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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Facial identity recognition using StyleGAN3 inversion and improved tiny YOLOv7 model by Akhil Kumar, Swarnava Bhattacharjee, Ambrish Kumar, Dushantha Nalin K. Jayakody

“…The Facial Attribute Detection (FAM) Dataset has 11,560 images richly annotated in YOLO format. …”
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EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection by Alanoud Al Mazroa, Majdy M. Eltahir, Shouki A. Ebad, Faiz Abdullah Alotaibi, Venkatachalam K, Jaehyuk Cho

“…This is because schizophrenia involves intricate and subtle brain wave patterns that make it difficult to detect the disorder from EEG signals. As such, our model uses an “atrous” convolution operation to extract multi-scale temporal information and a cascade network structure that progressively improves the attribute representations across layers. …”
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Occurrence of Uncultured <i>Legionella</i> spp. in Treated Wastewater Effluent and Its Impact on Human Health (SCA.Re.S Project) by Osvalda De Giglio, Giusy Diella, Francesco Bagordo, Antonella Francesca Savino, Angelantonio Calabrese, Mariavirginia Campanale, Francesco Triggiano, Francesca Apollonio, Valentina Spagnuolo, Marco Lopuzzo, Tiziana Grassi, Maria Clementina Caputo, Silvia Brigida, Federica Valeriani, Vincenzo Romano Spica, Maria Teresa Montagna

“…<i>Legionella</i> was detected only with the molecular methods (except in one sample of effluent positive for <i>L. pneumophila</i> serogroup 6), which showed viable <i>Legionella pneumophila</i> and <i>L.…”
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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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Novel approaches to diagnostic imaging of locally advanced cervical cancer by N. G. Trukhacheva, I. G. Frolova, L. A. Kolomiets, A. V. Usova, E. G. Grigor’ev, S. A. Velichko, O. N. Churuksaeva

“…However, the use of functional mRitechniques has not yet been included in the standards. cervical cancer tissue has been found to show significantly lower diffusion-weighted imaging (dWi) values than normal cervical tissue, thus facilitating the detection of tumor and its spread. dWiis also used for differentiating changes after biopsy from residual tumor and for identifying small lymph nodes. the pEt/cttechnique combines the metabolic images of pEtwith anatomical images of ctand is more accurate than high resolution ctalone, especially in determining the involvement of regional lymph nodes and distant organs. 18-Fdg-pEt/cthas been successfully used for accurate staging of the disease (especially late stage), assessment of treatment response, radiotherapy planning, and detection of disease progression. in patients with advanced stages of cervical cancer (iiBiV stage), the 18-Fdg-pEt/ ctfindings can determine the treatment strategy in most cases, primarily due to high sensitivity (75–100 %) and specificity (87–100 %) in the detection of lymph node metastases.…”
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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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Increasing the efficiency of osseointegration in dental implantation in patients with diabetic osteopathy by remodeling bone tissue and intensifying its density. by O.O. Gudarian, D.O. Cherednyk

“…The purpose of the study was to increase the effectiveness of osseointegration of implants in dental implantation in patients with rapidly progressing generalized periodontitis combined with diabetic osteopathy by restoring normal remodeling of bone tissue and intensifying its density. …”
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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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A Enhancement the Efficiency of Solar Cell by using Internet of Things Applications by Mohammed Hassan Mjhool, Haider Th. Salim AL Rikabi AL Rikabi, Mansour S. Farhan AL Rikabi

“…Preventive maintenance, fault detection, historical PV panel analysis, and real-time monitoring can become more accessible than the classical methods. …”
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A systematic – Review of academic stress intended to improve the educational journey of learners by Iqra

“…As learners progress through their educational path, they experience various hassles and transitions, certainly encountering stress along the way. …”
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Proactive Frequency Stability Scheme Based on Bayesian Filters and Spectral Clustering by Gian Paramo, Mario D. Baquedano-Aguilar, Arturo Bretas, Sean Meyn

“…When a disturbance is detected, the state of frequency is predicted a few seconds into the future via a particle filter algorithm. …”
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CUMULATIVE CARDIO-VASCULAR RISK IN HYPERTENSIVE PATIENTS: EFFECTS OF ANGIOTENSIN CONVERTING ENZYME INHIBITORS by L. I. Katelnitskaya, L. A. Haisheva, S. E. Glova

“…Fatal CV risk according to SCORE scale and cumulative risk of acute coronary disease (CAD) events according to PRCAM program was assessed before and after 4 weeks of enalapril therapy (5-30 mg/d). …”
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Enhancing leaf disease classification using GAT-GCN hybrid model by Shyam Sundhar, Riya Sharma, Priyansh Maheshwari, Suvidha Rupesh Kumar, T. Sunil Kumar

“…Agriculture plays a critical role in the global economy, providing livelihoods and ensuring food security for billions. Progress in agricultural techniques has helped boost crop yield, along with a growing need for precise disease monitoring solutions. …”
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Classification and application of deep learning in construction engineering and management – A systematic literature review and future innovations by Qingze Li, Yang Yang, Gang Yao, Fujia Wei, Rui Li, Mingtao Zhu, Huiwen Hou

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Precision phenotyping in wheat: LiDAR-based plant height estimation and lodging classification using uncrewed ground vehicles by Prabahar Ravichandran, Keshav D. Singh, Scott D. Noble, Raju Soolanayakanahally, Jatinder S. Sangha, Elizabeth K. Brauer, Oscar Molina, Kirby T. Nilsen, Harpinder S. Randhawa, Keith Halcro, Clare Workman, Shankar Pahari

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