scholarly journals SAT-LB305 Concurrent Peri-Adrenal Paraganglioma and Renal AngiomyolipomaComplicated by Toxic Multinodular Goiter

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Nattapol Sathavarodom
Keyword(s):  
Multinodular Goiter ◽  
Tracer Uptake ◽  
Renal Angiomyolipoma ◽  
Free T4 ◽  
The Past ◽  
Progressive Dyspnea ◽  
Toxic Multinodular Goiter ◽  
High Level ◽  
Upper Abdomen ◽  
Lost To Follow Up

Abstract A 40 years old woman presented with headache, palpitation and diaphoresis by the past 3 months, and then developed progressive dyspnea on exertion and chest pain 2 weeks ago. She also lost 5 kg of her body weight during the past 6 months. She ever had multinodular goiter and lobectomy was done 12 years ago, after that she lost to follow up. At meantime, toxic multinodular goiter was suspected and high level of free T4, T3, and suppressed thyrotropin were demonstrated. Furthermore, thyroid scan revealed heterogenous tracer uptake at her thyroid bed. Methimazole was started, however her blood pressure and heart rate were all uncontrolled. Pheochromocytoma was suspected and markedly elevated of both urinary normetanephrine and metanephrine were confirmed. Computed tomogram revealed a huge, right supra-renal mass. In addition, hypodensity mass were found at upper pole of right kidney, and the results of 131I-Metaiodobenzylguanidine scintigraphy showed increased tracer uptake at upper abdomen. Right adrenalectomy and partial nephrectomy were performed. The final pathological diagnosis was sympathetic paraganglioma, and angiomyolipoma which confirmed by immunohistochemical staining. We present here an unusual case of concurrent periadrenal paraganglioma and renal angiomyolipoma which was complicated by autonomous toxic multinodular goiter.

scholarly journals Syndrome of Reduced Sensitivity to Thyroid Hormones: Two Case Reports and a Literature Review

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Anastasios Anyfantakis ◽  
Dimitrios Anyfantakis ◽  
Irene Vourliotaki
Keyword(s):  
Thyroid Hormone ◽  
Multinodular Goiter ◽  
Target Genes ◽  
Case Reports ◽  
Serum Levels ◽  
Free T4 ◽  
Laboratory Findings ◽  
Toxic Multinodular Goiter ◽  
High Doses ◽  
Primary Hyperthyroidism

Resistance to thyroid hormone (RTH) is an extremely rare dominantly inherited condition of impaired tissue responsiveness to thyroid hormone (TH). Most patients with RTH have mutations in the gene that encodes theβisoform of the receptor of thyroid hormone (THR-βgene). Mutant receptors are unable to activate or repress target genes. The majority of them are asymptomatic or rarely have hypo- or hyperthyroidism. RTH is suspected by the finding of persistent elevation of serum levels of free T3 (FT3) and free T4 (FT4) and nonsuppressed TSH. We present two cases of RTH diagnosed after total thyroidectomy. The first patient was initially diagnosed with primary hyperthyroidism due to toxic multinodular goiter. The second patient had undergone thyroidectomy for multinodular goiter 16 years before diagnosis of RTH. After thyroidectomy, although on relatively high doses of levothyroxine, both of them presented with the laboratory findings of RTH. Genetic analysis revealed RTH.

Rare association of primary hyperparathyroidism and toxic multinodular goiter

2018 ◽  
Author(s):  
Hamza Elfekih ◽  
Mouna Elleuch ◽  
Dorra Ghorbel ◽  
Faten Hadjkacem ◽  
Mouna Ammar ◽  
...  
Keyword(s):  
Primary Hyperparathyroidism ◽  
Multinodular Goiter ◽  
Rare Association ◽  
Toxic Multinodular Goiter

Machine learning for rediscovering revolutionary ideas of the past

2021 ◽  
pp. 105971232098304
Author(s):  
R Alexander Bentley ◽  
Joshua Borycz ◽  
Simon Carrignon ◽  
Damian J Ruck ◽  
Michael J O’Brien
Keyword(s):  
Language Processing ◽  
Scientific Progress ◽  
Phylogenetic Inference ◽  
The Past ◽  
New Methods ◽  
Inherent Nature ◽  
Social Learning Processes ◽  
High Level ◽  
Scientific Ideas ◽  
Revolutionary Science

The explosion of online knowledge has made knowledge, paradoxically, difficult to find. A web or journal search might retrieve thousands of articles, ranked in a manner that is biased by, for example, popularity or eigenvalue centrality rather than by informed relevance to the complex query. With hundreds of thousands of articles published each year, the dense, tangled thicket of knowledge grows even more entwined. Although natural language processing and new methods of generating knowledge graphs can extract increasingly high-level interpretations from research articles, the results are inevitably biased toward recent, popular, and/or prestigious sources. This is a result of the inherent nature of human social-learning processes. To preserve and even rediscover lost scientific ideas, we employ the theory that scientific progress is punctuated by means of inspired, revolutionary ideas at the origin of new paradigms. Using a brief case example, we suggest how phylogenetic inference might be used to rediscover potentially useful lost discoveries, as a way in which machines could help drive revolutionary science.

scholarly journals Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021

AI and Ethics ◽  
2021 ◽  
Author(s):  
Muhammad Ali Chaudhry ◽  
Emre Kazim
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Tutoring Systems ◽  
Policy Makers ◽  
Tutoring Systems ◽  
Research And Practice ◽  
The Past ◽  
Artificial Intelligence In Education ◽  
Potential Impact ◽  
High Level ◽  
Contextualized Learning

AbstractIn the past few decades, technology has completely transformed the world around us. Indeed, experts believe that the next big digital transformation in how we live, communicate, work, trade and learn will be driven by Artificial Intelligence (AI) [83]. This paper presents a high-level industrial and academic overview of AI in Education (AIEd). It presents the focus of latest research in AIEd on reducing teachers’ workload, contextualized learning for students, revolutionizing assessments and developments in intelligent tutoring systems. It also discusses the ethical dimension of AIEd and the potential impact of the Covid-19 pandemic on the future of AIEd’s research and practice. The intended readership of this article is policy makers and institutional leaders who are looking for an introductory state of play in AIEd.

Lack of Reported Mutations in a Japanese Case of Toxic Multinodular Goiter

ORL ◽  
2002 ◽  
Vol 64 (4) ◽  
pp. 275-277
Author(s):  
Masakazu Hanamitsu ◽  
Eiji Takeuchi ◽  
Tsuyoshi Kitanishi ◽  
Hironori Sakurai ◽  
Hiroshi Tanaka ◽  
...  
Keyword(s):  
Multinodular Goiter ◽  
Japanese Case ◽  
Toxic Multinodular Goiter

The Arab Brain Drain

1972 ◽  
Vol 6 (3) ◽  
pp. 1-16
Author(s):  
A.B. Zahlan
Keyword(s):  
College Students ◽  
Study Abroad ◽  
Brain Drain ◽  
Arab World ◽  
University System ◽  
College And University ◽  
The Past ◽  
High Level

The Arab World numbering an estimated 130 million inhabitants (1972) has produced—through its own college and university system (40 institutions in 1971 and 400,000 college students)—some 560,000 graduates; see Table I. Study abroad has been at a high level ever since the early fifties. During the past two decades it has increased from about 10,000 to 40,000.

scholarly journals A Fast and Effective Method to Identify Relevant Sets of Variables in Complex Systems

Mathematics ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1022
Author(s):  
Gianluca D’Addese ◽  
Martina Casari ◽  
Roberto Serra ◽  
Marco Villani
Keyword(s):  
Complex Systems ◽  
Gene Regulatory Networks ◽  
Regulatory Networks ◽  
Computational Cost ◽  
Graph Analysis ◽  
The Past ◽  
Medium Level ◽  
Micro Level ◽  
Gene Regulatory ◽  
High Level

In many complex systems one observes the formation of medium-level structures, whose detection could allow a high-level description of the dynamical organization of the system itself, and thus to its better understanding. We have developed in the past a powerful method to achieve this goal, which however requires a heavy computational cost in several real-world cases. In this work we introduce a modified version of our approach, which reduces the computational burden. The design of the new algorithm allowed the realization of an original suite of methods able to work simultaneously at the micro level (that of the binary relationships of the single variables) and at meso level (the identification of dynamically relevant groups). We apply this suite to a particularly relevant case, in which we look for the dynamic organization of a gene regulatory network when it is subject to knock-outs. The approach combines information theory, graph analysis, and an iterated sieving algorithm in order to describe rather complex situations. Its application allowed to derive some general observations on the dynamical organization of gene regulatory networks, and to observe interesting characteristics in an experimental case.

ASPECTS REGARDING THE USE OF ARTIFICIAL INTELLIGENCE IN IMPROVING DEFENSE RESOURCE MANAGEMENT

2021 ◽  
Vol 17 (1) ◽  
pp. 323-330
Author(s):  
Gabriela-Florina NICOARĂ ◽  
Gergonia-Cristiana BOGĂȚEANU
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Technological Progress ◽  
Digital Systems ◽  
Constructive Approach ◽  
The Past ◽  
A Priority ◽  
High Level

Abstract: Regarding the society evolution dominated by a high-level technology, we consider this article a constructive approach. The aim of the paper is to highlight a few activities/places/spots in which competences of humans/soldiers interfere with different elements of the artificial intelligence. We deem that the technological progress in the past few years has been impressive. Nowadays, thousands of activities that were mostly or exclusively executed by people can be done faster and often with greater precision using digital systems. In this instance and considering the achievement of functional compatibility between Romanian Army and forces from NATO as being a priority, the development of the technology based on artificial intelligence is vital within the defense resource management.

DIAGNOSIS OF OVARIAN CANCER AND ACUTE ENDOMETRITIS BY NETWORK MODELING OF CHANGES IN BLOOD FLOW IN THE PELVIC ARTERIES

2021 ◽  
pp. 88-93
Author(s):  
Виталий Вячеславович Аксёнов ◽  
Николай Михайлович Агарков ◽  
Александра Игоревна Сурнина
Keyword(s):  
Ovarian Cancer ◽  
Blood Flow ◽  
Differential Diagnosis ◽  
Network Modeling ◽  
Correct Diagnosis ◽  
Arterial Blood Flow ◽  
Diagnostic Significance ◽  
The Past ◽  
Arterial Blood ◽  
High Level

Заболеваемость раком яичников в России в последнее время остается на высоком уровне. В мире более ста тысяч женщин умирают вследствие протекания данного заболевания. За последнее десятилетие заболеваемость острым эндометритом также неуклонно возрастает. Острый эндометрит обладает полиморфизмом симптомов, лабораторных и ультразвуковых изменений и вследствие этого тяжело поддается диагностике и дифференциальной диагностике. В условиях стационара обследованы 100 пациенток с раком яичников II-III стадии и 90 пациенток с диагнозом острого эндометрита. Им выполнялось ультразвуковое исследование. Полученные результаты подвергались обработке и математико-статистическому анализу, включающему расчёт показателей дезинтеграции, сетевое моделирование, математическое ранжирование. Изучение ультразвуковых изменений кровотока в маточных и яичниковых сосудах и венах у 100 заболевших раком яичников и 90 заболевших острым эндометритом дал возможность выделить ведущие дифференциально-диагностические аспекты. Характеристики дезинтеграции, в одном ряду со средними значениями локального кровотока, объективизируют дифференциацию рака яичников и острого эндометрита. В согласовании с дифференциально-диагностической значимостью ультразвуковых характеристик артериального кровотока в маточных и яичниковых сосудах построена сетевая модель дифференциальной диагностики рака яичников и острого эндометрита по более приоритетным переменам, собственно, что разрешает уменьшить размер и время обследования пациента и постановки верного диагноза The incidence of ovarian cancer in Russia has recently remained at a high level. In the world, more than a hundred thousand women die as a result of the course of this disease. The incidence of acute endometritis has also been steadily increasing over the past decade. Acute endometritis has a polymorphism of symptoms, laboratory and ultrasound changes and, as a result, is difficult to diagnose and differential diagnosis. 100 patients with stage II-III ovarian cancer and 90 patients with acute endometritis were examined in the hospital. They performed an ultrasound examination. The obtained results were processed and subjected to mathematical and statistical analysis, including the calculation of disintegration indicators, network modeling, and mathematical ranking. The study of ultrasound changes in blood flow in the uterine and ovarian vessels and veins in 100 patients with ovarian cancer and 90 patients with acute endometritis made it possible to identify the leading differential diagnostic aspects. The characteristics of disintegration, along with the average values of local blood flow, objectify the differentiation of ovarian cancer and acute endometritis. In accordance with the differential diagnostic significance of the ultrasound characteristics of arterial blood flow in the uterine and ovarian vessels, a network model for the differential diagnosis of ovarian cancer and acute endometritis is constructed according to higher priority changes, which actually allows reducing the size and time of the patient's examination and making the correct diagnosis

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