Results 61 to 70 of about 7,807,921 (387)

Ugotavljanje povezav med cilji dosezkov, motivacijo in pricakovanji starsev studentov na Kosovu [PDF]

, 2017
This paper sheds light on the link between achievement goals, motivation, and parental expectations in a sample of 600 students attending higher education institutions in Kosovo.
Grajcevci, Albulene, Shala, Arif
core   +1 more source

Mycobacterium tuberculosis sulfurtransferase SseA is activated by its neighboring gene product Rv3284

FEBS Letters, EarlyView.
Tuberculosis remains a global health challenge and new therapeutic targets are required. Here, we characterized SseA, a sulfurtransferase from Mycobacterium tuberculosis involved in macrophage infection, and its interaction with the newly identified protein SufEMtb that activates SseA enzymatic activity.
Giulia Di Napoli, Alex Fissore, Edoardo Salladini, Eleonora Raccuia, Simonetta Oliaro‐Bosso, Alessia Ruggiero, Rita Berisio, Milagros Medina, Adrian Velazquez‐Campoy, Salvatore Adinolfi, Mauro Marengo   +10 more
wiley   +1 more source

Global annual wetland dataset at 30 m with a fine classification system from 2000 to 2022

Scientific Data
Wetlands play a key role in maintaining ecological balance and climate regulation. However, due to the complex and variable spectral characteristics of wetlands, there are no publicly available global 30-meter time-series wetland dynamic datasets at ...
Xiao Zhang, Liangyun Liu, Tingting Zhao, Jinqing Wang, Wendi Liu, Xidong Chen   +5 more
doaj   +1 more source

Exploring lipid diversity and minimalism to define membrane requirements for synthetic cells

FEBS Letters, EarlyView.
Designing the lipid membrane of synthetic cells is a complex task, in which its various roles (among them solute transport, membrane protein support, and self‐replication) should all be integrated. In this review, we report the latest top‐down and bottom‐up advances and discuss compatibility and complexity issues of current engineering approaches ...
Sergiy Gan, Victoria Scarpelli, Marten Exterkate   +2 more
wiley   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Poverty Goals [PDF]

econoquantum, 2008
We develop a methodology to estimate the required time and the minimum necessary growth rate to meet a poverty goal for a series of counterfactual income distributions and growth scenarios. The methodology can be applied to most poverty measures and is illustrated with data from Madagascar.
openaire   +2 more sources

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

A Process-Oriented Exploration of the Evolutionary Structures of Ocean Dynamics with Time Series of a Remote Sensing Dataset

Remote Sensing, 2023
Advanced Earth observation technologies provide a tool for the study of ocean dynamics either in basins or in oceans. In a comparison of when and where, how ocean dynamics evolves in space and time is still a challenge.
Cunjin Xue, Chaoran Niu, Yangfeng Xu, Fenzhen Su   +3 more
doaj   +1 more source

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

Molecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh, Nikola Tom, Anna Schrøder Lassen, Helene Brasch Lind Petersen, Ulrik Kristoffer Stoltze, Karin Wadt, Kjeld Schmiegelow, Matteo Tiberti, Elena Papaleo   +8 more
wiley   +1 more source