bluuebunny/crossref_metadata_2025_split huggingface dataset:
COMPARISON OF THE PARAMETERS OF SIGNALS WITH EXTERNAL ILLUMINATION FOR SUPERVISION OF THE AREA FOR THE PROTECTION OF IMPORTANT STATE OBJECTS
Authors: Horielyshev Stanislav , Boikov Igor , Volkov Pavlo , Poberezhnyi Andrii , Kondratenko Aleksandr 
Published: February 2021

In modern conditions, it becomes necessary to create security systems, surveillance systems, anti-terrorist systems that carry out covert detection and surveillance of small-sized ground objects, including biological ones.
Traditionally used single-position radars are ineffective in conditions of a large number of reflections that interfere with and low speed of movement of detected objects (people). The use of several such radars is impractical due to their rather high complexity and cost. In addition, it is impossible to ensure the secrecy of such systems. The construction of radar surveillance systems in the form of semi-active bistatic, including educational, radar systems is promising for the described conditions. One of the important issues in the construction of semi-active bistatic systems is the substantiation of the parameters of external illumination signals and the assessment of the attainable characteristics of such systems when using them.
The analysis and definition of the requirements for the characteristics of the illumination signals is carried out. In addition, consider the features of using signals from modern emitting systems in semi-active radars. The basic parameters of the signals are given – the bandwidth, the pulse duration (spectrum width), the power at the transmitter output, the frequency range in which the system operates. The advantages and disadvantages of semi-active radar stations (SA RS), which use such signals, are described.
Variants of semi-active bistatic systems with external illumination are determined. The widespread use of modern digital language and telecommunication systems provides the SA RS with effective illumination signals with good correlation properties, which makes it possible to obtain the necessary technical characteristics in a variety of application conditions
Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review
Authors: Hashmani Manzoor Ahmed , Jameel Syed Muslim , Rehman Mobashar , Inoue Atsushi 
Published: February 2021

Abstract
Concept Drift’s issue is a decisive problem of online machine learning, which causes massive performance degradation in the analysis. The Concept Drift is observed when data’s statistical properties vary at a different time step and deteriorate the trained model’s accuracy and make them ineffective. However, online machine learning has significant importance to fulfill the demands of the current computing revolution. Moreover, it is essential to understand the existing Concept Drift handling techniques to determine their associated pitfalls and propose robust solutions. This study attempts to summarize and clarify the empirical pieces of evidence of the Concept Drift issue and assess its applicability to meet the current computing revolution. Also, this study provides a few possible research directions and practical implications of Concept Drift handling.
The EMPEROR-Reduced trial: SGLT2 inhibitors for heart failure get more support
Authors: Wagdy Kerolos 
Published: February 2021

[no abstract - showing first paragraph]Sodium-glucose co-transporter 2 (SGLT2) inhibitors are a relatively new class of antihyperglycemic medication that are well established for the management of type-2 diabetes mellitus (DM). They have a unique mechanism of action that targets the kidneys through inhibition of 90% of glucose reabsorption.
The Sinking Heart: A case of left anterior descending artery intervention complicated by perforation and cardiac tamponade
Authors: Grigorov Mladen , Mathbout Mohammad , Fahsah Ibrahim , Ghafghazi Shahab 
Published: February 2021

Coronary interventions are one of the most commonly performed procedures in interventional medicine. They have provided a life-prolonging and -saving solution, but are not without their own complications. These, although rare, do occur and are important to recognize in order to promptly and efficiently provide a solution to prevent catastrophic consequences to the patient. We present a 70-year-old male with a past medical history significant for hypertension, hyperlipidemia, and myasthenia gravis; who presented to the hospital with substernal, pressure-like chest pain with associated nausea and diaphoresis. He was found to have ST segment elevations in anterolateral leads, prompting catherization lab activation revealing left anterior descending (LAD) artery stenosis. Percutaneous intervention via balloon dilation and stent placement was performed with periprocedural mid-intervention hemodynamic collapse occurring. Subsequent left ventricular (LV) angiography was performed revealing preserved LV function without perforation - however a rim of contrast was noted surrounding the LV. Thus, hemodynamic collapse was recognized as result of cardiac tamponade with pericardial drain emergently inserted resulting in hemodynamic recovery. Our case aims to present a case of vascular perforation with the uniqueness in our diagnostic approach via fluoroscopic imaging.
A Nelder–Mead algorithm-based inverse transient analysis for leak detection and sizing in a single pipe
Authors: Choura Oussama , Capponi Caterina , Meniconi Silvia , Elaoud Sami , Brunone Bruno 
Published: February 2021

Abstract
In this paper the results of an experimental validation of a technique for leak detection in polymeric pipes based on the inverse transient analysis (ITA) are presented. In the proposed ITA the Nelder–Mead algorithm is used as a calibration tool. Experimental tests have been carried out in an intact and leaky high-density polyethylene (HDPE) single pipe installed at the Water Engineering Laboratory (WEL) of the University of Perugia, Italy. Transients have been generated by the fast and complete closure of a valve placed at the downstream end section of the pipe. In the first phase of the calibration procedure, the proposed algorithm has been used to estimate both the viscoelastic parameters of a generalized Kelvin–Voigt model and the unsteady-state friction coefficient, by minimizing the difference between the numerical and experimental results. In the second phase of the procedure, the calibrated model allowed the evaluation of leak size and location with an acceptable accuracy. Precisely, in terms of leak location the relative error was smaller than 5%.
Atrial Natriuretic Peptide: Structure, Function, and Physiological Effects:
A Narrative Review
Authors: Rao Sanjana , Pena Camilo , Shurmur Scott , Nugent Kenneth 
Published: February 2021

:
Atrial natriuretic peptide (ANP) is a cardiac peptide with multiple physiological effects, including natriuresis, blood pressure regulation, and renin-angiotensin-aldosterone system (RAAS) antagonism. Pre-proANP is synthesized in the atria and must be extensively cleaved by the protease corin to produce the mature 28 amino acid ANP. The downstream signaling pathway of ANP acts through the guanylyl cyclase receptor and the second messenger cGMP. Studies on ANP’s physiological effects have demonstrated its activity on channels present in the apical membrane in the renal nephron, potentially inhibiting or decreasing sodium reabsorption. Recent research has also identified several clinical conditions, such as dilated cardiomyopathy, renal failure, and aging, associated with increased and decreased ANP levels. ANP levels could serve as a potential biomarker for diagnosis of acute stages of heart failure, and ANP infusion could have a role in the management of acute or chronic heart failure.
Phytochemicals from Peanut (Arachis hypogaea L.) Skin Extract with Potential for Pharmacological Activity
Authors: Kyei Sampson Kofi , Eke William Iheanyi , Abdul-Karim Hajara , Darko Godfred , Akaranta Onyewuchi 
Published: February 2021

Background:
Plant phenolics, commonly present in legumes, leafy vegetables, fruits,
grains are a key source of bioactive nutrients existing as flavonols, flavanones, flavanols, phytosterols,
among others. Peanuts, being crops of high commercial use, undergo processing that generates
voluminous agro-wastes. The waste comprises both the shells and skins, which could be valorized.
Its versatile functionality has encouraged extensive research into peanut skin-derived chemicals
for diverse applications over the past few decades. Peanut skin, however, is ascertained to be
rich in flavonoids, stilbenes (resveratrol), and other phenolic compounds.

Methods:
This review presents the biologically active compounds and pharmacological activities
of peanut skins and their related works over the past few years. Articles carefully chosen from
broad databases such as Scopus, Science Direct, Pub Med, SciFinder, among others, were used as
the primary data.

Results:
The bioactive components of peanut skin extracts exhibit anti-oxidant, anti-inflammatory,
anti-bacterial, anti-viral, anti-fungal, anti-cancer/anti-tumour, anti-cardiovascular, and anti-diabetes/
obesity activities via in vitro and in vivo models. Besides, their varied biological properties
make them potential precursors for the management of diverse diseases and ailments.
Potential Applications: Phytochemicals from peanut skins could be deployed as antioxidant, antidiabetic
and antimicrobial agents in drugs for the clinical treatment of ailments with extensive clinical
applications.

Conclusion:
The present review covers the chemistry and pharmacological activities of peanut
skin phytochemicals. Our findings in this review substantiate the importance of peanut skin extracts
and their varied potential for the treatment of specific diseases. The results indicate that they
are attractive target compounds for the development of new drugs. We hope that this information
will inform further in vivo studies on the role of peanut skin phenolic compounds in our health.
Factors Influencing the Utilization of Childbirth Services in Health Care Facilities at UPTD Anggaberi Health Service Center, Konawe District
Authors: Wuryani Murti , Evayanti Arni 
Published: February 2021

The childbirth coverage in health facilities (PF) at UPTD Anggaberi Public Health Center in 2017 has reached 72.6%, and increased in 2018 by 76.18%. At district level, the PF indicator at UPTD Anggaberi Public Health Center has exceeded the target in Konawe District by 59,37%, however but the 80% target achievement of PF at the UPTD Anggaberi Public Health Center has not been achieved<sup>6</sup>. Seeing this, the coverage of PF at the UPTD Anggaberi Public Health Center , there are still labors that are not performed in health facilities, so that it can affect the achievement of PF at the UPTD Anggaberi Public Health Center , Konawe District. The aim of the study was to analyze factors that influence utilization of health care facilities at the UPTD Anggaberi Public Health Center. This research is an analytical study with a cross sectional approach. The research instrument used was a structured questionnaire on the factors that affect the utilization of labor service in health care facilities. The number of samples was 51 women who had labor at the Anggaberi Health Center. Bivariate analysis was done with chi square test and multivariate analysis with logistic regression test. The results showed the six factors (education (p = 0.041) and work (p = 0.019) family income (p = 0.041) and accessibility (p = 0.021) husband support (p = 0.011) and health personnel support (p = 0.011) ) on the use of childbirth services in health care facilities at the UPTD Anggaberi Public Health Center , Konawe District. The multivariate results show that all independent variables in this study have a significance limit of p-value ≤ 0.25, so it can be concluded that there is an influence among each independent variable (education, occupation, income, accessibility, husband's support and support of health workers) with the dependent variable. (utilization of childbirth services in health service facilities). Health care centers are expected to improve the partnership with traditional midwife (dukun beranak) within their work area so that the dukun can become well trained and they can collaborate in every childbirth
Using Tweets to Understand How COVID-19–Related Health Beliefs Are Affected in the Age of Social Media: Twitter Data Analysis Study
Authors: Wang Hanyin , Li Yikuan , Hutch Meghan , Naidech Andrew , Luo Yuan 
Published: February 2021

Background
The emergence of SARS-CoV-2 (ie, COVID-19) has given rise to a global pandemic affecting 215 countries and over 40 million people as of October 2020. Meanwhile, we are also experiencing an infodemic induced by the overabundance of information, some accurate and some inaccurate, spreading rapidly across social media platforms. Social media has arguably shifted the information acquisition and dissemination of a considerably large population of internet users toward higher interactivities.

Objective
This study aimed to investigate COVID-19-related health beliefs on one of the mainstream social media platforms, Twitter, as well as potential impacting factors associated with fluctuations in health beliefs on social media.

Methods
We used COVID-19-related posts from the mainstream social media platform Twitter to monitor health beliefs. A total of 92,687,660 tweets corresponding to 8,967,986 unique users from January 6 to June 21, 2020, were retrieved. To quantify health beliefs, we employed the health belief model (HBM) with four core constructs: perceived susceptibility, perceived severity, perceived benefits, and perceived barriers. We utilized natural language processing and machine learning techniques to automate the process of judging the conformity of each tweet with each of the four HBM constructs. A total of 5000 tweets were manually annotated for training the machine learning architectures.

Results
The machine learning classifiers yielded areas under the receiver operating characteristic curves over 0.86 for the classification of all four HBM constructs. Our analyses revealed a basic reproduction number R0 of 7.62 for trends in the number of Twitter users posting health belief–related content over the study period. The fluctuations in the number of health belief–related tweets could reflect dynamics in case and death statistics, systematic interventions, and public events. Specifically, we observed that scientific events, such as scientific publications, and nonscientific events, such as politicians’ speeches, were comparable in their ability to influence health belief trends on social media through a Kruskal-Wallis test (P=.78 and P=.92 for perceived benefits and perceived barriers, respectively).

Conclusions
As an analogy of the classic epidemiology model where an infection is considered to be spreading in a population with an R0 greater than 1, we found that the number of users tweeting about COVID-19 health beliefs was amplifying in an epidemic manner and could partially intensify the infodemic. It is “unhealthy” that both scientific and nonscientific events constitute no disparity in impacting the health belief trends on Twitter, since nonscientific events, such as politicians’ speeches, might not be endorsed by substantial evidence and could sometimes be misleading.
PROTECTION OF THE CIVILIAN POPULATION AS THE IMPLEMENTATION OF THE PRINCIPLE OF DISCRIMINATION
Authors: Sulistyo Al Qodar Purwo , Yustinianingtyas Levina 
Published: February 2021

Legal research aims to solve the problems that arise in connection with the application of the principle of distinction (distinction principle) in terms of the protection of civilians in international armed conflict between Israel and the Palestinians. The object of study in legal research is devoted to applying the principle of distinction against the civilian population as a victim of war under international humanitarian law in armed conflict international. To solve these problems, they need to be supported by the data in the form of legal material. The data was obtained through the study of literature and via the Internet. From this legal research to achieve results that provide answers to the problems that exist, the Israeli aggression on Palestine has violated international humanitarian law provisions and has caused misery for the Palestinian population. As a result of these actions, the Israelis may be subject to liability in the form of sanctions or punishment according to international humanitarian law provisions applicable in the international community
PENDAMPINGAN MANAJEMEN USAHA PADA UKM SEPATU BERSIH DI MALANG
Authors: Zubaidah Siti . , Kholmi Masiyah 
Published: February 2021

This service was carried out in the clean shoe business group. The purpose of this service is to form / develop a group of people as prospective entrepreneurs who are economically independent with a specific target to be achieved is to provide assistance in business management, especially in the bookkeeping and sales system of UKM Clean Shoes in Malang. The partner in this service is UKM "Clean Shoes". Clean shoes is a brand of premium shoes treatment service provider that has been engaged in Malang since May 2014. The services offered include fast clean, deep clean, unionization, women care, recolour upper, recolour midsole, reglue, shoes sanitizer, customeshoe , and pick up delivery. The main problem of SMEs and agreed to be resolved first is that there is no good bookkeeping and sales system, The method used in solving partner problems is providing assistance and tutorials on bookkeeping and sales systems. Keywords: bookkeeping, business management, System of sales.
Bitcoin Blockchain Clustering Analysis for Ransomware Detection
Authors: Lima Thiago R. C. de 
Published: February 2021

Bitcoin is the most popular digital currency. It is not controlled by
any sort of central bank or government institution and is the preferred
payment method requested by cyber criminals through ransomware. This
type of malware encrypts a victim’s files and forces them to pay a
ransom in order to regain access. In this short paper, Bitcoin
transaction data of tenyears is analyzed by generating a K-Means
clustering model, using it to predict each sample’s cluster, and then
creating a confusion matrix and evaluating the results (Rand Score).
Experiencias y aprendizajes del trayecto proyectual en una Especialización Docente en Didáctica de las Ciencias de la Computación
Authors: Casali Ana , San Martín Patricia , Monjelat Natalia , Viale Pamela 
Published: February 2021

La formación docente en didáctica de las Ciencias de la Computación resulta una necesidad imperiosa en nuestro país, fundamental para el cumplimiento de las directrices establecidas por los “Núcleos de Aprendizajes Prioritarios de Educación Digital, Programación y Robótica”, que implican una introducción de estos contenidos en todos los niveles educativos. En este sentido, la Especialización Docente de Nivel Superior en Didáctica de las Ciencias de la Computación: Aprendizaje y Enseñanza del Pensamiento Computacional y la Programación, dictada recientemente en Rosario (Argentina) se presenta como una experiencia innovadora de formación docente en estas temáticas. En este artículo se presenta el desarrollo del trayecto proyectual de esta especialización, destacando su valor como eje integrador y se analizan las experiencias recogidas en el transcurso de la primera cohorte de esta formación. Los resultados señalan que el marco teórico que sustenta la propuesta de trabajo en el eje proyectual habilitó la creación de proyectos factibles de ser implementados en la escuela primaria, integrando los contenidos de Ciencias de la Computación abordados en la especialización de manera diversa y atendiendo a las particularidades del contexto.
Utilización de recursos educativos abiertos para la promoción del uso de repositorios institucionales. El caso de la Universidad Tecnológica Nacional
Authors: Palmieri Juan María 
Published: February 2021

La tesis hace foco en el uso de los materiales educativos digitales, específicamente los recursos educativos abiertos (REA), el desarrollo de estrategias para su diseño, producción y utilización en carreras de grado de Ingeniería y su almacenamiento en repositorios institucionales (RRII) de Acceso Abierto (AA).
La promulgación de la Ley N°26.899 de RRII instala al AA en el centro del debate académico y científico. La UTN es una Universidad Nacional, de carácter federal, conformada por treinta Facultades Regionales (FFRR) distribuidas en catorce provincias de la República Argentina y el Rectorado ubicado en CABA. En respuesta a la citada ley, la UTN ha desarrollado políticas institucionales de AA y el Repositorio Institucional Abierto (RIA) con el objetivo de preservar a largo plazo y brindar visibilidad a su producción científica, académica y tecnológica.
Desde 2016 a la fecha, un número significativo de investigadores, tesistas de grado y posgrado de UTN demuestran interés en las iniciativas de AA y utilizan el RIA como herramienta de preservación y visibilidad de su producción científica y académica.
Esta tesis que aborda la cuestión de la incorporación de los REA en el RIA. Para abordar esta cuestión, se propone un programa de diseño y producción de REA que brinde a los docentes, de una FR de UTN, metodologías, formación y apoyo para su creación y publicación en el RIA.
Los objetivos principales de la tesis son:

Recopilar metodologías de diseño y creación de REA e identificar aquellas que consideren su almacenamiento en RRII.
Diseñar un programa de diseño y creación de REA que brinde a docentes de carreras de grado de UTN condiciones de formación y apoyo para el diseño y desarrollo de REA, promover su uso en asignaturas de carreras de grado y su almacenamiento en el RIA.
Analizar y describir las adecuaciones necesarias al repositorio institucional para permitir el depósito, preservación y recuperación de REA.