Results 71 to 80 of about 1,218,748 (261)

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

open access: yesFEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes   +3 more
wiley   +1 more source

Penalaran Proporsional Siswa SMP Kelas IX dalam Menyelesaikan Masalah Matematika ditinjau dari Gender

open access: yesKreano: Jurnal Matematika Kreatif-Inovatif, 2017
Penelitian ini merupakan penelitian kualitatif yang bertujuan untuk mendeskripsikan penalaran proporsional siswa smp laki-laki dan perempuan dalam menyelesaikan masalah matematika.
Defi Indah Permatasari
doaj   +1 more source

Multiple Imputation of Missing Values [PDF]

open access: yesThe Stata Journal: Promoting communications on statistics and Stata, 2004
Following the seminal publications of Rubin about thirty years ago, statisticians have become increasingly aware of the inadequacy of “complete-case” analysis of datasets with missing observations. In medicine, for example, observations may be missing in a sporadic way for different covariates, and a complete-case analysis may omit as many as half of ...
openaire   +2 more sources

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

open access: yesFEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe   +3 more
wiley   +1 more source

Optimal Missing Value Estimation Algorithm for Groundwater Levels

open access: yesProceedings, 2018
In this study an algorithm for missing data imputation is presented. The algorithm uses measurements from neighboring sensors to estimate the missing values.
Klemen Kenda   +2 more
doaj   +1 more source

Calpain small subunit homodimerization is robust and calcium‐independent

open access: yesFEBS Letters, EarlyView.
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy   +4 more
wiley   +1 more source

Systematic Literature Review of Data Quality in Open Government Data: Trend, Methods, and Applications

open access: yesIEEE Access
An open government data (OGD) is an assortment of datasets dumped by government agencies into a portal with the goal of promoting the legitimacy and openness of government operations and processes to citizens.
Zahirah Zainuddin   +1 more
doaj   +1 more source

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

open access: yesFEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa   +5 more
wiley   +1 more source

Perbandingan Performa antara Imputasi Metode Konvensional dan Imputasi dengan Algoritma Mutual Nearest Neighbor

open access: yesJurnal Teknik ITS, 2013
Missing value adalah sebuah permasalahan yang sering terjadi pada dataset riil. Kekurangan ini biasanya mempengaruhi akurasi saat dilakukan klasifikasi dengan menggunakan dataset tersebut.
Azwar Rizal Alfarisi   +2 more
doaj  

DBSCANI: Noise-Resistant Method for Missing Value Imputation

open access: yesJournal of Intelligent Systems, 2016
The quality of data is an important task in the data mining. The validity of mining algorithms is reduced if data is not of good quality. The quality of data can be assessed in terms of missing values (MV) as well as noise present in the data set ...
Purwar Archana, Singh Sandeep Kumar
doaj   +1 more source

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