Dynamics of endophytic fungi composition in paris polyphylla var. chinensis (franch.) hara seeds during storage and growth, and responses of seedlings to phytohormones by Tong Peng, Tao Yang, Tao Yang, Jie Sha, Jiang Zhao, Jianwu Shi

“…Additionally, this study investigated the influence of phytohormones on the phenotypic and physiological characteristics of PPC and its endophytic fungal community. …”
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PD-1 and TIGIT coexpression identifies a circulating CD8 T cell subset predictive of response to anti-PD-1 therapy by Paul Nghiem, Martin Cheever, Stanley R Riddell, Steven P Fling, Nirasha Ramchurren, Nathalie Labarrière, Sylvain Simon, Virginie Vignard, Tiffany Beauvais, Brigitte Dreno, Valentin Voillet, Zhong Wu, Camille Dabrowski, Nicolas Jouand, Amir Khammari, Cécile Braudeau, Régis Josien, Olivier Adotevi, Caroline Laheurte, François Aubin, Charles Nardin, Samuel Rulli, Raphael Gottardo, Candice D Church

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SP140 inhibits STAT1 signaling, induces IFN-γ in tumor-associated macrophages, and is a predictive biomarker of immunotherapy response by Richard Carvajal, Akiva Mintz, Fatemeh Momen-Heravi, Alison Taylor, Kranthi Kiran Kishore Tanagala, Joshua Morin-Baxter, Maryum Cheema, Sunil Dubey, Angela Yoon, Yi-Shing L Cheng, Jeffrey Nickerson

“…SP140 expression provided higher sensitivity and specificity to predict antiprogrammed cell death protein 1 immunotherapy response compared with programmed death-ligand 1 in HNSCCs and lung cancer. …”
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Differential predictive value of resident memory CD8+T cell subpopulations in patients with non-small-cell lung cancer treated by immunotherapy by Hang Phuong Pham, Diane Damotte, Stéphanie Corgnac, Ludger Johannes, Eric Tartour, Léa Paolini, Fathia Mami-Chouaib, Karen Leroy, Pascaline Boudou-Rouquette, Helene Blons, Francois Goldwasser, Pierre Laurent-Puig, Isabelle Cremer, Milena Hasan, Thi Tran, Nadege Gruel, Laure Gibault, Elizabeth Fabre, Marie Wislez, Patrice Ravel, Valentin Quiniou, Jennifer Arrondeau, Aziza Caidi, Jean-Philippe Villemin, Jonathan Ulmer, Louis-Victorien Vieillard, Joséphine Pineau, Alain Gey, Pierre Barennes, Valentina Libri, Sebastien Mella, Sixtine De Percin, Hortense De Saint Basile

“…Analysis of T-cell receptor (TCR) repertoire and expression of the stemness marker TCF1 revealed shared TCRs between populations, with the SP subset appearing more progenitor-like phenotype. In the training cohort, PD-L1 (Programmed Death-Ligand 1) and TCF1+CD8+T cells predict response to anti-PD-1. …”
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Optimizing the single-step model for predicting fumonisins resistance in maize hybrids accounting for the genotype-by-environment interaction by Jeniffer Santana Pinto Coelho Evangelista, Jeniffer Santana Pinto Coelho Evangelista, Kaio Olimpo das Graças Dias, Maria Marta Pastina, Saulo Chaves, Lauro José Moreira Guimarães, Jorge Hidalgo, Julian Garcia-Abadillo, Julian Garcia-Abadillo, Reyna Persa, Valéria Aparecida Vieira Queiroz, Dagma Dionísia da Silva, Leonardo Lopes Bhering, Diego Jarquin

“…Two cross-validation scenarios were considered to evaluate the model’s proficiency: CV1 simulated the prediction of completely untested hybrids, where the individuals in the validation set had no phenotypic records in the training set; and CV2 simulated the prediction of partially tested hybrids, where individuals had been evaluated in some environments but not in the target environment. …”
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Sequence-based GWAS reveals genes and variants associated with predicted methane emissions in French dairy cows by Solène Fresco, Marie-Pierre Sanchez, Didier Boichard, Sébastien Fritz, Pauline Martin

“…It has been proposed that such emissions might be reduced using genetic selection; proposed phenotypes differ in the measurement methods used (direct or predicted methane emissions) and in the unit under consideration (g/d, g/kg of milk, g/kg of intake, residual methane emissions). …”
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Metabolomic-genomic prediction realizes small increases in accuracy of estimated breeding values for daily gain in pigs by Xiangyu Guo, Pernille Sarup, Anders Bay Nord, Mark Henryon, Tage Ostersen, Ole F. Christensen

“…We tested this hypothesis by predicting breeding values for average daily gain (ADG) using phenotypic, genomic, and metabolomic data. …”
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Automated Extraction of Stroke Severity From Unstructured Electronic Health Records Using Natural Language Processing by Marta Fernandes, M. Brandon Westover, Aneesh B. Singhal, Sahar F. Zafar

“…We developed a 2‐stage model to predict the admission National Institutes of Health Stroke Scale, obtained from the GWTG (Get With The Guidelines) stroke registry. …”
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Immunity and Its Effect on the Incidence of Multiple Organ Failure in Patients after the Heart Surgery by E. A. Partylova, Yu. I. Petrishchev, I. V. Kudryavtsev, O. G. Malkova, A. L. Levit

“…The purpose of the study is to identify the components of immunity, which might predict the development of multiple organ failure in patients after heart surgery.Material and methods. …”
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The associations among genetic features, late gadolinium enhancement and prognosis in hypertrophic cardiomyopathy by Wenhua Su, Wenhua Su, Hao Wu, Chen Chen, Hongjiang Zhang, Qiuyue Yu, Liwen Liang, Qian Huo, Hongbo Lou, Bingjun Che, Yan Zhao, Juhua Dan, Hong Zhang, Hong Zhang

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Exploring the Associations Between Autistic Traits, Sleep Quality, and Well-Being in University Students: A Cross-Sectional Study by Devangi Lunia, Andrew P. Smith

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Flight Altitude and Sensor Angle Affect Unmanned Aerial System Cotton Plant Height Assessments by Oluwatola Adedeji, Alwaseela Abdalla, Bishnu Ghimire, Glen Ritchie, Wenxuan Guo

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Multi-Feature Fusion for Estimating Above-Ground Biomass of Potato by UAV Remote Sensing by Guolan Xian, Jiangang Liu, Yongxin Lin, Shuang Li, Chunsong Bian

“…Timely and accurate monitoring of above-ground biomass (AGB) is of great significance for indicating crop growth status, predicting yield, and assessing carbon dynamics. Compared with the traditional time-consuming and laborious method through destructive sampling, UAV remote sensing provides a timely and efficient strategy for estimating biomass. …”
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Landscapes, habitat, and migratory behaviour: what drives the summer movements of a Northern viper? by Chloe R. Howarth, Christine A. Bishop, Karl W. Larsen

“…Migratory distance differed significantly between sites and was higher among individuals using forests as their migratory destination, yet within-habitat variation was high, suggesting a continuum of migratory phenotypes. Migratory distance was best predicted by two top models: terrain and combined effects (including terrain, physiology, and vegetation factors). …”
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Bioinformatics-Based Exploration of the Ability of Ginkgetin to Alleviate the Senescence of Cardiomyocytes After Myocardial Infarction and Its Cardioprotective Effects by Li H, Wei D, Cao H, Han Y, Li L, Liu Y, Qi J, Wu X, Zhang Z

“…Keywords: myocardial infarction, ginkgetin, senescence-associated secretory phenotype, immune infiltration, TCR signaling pathway…”
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Dynamic mode decomposition for analysis and prediction of metabolic oscillations from time-lapse imaging of cellular autofluorescence by Daniel Wüstner, Henrik Helge Gundestrup, Katja Thaysen

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Common variants show predicted polygenic effects on height in the tails of the distribution, except in extremely short individuals. by Yingleong Chan, Oddgeir L Holmen, Andrew Dauber, Lars Vatten, Aki S Havulinna, Frank Skorpen, Kirsti Kvaløy, Kaisa Silander, Thutrang T Nguyen, Cristen Willer, Michael Boehnke, Markus Perola, Aarno Palotie, Veikko Salomaa, Kristian Hveem, Timothy M Frayling, Joel N Hirschhorn, Michael N Weedon

“…The extent to which common variation determines the phenotype of highly heritable traits such as height is uncertain, as is the extent to which common variation is relevant to individuals with more extreme phenotypes. …”
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Genomic prediction and genome-wide association studies of morphological traits and distraction index in Korean Sapsaree dogs. by Md Azizul Haque, Na-Kuang Kim, Ryu Yeji, Bugeun Lee, Ji-Hong Ha, Yun-Mi Lee, Jong-Joo Kim

“…The accuracy of genomic predictions was evaluated using the traditional BLUP method with phenotypes only on genotyped animals (PBLUP-G), another traditional BLUP method using a pedigree-based relationship matrix (PBLUP) for all individuals, a GBLUP method based on a genomic relationship matrix, and a single-step GBLUP (ssGBLUP) method. …”
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Phenology analysis for trait prediction using UAVs in a MAGIC rice population with different transplanting protocols by Shoji Taniguchi, Toshihiro Sakamoto, Haruki Nakamura, Yasunori Nonoue, Di Guan, Akari Fukuda, Hirofumi Fukuda, Kaede C. Wada, Takuro Ishii, Jun-Ichi Yonemaru, Daisuke Ogawa

“…However, whether CH parameters are applicable to other rice populations and to different cultivation methods, and whether vegetation indices such as the chlorophyll index green (CIg) can function for phenotype prediction remain to be elucidated. Here we show that CH and CIg exhibit different patterns with different cultivation protocols, and each has its own character for the prediction of rice phenotypes. …”
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A PET-CT radiomics model for immunotherapy response and prognosis prediction in patients with metastatic colorectal cancer by Wenbiao Chen, Peng Zhu, Yeda Chen, Guoping Sun

“…The predictive performance of the model was evaluated by area under receiver operating characteristic curve (AUC), calibration curve and decision curve analysis (DCA).ResultsA radiomics signature to predict the TME phenotype was constructed in the training set and verified it in an internal validation set, with AUC of 0.855 and 0.844 respectively. …”
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