scholarly journals Frequency of Neuroendocrine Tumor Studies: Using Latent Dirichlet Allocation and HJ-Biplot Statistical Methods

Mathematics ◽  
2021 ◽  
Vol 9 (18) ◽  
pp. 2281
Author(s):  
Karime Montes Escobar ◽  
José Luis Vicente-Villardon ◽  
Javier de la Hoz-M ◽  
Lelly María Useche-Castro ◽  
Daniel Fabricio Alarcón Cano ◽  
...  
Keyword(s):  
Neuroendocrine Tumors ◽  
Latent Dirichlet Allocation ◽  
Scientific Information ◽  
The United States ◽  
Pancreatic Tumors ◽  
Study Results ◽  
Before And After ◽  
Tumor Studies ◽  
New Interpretation ◽  
Dirichlet Allocation

Background: Neuroendocrine tumors (NETs) are severe and relatively rare and may affect any organ of the human body. The prevalence of NETs has increased in recent years; however, there seem to be more data on particular types, even though, despite the efforts of different guidelines, there is no consensus on how to identify different types of NETs. In this review, we investigated the countries that published the most articles about NETs, the most frequent organs affected, and the most common related topics. Methods: This work used the Latent Dirichlet Allocation (LDA) method to identify and interpret scientific information in relation to the categories in a set of documents. The HJ-Biplot method was also used to determine the relationship between the analyzed topics, by taking into consideration the years under study. Results: In this study, a literature review was conducted, from which a total of 7658 abstracts of scientific articles published between 1981 and 2020 were extracted. The United States, Germany, United Kingdom, France, and Italy published the majority of studies on NETs, of which pancreatic tumors were the most studied. The five most frequent topics were t_21 (clinical benefit), t_11 (pancreatic neuroendocrine tumors), t_13 (patients one year after treatment), t_17 (prognosis of survival before and after resection), and t_3 (markers for carcinomas). Finally, the results were put through a two-way multivariate analysis (HJ-Biplot), which generated a new interpretation: we grouped topics by year and discovered which NETs were the most relevant for which years. Conclusions: The most frequent topics found in our review highlighted the severity of NETs: patients have a poor prognosis of survival and a high probability of tumor recurrence.

scholarly journals The Current Research Landscape on the Artificial Intelligence Application in the Management of Depressive Disorders: A Bibliometric Analysis

2019 ◽  
Vol 16 (12) ◽  
pp. 2150 ◽  
Author(s):  
Bach Xuan Tran ◽  
Roger S. McIntyre ◽  
Carl A. Latkin ◽  
Hai Thanh Phan ◽  
Giang Thu Vu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Factor Analysis ◽  
Bibliometric Analysis ◽  
Exploratory Factor Analysis ◽  
Depressive Disorders ◽  
Latent Dirichlet Allocation ◽  
Rapid Development ◽  
The United States ◽  
Research Network ◽  
Dirichlet Allocation

Artificial intelligence (AI)-based techniques have been widely applied in depression research and treatment. Nonetheless, there is currently no systematic review or bibliometric analysis in the medical literature about the applications of AI in depression. We performed a bibliometric analysis of the current research landscape, which objectively evaluates the productivity of global researchers or institutions in this field, along with exploratory factor analysis (EFA) and latent dirichlet allocation (LDA). From 2010 onwards, the total number of papers and citations on using AI to manage depressive disorder have risen considerably. In terms of global AI research network, researchers from the United States were the major contributors to this field. Exploratory factor analysis showed that the most well-studied application of AI was the utilization of machine learning to identify clinical characteristics in depression, which accounted for more than 60% of all publications. Latent dirichlet allocation identified specific research themes, which include diagnosis accuracy, structural imaging techniques, gene testing, drug development, pattern recognition, and electroencephalography (EEG)-based diagnosis. Although the rapid development and widespread use of AI provide various benefits for both health providers and patients, interventions to enhance privacy and confidentiality issues are still limited and require further research.

scholarly journals Latent Dirichlet Allocation and t-Distributed Stochastic Neighbor Embedding Enhance Scientific Reading Comprehension of Articles Related to Enterprise Architecture

AI ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 179-194
Author(s):  
Nils Horn ◽  
Fabian Gampfer ◽  
Rüdiger Buchkremer
Keyword(s):  
Artificial Intelligence ◽  
Reading Comprehension ◽  
Enterprise Architecture ◽  
Latent Dirichlet Allocation ◽  
Scientific Information ◽  
Modeling Languages ◽  
Document Frequency ◽  
Short Period ◽  
Text Study ◽  
Dirichlet Allocation

As the amount of scientific information increases steadily, it is crucial to improve fast-reading comprehension. To grasp many scientific articles in a short period, artificial intelligence becomes essential. This paper aims to apply artificial intelligence methodologies to examine broad topics such as enterprise architecture in scientific articles. Analyzing abstracts with latent dirichlet allocation or inverse document frequency appears to be more beneficial than exploring full texts. Furthermore, we demonstrate that t-distributed stochastic neighbor embedding is well suited to explore the degree of connectivity to neighboring topics, such as complexity theory. Artificial intelligence produces results that are similar to those obtained by manual reading. Our full-text study confirms enterprise architecture trends such as sustainability and modeling languages.

Neuroendocrine Tumors of the Pancreas

2021 ◽  
Author(s):  
Katherine A. Morgan
Keyword(s):  
Surgical Management ◽  
Neuroendocrine Tumors ◽  
Clinical Presentation ◽  
Peptide Receptor Radionuclide Therapy ◽  
Operative Management ◽  
The United States ◽  
Pancreatic Tumors ◽  
Peptide Receptor ◽  
Clinical Syndromes ◽  
Clinical Detection

Pancreatic neuroendocrine tumors (PNETs) comprise a diverse, heterogeneous group of tumours that range in presentation and biologic behavior, including small, asymptomatic, incidentally discovered, nonfunctional neoplasms, functional tumors (both localizable and unlocalizable) with associated clinical syndromes, and diffuse metastatic disease. Based on its functional status, the malignancy of a PNET can vary, from the benign (insulinoma) to that which is commonly malignant more than 50% of the time (gastrinoma, somatostatinoma). According to a recent study, PNETs appear to be increasing in incidence or at least in clinical detection; currently the disorder accounts for 1 to 2% of pancreatic tumors and with a reported clinical incidence of one to five cases per million persons annually in the United States. Nonfunctional PNETs make up the majority of cases, and comprise 2% of all pancreatic malignancies. Treatment has been primarily done through surgical management, particularly via resection. However, medical management has played a more increased role for patients where the disease is advanced, encompassing biotherapy, chemotherapy, and targeted therapies such as peptide receptor radionuclide therapy (PRRT). For nonfunctional PNETs—insulinomas, gastrinomas, glucagonomas, somatostatinomas, and VIPomas—the epidemiology, biology of disease, clinical presentation and diagnosis, localization of tumor, operative management considerations, surgical management of primary tumor, and prognosis and outcomes of each are discussed. This review contains 6 figures, 18 tables, and 58 references Keywords: Pancreas, neuroendocrine tumor, gastrinoma, somatostatinoma, VIPoma, insulinoma, incidentaloma, glucagonoma, enucleation

Prooxidant effect of α-tocopherol in pancreatic tumors.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e16698-e16698
Author(s):  
Ekaterina I. Surikova ◽  
Elena M. Frantsiyants ◽  
Irina A. Goroshinskaya ◽  
Vladimir S. Trifanov ◽  
Viacheslav A. Aleynov ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Neuroendocrine Tumors ◽  
Serum Levels ◽  
Pancreatic Tumors ◽  
Blood Levels ◽  
Biochemical Method ◽  
Diene Conjugates ◽  
Prooxidant Effect ◽  
Study Results ◽  
Mixed Tumors

e16698 Background: The coexistence of neuroendocrine tumors and pancreatic adenocarcinoma is rare, and treatment of such mixed tumors is challenging due to the differences in their natural course and response to systemic therapy. There is growing evidence that vitamins affect the biology of pancreatic tumors. The purpose of the study was to measure concentrations of retinol (RET), α-tocopherol (α-TCP) and diene conjugates (DC) in the blood of patients with pancreatic cancer in order to reveal its pathogenetic characteristics. Methods: Blood levels of RET and α-TCP (ELISA methods, Cloud-Clone Corp, USA), their ratio and DC concentrations (biochemical method) were measured before treatment if 42 patients with pancreatic cancer: adenocarcinoma (AC), T1-3N0-1M0, n = 9; AC with a neuroendocrine component (AC+NE) (up to 30%), n = 21; neuroendocrine tumors (NET), T1-3N0-1M0, n = 12. 22 healthy men of similar age were controls. All patients gave their voluntary informed consent for the study. Results: RET levels in all patient were statistically significantly lower than in controls: in AC by 3.8 times, in AC+NE by 1.9 times, in NET by 3.7 times (p = 0.0000). Concentrations of α-TCP in AC were 1.6 times (p = 0.0011) lower than in controls, in AC+NE were similar, and in NET α-TCP was 1.5 times higher than in controls (p = 0.0000). The ratio of α-TCP/RET in all patients significantly exceeded control values: in AC by 2.2 times, in AC+NE by 1.6 times, in NET by 5.7 times (p = 0.0000). Levels of DC in all patients were higher than in controls: in AC by 2.5, in AC+NE by 2.1, in NET by 2.7 times (p = 0.0001). Conclusions: Changes in serum levels of RET and α-TCP differ in patients with AC, NET and mixed tumors, which causes changes in the balance of vitamins and can contribute to a prooxidant effect, as evidenced by an increase in DC levels.

Brief psycho-education for caregivers of persons with first episode psychosis

2018 ◽  
Vol 9 (01) ◽  
Author(s):  
Praful Prabhuappa Kapse ◽  
Manisha Kiran
Keyword(s):  
First Episode Psychosis ◽  
First Episode ◽  
Control Group ◽  
Episode Psychosis ◽  
Study Results ◽  
Before And After ◽  
Quasi Experimental ◽  
Expressed Emotions ◽  
Experimental Group ◽  
Group Family

Caring for the persons with first episode psychosis is challenging and demanding. It may lead to the increased burden, expressed emotions among the caregivers. The numerous studies have shown that high burden and negative expressed emotions among caregivers can lead to early relapse in the patients with first episode psychosis. To evaluate the effects of the brief psychoeducation on the caregivers burden and expressed emotions. A quasi experimental - before and after with control group research design was adopted for the study. A total of 60 caregivers have participated in the study, of which 30 caregivers in experimental group and 30 caregivers in the control group. Family Burden Interview Schedule (Pai and Kapoor, 1981) and Attitude Questionnaire (Sethi et al., 1981) was used to assess caregiver's burden and expressed emotions. At end of the psychoeducation intervention, burden among caregivers and negative expressed emotions of the caregivers have significantly reduced. The positive expressed emotions have been increased. Study results demonstrates the importance of psychoeducation intervention in reducing the burden and negative expressed emotions.

Similarity Detection Using Latent Semantic Analysis Algorithm

2018 ◽  
Vol 6 (8) ◽  
pp. 102
Author(s):  
Priyanka R. Patil ◽  
Shital A. Patil
Keyword(s):  
Latent Semantic Analysis ◽  
Latent Dirichlet Allocation ◽  
Semantic Analysis ◽  
Mining Method ◽  
Research Papers ◽  
Information Measures ◽  
Automated Software ◽  
Day By Day ◽  
Ways Of Life ◽  
Dirichlet Allocation

Similarity View is an application for visually comparing and exploring multiple models of text and collection of document. Friendbook finds ways of life of clients from client driven sensor information, measures the closeness of ways of life amongst clients, and prescribes companions to clients if their ways of life have high likeness. Roused by demonstrate a clients day by day life as life records, from their ways of life are separated by utilizing the Latent Dirichlet Allocation Algorithm. Manual techniques can't be utilized for checking research papers, as the doled out commentator may have lacking learning in the exploration disciplines. For different subjective views, causing possible misinterpretations. An urgent need for an effective and feasible approach to check the submitted research papers with support of automated software. A method like text mining method come to solve the problem of automatically checking the research papers semantically. The proposed method to finding the proper similarity of text from the collection of documents by using Latent Dirichlet Allocation (LDA) algorithm and Latent Semantic Analysis (LSA) with synonym algorithm which is used to find synonyms of text index wise by using the English wordnet dictionary, another algorithm is LSA without synonym used to find the similarity of text based on index. LSA with synonym rate of accuracy is greater when the synonym are consider for matching.

Changes in Perceptions of Filipino Immigrants about Themselves and of Americans Before and After Coming to the United States

2019 ◽  
Author(s):  
Gremil Alessandro Naz
Keyword(s):  
United States ◽  
Symbolic Interaction ◽  
The United States ◽  
The Philippines ◽  
Appraisal Theory ◽  
American Values ◽  
The Us ◽  
Before And After ◽  
Symbolic Interaction Theory ◽  
Filipino Immigrants

<p>This paper examines the changes in Filipino immigrants’ perceptions about themselves and of Americans before and after coming to the United States. Filipinos have a general perception of themselves as an ethnic group. They also have perceptions about Americans whose media products regularly reach the Philippines. Eleven Filipinos who have permanently migrated to the US were interviewed about their perceptions of Filipinos and Americans. Before coming to the US, they saw themselves as hardworking, family-oriented, poor, shy, corrupt, proud, adaptable, fatalistic, humble, adventurous, persevering, gossipmonger, and happy. They described Americans as rich, arrogant, educated, workaholic, proud, powerful, spoiled, helpful, boastful, materialistic, individualistic, talented, domineering, friendly, accommodating, helpful, clean, and kind. Most of the respondents changed their perceptions of Filipinos and of Americans after coming to the US. They now view Filipinos as having acquired American values or “Americanized.” On the other hand, they stopped perceiving Americans as a homogenous group possessing the same values after they got into direct contact with them. The findings validate social perception and appraisal theory, and symbolic interaction theory.</p>

Role Stress and Sense of Control Predict Using Food to Cope With Stress in Midlife Women

2021 ◽  
pp. 089826432110110
Author(s):  
Dana R. Riedy ◽  
Ashley MacPherson ◽  
Natalie D. Dautovich
Keyword(s):  
Work Stress ◽  
Underlying Mechanism ◽  
The United States ◽  
Role Stress ◽  
Work And Family ◽  
Midlife Women ◽  
Sense Of Control ◽  
Study Results ◽  
Using Data ◽  
Significant Mediator

Objective: The current study examined the association between role stress and using food to cope with stress in midlife women and examined sense of control as a potential underlying mechanism. Methods: An archival analysis was performed using data from 638 midlife women from the Midlife in the United States II study. Results: Hierarchical linear regression analyses demonstrated that work stress (β = .180, p < .001) and family stress (β = .138, p < .05) significantly predicted using food to cope with stress. Sense of control was a significant mediator between work stress and using food to cope with stress ( b = 0.02, 95% CI [.0014, .0314]). Discussion: Midlife women with higher role stress related to work and family are more likely to use food to cope with stress, and sense of control seems to be the link between work stress and using food to cope.

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