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Overcrowding analysis in emergency department through indexes: a single center study
Introduction: Overcrowding in the Emergency Department (ED) is one of the major issues that must be addressed
in order to improve the services provided in emergency circumstances and to optimize their quality. As a result, in
order to help the…
in order to improve the services provided in emergency circumstances and to optimize their quality. As a result, in
order to help the…
Social Media Public Opinion as Flocks in a Murmuration: Conceptualizing and Measuring Opinion Expression on Social Media
We propose a new way of imagining and measuring opinions emerging from social media. As people tend to connect with like-minded others and express opinions in response to current events on social media, social media public opinion is naturally…
Recurrent Wunderlich syndrome in systemic lupus erythematosus: a case report
Abstract
Background Wunderlich syndrome (WS) is a rare condition characterized by spontaneous renal hemorrhage in the
absence of obvious trauma or iatrogenic injury. Given that most WS cases are life-threatening and require prompt
intervention,…
Background Wunderlich syndrome (WS) is a rare condition characterized by spontaneous renal hemorrhage in the
absence of obvious trauma or iatrogenic injury. Given that most WS cases are life-threatening and require prompt
intervention,…
Early prehospital mechanical cardiopulmonary resuscitation use for out-of-hospital cardiac arrest: an observational study
In total, 1680 patients who received mechanical cardiopulmonary resuscitation were included in the analysis. Reducing the time interval from manual chest compression initiation to device setup was independently associated with the return of…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Online traffic classification for malicious flows using efficient machine learning techniques
The rapid network technology growth causing various network problems,
attacks are becoming more sophisticated than defenses. In this paper, we
proposed traffic classification by using machine learning technique, and
statistical flow features…
attacks are becoming more sophisticated than defenses. In this paper, we
proposed traffic classification by using machine learning technique, and
statistical flow features…
Small cell lung cancer case report: acute tumor lysis syndrome after chemotherapy and management strategies for high-risk
patients
Abstract
Background In the treatment of small cell lung cancer (SCLC), acute tumor lysis syndrome (ATLS) is one of the
oncologic emergencies that requires particular attention. Previous studies have generally indicated that ATLS
increases…
Background In the treatment of small cell lung cancer (SCLC), acute tumor lysis syndrome (ATLS) is one of the
oncologic emergencies that requires particular attention. Previous studies have generally indicated that ATLS
increases…
Sorting Real Numbers in Constant Time using n2/logcn Processors
We study the sorting of real numbers into a linked list on the PRAM (Parallel Random-Access Machine) model. We show that n real numbers can be sorted into a linked list in constant time using n2 processors. Previously n numbers can be sorted into a…
Jurnal Keuangan dan Perbankan Universitas Merdeka Malang
The level of conservatism and earnings management during IFRS adoption
We analysis to determine the level of conservatism and earnings management in the period of IFRS adoption in Indonesia. We used a quantitative approach and was tested using a different group test, i.e. Mann-Whitney U, ANOVA, and MANOVA.
The object…
The object…
Primary subdural lymphoma mimicking chronic subdural hematoma: a case reportand a narrative review of some recent similarcases in the literature
Abstract
Background Chronic subdural hematoma (CSDH) is a common condition in elderly patients, typically diagnosed
through neuroimaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI).
Cases of subdural lymphoma…
Background Chronic subdural hematoma (CSDH) is a common condition in elderly patients, typically diagnosed
through neuroimaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI).
Cases of subdural lymphoma…
The gendered lens of AI: examining news imagery across
digital spaces
This study investigates gender representation in artificial intelligence (AI)-related images across various digital spaces to understand potential biases
and visual narratives in the AI domain. We analyzed a dataset of 28,199 images from news media,…
and visual narratives in the AI domain. We analyzed a dataset of 28,199 images from news media,…