Results 81 to 90 of about 488,848 (338)

Decoding the Personalization-Privacy Paradox: From Thematic Scholarly Clusters to Practical Insights

open access: yesStudies in Business and Economics
In today’s digital era, the rise of data-driven personalization has made the tension between relevance and privacy a central issue for businesses: while personalization has become a (source of) competitive advantage, growing privacy concerns pose a ...
Duralia Oana   +3 more
doaj   +1 more source

Journalists’ Personalization: How Self-Promoting, Branding, and Ideological Positioning Redefine Journalistic Practices, Products, and Institutions

open access: yesCommunication & Society (Formerly Comunicación y Sociedad)
This research extends the existing discussion on political personalization by examining it from a different angle: exploring how this phenomenon manifests within journalism and journalistic practice.
Arnon Kedem, Motti Neiger
doaj   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

open access: yesMolecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker   +16 more
wiley   +1 more source

Personality Filters for Online News Interest and Engagement

open access: yesNordicom Review, 2019
Our many online routines leave behind trails of data about our identities, habits, preferences and connections. These data serve as filters when we seek out information, yielding relevant results and content of interest. However, commercial and political
Eg Ragnhild, Krumsvik Arne
doaj   +1 more source

Feasibility of a ctDNA multigenic panel for non‐small‐cell lung cancer early detection and disease surveillance

open access: yesMolecular Oncology, EarlyView.
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande   +11 more
wiley   +1 more source

Improving PARP inhibitor efficacy in bladder cancer without genetic BRCAness by combination with PLX51107

open access: yesMolecular Oncology, EarlyView.
Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz   +15 more
wiley   +1 more source

Analysis of atopic diseases incidence among the children population.

open access: yesMedičnì Perspektivi, 2018
The paper provides analysis of atopic diseases incidence diagnosed in children. There have been analyzed the associations between genesis of atopic diseases and child`s age, spectrum of cause-significant allergens, presence of digestive tract ...
V. O. Dytiatkovskyi   +2 more
doaj   +1 more source

Cis‐regulatory and long noncoding RNA alterations in breast cancer – current insights, biomarker utility, and the critical need for functional validation

open access: yesMolecular Oncology, EarlyView.
The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués   +3 more
wiley   +1 more source

Enhancing Federated Intrusion Detection with Class-Specific Dynamic Sampling

open access: yesApplied Sciences
Federated Learning (FL) presents a promising approach for collaborative intrusion detection while preserving data privacy. However, current FL frameworks face challenges with non-independent and identically distributed (non-IID) data and class imbalances
Sungkwan Youm, Taeyoon Kim
doaj   +1 more source

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