Results 51 to 60 of about 579,921 (281)

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

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

The Artificial Intelligence Cognitive Examination: A Survey on the Evolution of Multimodal Evaluation From Recognition to Reasoning

IEEE Access
This survey paper chronicles the evolution of evaluation in multimodal artificial intelligence (AI), framing it as a progression of increasingly sophisticated “cognitive examinations.” We argue that the field is undergoing a paradigm shift,
Mayank Ravishankara, Varindra V. Persad Maharaj   +1 more
doaj   +1 more source

The Use of an Exact Algorithm within a Tabu Search Maximum Clique Algorithm

Algorithms, 2020
Let G=(V,E) be an undirected graph with vertex set V and edge set E. A clique C of G is a subset of the vertices of V with every pair of vertices of C adjacent. A maximum clique is a clique with the maximum number of vertices. A tabu search algorithm for
Derek H. Smith, Roberto Montemanni, Stephanie Perkins   +2 more
doaj   +1 more source

Analysing Symbolic Regression Benchmarks under a Meta-Learning Approach

, 2018
The definition of a concise and effective testbed for Genetic Programming (GP) is a recurrent matter in the research community. This paper takes a new step in this direction, proposing a different approach to measure the quality of the symbolic ...
Martins, Joao Francisco Barreto da Silva, Miranda, Luis Fernando, Oliveira, Luiz Otavio Vilas Boas, Pappa, Gisele Lobo   +3 more
core   +1 more source

Enhancing Oncological Care for India's Aging Population: Addressing the Complex Needs of Older Adults With Cancer

Aging and Cancer, EarlyView.
Aging‐associated physiological and molecular alterations pose significant challenges in cancer management among India's elderly. Limited geriatric oncology expertise, financial constraints, and inadequate specialized care exacerbate disparities. Strategic expansion of insurance coverage, integration of palliative care, and infrastructural advancements ...
Nihanthy D. Sreenath, Mathigatta Shivarudraiah S, Rajath Govind, Kaushik M R   +3 more
wiley   +1 more source

Memory benchmarking characterisation of ARM-based SoCs [PDF]

Компьютерные исследования и моделирование, 2015
Computational intensity is traditionally the focus of large-scale computing system designs, generally leaving such designs ill-equipped to efficiently handle throughput-oriented workloads. In addition, cost and energy consumption considerations for large-
Thomas Wrigley, Robert Graham Reed, Bruce Mellado   +2 more
doaj   +1 more source

Predicting and Comparing the Subjective Health Experience of Older Cancer Survivors and Non‐Cancer Survivors: A Modeling Approach

Aging and Cancer, EarlyView.
This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst, Sjaak Bloem, Eline J. Mertens, Nathascha Hanzen, Michel van Agthoven   +4 more
wiley   +1 more source

LLM4Mat-bench: benchmarking large language models for materials property prediction

Machine Learning: Science and Technology
Large language models (LLMs) are increasingly being used in materials science. However, little attention has been given to benchmarking and standardized evaluation for LLM-based materials property prediction, which hinders progress.
Andre Niyongabo Rubungo, Kangming Li, Jason Hattrick-Simpers, Adji Bousso Dieng   +3 more
doaj   +1 more source

Prognostic Impact of European LeukemiaNet Genetic Risk Stratification System in Adult Patients With Acute Myeloid Leukemia

Aging and Cancer, EarlyView.
This study aimed to evaluate the prognostic value of ELN2017 in predicting survival outcomes and to assess the impact of clinical and molecular factors such as age, FLT3 and NPM1 mutations, and allogeneic hematopoietic stem cell transplantation (allo‐HSCT).
Mobina Shrestha, Bishwas Mandal, Vishal Mandal, Asis Shrestha, Amir Babu Shrestha   +4 more
wiley   +1 more source