Virtual Reality Portable Perimetry and Home Monitoring of Glaucoma: Retention and Compliance over a 2-year Period by Runjie B. Shi, MD, PhD, Leo Y. Li-Han, PhD, Irfan N. Kherani, MD, FRCSC, Graham E. Trope, PhD, FRCSC, Yvonne M. Buys, MD, FRCSC, Willy Wong, PhD, Moshe Eizenman, PhD

“…The years required to detect progression were also compared between HFA and TPP tests. …”
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Quantitative and qualitative gait assessments in Parkinson’s disease patients by Đurić-Jovičić Milica D., Jovičić Nenad S., Radovanović Saša M., Kresojević Nikola D., Kostić Vladimir S., Popović Mirjana B.

“…Objective gait assessment and monitoring progress of the disease can give clinicians and therapist important information about changes in gait pattern and potential gait deviations, in order to prevent concomitant falls. …”
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Predictive value of inflammatory regulators TGFb1 and CXCL8 in tumor tissue in colorectal cancer by I. A. Bogomolova, D. R. Dolgova, I. I. Antoneeva, T. V. Abakumova, I. R. Myagdieva, A. B. Peskov, T. P. Gening

“…Patients were divided into 3 groups: group I included patients without relapse of the disease, group II encompassed patients with relapse of the disease (within 6–16 months after the end of chemotherapy), group III included patients with disease progression. Expression of TGFb1 and CXCL8 in the tumor tissue before treatment in patients with stage II–III colorectal cancer (n = 77) was determined using quantitative realtime polymerase chain reaction (PCR) on the Bio-Rad CFX-96 Touch Real-Time PCR Detection System (USA). …”
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Relationship between different methods of visualization of hip joint lesions in patients with axial spondyloarthritis during a two-year observational study by E. M. Agafonova, Sh. Erdes

“…Almost half of the patients with axial spondyloarthritis (axSpA) in Russia have hip joint lesions (HJD), but the causes and rates of its progression have not been studied.Aim. To assess the relationship of X-ray progression with MRI data of hip joint examination in patients with axial spondyloarthritis during a two-year follow-up.Material and methods. …”
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Frailty and survival of patients with renal cell carcinoma: A meta-analysis by Longye Zhang, Weiping Liu, Bo Ning, Bohan Chen

“…No significant publication bias was detected. Frailty may be significantly associated with poorer survival outcomes in patients with RCC. …”
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Salivary Neuropilin-1 as a Promising Biomarker in Smokers with and without Oral Leukoplakia and Oral Cancer Patients: A Clinico-Biochemical Study by Deepasakthi Jayagopi, Sreedevi Dharman, Selvaraj Jayaraman

Subjects: “…key message: salivary neuropilin has significant clinical implications such as early detection and screening, monitoring disease progression and prognosis, and targets for therapeutic interventions.…”
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CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting by Josef Koumar, Karel Hynek, Tomáš Čejka, Pavel Šiška

“…Most approaches to anomaly detection use methods based on forecasting. Extensive real-world network datasets for forecasting and anomaly detection techniques are missing, potentially causing overestimation of anomaly detection algorithm performance and fabricating the illusion of progress. …”
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Phase separation of the plasma membrane in human red blood cells as a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus. by Giuseppe Maulucci, Ermanno Cordelli, Alessandro Rizzi, Francesca De Leva, Massimiliano Papi, Gabriele Ciasca, Daniela Samengo, Giovambattista Pani, Dario Pitocco, Paolo Soda, Giovanni Ghirlanda, Giulio Iannello, Marco De Spirito

“…The development of an assay based on Phase separation of the plasma membrane of the Red Blood cells is a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus, and could allow customization and the selection of medical treatments in T1DM in clinical settings, and enable the early detection of complications.…”
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LINC00659 Inhibits Hepatocellular Carcinoma Malignant Progression by Blocking Aerobic Glycolysis through FUS Recruitment and SLC10A1 Modulation by Bin Chen, Xin Xu, Wei Wu, Ke Zheng, Yijun Yu

“…Aerobic glycolysis is a hallmark of HCC and facilitates its progression. Solute carrier family 10 member 1 (SLC10A1) and long intergenic non-protein coding RNA 659 (LINC00659) were detected to be downregulated in HCC cells, yet their potential functions underlying HCC progression remained unidentified. …”
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022. From Challenge to Favorable Outcome: Resection of Progressive and Regrowing Neurofibroma in A Male 18-Year-Old Patient: A Case Report by Sofyan Arissaputra, Zainal Abidin

“…Conclusion: Neurofibromatosis type 1 can cause various manifestations, including progressive and regrowing large neurofibromas. Early detection and prompt surgical intervention are essential for preventing complications.…”
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Partial volume effect correction impairs the diagnostic utility of [18F]-THK-5351 PET in nonfluent-agrammatic variant primary progressive aphasia by Patrick J. Sommer, Sebastian Schuster, Oliver Goldhardt, Nobuyuki Okamura, Felix Mueller-Sarnowski, Maximilian Scheifele, Florian Eckenweber, Annika Kreuzer, Maria Griessl, Peter Bartenstein, Thomas Wegehaupt, Lucas Wolski, Josef Priller, Axel Rominger, Leonie Beyer, Timo Grimmer, Matthias Brendel

“…Sensitivity/specificity of the visual read for detection of nfv-PPA was 0.85/1.00 without PVEC and 0.85/0.75 with PVEC. …”
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Simulation research on safety detection of pattern rope jumping motion based on large data background by Dongmei Wang

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Enhancing Early Drought Detection in Plants: The Consideration of Organ Sensitivity, Parameter Selection, and Measurement Timing by Guanqiang Zuo, Naijie Feng, Dianfeng Zheng

“…While advancements in photosynthetic parameter analysis (e.g., gas exchange, and chlorophyll fluorescence) have enhanced drought monitoring, three understudied factors limit progress: (1) differential drought sensitivity across plant organs (e.g., root nodules vs. leaves); (2) the selection of sensitive photosynthetic parameters and optimal measurement timing for stress detection; and (3) the identification of leaf layers most responsive to water deficits. …”
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DLAT is involved in ovarian cancer progression by modulating lipid metabolism through the JAK2/STAT5A/SREBP1 signaling pathway by Hui Wang, Shen Luo, Yue Yin, Yang Liu, Xiaomei Sun, Ling Qiu, Xin Wu

“…Accumulated evidence highlights the pivotal role of reprogrammed lipid metabolism in fueling OC progression, however, the intricate underlying molecular mechanisms are not fully elucidated. …”
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Siamese-SAM: Remote Sensing Image Change Detection with Siamese Structure Segment Anything Model by Gang Wei, Yuqi Miao, Zhicheng Wang

“…Recent progress in foundational vision models, like the Segment Anything Model (SAM), has led to significant improvements in feature extraction. …”
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Allergenic potential of insect proteins: cross-reactivity, detection, degradation, and implications for food safety and labelling by Dongdong Ni

“…The need for establishing safety thresholds and labelling policies for insect-based food and feed should be considered, particularly in relation to cross-reactivity with seafood allergens. While significant progress has been made in allergen detection and risk assessment frameworks, there remains a lack of standardized guidelines for insect protein products. …”
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AI Enabled Threat Detection: Leveraging Artificial Intelligence for Advanced Security and Cyber Threat Mitigation by Kavitha Dhanushkodi, S. Thejas

“…This comprehensive review examines the role of artificial intelligence (AI) in enhancing threat detection and cybersecurity, focusing on recent advancements and ongoing challenges in this dynamic field. …”
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Constructing and evaluating ArabicStanceX: a social media dataset for Arabic stance detection by Ali Alkhathlan, Faris Alahmadi, Faris Kateb, Hend Al-Khalifa

“…Arabic stance detection has attracted significant interest due to the growing importance of social media in shaping public opinion. …”
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Machine Learning Approaches for Fault Detection in Internal Combustion Engines: A Review and Experimental Investigation by A. Srinivaas, N. R. Sakthivel, Binoy B. Nair

“…This paper concludes with a review of the progress in fault identification in ICE components and prospects, highlighted by an experimental investigation using 16 machine learning algorithms with seven feature selection techniques under three load conditions to detect faults in a four-cylinder ICE. …”
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Enhanced YOLO11 for lightweight and accurate drone-based maritime search and rescue object detection. by Beigeng Zhao, Jiawen Zhao, Rui Song, Lizhi Yu, Xia Zhang, Jiren Liu

“…Recent advancements in the newly released YOLO11 model have demonstrated significant progress in general object detection tasks across everyday scenarios. …”
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