Results 61 to 70 of about 9,688,169 (280)

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Computational Cognitive Models of Summarization Assessment Skills [PDF]

, 2005
This paper presents a general computational cognitive model of the way a summary is assessed by teachers. It is based on models of two subprocesses: determining the importance of sentences and guessing the cognitive rules that the student may have used ...
Lamaire, Benoit, Mandin, Sonia, Denhière, Guy, Dessus, Philippe, Lemaire, Benoit   +4 more
core  

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

FEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

Proposing a new focus for the study of natural and artificial cognitive systems [PDF]

, 2002
In the study of systems the function of the system is often a good hint to how it works. In the following paper I would like to suggest that in studying or modeling a cognitive system our pre-knowledge of their functions should be treated carefully.
Hershberg, Uri
core  

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Molecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park, Kyongman An, Gyeonghwa Kim, Soo‐Nyun Choi, Hong‐Ki Lee, Keun Hur, Kyu‐Shik Jeong   +6 more
wiley   +1 more source

The MemClin project: a prospective multi memory clinics study targeting early stages of cognitive impairment

BMC Geriatrics, 2020
Background There remains a lack of large-scale clinical studies of cognitive impairment that aim to increase diagnostic and prognostic accuracy as well as validate previous research findings.
Urban Ekman, Daniel Ferreira, J-Sebastian Muehlboeck, John Wallert, Anna Rennie, Maria Eriksdotter, Lars-Olof Wahlund, Eric Westman   +7 more
doaj   +1 more source

Logical openness in Cognitive Models [PDF]

, 2008
It is here proposed an analysis of symbolic and sub-symbolic models for studying cognitive processes, centered on emergence and logical openness notions.
Licata, Prof Ignazio, Licata, Prof. Ignazio   +1 more
core  

PANoptosis in the pathogenesis of myelodysplastic syndromes

Molecular Oncology, EarlyView.
PANoptosis, a combination of three types of programmed cell death, is mediated by a large protein complex called a PANoptosome. In healthy bone marrow hematopoietic cells, PANoptosis is restricted by inhibitory signaling. In MDS, bone marrow cells become sensitive to the PANoptotic stimuli due to the aberrant inactivation of inhibitory signaling or ...
Rohit Thalla, Jyoti Lamichhane, Cameron Lewis, Peter Breslin, Jiwang Zhang   +4 more
wiley   +1 more source

Large Language Models for Learning Technologies: Structural and Functional Evaluation of Automated Q-Matrix Generation for Educational Assessment

IEEE Access
Linking assessment items to knowledge components (KCs) is essential for adaptive learning and cognitive diagnosis but remains a labor-intensive and expert-dependent process. This study investigates the use of Large Language Models (LLM) to automate item&#
Arcanjo Miguel Mota Lopes, Jose Francisco De Magalhaes Netto   +1 more
doaj   +1 more source

Diagnostic accuracy of multi-component spatial-temporal gait parameters in older adults with amnestic mild cognitive impairment

Frontiers in Human Neuroscience, 2022
ObjectiveThis study aimed to develop a diagnostic model of multi-kinematic parameters for patients with amnestic mild cognitive impairment (aMCI).MethodIn this cross-sectional study, 94 older adults were included (33 cognitively normal, CN; and 61 aMCI).
Shuyun Huang, Shuyun Huang, Xiaobing Hou, Yajing Liu, Pan Shang, Jiali Luo, Zeping Lv, Weiping Zhang, Biqing Lin, Qiulan Huang, Shuai Tao, Yukai Wang, Chengguo Zhang, Lushi Chen, Suyue Pan, Haiqun Xie   +15 more
doaj   +1 more source