A novel dual-branch network for comprehensive spatiotemporal information integration for EEG-based epileptic seizure detection. by Xiaobing Deng

“…Deep learning EEG-based detection methods have made significant progress, but still face challenges such as the underutilization of spatial relationships, inter-individual physiological variability, and sequence intricacies. …”
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Outcomes of obstetric versus non-obstetric acute kidney injury: insights from an Indian tertiary care centre by Beauty Suman, Lalit Pursnani, Himansu Sekhar Mahapatra, Ashok Kumar, B. Muthukumar, Renju Binoy, Tanvi Thakker, Mahboob Alam, Abhishek Jha

“…Conclusion Non-obstetric AKI showed higher early mortality but better long-term recovery, while obstetric AKI had poorer renal outcomes and a higher risk of progression to CKD. Early detection and intervention are critical for improving outcomes.…”
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Achieving Computational Gains with Quantum Error-Correction Primitives: Generation of Long-Range Entanglement Enhanced by Error Detection by Haoran Liao, Gavin S. Hartnett, Ashish Kakkar, Adrian Tan, Michael Hush, Pranav S. Mundada, Michael J. Biercuk, Yuval Baum

“…The resource overhead required to achieve net computational benefits from quantum error correction (QEC) limits its utility while current systems remain constrained in size, despite exceptional progress in experimental demonstrations. In this paper, we demonstrate that the strategic application of QEC primitives without logical encoding can yield significant advantages on superconducting processors—relative to any alternative error-reduction strategy—while only requiring a modest overhead. …”
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Achieving Computational Gains with Quantum Error-Correction Primitives: Generation of Long-Range Entanglement Enhanced by Error Detection by Haoran Liao, Gavin S. Hartnett, Ashish Kakkar, Adrian Tan, Michael Hush, Pranav S. Mundada, Michael J. Biercuk, Yuval Baum

“…The resource overhead required to achieve net computational benefits from quantum error correction (QEC) limits its utility while current systems remain constrained in size, despite exceptional progress in experimental demonstrations. In this paper, we demonstrate that the strategic application of QEC primitives without logical encoding can yield significant advantages on superconducting processors—relative to any alternative error-reduction strategy—while only requiring a modest overhead. …”
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Blood-based biomarkers and neuroimaging for early detection of post-stroke cognitive impairment: current evidence and synergistic prospects by Ping Li, Yue Xin, Chunxiao Li, Laisong Yao, Yuekang Su

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Low capacity for molecular detection of Alphaviruses other than Chikungunya virus in 23 European laboratories, March 2022. by Laura Pezzi, Ramona Moegling, Cécile Baronti, Kamelia R Stanoeva, Lance D Presser, Pauline Jourdan, Nazli Ayhan, Willem M R van den Akker, Stephan Zientara, Céline M Gossner, Rémi N Charrel, Chantal B E M Reusken, EVD-LabNet

“…Here we evaluated molecular detection of alphaviruses in expert European laboratories by conducting an EQA in March 2022. …”
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Analysis of Compliance and Audit Opinion Correlation and Causes of Failure in Detecting Non-Compliance a Study on Local Government by Abdullah Lathif Elbaaqy Habiby, Irwan Taufiq Ritonga

“…The results show that there is a correlation between level of compliance of local government and audit opinion on LGFS, but there are risk in detecting non-compliance and risk of errors in audit opinion caused by different concepts in determining fraud, unclear guidelines on compliance testing, different concept of materiality among the AB auditors, failure to update programs audit, potential threats/dangers experienced by auditors, and failure to reduce auditors’ negative perception on working protection. …”
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Paving the way to detect adult malnourished patients in resource-limited settings: the first step to the right to nutritional care by E Van Tonder, FAM Wenhold, R Blaauw

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Deep Learning Network Selection and Optimized Information Fusion for Enhanced COVID-19 Detection: A Literature Review by Olga Adriana Caliman Sturdza, Florin Filip, Monica Terteliu Baitan, Mihai Dimian

“…Information fusion techniques, which operate at the data, feature, and decision levels, enhance diagnostic performance. However, progress in COVID-19 detection is hindered by ongoing issues stemming from restricted and non-uniform datasets, as well as domain differences in image standards and complications with both diagnostic overfitting and poor generalization capabilities. …”
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Predominant Bacteria Detected from the Middle Ear Fluid of Children Experiencing Otitis Media: A Systematic Review. by Chinh C Ngo, Helen M Massa, Ruth B Thornton, Allan W Cripps

“…This result was consistent, even where improved detection sensitivity from the use of polymerase chain reaction (PCR) rather than bacterial culture was conducted. …”
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EEG-Based Seizure Detection Using Dual-Branch CNN-ViT Network Integrating Phase and Power Spectrograms by Zhuohan Wang, Yaoqi Hu, Qingyue Xin, Guanghao Jin, Yazhou Zhao, Weidong Zhou, Guoyang Liu

“…Although significant progress has been made in epileptic seizure detection methods using time–frequency analysis, current research still faces challenges in terms of an insufficient utilization of phase information. …”
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AI-driven smart agriculture using hybrid transformer-CNN for real time disease detection in sustainable farming by Zhuo Zeng, Tariq Mahmood, Yu Wang, Amjad Rehman, Muhammad Akram Mujahid

“…Despite the progress in artificial intelligence, particularly deep learning, challenges persist in real-world applications due to environmental noise, varying light conditions, and other complicating factors that hinder detection accuracy. …”
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TMBO-AOD: Transparent Mask Background Optimization for Accurate Object Detection in Large-Scale Remote-Sensing Images by Tianyi Fu, Hongbin Dong, Benyi Yang, Baosong Deng

“…Recent advancements in deep-learning and computer vision technologies, coupled with the availability of large-scale remote-sensing image datasets, have accelerated the progress of remote-sensing object detection. However, large-scale remote-sensing images typically feature extensive and complex backgrounds with small and sparsely distributed objects, which pose significant challenges to detection performance. …”
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Sustainability of Audit Profession in Digital Technology Era: The Role of Competencies and Digital Technology Capabilities to Detect Fraud Risk by Fazlida Mohd Razali, Norhayati Sulaiman, Dewi Izzwi Abdul Manan, Jamaliah Said

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International and domestic experience of intellectual property legal protection on the Internet and separate methods of police crimes detection in this area by V. A. Korshenko, M. V. Mordvyntsev, D. V. Pashniev

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Pod-pose : an efficient top-down keypoint detection model for fine-grained pod phenotyping in mature soybean by Fei Liu, Hang Liu, Qiong Wu, Zhongzhi Han, Shanchen Pang, Shudong Wang, Longgang Zhao

“…Abstract Background Phenotypic characterization of mature soybean pods is a crucial aspect of breeding programs, yet efficiently obtaining accurate pod phenotypic parameters remains a major challenge. …”
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An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments by Mimouna Abdullah Alkhonaini

“…This paper presents a Fox Optimizer-Based Feature Selection with Deep Learning for Securing Cyberattack Detection (FOFSDL-SCD) model. This paper aims to analyze cybersecurity-driven approaches for enhancing IoT networks’ resilience and threat detection capabilities using advanced techniques. …”
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Health program for prEvention of cardiovascuLar disEases based on a risk screeNing strategy with Ankle-brachial index: HELENA study protocol by Gina Domínguez-Armengol, Gina Domínguez-Armengol, Francesc Ribas-Aulinas, Francesc Ribas-Aulinas, Elisabet Balló, Maite Alzamora-Sas, Maite Alzamora-Sas, Mar Serrat-Costa, Anna Ruiz-Comellas, Anna Ruiz-Comellas, Anna Ruiz-Comellas, Maria Jose Forcadell-Peris, Maria Jose Forcadell-Peris, Pere Toran, Ruth Martí-Lluch, Ruth Martí-Lluch, Ruth Martí-Lluch, Anna Ponjoan, Anna Ponjoan, Anna Ponjoan, Jordi Blanch, Lia Alves-Cabratosa, Lluís Zacarías-Pons, Lluís Zacarías-Pons, Eric Tornabell-Noguera, Eric Tornabell-Noguera, Álvaro Sánchez-Pérez, Álvaro Sánchez-Pérez, Anna Berenguera-Ossó, Anna Berenguera-Ossó, Rafel Ramos, Rafel Ramos, Rafel Ramos, Rafel Ramos, Rafel Ramos, The HELENA Study Group

“…A total of 274 primary care centers will be randomized into two groups that will either maintain the current CHD risk detection strategy or add a screening program to detect asymptomatic PAD using ABI. …”
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Recent Advancements in Breast Cancer Detection: A Holistic Review of Microwaves, Ultrasound, and Photo-Acoustic Imaging Techniques by Rachida Boulerbah, Abdelhalim Chaabane, Ibraheem Al-Naib, Abdulrahman S. M. Alqadami, Djelloul Aissaoui, Hussein Attia

“…Breast Cancer Detection (BCD) presents persistent challenges in clinical practice, with patients often experiencing quite high mortality risks due to diagnostic inaccuracies driven by imaging complexities and variable breast densities. …”
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Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…The histopathological recognition of such diseases is generally the most significant module in defining the finest progress of action. Prompt disease recognition on both front significantly reduces the probability of death. …”
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