Results 171 to 180 of about 5,872,567 (354)

APPLICATION OF AN IMPROVED SYSTEM FOR ACCOUNTING FOR INCOME AND COST VARIANCES IN THE "STANDARD-COSTING" SYSTEM

, 2020
A. Aimagambetova, A. Akhmetova, N.Zh. Urazbaev   +2 more
openalex   +1 more source

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source

Exploration of clinical pathway practice for optimization of DRG costing results based on resource consumption

BMC Medical Informatics and Decision Making
Background China’s Diagnosis-Related Groups (DRGs) payment reform focuses on clinical pathway standardization and cost accounting to optimize resource use.
Shu Qian Wu, Xiao Cui Wang, Andrew D. Boyd, Dan Feng, Min Zhong, Dandan Nie   +5 more
doaj   +1 more source

Risky Earnings, Taxation and Entrepreneurial Choice: A Microeconometric Model for Germany [PDF]

Which role do individual income prospects play in the decision to be an entrepreneur rather than an employee? In a model of occupational choice, higher expected after-tax earnings attract people to self-employment, while more risky net earnings deter ...
Frank M. Fossen
core  

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

FEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini, Nicolò Antonelli, Gianluca Molla   +2 more
wiley   +1 more source

Variance Accounting [PDF]

, 1976
openaire   +1 more source

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

Filtering and Mapping Public Health Data with an Innovative Kriging Approach, Accounting for Single Observation Variance

, 2015
Vittorio Casella, Ambrogio Manzino, Riccardo Bellazzi, Marica Franzini   +3 more
openalex   +1 more source

Hands‐on protocol for preparing water‐soluble fractions from agri‐food samples for NMR‐based metabolomics analysis

FEBS Open Bio, EarlyView.
This research protocol outlines a workflow for nuclear magnetic resonance (NMR)‐based metabolomics in the agri‐food sector. Using two case studies—strawberry leaves (solid matrix) and wine (liquid matrix)—it details the procedures for sample preparation, data acquisition, and processing.
Andrea Fernández‐Veloso, Jaime Hiniesta‐Valero, Alejandra Guerra‐Castellano, Miguel A. De la Rosa, Irene Díaz‐Moreno   +4 more
wiley   +1 more source