Gene expression changes in blastocyst hatching affect embryo implantation success in mice by Liyou An, Liang Zhang, Yulin Wu, Yadi Teng, Zihan Liu, Meixiang Ma, Miaolong Li, Xinrong Peng, Chenxi Liu

“…We developed a LASSO regression-based model using DEGs Lyz2, Cd36, Cfb, and Cyp17a1 to predict implantation success. This study revealed the diverse, multidimensional developmental fates of blastocysts during short-term hatching and indicated that the immune properties of the embryo had a major effect on blastocyst hatching outcomes. …”
Get full text

Genome-wide identification of the Sec14 gene family and the response to salt and drought stress in soybean (Glycine max) by Jinyu Zhang, Liying Zou, Li Wang, Dongchao Zhang, Ao Shen, Yongqi Lei, Maoni Chao, Xinjuan Xu, Zhiwei Xue, Zhongwen Huang

“…Furthermore, the protein interaction network and miRNA regulation associated with GmSec14s were predicted to elucidate the potential functions of GmSec14 members. …”
Get full text

Kidney failure-related excess mortality during the first three years of the COVID-19 pandemic in the United States: a nation-wide, population-based analysis by Zhenhu Chen, Pingping Jia, Di Xie, Jingyu Xie, Juan Liu, Wangnan Cao, Lefei Han, Jinjun Ran, Shengzhi Sun, Shi Zhao, Yang Ge, Leonardo Martinez, Xin Chen, Peihua Cao

“…Methods We aim to estimate time-varying excess kidney failure-related mortality, which is defined as the difference between observed mortality and expected mortality predicted by a Poisson log-linear regression model, in the United States (March 2020—March 2023). …”
Get full text

Mortality in Antinuclear Antibody-Positive Patients with and Without Rheumatologic Immune-Related Disorders: A Large-Scale Population-Based Study by Uria Shani, Paula David, Ilana Balassiano Strosberg, Ohad Regev, Mohamad Yihia, Niv Ben-Shabat, Dennis McGonagle, Orly Weinstein, Howard Amital, Abdulla Watad

“…Certain ANA patterns, such as mitochondrial (and dense fine speckled (DFS-AC2)), were highly predictive of mortality, with aHRs of 36.14 (95% CI 29.78–43.85) and 29.77 (95% CI 26.58–33.34), respectively. …”
Get full text

Socially interactive industrial robots: a PAD model of flow for emotional co-regulation by Fabrizio Nunnari, Dimitra Tsovaltzi , Matteo Lavit Nicora , Matteo Lavit Nicora , Sebastian Beyrodt , Pooja Prajod , Lara Chehayeb , Ingrid Brdar , Antonella Delle Fave , Luca Negri , Elisabeth André, Patrick Gebhard , Matteo Malosio 

“…The results from Study 1 suggest that the Dominance dimension plays a vital role in task-related settings as it predicts the participants’ Self-Efficacy and Flow. …”
Get full text

Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS... by Ramakanth Kavuluru, Xuan Wang, Paul Avillach, Florence Bourgeois, Kee Yuan Ngiam, Gabriel A Brat, Isaac Kohane, Tianxi Cai, Yuk-Lam Ho, Yuan Luo, Harrison G Zhang, Kelly Cho, Vincent Benoit, Antoine Neuraz, Chuan Hong, Sehi L'Yi, Griffin Weber, Bryce W Q Tan, Alba Gutiérrez-Sacristán, Clara-Lea Bonzel, Nathan P Palmer, Alberto Malovini, Valentina Tibollo, Meghan R Hutch, Molei Liu, Riccardo Bellazzi, Luca Chiovato, Fernando J Sanz Vidorreta, Trang T Le, William Yuan, Bertrand Moal, Michele Morris, David A Hanauer, Sarah Maidlow, Kavishwar Wagholikar, Shawn Murphy, Hossein Estiri, Adeline Makoudjou, Patric Tippmann, Jeffery Klann, Robert W Follett, Nils Gehlenborg, Gilbert S Omenn, Zongqi Xia, Arianna Dagliati, Shyam Visweswaran, Lav P Patel, Danielle L Mowery, Emily R Schriver, Malarkodi Jebathilagam Samayamuthu, Sara Lozano-Zahonero, Daniela Zöller, Amelia L M Tan, Byorn W L Tan, John H Holmes, Petra Schubert, Brett K. Beaulieu-Jones, Miguel Pedrera-Jiménez, Noelia García-Barrio, Pablo Serrano-Balazote, Andrew South

“…The laboratory recovery rates and mortality rates over time were compared between the two waves of the pandemic.Primary and secondary outcome measures The primary outcome was all-cause mortality rate within 28 days after hospitalisation stratified by predicted low, medium and high mortality risk at baseline. …”
Get full text

Fetal cardiac function in pregnancy affected by congenital heart disease: protocol for a multicentre prospective cohort study by Anna Erenbourg, Tracie Barber, Vera Cecotti, Stefano Faiola, Ilaria Fantasia, Tamara Stampaljia, Hagai Avnet, Beata Radzymińska-Chruściel, Neama Meriki, Alec Welsh

“…The secondary objective is to estimate whether these automated parameters could improve the predictive value of the classical cardiovascular profile score in case of hydrops. …”
Get full text

Fecal microbiota is more stable during degradation and more diverse for ex situ cheetahs in Namibia compared to the USA by Morgan A. Maly, Morgan A. Maly, Morgan A. Maly, Morgan A. Maly, Reade B. Roberts, Mia M. Keady, Anne Schmidt-Küntzel, Meagan Maxwell, Laurie Marker, Matthew Breen, Carly R. Muletz-Wolz, Adrienne E. Crosier

“…We also found few differences in predictive functions of the fecal microbiota between the populations, where only one disease-related pathway was higher in the USA samples. …”
Get full text

How trait mindfulness protects late adolescents from stress-induced sleep problems: the unique role of mindfulness facets and gender differences by Huiting Cao, Jing Qian, Fenghua Tang, Yunyan Dong, Haining Ren, Xiaoran Xue, Ningning Mao, Xiaoyu Liu

“…Results A higher impact from stressful life events predicted more sleep problems a year later. Notably, among all five facets of mindfulness, only Observing significantly buffered the negative impact of stressful life events on sleep problems, in females but not in males, thus gender moderated the impact of Observing. …”
Get full text

Ultrasound and histopathological assessment of benign, borderline, and malignant thyroid tumors in pediatric patients: an illustrative review and literature overview by Dominika Januś, Dominika Januś, Monika Kujdowicz, Monika Kujdowicz, Aleksandra Kiszka-Wiłkojć, Aleksandra Kiszka-Wiłkojć, Konrad Kaleta, Anna Taczanowska-Niemczuk, Anna Taczanowska-Niemczuk, Jan Radliński, Kamil Możdżeń, Zuzanna Nowak, Wojciech Górecki, Wojciech Górecki, Jerzy B. Starzyk, Jerzy B. Starzyk

“…Future studies utilizing artificial intelligence (AI) to predict clinical outcomes in thyroid nodule diagnostics may offer new advancements, particularly given the increasing number of pediatric patients with solid thyroid lesions.…”
Get full text

Tenofovir and Doravirine Are Potential Reverse-Transcriptase Analogs in Combination with the New Reverse-Transcriptase Translocation Inhibitor (Islatravir) Among Treatment-Experien... by Alex Durand Nka, Yagai Bouba, Wilfried Rooker Tsapi Lontsi, Davy-Hyacinte Gouissi Anguechia, Georges Teto, Aude christelle Ka’e, Ezechiel Ngoufack Jagni Semengue, Collins Ambe Chenwi, Désiré Takou, Lum Forgwei, Tatiana Anim-Keng Tekoh, Aurelie Minelle Kengni Ngueko, Bernadette Bomgning Fokou, Jeremiah Efakika Gabisa, Michel Carlos Tommo Tchouaket, Willy Leroi TognaPabo, Derrick Tambe Ayuk Ngwese, Jacky Njiki Bikoi, Daniele Armenia, Vittorio Colizzi, Marcel Yotebieng, Nicaise Ndembi, Maria-Mercedes Santoro, Francesca Ceccherini-Silberstein, Carlo-Federico Perno, Alexis Ndjolo, Joseph Fokam

“…This study evaluated the predictive efficacy of ISL and identified potentially active antiretrovirals in combination among treatment-experienced patients in Cameroon, where NRTIs (3TC) have been the backbone of ART for decades now. …”
Get full text

KEAP1 mutations as key crucial prognostic biomarkers for resistance to KRAS-G12C inhibitors by Linyan Tian, Chengming Liu, Sufei Zheng, Huiyang Shi, Fang Wei, Wenxin Jiang, Yucheng Dong, Haiyan Xu, Enzhi Yin, Nan Sun, Jie He, Yan Wang

“…Abstract Background KRAS-G12C inhibitors mark a notable advancement in targeted cancer therapies, yet identifying predictive biomarkers for treatment efficacy and resistance remains essential for optimizing clinical outcomes. …”
Get full text

cigFacies: a massive-scale benchmark dataset of seismic facies and its application by H. Gao, X. Wu, X. Sun, M. Hou, M. Hou, H. Gao, G. Wang, H. Sheng

“…Finally, we use the benchmark dataset to train a network and then apply it to two 3-D seismic data for automatic seismic facies classification. The predictions are highly consistent with expert interpretation results, demonstrating that the diversity and representativeness of our benchmark dataset are sufficient to train a network that can be generalized well in seismic facies classification across field data. …”
Get full text

Seasonal Mathematical Model of Salmonellosis Transmission and the Role of Contaminated Environments and Food Products by Mohammed H. Alharbi, Fawaz K. Alalhareth, Mahmoud A. Ibrahim

“…The model was able to conduct an analysis based on the estimated 0.606 value of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="script">R</mi><mn>0</mn></msub></semantics></math></inline-formula>, and this meant that the model was able to fit reasonably well for both the cumulative and the new individual case data, which in turn, suggests the disease is curable. Predictions indicate a gradual decline in the number of new cases, with stabilization anticipated at approximately 40,000 cumulative cases. …”
Get full text

Remote Monitoring of Chemotherapy-Induced Peripheral Neuropathy by the NeuroDetect iOS App: Observational Cohort Study of Patients With Cancer by Ciao-Sin Chen, Michael P Dorsch, Sarah Alsomairy, Jennifer J Griggs, Reshma Jagsi, Michael Sabel, Amro Stino, Brian Callaghan, Daniel L Hertz

“…Various classification models including NeuroDetect features only (NeuroDetect Model) CIPN20-only (CIPN20 Model) or a combination of both (Combined Model) were trained and evaluated for accuracy in predicting CIPN probability. ResultsOf the 45 patients who completed functional assessments and neurological examinations, 24 had CIPN-f, and 29 had CIPN-h. …”
Get full text

Molecular and Transmission Characteristics of Mycobacterium Tuberculosis Strains Among College Students in Beijing, China by Cao X, Li X, Song Z, He P, Zhang R, Teng C, Sun Q, Wang X, Zhao B, Zhang Z, Zhao Y

“…The TB Profiler software predicted drug resistance mutations, and categorical data were analyzed using Chi-square or Fisher’s exact tests.Results: Among the 1436 college students with tuberculosis, a total of 153 isolates successfully underwent whole-genome sequencing. …”
Get full text

Expression and delivery of HA1-M2e antigen using an innovative attenuated Salmonella–mediated delivery system confers promising protection against H9N2 avian influenza challenge by Ram Prasad Aganja, In-Shik Kim, Hyun-Jin Tae, John Hwa Lee

“…Bioinformatics tools predicted that the HA1 and M2e sequences, which were designed as consensus sequences of South Korean strains (2000–2021), would have high antigenicity and favorable structures. …”
Get full text

Outcomes of Idecabtagene Vicleucel Therapy in Patients with Relapsed/Refractory Multiple Myeloma: A Single-Institution Experience by Aaron Trando, Farid Ghamsari, Philip Yeung, Caitlin Costello, Ila Saunders, Ah-Reum Jeong

“…Nevertheless, given its limitations, including the risk of adverse effects and unclear durability of efficacy, there remains a need to report the real-world clinical outcomes of ide-cel therapy in patients with R/R MM, as well as explore host predictive factors for therapy. <b>Methods:</b> We performed a single-center retrospective analysis of 25 adult patients with R/R MM who received ide-cel between 2021 and 2023 at the University of California San Diego Health. …”
Get full text

Thermodynamic Assessment of Different Feedstocks Gasification Using Supercritical Water and CO₂ for Hydrogen and Methane Production by Luis David García Caraballo, Julles Mitoura dos Santos Junior, Icaro Augusto Maccari Zelioli, York Castillo Santiago, Juan F. Perez Bayer, Adriano Pinto Mariano

“…The supercritical water gasification (SCWG) and carbon dioxide gasification of agro-industrial and urban waste residues—Coffee Husk, Eucalyptus Biochar, Energy Sugarcane, and Refuse-Derived Fuel (RDF)—were studied using TeS^® v.2 software, which employs a non-stoichiometric thermodynamic model to minimize Gibbs free energy and predict equilibrium compositions. The effects of temperature (873.15–1273.15 K), pressure (220–260 bar), biomass feed (18–69%), and gasifying agents on hydrogen and methane formation were analyzed. …”
Get full text

The gut–kidney axis is regulated by astragaloside IV to inhibit cyclosporine A-induced nephrotoxicity by Cong Han, Ran-ran Gao, Le Zhou, Wei Li

“…Five target genes of AS-IV, Ugt1a2, Ugt1a9, Ugt1a5, Pck1, and Slc7a11, were also identified and predicted by NONMMUT144584.1, MSTRG.30357.1 and ENSMUST00000174821. …”
Get full text