Molecular bases of muscular definition: the role of myostatin and proteinkinase β in progression of protein-energy waste in patients on hemodialysis by A. S. Kuzyarova, M. Z. Gasanov, M. M. Batyushin, O. V. Golubeva

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Fibroblast IRF7-mediated chondrocyte apoptosis affects the progression of collapse in steroid-induced osteonecrosis of the femoral head by Han Longfei, Fang Weihua, Han Mingli, Zhuang Zhikun, He Mincong, Wei Qiushi

“…Crystalline violet staining was used to observe the migration rate of fibroblasts, and flow cytometry was used to detect the apoptosis level of chondrocytes under co-culture conditions. …”
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Progressive iron overload in middle-aged mice impairs olfactory function, triggers lipid oxidation and induces apoptosis by Lin Deng, Lin Deng, Lin Deng, Qihui Luo, Qihui Luo, Yucong Liu, Yucong Liu, Yao Wang, Yao Wang, Zongliang Xiong, Zongliang Xiong, Hongping Wang, Lu Zhao, Lanlan Jia, Lanlan Jia, Riyi Shi, Chao Huang, Chao Huang, Zhengli Chen, Zhengli Chen

“…IntroductionThis study aims to investigate the progressive impact of chronic iron overload on the olfactory bulb, a region significantly affected in early neurodegenerative diseases like Parkinson’s and Alzheimer’s. …”
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Predictors for regression and progression of actively surveilled cervical intraepithelial neoplasia grade 2: A prospective cohort study by Laura Bergqvist, Anni Virtanen, Ilkka Kalliala, Ralf Bützow, Maija Jakobsson, Annu Heinonen, Karolina Louvanto, Joakim Dillner, Pekka Nieminen, Karoliina Aro

“…Complete regression (normal histology and/or normal or atypical squamous cells of undetermined significance (ASC‐US) cytology) was detected in 64.4.% (n = 132) while 16.1% (n = 33) of the lesions progressed to CIN grade 3 (CIN3) or worse including 31 CIN3 cases, one adenocarcinoma in situ and one cervical cancer case. …”
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Sialylated IgG expressed in triple-negative breast cancer cells promotes cancer progression by promoting glycolysis by Chenyang Hu, Shenghua Zhang, Fugang Duan, Xinmei Huang, Jing Huang, Zhu Zhu, Xiaoning Mo, Weiyan Xu, Lina Wu, Zhimin Fan, Xiaoyan Qiu

“…Results SIA-IgG was frequently detected in TNBC cells and was negatively associated with prognosis. …”
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Innovative modeling: a diet-induced quail model for progressive pathological changes in uric acid metabolism disorders by Yi Xu, Yu Wang, Fujun Gao, Chengjin Lu, Shujia Liu, Siying Chen, Xiaomeng Zhang, Zhijian Lin, Bing Zhang

“…The model effectively recapitulated three progressive pathological stages: (1) Hyperuricemia; (2) Hyperuricemia with urate nephropathy; and (3) Hyperuricemia with gouty arthritis. …”
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The role of errorful and errorless training on error detection and learning of tracking task by Ehsan Zareıan, Karen Baranı, Majid Arab, Mehdi Dastfal

“…This difference was in favor of the errorless training group and this group's progress in detecting errors was more than the errorful training group. …”
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Enabling sustainability by detecting early warning signs of corruption in government institutions by Pupung Purnamasari, Rudy Hartanto, Gugyh Susandy, Asep Kurniawan

“…This study aims to scientifically detect EWSC and recommend prevention strategies to accelerate progress to achieve SDGs. …”
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Salivary biomarkers: A promising avenue for advancing oral cancer detection by Yuvashree Chandrasekaran, L. Kayal, N. Aravindha Babu, Mukesh Kumar Dharmalingam Jothinathan, Archana Behera

“…This article will address recent progress in detecting saliva biomarkers including human DNA, mRNA and proteins that can be of diagnostic value in cancer. …”
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A systematic review of effective data augmentation in cervical cancer detection by Betelhem Zewdu Wubineh, Andrzej Rusiecki, Krzysztof Halawa

“…The rapid progress of AI has made computer-assisted systems essential in medical fields like cervical cytology analysis. …”
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Deep dive into deep learning methods for cervical cancer detection and classification by Pooja Patre, Dipti Verma

“…Cervical cancer continues to pose a significant global health challenge, highlighting the urgent need for accurate and efficient diagnostic techniques. Recent progress in deep learning has demonstrated considerable potential in improving the detection and classification of cervical cancer. …”
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Nanopipettes as a Potential Diagnostic Tool for Selective Nanopore Detection of Biomolecules by Regina M. Kuanaeva, Alexander N. Vaneev, Petr V. Gorelkin, Alexander S. Erofeev

“…This review summarized the latest progress in nanopipette-based nanopore technology for the detection of biomarkers, DNA, RNA, proteins, and peptides, in particular β-amyloid or α-synuclein, emphasizing the impact of technology on molecular diagnostics. …”
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Experimental economics for machine learning-a methodological contribution on lie detection. by Dmitri Bershadskyy, Laslo Dinges, Marc-André Fiedler, Ayoub Al-Hamadi, Nina Ostermaier, Joachim Weimann

“…We deduce that most of the commonly applied data sets for the training of lie detection algorithms could be improved by applying the toolbox of experimental economics. …”
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A survey on fault detection for networked systems under communication constraints by Weilu Chen, Jun Hu, Zhihui Wu, Siteng Ma

“…In this paper, the research progress of fault detection (FD) for NSs is reviewed, especially the FD methods in communication-constrained situations. …”
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Plant leaf disease detection using vision transformers for precision agriculture by Murugavalli S, Gopi R

“…This novel method shows that transformer-based designs might help progress in precision agriculture.…”
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A Review of the Recent Trends in Mobile Malware Evolution, Detection, and Analysis by Seetah Almarri, Alanoud Bodokhi, Mounir Frikha

“…It discusses significant progress in malware detection techniques, particularly those utilizing behavioral analysis, artificial intelligence (AI), and machine learning (ML). …”
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PVLF: point-voxel local feature fusion for 3D detection by Haowei Zhao, Zhuolei Xiao

“…Abstract Significant progress on 3D object detection in point cloud has been made in the detection of large objects with clear shape and contour information, such as cars. …”
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Lightweight Crack Automatic Detection Algorithm Based on TF-MobileNet by Jiantao Yu, Songrong Qian, Cheng Chen

“…With the progress of social life, the aging of building facilities has become an inevitable phenomenon. …”
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Review of One-Stage Universal Object Detection Algorithms in Deep Learning by WANG Ning, ZHI Min

“…This paper introduces the network structure and research progress of various algorithms, summarizes their characteristics, advantages, and limitations based on their structures, summarizes the main common datasets and evaluation indicators in the field of object detection, analyzes the performance of various algorithms and their improvement methods, discusses the application status of various algorithms in different fields, and finally looks forward to the future research directions of one-stage object detection algorithms.…”
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Generative Adversarial Networks In Object Detection: A Systematic Literature Review by Anis Farihan Mat Raffei, Sinung Suakanto, Faqih Hamami, Mohd Arfian Ismail, Ferda Ernawan

“…Collectively, these findings demonstrate how GANs, integrated with modern detectors, are greatly advancing object detection capabilities. Despite this progress, persistent challenges including computational cost and training stability remain. …”
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