The Use of Biomass-Derived Chitosan for Colorimetric pH Detection by Ezekiel Edward Nettey-Oppong, Riaz Muhammad, Dohyun Yoo, Sun-Hyeop Hwang, Ahmed Ali, Chacha Saidi Mwita, Hyun-Woo Jeong, Seong-Wan Kim, Young-Seek Seok, Seung Ho Choi

“…The eco-friendly production process and the biocompatibility of this sensor provide a sustainable alternative to conventional pH measurement technologies. …”
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Tampered text detection via RGB and frequency relationship modeling by Yuxin WANG, Boqiang ZHANG, Hongtao XIE, Yongdong ZHANG

“…In recent years, the widespread dissemination of tampered text images on the Internet constitutes an important threat to the security of text images.However, the corresponding tampered text detection (TTD) methods have not been sufficiently explored.The TTD task aims to locate all text regions in an image while judging whether the text regions have been tampered with according to the authenticity of the texture.Thus, different from the general text detection task, TTD task further needs to perceive the fine-grained information for real-world and tampered text classification.TTD task has two main challenges.One the one hand, due to the high similarity in texture between real-world texts and tampered texts, TTD methods that only learn from RGB domain features have limited capability to distinguish these two-category texts well.On the other hand, as the different detecting difficulty exists in real-world texts and tampered texts, the network cannot well balance the learning process of the two-category texts, resulting in the imbalance detection performance between real-world and tampered texts.Compared with RGB domain features, the discontinuity of text texture in frequency domain can help the network to identify the authenticity of text instances.Accordingly, a new TTD method based on RGB and frequency information relationship modeling was proposed.The features in the RGB and frequency domains were extracted by independent feature extractors respectively.Thus, the identification ability of tampered texture can be enhanced by introducing frequency information during the texture perception.Then, a global RGB-frequency relationship module (GRM) was introduced to model the texture authenticity relationship between different text instances.GRM referred to the RGB-frequency features of other text instances in the same image to assist in judging the authenticity of the current text instance, which solved the problem of imbalanced detection performance.Furthermore, a new TTD dataset (Tampered-SROIE) was proposed to evaluate the effectiveness of proposed method, which contains 986 images (626 training images and 360 test images).By evaluating on the Tampered-SROIE, the proposed method obtains 95.97% and 96.80% in F-measure for real-world and tampered texts respectively and reduces the imbalanced detection accuracy by 1.13%.The proposed method will give new insights to the TTD community from the perspective of network structure and detection strategy.Tampered-SROIE also provides an evaluation benchmark for future TTD methods.…”
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Structural detection of goaf based on three-dimensional ERT technology by Nan Jia

“…Goaf, as an underground space formed after mining, the accurate detection of its structure is crucial to mine safety and the stability of underground engineering. …”
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Detection of hydrophobicity grade of insulators based on AHC-YOLO algorithm by Shaotong Pei, Weiqi Wang, Peng Wu, Chenlong Hu, Haichao Sun, Keyu Li, Mianxiao Wu, Bo Lan

“…Moreover, considering the real-time requirements for insulator hydrophobicity detection in practical operations, the model must be lightweight to speed up the detection process. …”
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A lightweight mechanism for vision-transformer-based object detection by Yanming Ye, Qiang Sun, Kailong Cheng, Xingfa Shen, Dongjing Wang

“…Abstract DETR (DEtection TRansformer) is a CV model for object detection that replaces traditional complex methods with a Transformer architecture, and has achieved significant improvement over previous methods, particularly in handling small and medium-sized objects. …”
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Unmasking the Fake: Machine Learning Approach for Deepfake Voice Detection by Muhammad Usama Tanveer Gujjar, Kashif Munir, Madiha Amjad, Atiq Ur Rehman, Amine Bermak

“…We present an advanced method for deepfake voice detection, leveraging a custom model named MFCC-GNB XtractNet. …”
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Neural Network Ensemble to Detect Dicentric Chromosomes in Metaphase Images by Ignacio Atencia-Jiménez, Adayabalam S. Balajee, Miguel J. Ruiz-Gómez, Francisco Sendra-Portero, Alegría Montoro, Miguel A. Molina-Cabello

“…Dicentric chromosome scoring is a laborious and time-consuming process which is performed manually in most cytogenetic biodosimetry laboratories. …”
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Foreground-Driven Contrastive Learning for Unsupervised Human Keypoint Detection by Shuxian Li, Hui Luo, Zhengwei Miao, Zhixing Wang, Qiliang Bao, Jianlin Zhang

“…Most existing methods are based on a reconstruction process that extracts appearance and pose information from transformed image pairs and spatially aligns them to obtain a reconstructed image for detection. …”
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EFEKTIVITAS NEURO LINGUISTIC PROGRAMMING DALAM MENINGKATKAN MOTIVASI BELAJAR PESERTA DIDIK: SYSTEMATIC LETERATURE REVIEW by Hana Novyana, Busmayaril, Defriyanto

“… This research aims to examine the effectiveness of Neuro Linguistic Programming (NLP) in increasing learning motivation through a Systematic Literature Review (SLR) approach. …”
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Implementation and Pilot Data on Diabetic Retinopathy in a Teleophthalmology Program at a Multispecialty Primary Care Clinic by Joanne B. Tayapad, MD, Alfonso U. Bengzon, MD, Sherman O. Valero, MD, Milagros H. Arroyo, MD, Ricardo Tobias M. Papa, MD, Egidio Jose S. Fortuna, MD, Jocelyn G. Erni, BS, Myra Alisa J. Reyes, RN, Jerry D. Cavallerano, OD PhD, Lloyd Paul Aiello, MD PhD, Paolo S. Silva, MD

“…Objective: To report on the implementation and initial pilot data of diabetic retinopathy (DR) identified using a validated telemedicine program for DR in a multispecialty primary care clinic. …”
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AI in dermatology: a comprehensive review into skin cancer detection by Kavita Behara, Ernest Bhero, John Terhile Agee

“…Results AI-based models exhibit remarkable performance in skin cancer detection by leveraging advanced deep learning algorithms, image processing techniques, and feature extraction methods. …”
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Coronary heart disease and the course of newly detected prostate cancer by E. V. Pomeshkin, S. V. Popov, I. N. Orlov, A. I. Bragin-Maltsev, S. A. Pomeshkina, O. L. Barbarash

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Global and single-nucleotide resolution detection of 7-methylguanosine in RNA by Silvia D’Ambrosi, Raquel García-Vílchez, Darek Kedra, Patrice Vitali, Nuria Macias-Cámara, Laura Bárcena, Monika Gonzalez-Lopez, Ana M. Aransay, Sabine Dietmann, Antonio Hurtado, Sandra Blanco

“…Notably, compared to NaBH4-based methods, Bo-Seq enhances the m7G detection performance, and simplifies the detection process, eliminating the necessity for intricate chemical steps and reducing the protocol duration. …”
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Detection of Mycobacteria in Arabian camels and antimycobacterial potential of Moringa oleifera by Sahar A. Allam, Eman Mahrous, Sahar T. M. Tolba, Samy M. Mohamed, Mohamed T. Ragab, Rania I. Mohamed

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Application of Genomic Selection in Beef Cattle Disease Prevention by Ramanathan Kasimanickam, Joao Carlos Pinheiro Ferreira, John Kastelic, Vanmathy Kasimanickam

“…These genomic insights allow for more accurate breeding programs aimed at enhancing disease resistance and overall herd resilience. …”
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Disruption of glutamine transport uncouples the NUPR1 stress-adaptation program and induces prostate cancer radiosensitivity by Uğur Kahya, Vasyl Lukiyanchuk, Ielizaveta Gorodetska, Matthias M. Weigel, Ayşe Sedef Köseer, Berke Alkan, Dragana Savic, Annett Linge, Steffen Löck, Mirko Peitzsch, Ira-Ida Skvortsova, Mechthild Krause, Anna Dubrovska

“…Analysis of the general oxidative stress level and mitochondrial superoxide detection were conducted using flow cytometry. γH2A.X foci analysis was used to assess the DNA double strand break. …”
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Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers by S. B. G. Tilak Babu, Ch Srinivasa Rao

“…Passive image forgery detection methods that identify forgeries without prior knowledge have become a key research focus. …”
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ECG Paper Digitization and R Peaks Detection Using FFT by Ibraheam Fathail, Vaishali D. Bhagile

“…The method of the system is uploading an ECG image, then dimensionality reduction, feature extraction in the form of digital signals, and saving it in a CSV file format using the MATLAB programming language. After that, the system retrieves the signals for further processing of the raw signals. …”
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Threshold detection by fitting segmented regression models in Microsoft Excel by Amy J Hopper, Angus M Brown

“…•The method does not require any specialist programming knowledge.…”
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VECTOR AUTOREGRESSIVE WITH OUTLIER DETECTION ON RAINFALL AND WIND SPEED DATA by Lisa Lestari, Evy Sulistianingsih, Hendra Perdana

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