Article
Pathology
Andrea Moreno-Manuel, Silvia Calabuig-Farinas, Antonia Obrador-Hevia, Ana Blasco, Amaya Fernandez-Diaz, Rafael Sirera, Carlos Camps, Eloisa Jantus-Lewintre
Summary: In oncology, precision medicine has been achieved through biomarker-driven therapies and the use of liquid biopsy technology, particularly through the sensitive and efficient detection method of digital PCR (dPCR). Despite some challenges like multiplexing capacity and protocol standardization, dPCR is considered one of the most sensitive methods for LB analysis and complements next generation sequencing (NGS) in treatment monitoring and minimal residual disease assessment.
EXPERT REVIEW OF MOLECULAR DIAGNOSTICS
(2021)
Article
Computer Science, Artificial Intelligence
Xinsong Niu, Jianzhou Wang, Lifang Zhang
Summary: In this study, a hybrid forecasting system combining error correction strategy and divide-conquer strategy is designed to accurately predict carbon prices. Experimental results demonstrate that the system outperforms other benchmark methods, providing a new, effective, and feasible solution for carbon price forecasting.
APPLIED SOFT COMPUTING
(2022)
Article
Chemistry, Analytical
Sichun Du, Qing Deng
Summary: The paper presents a new unscented particle filter algorithm - divide-and-conquer sampling unscented particle filter (DCS-UPF), which realizes dimension reduction processing of target maneuver by decomposing the state space, effectively preventing particle degeneracy and improving tracking accuracy and sample diversity.
Article
Virology
John Juma, Samson L. Konongoi, Isidore Nsengimana, Reuben Mwangi, James Akoko, Richard Nyamota, Collins Muli, Paul O. Dobi, Edward Kiritu, Shebbar Osiany, Amos A. Onwong'a, Rachael W. Gachogo, Rosemary Sang, Alan Christoffels, Kristina Roesel, Bernard Bett, Samuel O. Oyola
Summary: Rift Valley fever is a virus-borne disease endemic in Africa, primarily spread by abnormal rainfall patterns. It causes high mortality and morbidity in both humans and livestock. This study demonstrates the use of amplicon multiplex polymerase chain reaction (amPCR) to enrich and reduce host contamination in RVFV samples, allowing for rapid characterization and genotyping of the virus during outbreaks.
Article
Computer Science, Information Systems
Tongyao Yang, Fengbao Yang, Dingzhu Li
Summary: In this study, a model based on dynamic divide and conquer in sub-regions is proposed to address the issues in airspace decomposition in course prediction. The model introduces a new airspace decomposition rule and a state-distance bivariate weight function to improve the evaluation reliability of sub-region selection possibilities. Additionally, a quality function, a heuristic function, and a pheromone update rule are constructed to enhance the convergence speed and quality of course prediction.
Review
Medicine, General & Internal
Rajesh R. Singh
Summary: Screening for genomic sequence variants is crucial in precision medicine and next-generation sequencing technologies have become the preferred platforms due to their capacity for massively parallel sequencing. Targeted NGS workflow involves enrichment of the regions of interest, improving the accuracy and cost-effectiveness of screening.
Article
Biochemistry & Molecular Biology
Chiara Mareso, Elena Albion, William Cozza, Benedetta Tanzi, Stefano Cecchin, Paolo Gisondi, Sandro Michelini, Francesco Bellinato, Serena Michelini, Silvia Michelini, Matteo Bertelli, Giuseppe Marceddu
Summary: In this study, the whole sequence of FLG exon 3 was obtained using PacBio technology to investigate its association with skin diseases. A 2-step long-range PCR protocol was optimized to generate 13-kb amplicons covering the entire FLG exon 3 sequence. The PrimeSTAR protocol was found to be suitable for generating amplicons, and sequencing them may aid in identifying causative variants of the patients' disorders.
MOLECULAR BIOLOGY REPORTS
(2023)
Article
Biotechnology & Applied Microbiology
Daichi Morimoto, Naohiro Yoshida, Aya Sasaki, Satoshi Nakagawa, Yoshihiko Sako, Takashi Yoshida
Summary: The bloom-forming toxic cyanobacterium Microcystis aeruginosa interacts with diverse broad- and narrow-host-range viruses. However, the dynamics of the Microcystis population (at the intraspecies level) and viruses with different host ranges remain unknown.
APPLIED AND ENVIRONMENTAL MICROBIOLOGY
(2023)
Article
Environmental Sciences
Jing Xu, Yanan Zhang, Jindong Zhang, Jiarui Chen
Summary: This paper proposes a novel iterative algorithm based on an adaptive pulse compression algorithm to suppress the high sidelobes in non-grid multiple scattering points. The grid offsets of the multiple scattering points are estimated through decoherence and super-resolution techniques, and an optimization model is constructed. Finally, a sidelobe suppression algorithm based on the minimum mean square error criterion is presented.
Article
Oncology
Jianhao Geng, Xianggao Zhu, Zhiyan Liu, Qi Chen, Lu Bai, Shaobin Wang, Yongheng Li, Hao Wu, Haizhen Yue, Yi Du
Summary: This study proposes a deep learning-based workflow for fully automated clinical target volume (CTV) and gross tumor volume (GTV) delineation for rectal cancer neoadjuvant radiotherapy.
RADIATION ONCOLOGY
(2023)
Article
Physics, Multidisciplinary
Hou A-Hui, Hu Yi-Hua, Fang Jia-Jie, Zhao Nan-Xiang, Xu Shi-Long
Summary: This paper studies the photon ranging performance of long-distance moving targets using photon counting lidar. By establishing models and conducting experimental comparisons, the characteristics of photon echo probability distribution, the variation of photon detection probability distribution, and the relationship between photon ranging error and target translational speed are analyzed.
ACTA PHYSICA SINICA
(2022)
Article
Plant Sciences
Bode A. Olukolu, Yang Bian, Brian De Vries, William F. Tracy, Randall J. Wisser, James B. Holland, Peter J. Balint-Kurti
Article
Genetics & Heredity
Luis O. Lopez-Zuniga, Petra Wolters, Scott Davis, Teclemariam Weldekidan, Judith M. Kolkman, Rebecca Nelson, K. S. Hooda, Elizabeth Rucker, Wade Thomason, Randall Wisser, Peter Balint-Kurti
G3-GENES GENOMES GENETICS
(2019)
Article
Genetics & Heredity
Lais B. Martins, Elizabeth Rucker, Wade Thomason, Randall J. Wisser, James B. Holland, Peter Balint-Kurti
G3-GENES GENOMES GENETICS
(2019)
Article
Genetics & Heredity
Randall J. Wisser, Zhou Fang, James B. Holland, Juliana E. C. Teixeira, John Dougherty, Teclemariam Weldekidan, Natalia de Leon, Sherry Flint-Garcia, Nick Lauter, Seth C. Murray, Wenwei Xu, Arnel Hallauer
Article
Agronomy
James B. Holland, Thiago P. Marino, Heather C. Manching, Randall J. Wisser
Article
Genetics & Heredity
Yuting Qiu, Julian Cooper, Christopher Kaiser, Randall Wisser, Santiago X. Mideros, Tiffany M. Jamann
G3-GENES GENOMES GENETICS
(2020)
Article
Biochemical Research Methods
Heather Manching, Randall J. Wisser
Summary: The study introduces SPEARS, a pipeline for simulating genome-wide haplotype maps from sparse genotype data. Using a specified pedigree, the tool generates virtual genotypes with genotyping errors and missing data, simulating practical analysis and capturing sources of error. Standard metrics allow researchers to assess different population designs and the accuracy of haplotype structure for analysis.
Article
Genetics & Heredity
Randall J. Wisser, Sara J. Oppenheim, Emmalea G. Ernest, Terence T. Mhora, Michael D. Dumas, Nancy F. Gregory, Thomas A. Evans, Nicole M. Donofrio
Summary: Lima beans, high in fiber and protein, are widely grown in Delaware but are susceptible to diseases like pod rot and downy mildew. Understanding resistance genes is crucial for the thriving of this industry. Studying the Bridgeton cultivar has provided valuable insights into potential resistance genes and evolutionary dynamics in legumes.
G3-GENES GENOMES GENETICS
(2021)
Article
Plant Sciences
Nicole E. Choquette, James B. Holland, Teclemariam Weldekidan, Justine Drouault, Natalia de Leon, Sherry Flint-Garcia, Nick Lauter, Seth C. Murray, Wenwei Xu, Randall J. Wisser
Summary: Through experimental evolution in maize, this study investigated the response to selection and the possibility of moving plant germplasm across different geographical zones. The results showed that the flowering time of maize has plasticity, and different selection methods and photoperiods had significant effects on the selection outcomes. This study demonstrated the potential of phenotypic selection in rapidly shifting the phenology and plasticity of crops, and highlighted the importance of selecting crops to local conditions for climate change adaptation.