Effect of the COVID-19 Outbreak on Patients with Oral Premalignant Lesions and Patients Requiring Maxillofacial Prosthesis in a Tertiary Dental Care Centre, Kerala, India: A Cross-... by Kala Sukumaran, Ashish Rajasekaran, Smitha Ravindran, Sheela Virginia Rodrigues, Gigi Thomas

“…The implementation of preventive programs by the government has played a crucial role in improving patient prognosis through early detection. …”
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Parameter Design for Inter-Satellite Laser Link Acquisition Under Weak Light Conditions by Mengyang Zhao, Jia Shen, Juan Wang, Pan Li, Ruihong Gao, Ziren Luo

“…For the Taiji program or other LISA-like space-based gravitational wave (GW) detection missions, establishing laser links is a prerequisite for entering the normal science mode. …”
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Sampling and Comparison of Extraction Techniques Coupled with Gas Chromatography–Mass Spectrometry (GC-MS) for the Analysis of Substrates Exposed to Explosives by Himanshi Upadhyaya, Alexis J. Hecker, John V. Goodpaster

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Evaluation of response to a cholera outbreak in January 2024 using the 7–1–7 timeliness metrics: a case study of Elegu Point of Entry, Uganda by Innocent Ssemanda, Brian Kibwika, Ritah Namusoosa, Benon Kwesiga, Lilian Bulage, Richard Migisha, Alex Riolexus Ario

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Application of Neural Networks for Recognizing Rail Structural Elements in Magnetic and Eddy Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin

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High‐accuracy dynamic gesture recognition: A universal and self‐adaptive deep‐learning‐assisted system leveraging high‐performance ionogels‐based strain sensors by Yuqiong Sun, Jinrong Huang, Yan Cheng, Jing Zhang, Yi Shi, Lijia Pan

“…However, achieving rapid detection of subtle motions and timely processing of dynamic signals remain a challenge for sensors. …”
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Severity Estimation of Defects on Interpretation of Eddy-Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin

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Editorial: Revolutionizing cancer care: the promise of liquid biopsy assays for healthcare equity by Chad Brenner, Chad Brenner, Carolyn Y. Fang

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VARIABILITY STRUCTURE AND GENETIC DETERMINATION OF PLANT PHENOLOGICAL TYPE (ACCORDING TO RESULTS OF TOBACCO RESEARCH) by A. E. Shpakov, Yu. A. Volchkov, V. V. Drobyshev

“…The objectives of the study were the detection of phenological traits essential for the evaluation of genetically determined differences in phenological type in tobacco and investigation of their genetics. …”
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Combining environmental DNA and remote sensing variables to model fish biodiversity in tropical river ecosystems by Robin Bauknecht, Loïc Pellissier, Sébastien Brosse, Vincent Prié, Manuel Lopes-Lima, Pedro Beja, Monika K. Goralczyk, Andrea Polanco Fernandez, Jorge A. Moreno-Tilano, Rafik Neme, Mailyn A. Gonzalez, Shuo Zong

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Rip Current Identification in Optical Images Using Wavelet Transform by Hsu-Min Wang, Dong-Jiing Doong, Jian-Wu Lai

“…To address this challenge, this study presents a novel approach for detecting rip currents in optical images using wavelet-based edge detection and image convolution techniques. …”
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Integrating IT and OT for Cybersecurity: A Stochastic Optimization Approach via Attack Graphs by Gonzalo Martinez Medina, Krystel K. Castillo-Villar, Tanveer Hossain Bhuiyan

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Performance Analysis of Deep Learning Architectures in Classifying Fake and Real Images by Arya Faisal Akbar, Putu Desiana Wulaning Ayu, Dandy Pramana Hostiadi

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Attack resilient IoT security framework using multi head attention based representation learning with improved white shark optimization algorithm by Jawhara Aljabri

“…Abstract At present, the internet of things (IoT) plays a vital part in the growth of programmed electrical power stations while presenting magnificent chances, particularly cybersecurity. …”
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The Impact of Age on Preferences for Colorectal Cancer Surveillance Strategies: Are Fecal Immunochemical Tests FIT for Surveillance? by Maddison Dix, Sarah Cohen‐Woods, Molla M. Wassie, Jean M. Winter, Carlene J. Wilson, Graeme P. Young, Charles Cock, Erin L. Symonds

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Colorectal cancer screening using a multi-locus blood-based assay targeting circulating tumor DNA methylation: a cross-sectional study in an average-risk population by Baohua Wang, Yunzhi Zhang, Jun Liu, Bin Deng, Qing Li, Hongmei Liu, Yi Sui, Ning Wang, Qin Xiao, Wei Liu, Yan Chen, Yongsheng Li, Haipeng Jia, Qilong Yuan, Cuiping Wang, Wenjun Pan, Fan Li, Huimin Yang, Yongfeng Wang, Yanbing Ding, Daoliang Xu, Rui Liu, Jing-Yuan Fang, Jing Wu

“…Factors associated with increased detection rates for CRC and AA included male gender, older age, a history of alcohol consumption, and prior polyps. …”
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Precision Medicine Assessment of the Radiographic Defect Angle of the Intrabony Defect in Periodontal Lesions by Deep Learning of Bitewing Radiographs by Patricia Angela R. Abu, Yi-Cheng Mao, Yuan-Jin Lin, Chien-Kai Chao, Yi-He Lin, Bo-Siang Wang, Chiung-An Chen, Shih-Lun Chen, Tsung-Yi Chen, Kuo-Chen Li

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Detection of extensive drug resistance by the Xpert MTB/XDR assay in multidrug resistant tuberculosis cases at a tertiary care centre in northern India, and therapeutic decision ma... by Richa Misra, Parijat Das, Alok Nath, Zafar Neyaz

“…Recently, the Union Health Ministry of India in September 2024 approved the introduction of the six-month BPaLM regimen under its National TB Elimination Program (NTEP). In this study, the Xpert MTB/XDR assay was used to detect extensive drug resistance in pulmonary and extra-pulmonary tuberculosis patients with positive result for MTBC, and RIF resistance by the Xpert MTB/RIF ULTRA assay. …”
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Accessing utility of immunohistochemistry, PD-L1 correlation with stage of cancer and EGFR mutation with disease survival in primary lung carcinoma by Kartavya Kumar Verma, Amit Bugalia, Ajoy Kumar behera, Nighat Hussain

“…P63 exhibited a sensitivity of 66.67%, suggesting slightly lower detection capability, but excelled in specificity with 96.4% for squamous cell carcinoma. …”
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A novel deep learning framework for automatic scoring of PD-L1 expression in non-small cell lung cancer by Saidul Kabir, Muhammad E. H. Chowdhury, Rusab Sarmun, Semir Vranić, Rafif Mahmood Al Saady, Inga Rose, Zoran Gatalica

“… A critical predictive marker for anti-PD-1/PD-L1 therapy is programmed death-ligand 1 (PD-L1) expression, assessed by immunohistochemistry (IHC). …”
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