LIVIVO - Search results -

Search results

Result 1 - 10 of total 301

Search options

Book ; Online: Problem Learning

Zhang, Yongfeng

Towards the Free Will of Machines

2021

Abstract: A machine intelligence pipeline usually consists of six components: problem, representation, model, loss, optimizer and metric. Researchers have worked hard trying to automate many components of the pipeline. However, one key component of the pipeline-- ... ...

Abstract	A machine intelligence pipeline usually consists of six components: problem, representation, model, loss, optimizer and metric. Researchers have worked hard trying to automate many components of the pipeline. However, one key component of the pipeline--problem definition--is still left mostly unexplored in terms of automation. Usually, it requires extensive efforts from domain experts to identify, define and formulate important problems in an area. However, automatically discovering research or application problems for an area is beneficial since it helps to identify valid and potentially important problems hidden in data that are unknown to domain experts, expand the scope of tasks that we can do in an area, and even inspire completely new findings. This paper describes Problem Learning, which aims at learning to discover and define valid and ethical problems from data or from the machine's interaction with the environment. We formalize problem learning as the identification of valid and ethical problems in a problem space and introduce several possible approaches to problem learning. In a broader sense, problem learning is an approach towards the free will of intelligent machines. Currently, machines are still limited to solving the problems defined by humans, without the ability or flexibility to freely explore various possible problems that are even unknown to humans. Though many machine learning techniques have been developed and integrated into intelligent systems, they still focus on the means rather than the purpose in that machines are still solving human defined problems. However, proposing good problems is sometimes even more important than solving problems, because a good problem can help to inspire new ideas and gain deeper understandings. The paper also discusses the ethical implications of problem learning under the background of Responsible AI. Comment: 17 pages, 1 figure
Keywords	Computer Science - Artificial Intelligence ; Computer Science - Computation and Language ; Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Information Retrieval ; Computer Science - Machine Learning
Subject code	006
Publishing date	2021-09-01
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: ALDH3A1 upregulation inhibits neutrophils N2 polarization and halts oral cancer growth.

He, Ying / Qu, Yi / Jin, Shan / Zhang, Yongfeng / Qin, Lizheng

Oral diseases

2024

Abstract: Objectives: Tumor-associated neutrophils (TANs) are among the most abundant inflammatory cells in tumor microenvironment (TME). Aldehyde dehydrogenase 3A1 (ALDH3A1) is significantly reduced in oral squamous cell carcinoma (OSCC), ALDH3A1 overexpression ... ...

Abstract	Objectives: Tumor-associated neutrophils (TANs) are among the most abundant inflammatory cells in tumor microenvironment (TME). Aldehyde dehydrogenase 3A1 (ALDH3A1) is significantly reduced in oral squamous cell carcinoma (OSCC), ALDH3A1 overexpression suppresses tumorigenesis by inhibiting inflammation. This study investigated the relationship and mechanisms underlying the crosstalk between ALDH3A1 and TANs in OSCC. Materials and methods: Immunohistochemistry and immunofluorescence were performed to investigate the abundance of TANs and the expression of ALDH3A1. dHL-60 were induced with tumor-conditioned media and recombinant IL-6/IL-8. The expression of key proteins in PI3K/AKT/NF-κB pathway were detected by RT-PCR and western blot. A xenograft model was utilized to examine the effect of ALDH3A1 on tumorigenicity and polarization of TANs. Results: In patients with OSCC, TANs significantly increased and were associated with a worse prognosis. Additionally, ALDH3A1 negatively correlated with TANs infiltration and especially the N2 phenotype which was the prominent part in OSCC. Furthermore, our study demonstrated that tumor-derived IL-8 drives ALDH3A1-mediated TANs N2 polarization in the TME through PI3K/AKT/NF-κB pathway in vitro and in vivo. Conclusion: Our results indicate that TANs can serve as a prognostic biomarker and ALDH3A1 could be a promising therapeutic target for regulating TANs N2 polarization in antitumor therapy.
Language	English
Publishing date	2024-01-15
Publishing country	Denmark
Document type	Journal Article
ZDB-ID	1290529-x
ISSN	1601-0825 ; 1354-523X
ISSN (online)	1601-0825
ISSN	1354-523X
DOI	10.1111/odi.14863
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 4427: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Effectiveness and safety of Buzzy device in needle-related procedures for children under twelve years of age: A systematic review and meta-analysis.

Jin, Faguang / Wang, Xiaofang / Qi, Maomao / Zhang, Wenhua / Zhang, Yongfeng

Medicine

2024 Volume 103, Issue 15, Page(s) e37522

Abstract: Background: Pain transcends simple physiology, encompassing biological, emotional, psychological, and social facets. Children show pronounced immediate and enduring responses to pain-related procedures. The aim of this meta-analysis is to investigate ... ...

Abstract	Background: Pain transcends simple physiology, encompassing biological, emotional, psychological, and social facets. Children show pronounced immediate and enduring responses to pain-related procedures. The aim of this meta-analysis is to investigate the efficacy and safety of the Buzzy device for needle-related procedures in children aged twelve years or younger. Methods: PubMed, Web of Science, and Embase were searched from inception to July 2023. Only randomized controlled trials utilizing the Buzzy device for needle-related procedures in children under twelve years old were included. Two reviewers independently conducted study selection, data extraction, and risk of bias assessment. Random-effects models were utilized, and analyses were performed using mean differences or standardized mean differences as well as risk ratios. Results: A total of 19 studies were included, involving 2846 participants (Buzzy = 1095, Control = 1751). Compared to no intervention, the Buzzy device significantly reduced pain response [self-report SMD = -1.90 (-2.45, -1.36), parental SMD = -3.04 (-4.09, -1.99), observer SMD = -2.88 (-3.75, -2.02)] and anxiety scores [self-report SMD = -1.97 (-3.05, -0.88), parental SMD = -2.01 (-2.93, -1.08), observer SMD = -1.92 (-2.64, -1.19)]. Compared to virtual reality (VR), the Buzzy device reduced self-reported anxiety levels SMD = -0.47 (-0.77, -0.17), and compared to distraction cards, the Buzzy device reduced parental and observer-reported pain [parental SMD = -0.85 (-1.22, -0.48), observer SMD = -0.70 (-1.00, -0.40)] and anxiety [parental SMD = -0.96 (-1.46, -0.47), observer SMD = -0.91 (-1.40, -0.42)]. Subgroup analysis results showed that procedure type, patient age, measurement scales used, and distance of operation were not the reason of heterogeneity. The summarized first puncture attempt success rate did not differ from other interventions. There were no significant adverse events in the included studies. Conclusion: The Buzzy device reduces pain and anxiety in children during needle procedures, ensuring success and safety. Additionally, the effectiveness of the Buzzy device in reducing pain during venipuncture is superior when compared to its effectiveness during intramuscular injections.
MeSH term(s)	Child ; Humans ; Anxiety/etiology ; Anxiety/prevention & control ; Anxiety Disorders ; Emotions ; Injections, Intramuscular ; Pain/etiology ; Pain/prevention & control
Language	English
Publishing date	2024-04-12
Publishing country	United States
Document type	Meta-Analysis ; Systematic Review ; Journal Article
ZDB-ID	80184-7
ISSN	1536-5964 ; 0025-7974
ISSN (online)	1536-5964
ISSN	0025-7974
DOI	10.1097/MD.0000000000037522
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Ua VI Zs.171: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article: Insight into the effect of chemical structure for microbial lignite methanation.

Yang, Lin / Zhang, Yongfeng / Hao, Zhifei / Zhang, Junying

Heliyon

2023 Volume 9, Issue 8, Page(s) e18352

Abstract: The chemical structure of lignite plays a fundamental role in microbial degradation, which can be altered to increase gas production. In this study, the structural changes in lignite were analyzed by conducting pretreatment and biomethane gas production ... ...

Abstract	The chemical structure of lignite plays a fundamental role in microbial degradation, which can be altered to increase gas production. In this study, the structural changes in lignite were analyzed by conducting pretreatment and biomethane gas production experiments using crushing and ball milling processes, respectively. The results revealed that different particle size ranges of lignite considerably influence gas production. The maximum methane yield under both treatments corresponded to a particle size range of 400-500 mesh. The gas production after ball milling was higher than that after crushing, irrespective of particle size. Compared with lignite subjected to crushing, that subjected to ball milling exhibited more oxygen-containing functional groups, less coalification, more disordered structures, and small aromatic ring structures, demonstrating more unstable properties, which are typically favorable to microbial flora for the utilization and degradation of lignite. Additionally, a symbiotic microbial community comprising multiple species was established during the microbial degradation of lignite into biogas. This study provides new insights and a strong scientific foundation for further research on microbial lignite methanation.
Language	English
Publishing date	2023-07-16
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2023.e18352
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article: Chronic Mucocutaneous Candidiasis: A Case Report.

Wang, Zhensheng / Zhang, Yongfeng / Ma, Weiyuan

Clinical, cosmetic and investigational dermatology

2023 Volume 16, Page(s) 231–236

Abstract: Chronic mucocutaneous candidiasis (CMC) is a rare infectious skin disease. This study reported a case of CMC in a child with clinical manifestations of oral mucosal leukoplakia and erythema and crust-like thick scabs on the skin of the face and upper ... ...

Abstract	Chronic mucocutaneous candidiasis (CMC) is a rare infectious skin disease. This study reported a case of CMC in a child with clinical manifestations of oral mucosal leukoplakia and erythema and crust-like thick scabs on the skin of the face and upper limbs. Microscopic fungal examination revealed a large amount of pseudohyphae, and the fungal culture indicated
Language	English
Publishing date	2023-01-25
Publishing country	New Zealand
Document type	Case Reports
ZDB-ID	2494852-4
ISSN	1178-7015
ISSN	1178-7015
DOI	10.2147/CCID.S396802
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Hydrothermal synthesis and formation mechanism of controllable magnesium silicate nanotubes derived from coal fly ash.

Gong, Yanbing / Chen, Muyang / Zhang, Yongfeng / Wu, Liying

Nanotechnology

2023 Volume 34, Issue 36

Abstract: A novel controllable magnesium silicate nanotube (MSN) material derived from coal fly ash was successfully synthesized via a hydrothermal process for the first time, and the reaction conditions and mechanism of synthesizing MSN materials from magnesium ... ...

Abstract	A novel controllable magnesium silicate nanotube (MSN) material derived from coal fly ash was successfully synthesized via a hydrothermal process for the first time, and the reaction conditions and mechanism of synthesizing MSN materials from magnesium oxide and sodium silicate extracted from the fly ash were studied. The optimal preparation conditions are temperature = 220 °C, pH = 13.5, and Mg: Si molar ratio = 3:2, and the tubular structure gradually appeared and showed controllable and regular growth with the increase of synthesis time. The mechanism revealed that with the gradual dissolution of brucite into the sodium silicate solution, the reaction product begins to crystallize and transform from an initial sheet-like structure to a tubular structure, and finally becomes a uniformly arranged nanotube. The formation process of MSN follows Pauling's fourth rule, Si-O tetrahedral coordination and Mg-OH octahedral coordination is further condensed to form a two-layer structure by the action of active oxygen, then the sheet is rolled into a tube under its structural stress. The growth of both outer tubular diameter and inner tubular diameter has good linear law and controllable, and the growth rate are 0.289 nm h
Language	English
Publishing date	2023-06-19
Publishing country	England
Document type	Journal Article
ZDB-ID	1362365-5
ISSN	1361-6528 ; 0957-4484
ISSN (online)	1361-6528
ISSN	0957-4484
DOI	10.1088/1361-6528/acda9f
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Dispersed fringe cophasing method based on principal component analysis.

Zhang, Yongfeng / Xian, Hao / Rao, Changhui

Optics letters

2023 Volume 48, Issue 3, Page(s) 696–699

Abstract: With the success of the Webb telescope, dispersed fringe sensing (DFS), with the significant merit of a large capture range, is proving to be a promising cophasing approach for a large-aperture segmented telescope. In this Letter, a novel, to the best of ...

Abstract	With the success of the Webb telescope, dispersed fringe sensing (DFS), with the significant merit of a large capture range, is proving to be a promising cophasing approach for a large-aperture segmented telescope. In this Letter, a novel, to the best of our knowledge, piston error extraction method based on principal component analysis (PCA) technology is proposed. In this method, all the one-dimension intensity distributions along the dispersion axis for different interference positions are regarded as a set of random phase-shifted interference signals. PCA technology is utilized to obtain its corresponding continuous principal phase and the piston error could be directly estimated proportionally from the slope of the phase-wavenumber line. This method avoids nonlinear operations, similar to Shi's traditional framework; no active move is needed for fine cophasing, and the method is also free of characteristic constant calibration in sidelobe peak displacement- and slope-based methods. Preliminary simulations of the method's coarse-then-fine cophasing ability with high accuracy are presented here to show its potential.
Language	English
Publishing date	2023-02-01
Publishing country	United States
Document type	Journal Article
ISSN	1539-4794
ISSN (online)	1539-4794
DOI	10.1364/OL.474314
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: The value of gene Xpert MTB / RIF, ADA, TB-DNA in the early diagnosis of TB meningitis.

Yang, Han / Li, Aifang / Zhang, Yongfeng / Yang, Yuanli

Cellular and molecular biology (Noisy-le-Grand, France)

2023 Volume 69, Issue 6, Page(s) 141–145

Abstract: This study was to explore the expression and correlation between gene Xpert MTB / RIF, ADA, and TB-DNA in TB meningitis. For this purpose, we selected 102 patients in the TB meningitis progression diagnosed and treated in our hospital from January 2019 ... ...

Abstract	This study was to explore the expression and correlation between gene Xpert MTB / RIF, ADA, and TB-DNA in TB meningitis. For this purpose, we selected 102 patients in the TB meningitis progression diagnosed and treated in our hospital from January 2019 to December 2020, and another 100 patients in the non-TB meningitis group were selected for the control experiment. Two sets of CSF samples were taken to analyze the gene Xpert MTB / RIF positive rate and the correlation between the expression and the progression of tuberculous meningitis by testing the levels of ADA and TB-DNA in the patient body using an automatic biochemical analyzer. Research indicated that The levels of gene Xpert MTB / RIF, ADA, and TB-DNA in the non-tuberculous meningitis group were lower than those in the tuberculous meningitis group (P<0.05; Levels of gene Xpert MTB / RIF, ADA, and TB-DNA were higher (P<0.05) in patients with group III tuberculous meningitis compared with those under grades I-II tuberculous meningitis, and levels of gene Xpert MTB / RIF, ADA, and TB-DNA were higher (P<0.05) in patients with group VI tuberculous meningitis compared with group III tuberculous meningitis; Gene Xpert MTB / RIF, ADA, TB-DNA) as factors occurring in TB meningitis progression, and all three were associated (P<0.05) with TB meningitis progression; Gene Xpert MTB / RIF, ADA showed a positive correlation (r = 0.296, P = 0.002); Gene Xpert MTB / RIF, TB-DNA showed a positive correlation (r = 0.422, P = 0.001); ADA, TB-DNA showed a positive correlation (r = 0.366, P = 0.001). It was concluded that Gene X-Pert MTB / RIF, ADA, and TB-DNA showed high levels in TB meningitis progression, and as the disease worsened, all three showed a positive association in TB meningitis progression.
MeSH term(s)	Humans ; DNA ; Early Diagnosis ; Hospitals ; Meningitis
Chemical Substances	DNA (9007-49-2)
Language	English
Publishing date	2023-06-30
Publishing country	France
Document type	Journal Article
ZDB-ID	1161779-2
ISSN	1165-158X ; 0145-5680
ISSN (online)	1165-158X
ISSN	0145-5680
DOI	10.14715/cmb/2023.69.6.21
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 3812: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Book ; Online: LightLM

Mei, Kai / Zhang, Yongfeng

A Lightweight Deep and Narrow Language Model for Generative Recommendation

2023

Abstract: This paper presents LightLM, a lightweight Transformer-based language model for generative recommendation. While Transformer-based generative modeling has gained importance in various AI sub-fields such as NLP and vision, generative recommendation is ... ...

Abstract	This paper presents LightLM, a lightweight Transformer-based language model for generative recommendation. While Transformer-based generative modeling has gained importance in various AI sub-fields such as NLP and vision, generative recommendation is still in its infancy due to its unique demand on personalized generative modeling. Existing works on generative recommendation often use NLP-oriented Transformer architectures such as T5, GPT, LLaMA and M6, which are heavy-weight and are not specifically designed for recommendation tasks. LightLM tackles the issue by introducing a light-weight deep and narrow Transformer architecture, which is specifically tailored for direct generation of recommendation items. This structure is especially apt for straightforward generative recommendation and stems from the observation that language model does not have to be too wide for this task, as the input predominantly consists of short tokens that are well-suited for the model's capacity. We also show that our devised user and item ID indexing methods, i.e., Spectral Collaborative Indexing (SCI) and Graph Collaborative Indexing (GCI), enables the deep and narrow Transformer architecture to outperform large-scale language models for recommendation. Besides, to address the hallucination problem of generating items as output, we propose the constrained generation process for generative recommenders. Experiments on real-world datasets show that LightLM outperforms various competitive baselines in terms of both recommendation accuracy and efficiency. The code can be found at https://github.com/dongyuanjushi/LightLM.
Keywords	Computer Science - Information Retrieval ; Computer Science - Computation and Language
Subject code	004 ; 600
Publishing date	2023-10-26
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Book ; Online: ExplainableFold

Tan, Juntao / Zhang, Yongfeng

Understanding AlphaFold Prediction with Explainable AI

2023

Abstract: This paper presents ExplainableFold, an explainable AI framework for protein structure prediction. Despite the success of AI-based methods such as AlphaFold in this field, the underlying reasons for their predictions remain unclear due to the black-box ... ...

Abstract	This paper presents ExplainableFold, an explainable AI framework for protein structure prediction. Despite the success of AI-based methods such as AlphaFold in this field, the underlying reasons for their predictions remain unclear due to the black-box nature of deep learning models. To address this, we propose a counterfactual learning framework inspired by biological principles to generate counterfactual explanations for protein structure prediction, enabling a dry-lab experimentation approach. Our experimental results demonstrate the ability of ExplainableFold to generate high-quality explanations for AlphaFold's predictions, providing near-experimental understanding of the effects of amino acids on 3D protein structure. This framework has the potential to facilitate a deeper understanding of protein structures. Comment: This work has been accepted for presentation at the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)
Keywords	Computer Science - Artificial Intelligence ; Computer Science - Machine Learning
Subject code	006
Publishing date	2023-01-27
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED