bluuebunny/crossref_metadata_2025_split huggingface dataset:
Devising a method for balancing the load on a territorially distributed foggy environment
Authors: Kuchuk Nina , Mozhaiev Oleksandr , Semenov Serhii , Haichenko Andrii , Kuchuk Heorhii , Tiulieniev Serhii , Mozhaiev Mykhailo , Davydov Viacheslav , Brusakova Oksana , Gnusov Yurii 
Published: March 2023

This study solves the task to redistribute the load on a geographically distributed foggy environment in order to achieve a load balance of virtual clusters. The necessity and possibility of developing a universal and at the same time scientifically based approach to load balancing has been determined. Object of study: the process of redistribution of load in a foggy environment between virtual, geographically distributed clusters. A load balancing method makes it possible to reduce delays and decrease the time for completing tasks on foggy nodes, which brings task processing closer to real time. To solve the task, a mathematical model of the functioning of a separate cluster in a foggy environment has been built. As a result of modeling, the problem of finding the optimal distribution of tasks across the nodes of the virtual cluster was obtained. The limitations of the problem take into account the characteristics of the physical nodes of support for the virtual cluster. The process of distributing the additional load was also simulated through the graph representation of tasks entering virtual clusters. The task to devise a method for load transfer between virtual clusters within a foggy environment is solved using the proposed iterative algorithm for finding a suitable cluster and placing the load. The simulation results showed that the balance of the foggy environment when using the proposed method increases significantly provided the network load is small. The scope of application of the results includes geographically distributed foggy systems, in particular the foggy layer of the industrial Internet of Things. A necessary practical condition for using the proposed results is the non-exceeding the specified limit of the total load on the foggy medium, usually 70 %
Development of a two-stage method for segmenting the color images of urban terrain acquired from space optic-electronic observation systems based on the ant algorithm and the hough algorithm
Authors: Khudov Hennadii , Makoveichuk Oleksandr , Khudov Vladyslav , Khizhnyak Irina , Khudov Rostyslav , Maliuha Volodymyr , Sukonko Serhii , Lunov Oleksii , Buhera Mykhailo , Kravets Taras 
Published: March 2023

The object of this study is the high level of errors of the first and second kind in the segmentation of images of urbanized areas acquired from space optoelectronic surveillance systems.
The method of image segmentation of urbanized areas implies two stages and, unlike known ones:
– takes into account each channel of brightness of the color space of the original image;
– at the first stage, an ant algorithm is used;
– image segmentation at the first stage is reduced to the calculation of the objective function, the areas of movement of ants, and the concentration of pheromone on the routes of ant movement.
– at the second stage, the brightness and geometric shape of the elements of objects are taken into account;
– contours and geometric primitives are defined in the Hough parameter space;
– the objects of interest of the urbanized area in the space of the original image are determined.
An experimental study into the segmentation of images of urbanized terrain acquired from space optoelectronic observation systems was carried out based on the ant algorithm and the Hough algorithm.
The quality of image segmentation of the urbanized area was assessed. It was found that the error of the first kind when using the improved method of segmentation is reduced by 2.75 %. The error of the second kind is reduced by 3.91 % when using the improved method of segmentation. This reduction became possible due to the use of an improved method of segmenting the image of an urbanized area by the ant algorithm at the first stage. Compared to Canny's algorithm, the error of the first kind decreased by 8.9 %, and the error of the second kind decreased by 11.0 %.
Methods for segmenting images of urbanized areas acquired from space optoelectronic surveillance systems can be implemented in software and hardware systems of image processing
Optimization of the isolation of biologically active complexes from buds and shoots of birch and poplar buds for their further use in cosmeceutical compositions
Authors: Yanevich Alyona , Mokshin Dmitriy , Polyakov Vladilen 
Published: March 2023

The aim is to optimize the isolation of biologically active birch and poplar complexes based on woodworking industry waste to study their biological activity to create cosmeceutical compositions that have cosmetic and pharmaceutical effects.
Materials and methods. The object of research is the vegetative organs of birch (buds and shoots) and poplar (buds). In the process of work, experimental studies were carried out on the extraction and separation of natural compounds, development of biological complexes of vegetative organs of birch and poplar, study of the chemical composition and standardization of biologically active complexes of birch and preparations based on them.
Results. The optimal methods for extracting natural complexes were determined. Created as a semi-industrial installation for producing biologically active complexes by barothermal method, combining two processes - high pressure and hydrodistillation. The optimal operating cycle and plant parameters were determined. The optimal solvents for the extraction of biologically active complexes from the vegetative organs of birch and poplar have been determined. Petroleum ether (33.60 %) extracted the most compounds from birch buds, in birch shoots - ethanol (8.34 %). Qualitative and quantitative indicators of biologically active complexes are determined, and projects for examining the obtained biologically active complexes are proposed. We determined the yield of essential oil depending on the time of collection of raw materials and determined that the largest amount of essential oil is contained in spring buds (0.21 % of dry raw materials) and shoots (0.08 %).
Conclusions. Biological complexes created from timber processing waste with high activity are the basis for the creation of cosmetic products. The created semi-industrial plant will provide the basis for creating new original products in industrial volumes.
Cetacean sightings from Mozambican waters, including the first records of Rough-toothed Dolphin Steno bredanensis and Fraser’s Dolphin Lagenodelphis hosei
Authors: Rollinson Dominic P. 
Published: March 2023

Opportunistic cetacean sightings were made during a 79-day fishing trip through southern and central Mozambican waters. Notable sightings included the first Mozambican records of Rough-toothed Dolphin Steno bredanensis and Fraser’s Dolphin Lagenodelphis hosei, although both species have been recorded from neighbouring South African and Tanzanian waters. A number of other rarely seen cetacean species, with few Mozambican records, were also recorded.
La boldenona, un anabolizante vacuno, ¿existe riesgo de dopaje positivo?
Authors: Enríquez Meza Rodrigo 
Published: March 2023

En el presente escrito se trata de hacer una revisión sobre un tema de actualidad que está comprometiendo a varios de los deportistas colombianos que han dado doping positivo para boldenona y que aseguran haber ingerido carne de res en los días previos a la prueba del control antidoping, lo cual en el momento se encuentra en investigación puesto que es conocido que en Colombia está permitido el uso de este esteroide en el ganado vacuno hasta 30 días antes del sacrifcio del animal, lo que debe ser garantizado por los entes de control nacional.
Por lo tanto, en el escrito se contextualizará inicialmente que es y como actúa la boldenona; seguido a ello se trata las razones por las cuales se autoriza en Colombia el uso de la hormona en el ganado vacuno y fnalmente, la repercusión de la presencia de la misma en un control antidoping de los deportistas.
Automatic System for Detecting Pathologies in the Respiratory System for the Care of Patients with Bronchial Asthma Visualized by Computerized Radiography
Authors: Meneses-Claudio Brian , Perez-Siguas Rosa , Matta-Solis Hernan , Matta-Solis Eduardo , Matta-Perez Hernan , Cruzata-Martinez Alejando , Saberbein-Muñoz Juan , Salinas-Cruz Maria 
Published: March 2023

COVID-19 is a disease that directly affects the respiratory tract, being harmful in asthmatic patients because this condition causes a lack of oxygen, even to the extent that it requires external equipment to combat drowning. Likewise, it highlights the importance of maintaining a treatment or therapy correctly to prevent your disease from worsening or being exposed to other diseases, putting your health at risk. The diseases that asthmatic patients can acquire can result from pathologies, which have been growing over the years due to lack of equipment or efficient examinations that generate complete information about respiratory conditions about asthmatic patients, therefore, by developing an advanced system, the chances of detecting pathologies prematurely increase considerably, which is an essential tool today. According to the problem exposed, in this research an automatic system of detection of pathologies in the respiratory system was carried out for the care of the patient with bronchial asthma visualized by computerized radiography, so that any pathology can be detected by means of a premature diagnosis in the respiratory system and the doctor can perform a correct treatment on the asthmatic patient. Through the tests carried out by the system, its performance was accurate and efficient, being suitable to be implemented in various hospitals so that the doctor can treat the disease in time, since the system presented a 98.79% efficiency in the detection of pathologies.
EASRAPP: An Open-Source Semiautomatic Python GUI-Based Application for Extraction and Analysis of Surface Ruptures in a Large Earthquake
Authors: Li Dongchen , Ren Junjie 
Published: March 2023

Abstract
Earthquake surface ruptures record the kinematics of the rupture behavior and rheology of the fault zone. General methods of acquiring coseismic surface ruptures, including the field geological survey and the visual interpretation of remote sensing images, are generally time consuming and challenging to obtain detailed features of surface ruptures. Here, we developed an open-source semiautomatic Python graphical user interface-based application named EASRAPP (An Application for Extraction and Analysis of Surface Ruptures). EASRAPP is a graphical Python application that provides an interactive, user-friendly framework for semiautomatically extracting and analyzing earthquake surface ruptures and associated quantitative parameters. It consists of four main modules for obtaining the region of interest for surface ruptures in a remote sensing image, extracting surface ruptures, editing the vector extraction results, and analyzing the width of the surface rupture zone and strikes of all surface ruptures. Moreover, some additional functions are available, including data structure conversion for vector and raster data, vector merging, raster mosaicing, and batch cropping from multiple large images to many small images. EASRAPP is written in Python 3, based on several open-source Python packages such as Tkinter, SciPy, and so forth. Because of its modular design, it is convenient to modify the code and add new functionalities to a collaborative development environment. Furthermore, the output of the editing module may serve as a machine learning or deep learning training dataset, and offer conditions for detailed kinematic analysis and acquiring accurate width of the active fault deformation zone. EASRAPP was tested on a single unmanned aerial vehicle image to demonstrate all modules and tools. In addition, EASRAPP was also applied to other drone and satellite images to extract surface ruptures from recent and historical earthquakes. Our results indicate that: (1) the tool can quickly extract the fine structures of surface fractures, (2) EASRAPP can be used to extract surface ruptures generated by historical events, and (3) it can be applied to high-resolution aerial and satellite images.
NESTOREv1.0: A MATLAB Package for Strong Forthcoming Earthquake Forecasting
Authors: Gentili Stefania , Brondi Piero , Di Giovambattista Rita 
Published: March 2023

AbstractThis article presents the first publicly available version of the NExt STrOng Related Earthquake (NESTORE) software (NESTOREv1.0) designed for the statistical analysis of earthquake clusters. NESTOREv1.0 is a MATLAB (www.mathworks.com/products/matlab, last accessed August 2022) package capable of forecasting strong aftershocks starting from the first hours after the mainshocks. It is based on the NESTORE algorithm, which has already been successfully applied retrospectively to Italian and California seismicity. The code evaluates a set of features and uses a supervised machine learning approach to provide probability estimates for a subsequent large earthquake during a seismic sequence. By analyzing an earthquake catalog, the software identifies clusters and trains the algorithm on them. It then uses the training results to obtain forecasting for a test set of independent data to estimate training performance. After appropriate testing, the software can be used as an Operational Earthquake Forecasting (OEF) method for the next stronger earthquake. For ongoing clusters, it provides near-real-time forecasting of a strong aftershock through a traffic light classification aimed at assessing the level of concern. This article provides information about the NESTOREv1.0 algorithm and a guide to the software, detailing its structure and main functions and showing the application to recent seismic sequences in California. By making the NESTOREv1.0 software available, we hope to extend the impact of the NESTORE algorithm and further advance research on forecasting the strongest earthquakes during seismicity clusters.
The Effect of Curcuma Longa Rhizome Extract on the Root Canal Dentin Discoloration
Authors: Azzahra Aulia , Mozartha Martha , Bikarindrasari Rini 
Published: March 2023

Root canal treatment aims to remove vital and necrotic tissue, microorganisms, and their products from the root canal. In this case, chemical endodontic irrigants such as NaOCl and Chlorhexidine (CHX) are required. Unfortunately, both have side effects. Twenty percent of C. longa rhizome extract may be a potential alternative due to its antibacterial activity and the ability to dissolve the smear layer. However, it contains curcumin, a colorant that can stain dentin. This study aims to evaluate the influence of 20% C. longa rhizome extract on root canal dentin discoloration. Thirty decoronated incisor root segments were prepared using the crown-down technique and divided into three groups (n=10). Each group was irrigated with a different solution. Twenty percent of C. longa rhizome extract was the treatment group, the combination of 5.25% NaOCl and 2% CHX was the positive control group, and distilled water was the negative control group. UV Vis 2401 PC spectrophotometer was utilized based on the dE*ab value to assess the discoloration on the root canal. The One Way ANOVA and Post Hoc Games Howell tests were employed to analyze the data. The highest discoloration value was revealed in the treatment group, and the least was in the negative control group, with a significant difference between the two. Furthermore, One-way ANOVA showed no significant differences between the treatment and positive control group (p0.05). C. Longa 20% extract had an effect on the discoloration of root canal dentin.
Use of social networking sites and applications in identification of missing and unidentified persons: A robust forensic tool
Authors: Kulkarni Meghashyama , N S Sahana , Verghese Rhea , Khatoon Hajira , Renuga S  , Akalya P  
Published: March 2023

Social media is an invaluable tool when seeking information or evidence in criminal cases or in finding missing persons. Social media encompasses vast amount of information such as videos, photos, texts posted by criminals, witnesses and/or victims itself. Social media forensics helps recuperation of electronic evidence from social networking sites which often plays a crucial role in the conviction of a suspect. However, there barely exist any applications which can aid in identifying a deceased person.For identification of deceased, forensic odontologists search for antemortem data such as dental casts, X-ray images, portrait pictures showing the anterior teeth etc., for comparison with the post-mortem data. Archetypal features such as tooth rotations, diastemas, missing teeth, supernumerary teeth, crowded teeth, recognizable removable/fixed prostheses and other attributes could be present in the missing person’s profile and can be crosschecked during the autopsy of the unidentified corpse. For this reason, smile photos represent one of the most common sources of dental information, especially when no technical antemortem dental data is available. To date, there is only one forensic application for smartphones which helps in storage of antemortem smile photo of individuals. Storing the antemortem data that is easily accessible from the social media network aids as an important forensic tool especially in natural disasters or terrorist attacks where human identification process can be arduous.
Evaluation of edema formation and salivary EGF related to 810 nm diode laser and conventional surgery after frenectomy
Authors: Burak AK  
Published: March 2023

The surgical procedure that lessens edema formation after frenectomy surgery is important.Re-epithelialization with lasers occurs differently from conventional surgery, and this can affect the salivary EGF level. The aim of this study was to determine edema caused by frenectomy surgery and compare the amount of EGF in saliva. Conventional and 810 nm diode laser surgery performed with thirty-four patients. Laser parameters were 400 µm fiber with 2.5 W output energy, in continuous mode.3D face scan data was obtained with a Planmeca Proface Mid device and analyzed with the 3D metrology method using the CloudCompare V2 software. Cephalometric analysis was performed using 2D profile photographs with Geogebra software. Edema measurements were repeated on day 1 (T1), day 3 (T2) and day 14 (T3). All saliva samples were collected at T1 and T3 and salivary EGF concentration was determined using the ELISA method. In conventional surgery, a significant difference was found between ΔT2-T1 and ΔT3-T1 in 3D metrology measurements (p=0.0046). In 2D cephalometric measurements there was significant differences in Angle A T2-T1 vs. Angle A T3-T1 (p=0,0014) and vs. Angle B T2-T1 (p=0,0017) and vs. Angle B T3-T1 (p=0,0087) in conventional surgery. There were no significant changes in edema measurements of laser surgery. The laser frenectomy does not produce edema significantly (p=0,1232). There were no significant changes between groups in salivary EGF measurements (p&#62;0.999). The 810 nm laser surgery produced less edema than conventional surgery. The 810 nm diode laser does not significantly affect salivary EGF.
Toxic Effect of Silver Nanoparticles on Liver, Gill and Muscle Tissues of Zebrafish <i>Danio rerio</i>
Authors: Shelke A. D. 
Published: March 2023

The present study was aimed to evaluate the toxic effect of Silver nanoparticle on the liver, gill and muscle tissues of the Zebrafish, Danio rerio. The experiment was designed to understand the chronic toxicity of silver nanoparticles (AgNPs) in adult fish, Danio rerio. In the chronic toxicity study adult fish, Danio rerio were divided in to two groups. First group was experimental group in which fish were successively treated with a graded series of 0.3, 0.6, 0.9 mg/l an average 60 nm. PVP. coated AgNPs treatment were given for 21 days, at the end of experimental period, Reduced glutathione activity (GSH), Lipid peroxidation activity (LPO), Lactate dehydrogenase (LDH) and Total protein in liver, gill and muscle tissues were assayed. Second group were kept as a control which was free from AgNPs exposure. The levels of Reduced glutathione activity (GSH) and Total protein were found to be decreased were as Lipid peroxidation activity (LPO) and Lactate dehydrogenase activity (LDH) were found to be elevated in liver, gill and muscle tissue of AgNPs treated Zebrafish Danio rerio.
Pemahaman Konsep Kecepatan dan Kelajuan Melalui Soal Berbentuk Grafik bagi Calon Guru Biologi
Authors: Sarkity Dios , Sundari Putri Dwi 
Published: March 2023

Keterampilan pemecahan masalah merupakan salah satu keterampilan penting yang harus dimiliki untuk menghadapi tantangan abad 21. Keterampilan pemecahan masalah membutuhkan pemahaman konsep yang baik. Permasalahan sehari-hari terkait konsep fisika umumnya merupakan permasalahan pada topik kinematika. Permasalahan kinematika tidak hanya disajikan dalam bentuk deskripsi gerak tetapi juga dalam bentuk grafik. Kesulitan dalam memahami konsep dasar mekanika serta kesulitan memahami konsep vektor menyebabkan munculnya berbagai kesulitan dalam menyelesaikan masalah kinematika yang direpresentasikan dalam bentuk grafik. Penelitian ini merupakan penelitian deskriptif dengan metode survei. Tujuan penelitian ini adalah untuk menguji pemahaman konsep kecepatan dan kelajuan mahasiswa menggunakan soal berbentuk grafik. Responden penelitan ini adalah 46 Mahasiswa Pendidikan Biologi FKIP UMRAH. Pengumpulan data menggunakan dua soal essai. Hasil penelitian menunjukkan adanya kesulitan dalam memahami konsep kecepatan dan kelajuan serta merepresentasikan kedua besaran dalam bentuk grafik. Kesulitan disebabkan oleh kurangnya pemahaman konsep kecepatan dan kelajuan serta kurangnya pemahaman konsep vektor. Hal ini mengindikasikan pentingnya pembelajaran kinematika dengan penekanan pada pemahaman konsep melalui penerapan strategi pembelajaran multirepresentasi. Problem-solving skills are one of the important skills that must be possessed to face the challenges of the 21st century. Problem-solving skills require conceptual understanding. Everyday problems related to physics concepts are generally problems in kinematics. Kinematics problems are not only presented in the form of motion descriptions but also graphical form. Difficulties in understanding the basic concepts of mechanics and the concept of vectors cause various difficulties in solving kinematics problems represented in graphical form. This research was descriptive research with a survey method. The purpose of this study was to test the students' conceptual understanding of velocity and speed using a graphical question. The respondents of this research were 46 Biology Education Students, FKIP UMRAH. The data collection used two essay questions. The results showed difficulties in understanding the concepts of velocity and speed and representing the two quantities in graphical form. A lack of conceptual understanding of velocity and speed and a lack of conceptual understanding of the vector caused difficulties. This indicates the importance of kinematics learning, emphasising understanding the concepts through implementing multi-representation learning strategies.