Results 91 to 100 of about 5,758,776 (359)

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

Study on the Multi-Equipment Integrated Scheduling Problem of a U-Shaped Automated Container Terminal Based on Graph Neural Network and Deep Reinforcement Learning

open access: yesJournal of Marine Science and Engineering
Intelligent Guided Vehicles (IGVs) in U-shaped automated container terminals (ACTs) have longer travel paths than those in conventional vertical layout ACTs, and their interactions with double trolley quay cranes (DTQCs) and double cantilever rail cranes
Qinglei Zhang   +6 more
doaj   +1 more source

Strategic, tactical decisions and information in Rapid Manufacturing supply chain [PDF]

open access: yes, 2011
The efficiency and agility of its supply chain is vital to the commercial success of any product. Sharing strategic and tactical information effectively within the supply chain is often a key factor in achieving this goal. This paper proposes a framework
Earl, C. F., Eckert, C. M., Hasan, S.
core  

PARP inhibitors elicit distinct transcriptional programs in homologous recombination competent castration‐resistant prostate cancer

open access: yesMolecular Oncology, EarlyView.
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham   +21 more
wiley   +1 more source

The relation between supply chain performance and supply chain governance practices [PDF]

open access: yes
The relation between corporate governance practices and firms’ performance is a common research subject for academics. This article goal is to present theoretical details regarding the possible relation between supply chain governance practices and ...
Emil CRIȘAN   +2 more
core  

Decrypting cancer's spatial code: from single cells to tissue niches

open access: yesMolecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik   +4 more
wiley   +1 more source

Taxonomy of digital signage message execution and media placement considerations [PDF]

open access: yesThe Retail and Marketing Review, 2020
Digital signage is a commercial promising field in marketing. Yet, it is a little researched topic, with an incomplete understanding of the factors to consider when planning digital signage message executions or media placements.
E M Xaba, AT Roux, GAP Drotsky
doaj  

Continuous supply chain collaboration : Road to achieve operational excellence [PDF]

open access: yes
Supply chain management (SCM) is becoming critical as firms recognize that competition is shifting from company versus company to supply chain versus supply chain.
Nakkeeran, Senthil kumar   +1 more
core   +1 more source

Supply Chain Management Berbasis Layanan: Desain Dan Implementasi Prototipe Sistem [PDF]

open access: yes, 2012
Supply Chain Management (SCM) adalah sebuah konsep pengaturan aliran proses perdagangan yang menghubungkan antara produsen, supplier, dan konsumen secara langsung.
Alfian, R. (Rakhmat)   +4 more
core  

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

open access: yesMolecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan   +9 more
wiley   +1 more source

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