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Journal articles on the topic 'Fusion approaches'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Michmerhuizen, Nicole L., Jeffery M. Klco, and Charles G. Mullighan. "Mechanistic insights and potential therapeutic approaches for NUP98-rearranged hematologic malignancies." Blood 136, no. 20 (November 12, 2020): 2275–89. http://dx.doi.org/10.1182/blood.2020007093.

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Abstract Nucleoporin 98 (NUP98) fusion oncoproteins are observed in a spectrum of hematologic malignancies, particularly pediatric leukemias with poor patient outcomes. Although wild-type full-length NUP98 is a member of the nuclear pore complex, the chromosomal translocations leading to NUP98 gene fusions involve the intrinsically disordered and N-terminal region of NUP98 with over 30 partner genes. Fusion partners include several genes bearing homeodomains or having known roles in transcriptional or epigenetic regulation. Based on data in both experimental models and patient samples, NUP98 fusion oncoprotein–driven leukemogenesis is mediated by changes in chromatin structure and gene expression. Multiple cofactors associate with NUP98 fusion oncoproteins to mediate transcriptional changes possibly via phase separation, in a manner likely dependent on the fusion partner. NUP98 gene fusions co-occur with a set of additional mutations, including FLT3–internal tandem duplication and other events contributing to increased proliferation. To improve the currently dire outcomes for patients with NUP98-rearranged malignancies, therapeutic strategies have been considered that target transcriptional and epigenetic machinery, cooperating alterations, and signaling or cell-cycle pathways. With the development of more faithful experimental systems and continued study, we anticipate great strides in our understanding of the molecular mechanisms and therapeutic vulnerabilities at play in NUP98-rearranged models. Taken together, these studies should lead to improved clinical outcomes for NUP98-rearranged leukemia.

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Pau, L. "Knowledge Representation Approaches in Sensor Fusion." IFAC Proceedings Volumes 20, no. 5 (July 1987): 323–27. http://dx.doi.org/10.1016/s1474-6670(17)55221-0.

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Katsaggelos, Aggelos K., Sara Bahaadini, and Rafael Molina. "Audiovisual Fusion: Challenges and New Approaches." Proceedings of the IEEE 103, no. 9 (September 2015): 1635–53. http://dx.doi.org/10.1109/jproc.2015.2459017.

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4

Coulter, Anne H. "Laser Tissue Fusion Approaches Clinical Utility." Journal of Clinical Laser Medicine & Surgery 10, no. 3 (June 1992): 229–33. http://dx.doi.org/10.1089/clm.1992.10.229.

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5

Konieczny, Sébastien, and Éric Grégoire. "Logic-based approaches to information fusion." Information Fusion 7, no. 1 (March 2006): 2–3. http://dx.doi.org/10.1016/j.inffus.2005.07.002.

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Grégoire, Eric, and Sébastien Konieczny. "Logic-based approaches to information fusion." Information Fusion 7, no. 1 (March 2006): 4–18. http://dx.doi.org/10.1016/j.inffus.2005.08.001.

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7

Pau, L. "Knowledge representation approaches in sensor fusion." Automatica 25, no. 2 (March 1989): 207–14. http://dx.doi.org/10.1016/0005-1098(89)90073-3.

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8

Saraç, Fatma, Sevgi Sarsu Büyükbeşe, Mehmet Toptaş, Ayşe Saygılı, and Kamil Şahin. "Approaches to the Treatment of Labial Fusion." Haseki Tıp Bülteni 54, no. 2 (June 27, 2016): 67–69. http://dx.doi.org/10.4274/haseki.2728.

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9

Clery, Daniel. "Laser fusion reactor approaches ‘burning plasma’ milestone." Science 370, no. 6520 (November 26, 2020): 1019–20. http://dx.doi.org/10.1126/science.370.6520.1019.

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10

Hammer, J. "Alternative Approaches to High Energy Density Fusion." Journal of Physics: Conference Series 688 (March 2016): 012025. http://dx.doi.org/10.1088/1742-6596/688/1/012025.

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Guo, Houyang, Francis Y. C. Thio, Michl W. Binderbauer, Richard J. Buttery, Thomas R. Jarboe, Rajesh Maingi, John S. Sarff, et al. "Innovative approaches towards an economic fusion reactor." National Science Review 7, no. 2 (October 30, 2019): 245–47. http://dx.doi.org/10.1093/nsr/nwz162.

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12

Fraser, Justin F., and Roger Härtl. "Anterior approaches to fusion of the cervical spine: a metaanalysis of fusion rates." Journal of Neurosurgery: Spine 6, no. 4 (April 2007): 298–303. http://dx.doi.org/10.3171/spi.2007.6.4.2.

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Object Anterior cervical discectomy (ACD), ACD with interbody fusion (ACDF), ACDF with placement of an anterior plate system (ACDFP), corpectomy, and corpectomy with plate placement are used to fuse the cervical spine. The authors conducted a metaanalysis of studies published after 1990 in which fusion rates achieved with each procedure were reported for patients with degenerative disease at one, two, and three disc levels. Methods Twenty-one papers each included data on at least 25 patients. In each of the 21 studies the average clinical follow up was more than 12 months, and the results were evaluated according to radiographic evidence of fusion and delineated by the number of levels fused. Chi-square and Fisher exact tests were used for comparisons. The mean age of the patients was 46.7 years, 46.6% were female, and the mean follow-up period was 39.6 months. The studies included 2682 patients and the overall fusion rate was 89.5%. For single disc–level disease, fusion rates were 84.9% for ACD, 92.1% for ACDF, and 97.1% for ACDFP (p = 0.0002). For two disc–level disease, fusion rates were 79.9% for ACDF, 94.6% for ACDFP, 95.9% for corpectomy, and 92.9% for corpectomy with plate placement (p = 0.0001). For three disc–level disease, fusion rates were 65.0% for ACDF, 82.5% for ACDFP, 89.8% for corpectomy, and 96.2% for corpectomy with plate placement (p = 0.0001). The use of anterior plates significantly improved fusion for one-level (p < 0.0001), two-level (p < 0.0001), and three-level (p < 0.05) ACDF. There was no significant difference in fusion rates between two-level ACDF and corpectomy with plate placement. Conclusions The anticipated fusion rate is one of several factors that may guide surgical decision making. Anterior cervical decompression and fusion results in high fusion rates. The results of the authors' study show that regardless of the number of levels fused, the use of an anterior cervical plate system significantly increases the fusion rate. For two-disc–level disease, there was no significant difference between ACD with a plate system or corpectomy with a plate system. For three-disc–level disease, however, the evidence suggests that corpectomy with plate placement is associated with higher fusion rates than discectomy with plate placement.

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13

Johnsson, Nils, and Kai Johnsson. "A Fusion of Disciplines: Chemical Approaches to Exploit Fusion Proteins for Functional Genomics." ChemBioChem 4, no. 9 (September 4, 2003): 803–10. http://dx.doi.org/10.1002/cbic.200200603.

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14

Rajeshwari Devi, D. V., and Narasimha Rao Kattamuri. "Sub-band-based feature fusion and hybrid fusion approaches for multimodal biometric identification." International Journal of Biometrics 12, no. 4 (2020): 357. http://dx.doi.org/10.1504/ijbm.2020.10032520.

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Devi, D. V. Rajeshwari, and Narasimha Rao Kattamuri. "Sub-band-based feature fusion and hybrid fusion approaches for multimodal biometric identification." International Journal of Biometrics 12, no. 4 (2020): 357. http://dx.doi.org/10.1504/ijbm.2020.110810.

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16

Yuan, Jing. "Efficient Convex Optimization Approaches to Variational Image Fusion." Numerical Mathematics: Theory, Methods and Applications 7, no. 2 (June 2014): 234–50. http://dx.doi.org/10.4208/nmtma.2014.ssvm10.

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17

Ratinov, Vladimir, Ilya Plonsky, and Joshua Zimmerberg. "Fusion Pore Conductance: Experimental Approaches and Theoretical Algorithms." Biophysical Journal 74, no. 5 (May 1998): 2374–87. http://dx.doi.org/10.1016/s0006-3495(98)77946-9.

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18

Waganer, Lester M. "Comparing Maintenance Approaches for Tokamak Fusion Power Plants." Fusion Technology 39, no. 2P2 (March 2001): 458–61. http://dx.doi.org/10.13182/fst01-a11963278.

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Krishnamoorthi, Raja, Annapurna Bai, and A. Srinivas. "Medical Image Fusion Based on Transformation Domain Approaches." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 042082. http://dx.doi.org/10.1088/1757-899x/981/4/042082.

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20

Robinson, D. C. "Alternative approaches: concept improvements in magnetic fusion research." Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 357, no. 1752 (March 15, 1999): 515–31. http://dx.doi.org/10.1098/rsta.1999.0339.

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21

Piet, Steven J. "Approaches to Achieving Inherently Safe Fusion Power Plants." Fusion Technology 10, no. 1 (July 1986): 7–30. http://dx.doi.org/10.13182/fst86-a24743.

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22

Sung, Wen-Tsai, Jui-Ho Chen, and Hsi-Chun Wang. "Optimization Data Fusion Approaches for Intelligent House System." Applied Mathematics & Information Sciences 7, no. 2L (June 1, 2013): 441–47. http://dx.doi.org/10.12785/amis/072l09.

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23

Hellebust, Halldis, Maria Murby, Lars Abrahmsén, Mathias Uhlén, and Sven-Olof Enfors. "Different Approaches to Stabilize a Recombinant Fusion Protein." Nature Biotechnology 7, no. 2 (February 1989): 165–68. http://dx.doi.org/10.1038/nbt0289-165.

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24

Canuto, Anne M. P., Fernando Pintro, and João C. Xavier-Junior. "Investigating fusion approaches in multi-biometric cancellable recognition." Expert Systems with Applications 40, no. 6 (May 2013): 1971–80. http://dx.doi.org/10.1016/j.eswa.2012.10.002.

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25

Shahandashti, Seyed Mohsen, Saiedeh N. Razavi, Lucio Soibelman, Mario Berges, Carlos H. Caldas, Ioannis Brilakis, Jochen Teizer, et al. "Data-Fusion Approaches and Applications for Construction Engineering." Journal of Construction Engineering and Management 137, no. 10 (October 2011): 863–69. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000287.

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26

Bruno, Rossella, and Gabriella Fontanini. "Next Generation Sequencing for Gene Fusion Analysis in Lung Cancer: A Literature Review." Diagnostics 10, no. 8 (July 27, 2020): 521. http://dx.doi.org/10.3390/diagnostics10080521.

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Gene fusions have a pivotal role in non-small cell lung cancer (NSCLC) precision medicine. Several techniques can be used, from fluorescence in situ hybridization and immunohistochemistry to next generation sequencing (NGS). Although several NGS panels are available, gene fusion testing presents more technical challenges than other variants. This is a PubMed-based narrative review aiming to summarize NGS approaches for gene fusion analysis and their performance on NSCLC clinical samples. The analysis can be performed at DNA or RNA levels, using different target enrichment (hybrid-capture or amplicon-based) and sequencing chemistries, with both custom and commercially available panels. DNA sequencing evaluates different alteration types simultaneously, but large introns and repetitive sequences can impact on the performance and it does not discriminate between expressed and unexpressed gene fusions. RNA-based targeted approach analyses and quantifies directly fusion transcripts and is more accurate than DNA panels on tumor tissue, but it can be limited by RNA quality and quantity. On liquid biopsy, satisfying data have been published on circulating tumor DNA hybrid-capture panels. There is not a perfect method for gene fusion analysis, but NGS approaches, though still needing a complete standardization and optimization, present several advantages for the clinical practice.

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27

Padella, Antonella, Giorgia Simonetti, Giulia Paciello, George Giotopoulos, Carmen Baldazzi, Simona Righi, Martina Ghetti, et al. "Novel and Rare Fusion Transcripts Involving Transcription Factors and Tumor Suppressor Genes in Acute Myeloid Leukemia." Cancers 11, no. 12 (December 5, 2019): 1951. http://dx.doi.org/10.3390/cancers11121951.

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Approximately 18% of acute myeloid leukemia (AML) cases express a fusion transcript. However, few fusions are recurrent across AML and the identification of these rare chimeras is of interest to characterize AML patients. Here, we studied the transcriptome of 8 adult AML patients with poorly described chromosomal translocation(s), with the aim of identifying novel and rare fusion transcripts. We integrated RNA-sequencing data with multiple approaches including computational analysis, Sanger sequencing, fluorescence in situ hybridization and in vitro studies to assess the oncogenic potential of the ZEB2-BCL11B chimera. We detected 7 different fusions with partner genes involving transcription factors (OAZ-MAFK, ZEB2-BCL11B), tumor suppressors (SAV1-GYPB, PUF60-TYW1, CNOT2-WT1) and rearrangements associated with the loss of NF1 (CPD-PXT1, UTP6-CRLF3). Notably, ZEB2-BCL11B rearrangements co-occurred with FLT3 mutations and were associated with a poorly differentiated or mixed phenotype leukemia. Although the fusion alone did not transform murine c-Kit+ bone marrow cells, 45.4% of 14q32 non-rearranged AML cases were also BCL11B-positive, suggesting a more general and complex mechanism of leukemogenesis associated with BCL11B expression. Overall, by combining different approaches, we described rare fusion events contributing to the complexity of AML and we linked the expression of some chimeras to genomic alterations hitting known genes in AML.

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Cole, Chad D., Todd D. McCall, Meic H. Schmidt, and Andrew T. Dailey. "Comparison of low back fusion techniques: transforaminal lumbar interbody fusion (TLIF) or posterior lumbar interbody fusion (PLIF) approaches." Current Reviews in Musculoskeletal Medicine 2, no. 2 (April 29, 2009): 118–26. http://dx.doi.org/10.1007/s12178-009-9053-8.

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29

Ma, Yan, Ranjana Ambannavar, James Stephans, Jennie Jeong, Andrew Dei Rossi, John Morlan, Mei-Lan Liu, et al. "Fusion transcript discovery in formalin-fixed paraffin-embedded human breast cancer tissues and its relation to tumor progression." Journal of Clinical Oncology 31, no. 15_suppl (May 20, 2013): 11018. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.11018.

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11018 Background: While several recently discovered gene fusions already play an important role in personalized cancer treatment, many cancer gene fusions remain to be discovered. Next generation sequencing has enabled identification of many rare gene fusion events in fresh or frozen solid tumors. There is a need to detect gene fusions in transcriptomes of formalin-fixed paraffin-embedded (FFPE) tumor tissue, for which there is long-term clinical outcome data. We therefore sought to develop bioinformatics methods to detect fusion transcripts in FFPE tissue and to characterize their association with clinical outcomes. Methods: RNA sequencing libraries were created and sequenced from tumor biopsy tissues (Plos One 2012 7(7): e40092) of two ER+ breast cancer cohorts consisting of 136 and 77 patients, for which clinical outcomes were available. The fusion junctions were nominated by the RNA-seq aligner GSNAP and further filtered to consider discontinuous expression patterns at exon/intron levels. Results: A total of 108 candidate fusion transcripts were detected and RT-PCR assays confirmed 89% of the top ranking fusion transcript candidates. The majority (82%) of identified fusion gene partners are listed in the COSMIC database of known cancer sequence variations. Of note, several patients expressed multiple fusion transcripts that are significantly associated with tumor progression (P<0.001), including genes associated with cell proliferation and cellular metabolism. Furthermore, these patients also harbored inter-chromosomal gene fusions. It is noteworthy that several gene fusions were present in multiple patients. In one of these recurrent fusions the estrogen receptor gene acts as the fusion pair donor. Conclusions: Novel bioinformatics approaches developed here demonstrate the ability to detect fusion transcripts as biomarkers from archival FFPE tissues that associate with breast cancer progression. Some gene fusions were common in multiple patients and deserved further study.

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Zhao, Weijie. "A forum on innovative fusion approaches: will there be a SpaceX for fusion energy?" National Science Review 6, no. 5 (July 22, 2019): 1054–58. http://dx.doi.org/10.1093/nsr/nwz098.

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Lovino, Marta, Gianvito Urgese, Enrico Macii, Santa Di Cataldo, and Elisa Ficarra. "A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans." International Journal of Molecular Sciences 20, no. 7 (April 2, 2019): 1645. http://dx.doi.org/10.3390/ijms20071645.

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Gene fusions have a very important role in the study of cancer development. In this regard, predicting the probability of protein fusion transcripts of developing into a cancer is a very challenging and yet not fully explored research problem. To this date, all the available approaches in literature try to explain the oncogenic potential of gene fusions based on protein domain analysis, that is cancer-specific and not easy to adapt to newly developed information. In our work, we choose the raw protein sequences as the input baseline, and propose the use of deep learning, and more specifically Convolutional Neural Networks, to infer the oncogenity probability score of gene fusion transcripts and to group them into a number of categories (e.g., oncogenic/not oncogenic). This is an inherently flexible methodology that, unlike previous approaches, can be re-trained with very less efforts on newly available data (for example, from a different cancer). Based on experimental results on a large dataset of pre-annotated gene fusions, our method is able to predict the oncogenity potential of gene fusion transcripts with accuracy of about 72%, which increases to 86% if we consider the only instances that are classified with a high confidence level.

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Sujana, S., and V. S. K. Reddy. "Comparison of levels and fusion approaches for multimodal biometrics." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (August 1, 2021): 791. http://dx.doi.org/10.11591/ijeecs.v23.i2.pp791-801.

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The biometric-based authentication system occupies maximal space in the field of security administration. Biometric applications are swiftly accelerating in day-to-day life such as computer login, smart homes, online banking, hospitals, border areas, industries, forensics, e-voting attendance system and investigation of crime. A reliable and accurate recognition body can be achieved with multimodal biometric methodologies. In this paper, we discuss starting with an introduction to biometric systems followed by their classification, and advantages as well as disadvantages. In today’s world, most of the systems are unimodal biometrics having a lot of limitations to overcome those multimodal biometrics comes in to picture. In this paper we have discussed comprehensive representation on the system of multimodal biometric, various modes of undertakings, the significance of information fusion, a different section is allotted on the various possible levels of fusion involving sensor-level, feature-level, score-level, and decision -level as well as different rules of fusion.

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33

Di Nottia, Michela, Daniela Verrigni, Alessandra Torraco, Teresa Rizza, Enrico Bertini, and Rosalba Carrozzo. "Mitochondrial Dynamics: Molecular Mechanisms, Related Primary Mitochondrial Disorders and Therapeutic Approaches." Genes 12, no. 2 (February 10, 2021): 247. http://dx.doi.org/10.3390/genes12020247.

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Mitochondria do not exist as individual entities in the cell—conversely, they constitute an interconnected community governed by the constant and opposite process of fission and fusion. The mitochondrial fission leads to the formation of smaller mitochondria, promoting the biogenesis of new organelles. On the other hand, following the fusion process, mitochondria appear as longer and interconnected tubules, which enhance the communication with other organelles. Both fission and fusion are carried out by a small number of highly conserved guanosine triphosphatase proteins and their interactors. Disruption of this equilibrium has been associated with several pathological conditions, ranging from cancer to neurodegeneration, and mutations in genes involved in mitochondrial fission and fusion have been reported to be the cause of a subset of neurogenetic disorders.

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34

Ramachandran, Ravi P., Kevin R. Farrell, Roopashri Ramachandran, and Richard J. Mammone. "Speaker recognition—general classifier approaches and data fusion methods." Pattern Recognition 35, no. 12 (December 2002): 2801–21. http://dx.doi.org/10.1016/s0031-3203(01)00235-7.

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35

Kong, Jiahui, Qiong Zhang, Mathew Savage, Minzhi Li, Xin Li, Sihai Yang, Xu Liang, Weihua Zhu, Hans Ågren, and Yongshu Xie. "Tetra- and Octapyrroles Synthesized from Confusion and Fusion Approaches." Organic Letters 18, no. 19 (September 22, 2016): 5046–49. http://dx.doi.org/10.1021/acs.orglett.6b02495.

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36

Xiong, N., and P. Svensson. "Multi-sensor management for information fusion: issues and approaches." Information Fusion 3, no. 2 (June 2002): 163–86. http://dx.doi.org/10.1016/s1566-2535(02)00055-6.

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37

Martin H, J. A., M. S. Penas, G. Farias, N. Duro, J. Sanchez, R. Dormido, S. Dormido-Canto, J. Vega, and H. Vargas. "Dynamic Clustering and Modeling Approaches for Fusion Plasma Signals." IEEE Transactions on Instrumentation and Measurement 58, no. 9 (September 2009): 2969–78. http://dx.doi.org/10.1109/tim.2009.2016798.

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38

Ogle, Brenda, Marilia Cascalho, and Jeffrey L. Platt. "Fusion of approaches to the treatment of organ failure." American Journal of Transplantation 4 (February 2004): 74–77. http://dx.doi.org/10.1111/j.1600-6135.2004.0347.x.

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Hens, Samantha M., and Kanya Godde. "New Approaches to Age Estimation Using Palatal Suture Fusion." Journal of Forensic Sciences 65, no. 5 (June 17, 2020): 1406–15. http://dx.doi.org/10.1111/1556-4029.14485.

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40

Thoma, Clemens. "MRI/TRUS fusion outperforms standard and combined biopsy approaches." Nature Reviews Urology 12, no. 3 (February 17, 2015): 119. http://dx.doi.org/10.1038/nrurol.2015.28.

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41

Hayman, Paul W., and J. Reece Roth. "Comparison of mainline and alternate approaches to fusion energy." Journal of Fusion Energy 4, no. 1 (February 1985): 11–26. http://dx.doi.org/10.1007/bf01051636.

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Nigam, Ishan, Mayank Vatsa, and Richa Singh. "Ocular biometrics: A survey of modalities and fusion approaches." Information Fusion 26 (November 2015): 1–35. http://dx.doi.org/10.1016/j.inffus.2015.03.005.

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Godre, S. S., and Y. R. Waghmare. "Heavy-ion fusion in classical and semiclassical microscopic approaches." Pramana 32, no. 4 (April 1989): 435–46. http://dx.doi.org/10.1007/bf02845975.

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44

Odette, G. R. "New approaches to simulating fusion damage in fission reactors." Journal of Nuclear Materials 141-143 (November 1986): 1011–17. http://dx.doi.org/10.1016/0022-3115(86)90134-0.

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Tslil, Or, Nadav Lehrer, and Avishy Carmi. "Approaches to Chernoff fusion with applications to distributed estimation." Digital Signal Processing 107 (December 2020): 102877. http://dx.doi.org/10.1016/j.dsp.2020.102877.

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Mardhika, Putu Eka, Ketut Kris Adi Marta, Sri Maliawan, and Tjokorda GB Mahadewa. "Cervical Spondylotic Myelopathy: Pathophysiology and Surgical Approaches." Recent Advances in Biology and Medicine 03 (2017): 83. http://dx.doi.org/10.18639/rabm.2017.03.470880.

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This paper reviews the pathophysiology of cervical spondylotic myelopathy (CSM) and several surgical approaches for the treatment of CSM. CSM is a degenerative disease with severe morbidity. The pathophysiology of CSM involves static, dynamic, and ischemic factors. The management of mild CSM typically involves conservative treatments and medication; whereas, moderate and severe CSM are better treated surgically. Surgical treatments for CSM are basically classified into anterior and posterior surgeries. The common techniques are anterior cervical discectomy and fusion (ACDF), anterior cervical corpectomy and fusion (ACCF), laminectomy, and laminoplasty. Each technique has its own advantages and disadvantages. In this paper, we review the research papers from PubMed database to elaborate the advantages and disadvantages of each technique.

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Chen, Bo-Rui, Anagha Deshpande, Karina Barbosa, Maria Kleppe, Xue Lei, Narayana Yeddula, Pablo Sánchez Vela, et al. "A JAK/STAT-mediated inflammatory signaling cascade drives oncogenesis in AF10-rearranged AML." Blood 137, no. 24 (June 17, 2021): 3403–15. http://dx.doi.org/10.1182/blood.2020009023.

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Abstract Leukemias bearing fusions of the AF10/MLLT10 gene are associated with poor prognosis, and therapies targeting these fusion proteins (FPs) are lacking. To understand mechanisms underlying AF10 fusion-mediated leukemogenesis, we generated inducible mouse models of acute myeloid leukemia (AML) driven by the most common AF10 FPs, PICALM/CALM-AF10 and KMT2A/MLL-AF10, and performed comprehensive characterization of the disease using transcriptomic, epigenomic, proteomic, and functional genomic approaches. Our studies provide a detailed map of gene networks and protein interactors associated with key AF10 fusions involved in leukemia. Specifically, we report that AF10 fusions activate a cascade of JAK/STAT-mediated inflammatory signaling through direct recruitment of JAK1 kinase. Inhibition of the JAK/STAT signaling by genetic Jak1 deletion or through pharmacological JAK/STAT inhibition elicited potent antioncogenic effects in mouse and human models of AF10 fusion AML. Collectively, our study identifies JAK1 as a tractable therapeutic target in AF10-rearranged leukemias.

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Budikova, Petra, Michal Batko, David Novak, and Pavel Zezula. "Inherent Fusion." Journal of Database Management 27, no. 4 (October 2016): 1–23. http://dx.doi.org/10.4018/jdm.2016100101.

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The rapid growth of unstructured data, commonly denoted as the Big Data challenge, requires new technologies that are capable of dealing with complex data objects such as multimedia. In this work, the authors focus on the content-based retrieval approach, which is able to organize such data by exploiting the similarity of data content. In particular, they focus on solutions that are able to combine multiple similarity measures during the query evaluation. The authors introduce a classification of existing approaches and analyze their performance in terms of effectiveness, efficiency, and scalability. Further, they present a novel technique of inherent fusion that combines the efficiency of fast indexed retrieval with the effectiveness of ranking methods. The performance of all discussed methods is evaluated by extensive experiments with user participation.

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Barba, Marta, Claudia Cicione, Camilla Bernardini, Vincenzo Campana, Ernesto Pagano, Fabrizio Michetti, Giandomenico Logroscino, and Wanda Lattanzi. "Spinal Fusion in the Next Generation: Gene and Cell Therapy Approaches." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/406159.

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Bone fusion represents a challenge in the orthopedics practice, being especially indicated for spine disorders. Spinal fusion can be defined as the bony union between two vertebral bodies obtained through the surgical introduction of an osteoconductive, osteoinductive, and osteogenic compound. Autogenous bone graft provides all these three qualities and is considered the gold standard. However, a high morbidity is associated with the harvest procedure. Intensive research efforts have been spent during the last decades to develop new approaches and technologies for successful spine fusion. In recent years, cell and gene therapies have attracted great interest from the scientific community. The improved knowledge of both mesenchymal stem cell biology and osteogenic molecules allowed their use in regenerative medicine, representing attractive approaches to achieve bone regeneration also in spinal surgery applications. In this review we aim to describe the developing gene- and cell-based bone regenerative approaches as promising future trends in spine fusion.

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Hu, Haohao, Johannes Beck, Martin Lauer, and Christoph Stiller. "Continuous Fusion of Motion Data Using an Axis-Angle Rotation Representation with Uniform B-Spline." Sensors 21, no. 15 (July 23, 2021): 5004. http://dx.doi.org/10.3390/s21155004.

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Abstract:

The fusion of motion data is key in the fields of robotic and automated driving. Most existing approaches are filter-based or pose-graph-based. By using filter-based approaches, parameters should be set very carefully and the motion data can usually only be fused in a time forward direction. Pose-graph-based approaches can fuse data in time forward and backward directions. However, pre-integration is needed by applying measurements from inertial measurement units. Additionally, both approaches only provide discrete fusion results. In this work, we address this problem and present a uniform B-spline-based continuous fusion approach, which can fuse motion measurements from an inertial measurement unit and pose data from other localization systems robustly, accurately and efficiently. In our continuous fusion approach, an axis-angle is applied as our rotation representation method and uniform B-spline as the back-end optimization base. Evaluation results performed on the real world data show that our approach provides accurate, robust and continuous fusion results, which again supports our continuous fusion concept.

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