding inspection system based on a neural network trained through a series of 2D images of welding seams obtained in the same study. The object detection method follows a geometric deep learning model based on convolutional neural networks. …”
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Multi-sensor fusion and segmentation for autonomous vehicle multi-object tracking using deep Q networks by K. Vinoth, P. Sasikumar

“…Heavy rain, snow, fog, or dust storms can severely limit the car’s sensors’ ability to detect obstacles, pedestrians, and other vehicles, which pose potential safety risks. …”
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DAT: Deep Learning-Based Acceleration-Aware Trajectory Forecasting by Ali Asghar Sharifi, Ali Zoljodi, Masoud Daneshtalab

“…DAT is an end-to-end model that processes sequential sensor data to detect objects and forecasts their future trajectories at each time step. …”
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EXPLORING A NOVEL HEXACO PERSONALITY TRAITS ON TWITTER: AN ENSEMBLE-BASED NLP METHODOLOGY by Tanvi Desai, Divyakant Meva

“…Natural Language Processing (NLP) plays a crucial role in analyzing Twitter data to introduce an automated HEXACO model. …”
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SE-CapsNet: Automated evaluation of plant disease severity based on feature extraction through Squeeze and Excitation (SE) networks and Capsule networks by Shradha Verma, Anuradha Chug, Ravinder P. Singh, Amit P. Singh, Dinesh Singh

“…Diseases in plants have an adverse effect on the quantity of the overall food production as well as the quality of the yield. Early detection, diagnosis and treatment can greatly reduce losses, both economic and ecological, i.e. reduction in the use of agrochemicals due to timely detection of the disease, would help in mitigating the environmental impact. …”
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Multi-View Robust Tensor-Based Subspace Clustering by Esraa M. Al-Sharoa, Mohammad A. Al-Wardat

“…This data needs to be stored, processed and analyzed to understand its nature. Networks or graphs arise to model real-world systems in the different fields. …”
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Smart Building Digital Twin for Interior Water Distribution System Management by G. Rajan, S. Li

“…Future work aims to develop a system for detecting complex event processes by integrating different utilities.…”
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Investigation on short-term slow slip events in the northeast Japan subduction zones using decadal GNSS data by Yutaro Okada, Takuya Nishimura

“…By applying the systematic detection method to ~ 27-year data, we identified 71 S-SSEs. …”
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mzGroupAnalyzer--predicting pathways and novel chemical structures from untargeted high-throughput metabolomics data. by Hannes Doerfler, Xiaoliang Sun, Lei Wang, Doris Engelmeier, David Lyon, Wolfram Weckwerth

“…Pathways are extracted directly from the data and putative novel structures can be identified. The detected m/z features can be mapped on a van Krevelen diagram according to their H/C and O/C ratios for pattern recognition and to visualize oxidative processes and biochemical transformations. …”
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A Distributed RF Threat Sensing Architecture by Georgios Michalis, Andreas Rousias, Loizos Kanaris, Akis Kokkinis , Pantelis Kanaris , Stavros Stavrou

“…The scope of this work is to propose a distributed RF sensing architecture that interconnects and utilizes a cyber security operations center (SOC) to support long-term RF threat monitoring, alerting, and further centralized processing. For the purpose of this work, RF threats refer mainly to RF jamming, since this can jeopardize multiple wireless systems, either directly as a Denial of Service (DoS) attack, or as a means to force a cellular or WiFi wireless client to connect to a malicious system. …”
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Possibilities of lipid clinics in identifying patients with familial hypercholesterolemia by Z. F. Kim, A. S. Galyavich, D. I. Sadykova, L. M. Nurieva

“…Aim. To assess the detection rate of familial hypercholesterolemia among outpa­tients visiting a lipidologist.Material and methods. …”
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