Log in

Relevant bibliographies by topics / CRF model / Journal articles

To see the other types of publications on this topic, follow the link: CRF model.

Journal articles on the topic 'CRF model'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'CRF model.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Sangidorj, Odongua, Seung Hee Yang, Hye Ryoun Jang, et al. "Bone marrow-derived endothelial progenitor cells confer renal protection in a murine chronic renal failure model." American Journal of Physiology-Renal Physiology 299, no. 2 (2010): F325—F335. http://dx.doi.org/10.1152/ajprenal.00019.2010.

Full text

Abstract:

Endothelial cell damage and impaired angiogenesis substantially contribute to the progression of chronic renal failure (CRF). The effect of endothelial progenitor cell (EPC) treatment on the progression of CRF is yet to be determined. We performed 5/6 nephrectomy to induce CRF in C57BL/6 mice. EPCs were isolated from bone marrow, grown in conditioned medium, and characterized with surface marker analysis. The serial changes in kidney function and histological features were scrutinized in CRF mice and EPC-treated CRF (EPC-CRF) mice. Adoptively transferred EPCs were present at the glomeruli and

APA, Harvard, Vancouver, ISO, and other styles

2

Wang, Yunxia. "The application effect of the Rasch measurement model combined with the CRF model: An analysis based on English discourse." PLOS ONE 19, no. 8 (2024): e0309001. http://dx.doi.org/10.1371/journal.pone.0309001.

Full text

Abstract:

To analyze English discourse more accurately and provide more detailed feedback information, this study applies Rasch measurement and Conditional Random Field (CRF) models to English discourse analysis. The Rasch measurement model is widely used to evaluate and quantify the potential traits of individuals, and it has remarkable advantages in measurement and evaluation. By combining the CRF model, the Rasch model is employed to model the structural and semantic information in the discourse and use this model to carry out sequence labeling, to enhance the ability to capture the internal relation

APA, Harvard, Vancouver, ISO, and other styles

3

Xu, Hesheng, and Bin Hu. "Legal Text Recognition Using LSTM-CRF Deep Learning Model." Computational Intelligence and Neuroscience 2022 (March 17, 2022): 1–10. http://dx.doi.org/10.1155/2022/9933929.

Full text

Abstract:

In legal texts, named entity recognition (NER) is researched using deep learning models. First, the bidirectional (Bi)-long short-term memory (LSTM)-conditional random field (CRF) model for studying NER in legal texts is established. Second, different annotation methods are used to compare and analyze the entity recognition effect of the Bi-LSTM-CRF model. Finally, other objective loss functions are set to compare and analyze the entity recognition effect of the Bi-LSTM-CRF model. The research results show that the F1 value of the model trained on the word sequence labeling corpus on the named

APA, Harvard, Vancouver, ISO, and other styles

4

Li, Hui, Lin Yu, Jie Zhang, and Ming Lyu. "Fusion Deep Learning and Machine Learning for Heterogeneous Military Entity Recognition." Wireless Communications and Mobile Computing 2022 (January 17, 2022): 1–11. http://dx.doi.org/10.1155/2022/1103022.

Full text

Abstract:

With respect to the fuzzy boundaries of military heterogeneous entities, this paper improves the entity annotation mechanism for entity with fuzzy boundaries based on related research works. This paper applies a BERT-BiLSTM-CRF model fusing deep learning and machine learning to recognize military entities, and thus, we can construct a smart military knowledge base with these entities. Furthermore, we can explore many military AI applications with the knowledge base and military Internet of Things (MIoT). To verify the performance of the model, we design multiple types of experiments. Experimen

APA, Harvard, Vancouver, ISO, and other styles

5

Wang, Yang, and Zhengjie Zhu. "The Application of Deep Learning Model in Recruitment Decision." Wireless Communications and Mobile Computing 2022 (March 2, 2022): 1–13. http://dx.doi.org/10.1155/2022/9645830.

Full text

Abstract:

With the rapid development of social economy, the competition of human resources is becoming more and more fierce. Recruitment, as the main way for enterprises to obtain talents, determines the future development of enterprises to a great extent. Compared with Western advanced countries, the research on recruitment in China started late, the overall research level is relatively backward, and most of the relevant technical means and analytical methods are introduced from advanced countries. The existing literature is still relatively scattered, which is not conducive to the rapid development of

APA, Harvard, Vancouver, ISO, and other styles

6

Bell, Robert L., Ginger S. Withers, Frans A. Kuypers, Wolfgang Stehr, and Aditi Bhargava. "Stress and corticotropin releasing factor (CRF) promote necrotizing enterocolitis in a formula-fed neonatal rat model." PLOS ONE 16, no. 6 (2021): e0246412. http://dx.doi.org/10.1371/journal.pone.0246412.

Full text

Abstract:

The etiology of necrotizing enterocolitis (NEC) is not known. Alterations in gut microbiome, mucosal barrier function, immune cell activation, and blood flow are characterized events in its development, with stress as a contributing factor. The hormone corticotropin-releasing factor (CRF) is a key mediator of stress responses and influences these aforementioned processes. CRF signaling is modulated by NEC’s main risk factors of prematurity and formula feeding. Using an established neonatal rat model of NEC, we tested hypotheses that: (i) increased CRF levels—as seen during stress—promote NEC i

APA, Harvard, Vancouver, ISO, and other styles

7

Clua, L., R. Suau, M. Guasch, et al. "P022 Development of a novel experimental model for studying creeping fat in Crohn's Disease." Journal of Crohn's and Colitis 18, Supplement_1 (2024): i275—i276. http://dx.doi.org/10.1093/ecco-jcc/jjad212.0152.

Full text

Abstract:

Abstract Background A characteristic feature of Crohn's disease (CD) is the transformation of mesenteric adipose tissue into creeping fat (CrF), which becomes inflamed and surrounds the transmural lesion. The occurrence of this condition has been associated with the severity of inflammation and post-surgical recurrence. In this study, we present a promising model of CD induced by 2,4,6-trinitro-benzene sulfonic acid (TNBS) that exhibits experimental CrF. This model provides an innovative tool for the development of surgical techniques as well as the implementation of new therapeutic strategies

APA, Harvard, Vancouver, ISO, and other styles

8

Cheng, Zibin, Zongtao Duan, Nana Bu, et al. "ERNIE-based Named Entity Recognition Method for Traffic Accident Cases." Journal of Physics: Conference Series 2589, no. 1 (2023): 012020. http://dx.doi.org/10.1088/1742-6596/2589/1/012020.

Full text

Abstract:

Abstract Traffic accident case named entity recognition, which helps mine key information in traffic accident texts, plays a vital role in downstream tasks such as the construction of knowledge graphs in road traffic and intelligent policing. In this paper, we construct a named entity recognition model based on the EDE (Entity Data Enhancement)-ERNIE-Bidirectional Gated Recurrent Unit Network (BiGRU)-Conditional Random Field (CRF) to address the current situation of low traffic accident case data and poor recognition of long-text entities. First, the amount of accident case data is enhanced us

APA, Harvard, Vancouver, ISO, and other styles

9

Buscombe, Daniel, and Paul Grams. "Probabilistic Substrate Classification with Multispectral Acoustic Backscatter: A Comparison of Discriminative and Generative Models." Geosciences 8, no. 11 (2018): 395. http://dx.doi.org/10.3390/geosciences8110395.

Full text

Abstract:

We propose a probabilistic graphical model for discriminative substrate characterization, to support geological and biological habitat mapping in aquatic environments. The model, called a fully-connected conditional random field (CRF), is demonstrated using multispectral and monospectral acoustic backscatter from heterogeneous seafloors in Patricia Bay, British Columbia, and Bedford Basin, Nova Scotia. Unlike previously proposed discriminative algorithms, the CRF model considers both the relative backscatter magnitudes of different substrates and their relative proximities. The model therefore

APA, Harvard, Vancouver, ISO, and other styles

10

Al-Majid, Sadeeka, and D. Patricia Gray. "A Biobehavioral Model for the Study of Exercise Interventions in Cancer-related Fatigue." Biological Research For Nursing 10, no. 4 (2009): 381–91. http://dx.doi.org/10.1177/1099800408324431.

Full text

Abstract:

Cancer-related fatigue (CRF) is a multifactorial, biobehavioral phenomenon experienced by the majority of persons with cancer. It has negative consequences on the individual's physical functioning and quality of life. An array of biological, psychobehavioral, and functional mechanisms contributes to its occurrence. A relatively large number of studies have examined the effect of physical exercise on CRF over the past few decades. Most of these studies did not specifically examine the effect of physical exercise on the biobehavioral mechanisms underlying CRF. For the most part, these studies ha

APA, Harvard, Vancouver, ISO, and other styles

11

Fan, Runyu, Lizhe Wang, Jining Yan, Weijing Song, Yingqian Zhu, and Xiaodao Chen. "Deep Learning-Based Named Entity Recognition and Knowledge Graph Construction for Geological Hazards." ISPRS International Journal of Geo-Information 9, no. 1 (2019): 15. http://dx.doi.org/10.3390/ijgi9010015.

Full text

Abstract:

Constructing a knowledge graph of geological hazards literature can facilitate the reuse of geological hazards literature and provide a reference for geological hazard governance. Named entity recognition (NER), as a core technology for constructing a geological hazard knowledge graph, has to face the challenges that named entities in geological hazard literature are diverse in form, ambiguous in semantics, and uncertain in context. This can introduce difficulties in designing practical features during the NER classification. To address the above problem, this paper proposes a deep learning-ba

APA, Harvard, Vancouver, ISO, and other styles

12

Xiang, Yanmin, Hongye He, and Jin Zheng. "Aspect Term Extraction Based on MFE-CRF." Information 9, no. 8 (2018): 198. http://dx.doi.org/10.3390/info9080198.

Full text

Abstract:

This paper is focused on aspect term extraction in aspect-based sentiment analysis (ABSA), which is one of the hot spots in natural language processing (NLP). This paper proposes MFE-CRF that introduces Multi-Feature Embedding (MFE) clustering based on the Conditional Random Field (CRF) model to improve the effect of aspect term extraction in ABSA. First, Multi-Feature Embedding (MFE) is proposed to improve the text representation and capture more semantic information from text. Then the authors use kmeans++ algorithm to obtain MFE and word clustering to enrich the position features of CRF. Fi

APA, Harvard, Vancouver, ISO, and other styles

13

Li, Z., and X. Zhang. "RESEARCH ON NAMED ENTITY RECOGNITION METHODS FOR URBAN UNDERGROUND SPACE DISASTERS BASED ON TEXT INFORMATION EXTRACTION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 13, 2023): 547–52. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-547-2023.

Full text

Abstract:

Abstract. Urban underground space is a complex spatial scenario that is highly susceptible to disasters. To achieve entity recognition in textual information related to urban underground space disasters, this study proposes the ALBERT-BiLSTM-CRF model. The urban underground space disaster text data is firstly encoded using the ALBERT model, which captures the deep semantic information of words in the context. The encoded data is then fed into a BiLSTM network to obtain hidden state vectors for each word, enhancing the feature representation of words. Finally, these vectors are input into a CRF

APA, Harvard, Vancouver, ISO, and other styles

14

Boers, Reinout, Fred Bosveld, Henk Klein Baltink, Wouter Knap, Erik van Meijgaard, and Wiel Wauben. "Observing and Modelling the Surface Radiative Budget and Cloud Radiative Forcing at the Cabauw Experimental Site for Atmospheric Research (CESAR), the Netherlands, 2009–17." Journal of Climate 32, no. 21 (2019): 7209–25. http://dx.doi.org/10.1175/jcli-d-18-0828.1.

Full text

Abstract:

Abstract A dataset of 9 years in duration (2009–17) of clouds and radiation was obtained at the Cabauw Experimental Site for Atmospheric Research (CESAR) in the Netherlands. Cloud radiative forcings (CRF) were derived from the dataset and related to cloud cover and temperature. Also, the data were compared with RCM output. Results indicate that there is a seasonal cycle (i.e., winter, spring, summer, and autumn) in longwave (CRF-LW: 48.3, 34.4, 30.8, and 38.7 W m−2) and shortwave (CRF-SW: −23.6, −60.9, −67.8, and −32.9 W m−2) forcings at CESAR. Total CRF is positive in winter and negative in s

APA, Harvard, Vancouver, ISO, and other styles

15

Tian, Y. Edward, Lan-Hsin Wu, William T. Mueller, and Fu-Zon Chung. "A Screening Strategy Based on Differential Binding of Ligand to Receptor and to Binding Proteins: Screening for Compounds Interacting with Corticotrophin-Releasing Factor-Binding Protein." Journal of Biomolecular Screening 4, no. 6 (1999): 319–26. http://dx.doi.org/10.1177/108705719900400607.

Full text

Abstract:

The ligand-receptor interaction has been commonly used in development of high throughput screening assays for new drugs. In some cases, an endogenous ligand interacts not only with membrane receptors but also with soluble binding proteins. Corticotrophin-releasing factor (CRF) is an important stress neurotransmitter/hormone involved in both the central and peripheral nervous systems. CRF exerts its function by interacting with CRFR1 and CRFR2 receptors. In addition, CRF-binding protein (CRF-BP) binds CRF with high affinity. Accordingly, CRF-BP has been suggested to play an important role in mo

APA, Harvard, Vancouver, ISO, and other styles

16

Zhang, Zun Yue, Liu Qing Yang, Ya Nan Yang та ін. "β-hydroxy-β-methylbutyrate Improves Chronic Renal Failure-Induced Sarcopenia in SD Rats by Regulating Autophagy". Journal of Nutritional Oncology 6, № 4 (2021): 186–95. http://dx.doi.org/10.34175/jno202104005.

Full text

Abstract:

Background Chronic renal failure-induced sarcopenia (CRF-S) seriously affects public health by increasing morbidity and mortality. This study evaluated the therapeutic eﬀects of β-hydroxy-β-methylbutyrate acid (HMB) and the underlying mechanism in an adenine-induced CRF-S rat model. Methods Sprague Dawley rats were divided into control, model (CRF-S), and HMB treatment (CRF-S+HMB) groups. The rats in the CRF-S group received 250 mg/kg/d adenine by oral gavage every day for 14 days, followed by administration every other day until the 28th day. In the CRF-S+HMB group, each rat was given 320 mg/

APA, Harvard, Vancouver, ISO, and other styles

17

Martínez-Arias, Laura, Sara Fernández-Villabrille, Cristina Alonso-Montes, et al. "Effects of a Losartan-Antioxidant Hybrid (GGN1231) on Vascular and Cardiac Health in an Experimental Model of Chronic Renal Failure." Nutrients 15, no. 8 (2023): 1820. http://dx.doi.org/10.3390/nu15081820.

Full text

Abstract:

Drugs providing antihypertensive and protective cardiovascular actions are of clinical interest in controlling cardiovascular events and slowing the progression of kidney disease. We studied the effect of a hybrid compound, GGN1231 (derived from losartan in which a powerful antioxidant was attached), on the prevention of cardiovascular damage, cardiac hypertrophy, and fibrosis in a rat model of severe chronic renal failure (CRF). CRF by a 7/8 nephrectomy was carried out in male Wistar rats fed with a diet rich in phosphorous (0.9%) and normal calcium (0.6%) for a period of 12 weeks until sacri

APA, Harvard, Vancouver, ISO, and other styles

18

Yulita, Intan Nurma. "Conditional Neural Fields untuk Pengenalan Fase Gerak." Jurnal Informatika: Jurnal Pengembangan IT 2, no. 1 (2017): 18–22. http://dx.doi.org/10.30591/jpit.v2i1.432.

Full text

Abstract:

Pengenalan pola merupakan area informatika yang banyak dikaji hingga saat ini. Hal ini dikarenakan pemanfaatannya yang luas diterapkan dalam kehidupan sehari-hari. Di dalam makalah ini disajikan pengenalan pola untuk gerakan khususnya fase gerak. Secara khusus pengenalan fase gerak di dalam makalah ini menitik beratkan pada pengenalan pola pada data berbentuk sekuensial. Pengenalan ini dapat saja mengabaikan faktor sekuensialnya, namun tentu akan menurunkan akurasi yang akan diperoleh. Oleh karena itu untuk mengatasi tantangan tersebut, maka ditawarkan penggunaan Conditional Neural Fields (CNF

APA, Harvard, Vancouver, ISO, and other styles

19

Gao, Jianyong, Liyi Ma, Chen Qing, et al. "A Health Monitoring Model for Circulation Water Pumps in a Nuclear Power Plant Based on Graph Neural Network Observer." Sensors 24, no. 14 (2024): 4486. http://dx.doi.org/10.3390/s24144486.

Full text

Abstract:

The health monitoring of CRF (circulation water) pumps is essential for prognostics and management in nuclear power plants. However, the operational status of CRF pumps can vary due to environmental factors and human intervention, and the interrelationships between monitoring parameters are often complex. Consequently, the existing methods face challenges in effectively assessing the health status of CRF pumps. In this study, we propose a health monitoring model for CRF pumps utilizing a meta graph transformer (MGT) observer. Initially, the meta graph transformer, a temporal–spatial graph lear

APA, Harvard, Vancouver, ISO, and other styles

20

Wang, Yiming, Lv Tian, Xia Liu, et al. "Multidimensional Predictors of Cancer-Related Fatigue Based on the Predisposing, Precipitating, and Perpetuating (3P) Model: A Systematic Review." Cancers 15, no. 24 (2023): 5879. http://dx.doi.org/10.3390/cancers15245879.

Full text

Abstract:

Cancer-related fatigue (CRF) is a widespread symptom with high prevalence in cancer patients, seriously affecting their quality of life. In the context of precision care, constructing machine learning-based prediction models for early screening and assessment of CRF is beneficial to this situation. To further understand the predictors of CRF for model construction, we conducted a comprehensive search in PubMed, Web of Science, Embase, and Scopus databases, combining CRF with predictor-related terms. A total of 27 papers met the inclusion criteria. We evaluated the above studies into three subg

APA, Harvard, Vancouver, ISO, and other styles

21

Maessen, Jan-Willem, and Xiaowei Shen. "Improving the Java memory model using CRF." ACM SIGPLAN Notices 35, no. 10 (2000): 1–12. http://dx.doi.org/10.1145/354222.353172.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Zhang, Z., P. Yang, G. Kattawar, et al. "Influence of ice particle model on retrieving cloud optical thickness from satellite measurements: model comparison and implication for climate study." Atmospheric Chemistry and Physics Discussions 9, no. 1 (2009): 1757–96. http://dx.doi.org/10.5194/acpd-9-1757-2009.

Full text

Abstract:

Abstract. The influence is investigated of the assumed ice particle microphysical and optical model on inferring ice cloud optical thickness (τ) from satellite measurements of the Earth's reflected shortwave radiance. Ice cloud τ are inferred, and subsequently compared, using products from MODIS (MODerate resolution Imaging Spectroradiometer) and POLDER (POLarization and Directionality of the Earth's Reflectances). POLDER τ values are found to be substantially smaller than those from collocated MODIS data. It is shown that this difference is caused primarily by the use of different ice particl

APA, Harvard, Vancouver, ISO, and other styles

23

Rufiyadi, Slamet, Wina Yusnaeni, and Hasan Basri. "Sistem Informasi Change Request Form (SI-CRF) dengan Metode V-Model." INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System 8, no. 2 (2023): 143. http://dx.doi.org/10.51211/isbi.v8i2.2586.

Full text

Abstract:

PT ADM is one of the companies incorporated in the Astra Group, Astra Industries Business unit and is the sole agent of Daihatsu. One of the activities in it is submission which is better known as Change Request Form (CRF). CRF one of the forms used for submission, ID requests related to requests related to IT software such as access rights, licenses, or network installation. submission of Change Request Form (CRF) from the side of Users (in this case as a requester) have difficulty both when filling out documents, approval requests to related superiors, and especially in tracking the status o

APA, Harvard, Vancouver, ISO, and other styles

24

Feng, Hongli. "A Blended Teaching Model of College English Based on Deep Learning." Journal of Electrical Systems 20, no. 6s (2024): 1505–15. http://dx.doi.org/10.52783/jes.3070.

Full text

Abstract:

Blending traditional face-to-face instruction with online learning components, this model aims to enhance student engagement and improve learning outcomes. This paper introduces a novel blended teaching model for college English courses, integrating Conditional Random Field (CRF) techniques with deep learning frameworks. Blended learning, combining traditional face-to-face instruction with online learning components, has gained traction in higher education for its potential to enhance student engagement and learning outcomes. CRF blended teaching integrates the principles of conditional random

APA, Harvard, Vancouver, ISO, and other styles

25

Qiang, Baohua, Xiangyu Zhou, Yufeng Wang, et al. "Chinese Event Extraction Method Based on Roformer Model." Wireless Communications and Mobile Computing 2023 (April 26, 2023): 1–8. http://dx.doi.org/10.1155/2023/8268651.

Full text

Abstract:

Event extraction is an important research direction in the field of natural language processing. The current Chinese event extraction field still suffers from errors in the pretraining and fine-tuning stages, inability to directly handle texts with more than 512 tokens, and inaccurate event extraction due to insufficient semantic sample diversity. In this paper, we propose a Chinese event extraction method RoformerFC (Roformer model with FGM and CRF) based on the Roformer model to address the above problems. Firstly, our method utilizes the Roformer model based on rotary position embedding, wh

APA, Harvard, Vancouver, ISO, and other styles

26

Wang, Yumeng, Sabina Y. van der Zanden, Suzanne van Leerdam, et al. "Induction of Fatigue by Specific Anthracycline Cancer Drugs through Disruption of the Circadian Pacemaker." Cancers 14, no. 10 (2022): 2421. http://dx.doi.org/10.3390/cancers14102421.

Full text

Abstract:

Cancer-related fatigue (CRF) is the most devastating long-term side effect of many cancer survivors that confounds the quality of life for months to years after treatment. However, the cause of CRF is poorly understood. As a result, cancer survivors, at best, receive psychological support. Chemotherapy has been shown to increase the risk of CRF. Here, we study therapy-induced fatigue in a non-tumor-bearing mouse model with three different topoisomerase II-poisoning cancer drugs. These drugs either induce DNA damage and/or chromatin damage. Shortly before and several weeks after treatment, runn

APA, Harvard, Vancouver, ISO, and other styles

27

Hagan, P., S. Poole, and A. F. Bristow. "Immunosuppressive activity of corticotrophin-releasing factor. Inhibition of interleukin-1 and interleukin-6 production by human mononuclear cells." Biochemical Journal 281, no. 1 (1992): 251–54. http://dx.doi.org/10.1042/bj2810251.

Full text

Abstract:

Corticotrophin-releasing factor (CRF) from the hypothalamus stimulates corticotrophin (ACTH) secretion. Concentrations of CRF in the peripheral circulation are normally low, and increase during pregnancy due to CRF secretion by the placenta [Cunnah, Jessop, Besser & Rees (1987) J. Endocrinol. 113, 123-131], although CRF in maternal blood does not appear to stimulate the hypothalamo-pituitary-adrenal (HPA) axis [Potter, Behan, Fischer, Linton, Lowry & Vale (1991) Nature (London) 349, 423-426]. We have examined the possibility that the placental. CRF might contribute to the suppression o

APA, Harvard, Vancouver, ISO, and other styles

28

Cuéllar Hidalgo, Rodrigo, Raúl Pinto Elías, Juan-Manuel Torres-Moreno, Osslan Osiris Vergara Villegas, Gerardo Reyes Salgado, and Andrea Magadán Salazar. "Neural Architecture Comparison for Bibliographic Reference Segmentation: An Empirical Study." Data 9, no. 5 (2024): 71. http://dx.doi.org/10.3390/data9050071.

Full text

Abstract:

In the realm of digital libraries, efficiently managing and accessing scientific publications necessitates automated bibliographic reference segmentation. This study addresses the challenge of accurately segmenting bibliographic references, a task complicated by the varied formats and styles of references. Focusing on the empirical evaluation of Conditional Random Fields (CRF), Bidirectional Long Short-Term Memory with CRF (BiLSTM + CRF), and Transformer Encoder with CRF (Transformer + CRF) architectures, this research employs Byte Pair Encoding and Character Embeddings for vector representati

APA, Harvard, Vancouver, ISO, and other styles

29

Wu, Yingchao, Shuyao Zhou, Dajin Pi, et al. "Deciphering the Molecular Mechanism of Yifei-Sanjie Pill in Cancer-Related Fatigue." Journal of Oncology 2023 (February 13, 2023): 1–19. http://dx.doi.org/10.1155/2023/5486017.

Full text

Abstract:

Background. The incidence of cancer-related fatigue (CRF) is increasing, but its lack of clear pathogenesis makes its prevention and treatment difficult. Therefore, it is of great significance to clarify the pathogenesis of CRF and find effective methods to treat it. Methods. The CRF model was established by intraperitoneal injection of LLC cells in ICR mice to explore the pathogenesis of CRF and verify the therapeutic effect of the Yifei-Sanjie pill (YFSJ). The active components of YFSJ were found by LC/MS, the in vitro inflammatory infiltration model of skeletal muscle was constructed by TNF

APA, Harvard, Vancouver, ISO, and other styles

30

Wang, Ying-Wen, Yu-Che Ou, Hao Lin, et al. "Characteristics of Cancer-Related Fatigue and an Efficient Model to Identify Patients with Gynecological Cancer Seeking Fatigue-Related Management." Cancers 15, no. 7 (2023): 2181. http://dx.doi.org/10.3390/cancers15072181.

Full text

Abstract:

Cancer-related fatigue (CRF) is the most common somatic discomfort in patients with gynecological cancers. CRF is often overlooked; however, it can impair the patients’ quality of life considerably. This cross-sectional study aimed to identify the clinical characteristics of CRF in gynecological cancer patients. Questionnaires and the International Classification of Diseases 10th Revision (ICD-10) criteria were used to identify CRF. The enrolled patients were further categorized according to the amount of fatigue-related management received. Of the enrolled 190 patients, 40.0% had endometrial

APA, Harvard, Vancouver, ISO, and other styles

31

He, Lin, Shengnan Wang, and Xinran Cao. "Multi-Feature Fusion Method for Chinese Shipping Companies Credit Named Entity Recognition." Applied Sciences 13, no. 9 (2023): 5787. http://dx.doi.org/10.3390/app13095787.

Full text

Abstract:

Shipping Enterprise Credit Named Entity Recognition (NER) aims to recognize shipping enterprise credit entities from unstructured shipping enterprise credit texts. Aiming at the problem of low entity recognition rate caused by complex and diverse entities and nesting phenomenon in the field of shipping enterprise credit, a deep learning method based on multi-feature fusion is proposed to improve the recognition effect of shipping enterprise credit entities. In this study, the shipping enterprise credit dataset is manually labeled using the BIO labeling model, combining the pre-trained model Bi

APA, Harvard, Vancouver, ISO, and other styles

32

Wang, Zhengdi, Jeng-Shyang Pan, Qinyin Chen, and Shuangyuan Yang. "BiLSTM-CRF-KG: A Construction Method of Software Requirements Specification Graph." Applied Sciences 12, no. 12 (2022): 6016. http://dx.doi.org/10.3390/app12126016.

Full text

Abstract:

A requirement analysis is the basis and source of software system development, and its accuracy, consistency and completeness are the keys to determining software quality. However, at present, most software requirements specifications are prepared manually, which has some problems, such as inconsistency with business description, low preparation efficiency, being error prone and difficulty communicating effectively with business personnel. Aiming at the above problems, this paper realizes a construction model of the software requirements specification graph BiSLTM-CRF-KG by using natural langu

APA, Harvard, Vancouver, ISO, and other styles

33

Burghard, Marcella, Tim Takken, Merel M. Nap-van der Vlist, et al. "Physiological predictors of cardiorespiratory fitness in children and adolescents with cystic fibrosis without ventilatory limitation." Therapeutic Advances in Respiratory Disease 16 (January 2022): 175346662110701. http://dx.doi.org/10.1177/17534666211070143.

Full text

Abstract:

Objectives: [1] To investigate the cardiorespiratory fitness (CRF) levels in children and adolescents with cystic fibrosis (CF) with no ventilatory limitation (ventilatory reserve ⩾ 15%) during exercise, and [2] to assess which physiological factors are related to CRF. Methods: A cross-sectional study design was used in 8- to 18-year-old children and adolescents with CF. Cardiopulmonary exercise testing was used to determine peak oxygen uptake normalized to body weight as a measure of CRF. Patients were defined as having ‘low CRF’ when CRF was less than 82%predicted. Physiological predictors u

APA, Harvard, Vancouver, ISO, and other styles

34

Hernawan, Hernawan, Hartman Nugraha, Mukhtar Ridwan, and Fredrik Alfrets Makadada. "Influence of outdoor education learning models and mental toughness on cardiorespiratory fitness levels." SPORT TK-Revista EuroAmericana de Ciencias del Deporte 13 (November 13, 2024): 55. http://dx.doi.org/10.6018/sportk.635181.

Full text

Abstract:

This study aimed to determine the influence of the outdoor education learning models and mental toughness on cardiorespiratory fitness (CRF) levels. A quasi-experimental method was used, employing a 2x2 factorial design. The 2x2 factorial design in this study involved two learning models: the TGT (Team Games Tournament) and STAD (Student Teams Achievement Division), along with two levels of mental toughness: high and low. The sample consisted of 80 students from Jakarta State University, enrolled in recreational sports courses. The subjects in this study were given the TGT and STAD learning mo

APA, Harvard, Vancouver, ISO, and other styles

35

Ashebir, Desalegn, and Getahun Tadesse. "Named Entity Recognition for Hadiyya Language using BiLSTM-CRF Model." Indian Journal Of Science And Technology 15, no. 47 (2022): 2612–18. http://dx.doi.org/10.17485/ijst/v15i47.1090.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Sohn, B. J., T. Nakajima, M. Satoh, and H. S. Jang. "Impact of different definitions of clear-sky flux on the determination of longwave cloud radiative forcing: NICAM simulation results." Atmospheric Chemistry and Physics 10, no. 23 (2010): 11641–46. http://dx.doi.org/10.5194/acp-10-11641-2010.

Full text

Abstract:

Abstract. Using one month of the cloud-resolving Nonhydrostatic Icosahedral Atmospheric Model (NICAM) simulations, we examined the impact of different definitions of clear-sky flux on the determination of longwave cloud radiative forcing (CRF). Because the satellite-like cloud-free composite preferentially samples drier conditions relative to the all-sky mean state, the conventional clear-sky flux calculation using the all-sky mean state in the model may represent a more humid atmospheric state in comparison to the cloud-free state. The drier bias is evident for the cloud-free composite in the

APA, Harvard, Vancouver, ISO, and other styles

37

Singhal, Neha, and Anupa Siddhu. "Association of Leisure-Time Physical Activity With Cardiorespiratory Fitness in Indian Men." Journal of Physical Activity and Health 11, no. 2 (2014): 296–302. http://dx.doi.org/10.1123/jpah.2012-0029.

Full text

Abstract:

Background:The relationship between leisure-time physical activity (LTPA) and cardiorespiratory fitness (CRF) is not clearly understood in Indian men. It is important to elucidate whether the duration or intensity of LTPA is responsible for increasing CRF. This will help in designing better physical activity intervention strategies for improving CRF in Indian men.Methods:Healthy nondiabetic urban Indian men with no history of coronary heart disease (CHD) were selected (n = 603; aged 22–64 years) and their energy intake and physical activity was determined using a questionnaire. Body fat (perce

APA, Harvard, Vancouver, ISO, and other styles

38

Meglio, Antonio Di, Stergios Christodoulidis, Davide Soldato, et al. "Abstract P4-11-01: Development of a clinico-bio-behavioral model for cancer-related fatigue (CRF) incorporating inflammatory biomarkers and proteomic data." Cancer Research 82, no. 4_Supplement (2022): P4–11–01—P4–11–01. http://dx.doi.org/10.1158/1538-7445.sabcs21-p4-11-01.

Full text

Abstract:

Abstract Background: We previously developed a clinico-behavioral model of CRF and reported an increased risk of severe CRF among survivors of breast cancer (BC) receiving adjuvant hormonal therapy (HT) (Di Meglio A, ASCO 2021). We now aim to comprehensively explore the contribution of relevant serum proteins in explaining CRF. We adopted a multimodal approach, both (1) hypothesis-driven, based on the rationale that deregulation of systemic inflammatory processes and mediators of immunologic or neuroendocrine activation are associated with vulnerability to CRF, and (2) discovery-driven, based

APA, Harvard, Vancouver, ISO, and other styles

39

Williams, C. L., J. M. Peterson, R. G. Villar, and T. F. Burks. "Corticotropin-releasing factor directly mediates colonic responses to stress." American Journal of Physiology-Gastrointestinal and Liver Physiology 253, no. 4 (1987): G582—G586. http://dx.doi.org/10.1152/ajpgi.1987.253.4.g582.

Full text

Abstract:

A new stress model in rats produced changes in intestinal function that resemble patterns of intestinal dysfunction associated with stress in humans: small intestinal transit was inhibited, large intestinal transit was stimulated, and fecal excretion was stimulated. To evaluate the role of corticotropin-releasing factor (CRF) in mediating the effects of stress on the intestine, we studied the actions of exogenous CRF on small and large intestinal transit in the rat and characterized the effects of pharmacological blockade of CRF receptors on stress-induced intestinal dysfunction. Administratio

APA, Harvard, Vancouver, ISO, and other styles

40

Castro, Alex, Antonio Gilberto Ferreira, Aparecida Maria Catai, Matheus Alejandro Bolina Amaral, Claudia Regina Cavaglieri, and Mara Patrícia Traina Chacon-Mikahil. "Metabolic Predictors of Cardiorespiratory Fitness Responsiveness to Continuous Endurance and High-Intensity Interval Training Programs: The TIMES Study—A Randomized Controlled Trial." Metabolites 14, no. 9 (2024): 512. http://dx.doi.org/10.3390/metabo14090512.

Full text

Abstract:

Background/Objectives: Cardiorespiratory fitness (CRF) levels significantly modulate the risk of cardiometabolic diseases, aging, and mortality. Nevertheless, there is a substantial interindividual variability in CRF responsiveness to a given standardized exercise dose despite the type of training. Predicting the responsiveness to regular exercise has the potential to contribute to personalized exercise medicine applications. This study aimed to identify predictive biomarkers for the classification of CRF responsiveness based on serum and intramuscular metabolic levels before continuous endura

APA, Harvard, Vancouver, ISO, and other styles

41

Maranhão Neto, Geraldo A., Antonio P. de Leon, Vitor A. Lira, and Paulo T. V. Farinatti. "Assessment of Cardiorespiratory Fitness without Exercise in Elderly Men with Chronic Cardiovascular and Metabolic Diseases." Journal of Aging Research 2012 (2012): 1–6. http://dx.doi.org/10.1155/2012/518045.

Full text

Abstract:

Low cardiorespiratory (CRF) is associated with health problems in elderly people, especially cardiovascular and metabolic disease. However, physical limitations in this population frequently preclude the application of aerobic tests. We developed a model to estimate CRF without aerobic testing in older men with chronic cardiovascular and metabolic diseases. Subjects aged from 60 to 91 years were randomly assigned into validation (n=67) and cross-validation (n=29) groups. A hierarchical linear regression model included age, self-reported fitness, and handgrip strength normalized to body weight

APA, Harvard, Vancouver, ISO, and other styles

42

Bugnicourt, Jean-Marc, Charlène Da Silveira, Abderrahmane Bengrine, et al. "Chronic renal failure alters endothelial function in cerebral circulation in mice." American Journal of Physiology-Heart and Circulatory Physiology 301, no. 3 (2011): H1143—H1152. http://dx.doi.org/10.1152/ajpheart.01237.2010.

Full text

Abstract:

We examined structure, composition, and endothelial function in cerebral arterioles after 4 wk of chronic renal failure (CRF) in a well-defined murine model (C57BL/6J and apolipoprotein E knockout female mice). We also determined quantitative expression of endothelial nitric oxide synthase (eNOS), phosphorylated eNOS (on serine 1177 and threonine 495), and caveolin-1; quantitative expression of markers of vascular inflammation or oxidative stress [Rock-1, Rock-2, VCAM-1, and peroxisome proliferator-activated receptor-γ (PPARγ)]; and the plasma concentration of l-arginine and asymmetric dimethy

APA, Harvard, Vancouver, ISO, and other styles

43

Jaariyah, Narti, and Ednawati Rainarli. "CONDITIONAL RANDOM FIELDS UNTUK PENGENALAN ENTITAS BERNAMA PADA TEKS BAHASA INDONESIA." Komputa : Jurnal Ilmiah Komputer dan Informatika 6, no. 1 (2017): 29–34. http://dx.doi.org/10.34010/komputa.v6i1.2474.

Full text

Abstract:

Pengenalan entitas bernama merupakan suatu proses untuk mengklasifikasi entitas nama seperti nama orang, lokasi, organisasi, waktu, dan kuantitas pada suatu teks. Untuk teks berbahasa Indonesia, pengenalan entitas bernama sudah pernah dilakukan menggunakan metode Hidden Markov Model (HMM) [1]. Pada perkembangannya, muncul metode Conditional Random Fields (CRF) yang merupakan perbaikan dari HMM. CRF sendiri memiliki banyak kelebihan dibandingkan metode Hidden Markov Model dan Maximum Entropy Markov Model. Hal ini terbukti pada penerapan pengenalan entitas bernama menggunakan metode CRF pada ber

APA, Harvard, Vancouver, ISO, and other styles

44

Zhang, Z., M. Y. Yang, and M. Zhou. "MULTI-SOURCE MULTI-SCALE HIERARCHICAL CONDITIONAL RANDOM FIELD MODEL FOR REMOTE SENSING IMAGE CLASSIFICATION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W4 (March 11, 2015): 293–300. http://dx.doi.org/10.5194/isprsannals-ii-3-w4-293-2015.

Full text

Abstract:

Fusion of remote sensing images and LiDAR data provides complimentary information for the remote sensing applications, such as object classification and recognition. In this paper, we propose a novel multi-source multi-scale hierarchical conditional random field (MSMSH-CRF) model to integrate features extracted from remote sensing images and LiDAR point cloud data for image classification. MSMSH-CRF model is then constructed to exploit the features, category compatibility of multi-scale images and the category consistency of multi-source data based on the regions. The output of the model repre

APA, Harvard, Vancouver, ISO, and other styles

45

Sloan, Robert A., Marco V. Scarzanella, Yuko Gando, and Susumu S. Sawada. "Accuracy of Non-Exercise Estimated Cardiorespiratory Fitness in Japanese Adults." International Journal of Environmental Research and Public Health 18, no. 23 (2021): 12288. http://dx.doi.org/10.3390/ijerph182312288.

Full text

Abstract:

Cardiorespiratory fitness (CRF) is an independent predictor of morbidity and mortality. In Japan, annual physical exams are mandatory in workplace settings, and most healthcare settings have electronic medical records (EMRs). However, in both settings, CRF is not usually determined, thereby limiting the potential for epidemiological investigations using EMR data. PURPOSE: To estimate CRF (mL/kg/min) using variables commonly recorded in EMRs. METHODS: Participants were 5293 Japanese adults (11.7% women) who completed an annual physical exam at a large gas company in Tokyo, Japan, in 2004. The m

APA, Harvard, Vancouver, ISO, and other styles

46

Wu, Liqin, and Meisen Pan. "English Grammar Detection Based on LSTM-CRF Machine Learning Model." Computational Intelligence and Neuroscience 2021 (August 17, 2021): 1–10. http://dx.doi.org/10.1155/2021/8545686.

Full text

Abstract:

Deep learning and neural network have been widely used in the field of speech, vocabulary, text, pictures, and other information processing fields, which has achieved excellent research results. Neural network algorithm and prediction model were used in this paper for the study and exploration of English grammar. Aiming at the application requirements of English grammar accuracy and standardization, we proposed a machine learning model based on LSTM-CRF to detect and analyze English grammar. This paper briefly summarized the development trend of deep learning and neural network algorithm and d

APA, Harvard, Vancouver, ISO, and other styles

47

Torres, Ana Beatriz Carvalho, Klebeson Jonnatas de Almeida Araujo, João Paulo Rodrigues dos Santos, et al. "COMBINED ASSOCIATION OF CARDIORESPIRATORY FITNESS AND PHYSICAL ACTIVITY WITH ADOLESCENT INHIBITORY CONTROL." Revista Contemporânea 4, no. 12 (2024): e7049. https://doi.org/10.56083/rcv4n12-211.

Full text

Abstract:

Adolescents undergo intense physical and hormonal changes that impact cognition. Although there is evidence linking cardiorespiratory fitness (CRF) and physical exercise to inhibitory control in adolescents, the combined association of these predictors is limited. Therefore, this study aimed to investigate the combined association of cardiorespiratory fitness (CRF) and physical activity (PA) with inhibitory control in adolescents. A total of 180 adolescents (16.7 ± 1.2 years) from IFPB were included in this cross-sectional study. CRF was assessed using the Progressive Aerobic Cardiovascular En

APA, Harvard, Vancouver, ISO, and other styles

48

Huang, Han, Hongyu Wang, and Dawei Jin. "A Low-Cost Named Entity Recognition Research Based on Active Learning." Scientific Programming 2018 (December 18, 2018): 1–10. http://dx.doi.org/10.1155/2018/1890683.

Full text

Abstract:

Named entity recognition (NER) is an indispensable and very important part of many natural language processing technologies, such as information extraction, information retrieval, and intelligent Q & A. This paper describes the development of the AL-CRF model, which is a NER approach based on active learning (AL). The algorithmic sequence of the processes performed by the AL-CRF model is the following: first, the samples are clustered using the k-means approach. Then, stratified sampling is performed on the produced clusters in order to obtain initial samples, which are used to train the b

APA, Harvard, Vancouver, ISO, and other styles

49

Wildannissa Pinasti and Lya Hulliyyatus Suadaa. "Named Entity Recognition in Statistical Dataset Search Queries." Jurnal Nasional Teknik Elektro dan Teknologi Informasi 13, no. 3 (2024): 171–77. http://dx.doi.org/10.22146/jnteti.v13i3.11580.

Full text

Abstract:

Search engines must understand user queries to provide relevant search results. Search engines can enhance their understanding of user intent by employing named entity recognition (NER) to identify the entity in the query. Knowing the types of entities in the query can be the initial step in helping search engines better understand search intent. In this research, a dataset was constructed using search query history from the Statistics Indonesia (Badan Pusat Statistik, BPS) website, and NER in query modeling was employed to extract entities from search queries related to statistical datasets.

APA, Harvard, Vancouver, ISO, and other styles

50

Liu, Yuexin, Lina Zhu, Kelong Cai, et al. "Relationship between Cardiorespiratory Fitness and Executive Function in Young Adults: Mediating Effects of Gray Matter Volume." Brain Sciences 12, no. 11 (2022): 1441. http://dx.doi.org/10.3390/brainsci12111441.

Full text

Abstract:

We evaluated the association between cardiorespiratory fitness (CRF) and executive function (EF) in young adults and the mediating effects of GMV on this relationship. This study involved 217 college students. An incremental load exercise program was used to evaluate VO2max. EF was estimated by the Flanker task, the 2-back task, and the more-odd shifting task, while structural magnetic resonance and region-based morphometry (RBM) were used to analyze GMV. The high CRF group had a shorter updating reaction time (RT) (p ≤ 0.05). CRF was positively correlated with the right orbital part of the mi

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!