bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dosimetric evaluation of cardiac and left anterior descending artery dose in patients with left-sided breast cancer treated by different techniques of hypofractionated adjuvant radiotherapy after breast conservative surgery
Authors: Armugam Nindra , Saleem Zoha Mohd , Veluru Chandipriya , Ramanjaneyulu Erukula 
Published: October 2022

The aims: to dosimetrically evaluate the dose to the heart and left anterior descending artery in left-sided early breast cases using different techniques.
Materials and methods: Prospective observational/analytical study done in cases of left-sided BCS referred for adjuvant RT in 54 patients. Patients who underwent left-sided BCS (breast conservative surgery), patients aged between 18- and 75 years performance status ECOG 0-2, histological confirmed DCIS, Invasive Breast Cancer-Stage 1, 2, 3, patients without any evidence of metastatic disease Irrespective of hormonal receptor and HER-2 neu status are included in the study.
Results: All the 3 parameters for LAD showed the highest doses with 3DCRT and lowest with VMAT. Thus our study favoured VMAT (p<0.01) as the planning technique to achieve the least doses of LAD. However, for the heart, there was no statistically significant difference between 3DCRT and IMRT (p=0.349) for the average mean dose (Gy). On the other hand, there was a statistically significant difference between 3DCRT Vs VMAT and IMRT Vs VMAT (95 % CI, p<0.01), again favouring VMAT as the choice of planning technique. The average heart max dose(Gy) and average heart V20(%) showed statistically significant benefits with VMAT (p<0.01). There was a statistically significant benefit (p<0.000) with VMAT for both LV parameters. At the same time, there was a statistically significant benefit in terms of ipsilateral lung dose with VMAT(p<0.000), the dose to the right lung, right breast and favoured 3DCRT (p<0.01). PTV95 % (Gy) by 3DCRT, IMRT, and VMAT in our study is 41.01, 41.96, and 41.76, respectively. Though the difference between the 3 techniques seems meagre, there was a statistically significant difference (p<0.012) favouring IMRT.
Conclusion: We conclude that using the VMAT technique in radiotherapy for left-sided breast cancer can significantly reduce radiation doses to the heart and LAD, potentially reducing cardiac risk. For all patients, the cardiac doses are considerably decreased for all dose levels without compromising the dose coverage to PTV, which is an advantage over IMRT and 3DCRT
Approval of the combined reserve calculation method (Chervonozayarske Gas Field as an example)
Authors: Lubkov Miсhail , Zezekalo Ivan , Soloviev Veniamin 
Published: October 2022

The object of the study is the calculation of the producing reserves of the gas-bearing reservoir. Increasingly, published studies provide justification for the possibility of restoring reserves in old depleted gas fields by gas flow from deep horizons. Given the possibility of resuming producing gas reserves, the issue of clarifying their volume in the reservoirs of fields at a late stage of development is promising.
In the course of the study, theoretical research methods were used: a system analysis of the inreservoir used, numerical modeling based on a combined finite element-difference method, methods for visualizing the inreservoir obtained, and analytical methods.
The method proposed in the paper for refining gas reserves combines the volumetric method and modeling of filtration processes using a combined finite element-difference method. The latter makes it possible to take into account the reservoir structure that is heterogeneous in terms of permeability and adequately describe the distribution of non-stationary reservoir pressure around the production well on a quantitative level. By applying an analytical formula based on the values of average reservoir and bottomhole pressures, the radii of the well feed contour were calculated for different periods of reservoir development. Thus, the active area (and volume) of the reservoir is determined, according to which the calculations of the producing reserves of the field are carried out.
The study was carried out on the example of the Chervonozayarske Gas Field (Ukraine) for the reservoir V-26-T-1a, discovered by one production well 468-B(D). The recoverable reserves of the V-26-T-1a reservoir calculated in this way are 597.69 million m3 of gas. At the same time, the error relative to the value indicated in the Atlas of Ukrainian Fields is 4.63 %.
The method of calculating reserves proposed in this study is useful for refining the reserves of depleted fields. The combination of the volumetric method with the results of simulation of filtration processes is an operational method for calculating the reserves of a reservoir discovered by one production well. At the same time, the use of a combined finite element-difference method makes it possible to take into account the complex heterogeneous structure of the reservoir and predict the distribution of reservoir non-stationary pressures around the production well.
MULTILINGUAL TEXT CLASSIFIER USING PRE-TRAINED UNIVERSAL SENTENCE ENCODER MODEL
Authors: Orlovskiy O. V. , Sohrab Khalili , Ostapov S. E. , Hazdyuk K. P. , Shumylyak L. M. 
Published: October 2022

Context. Online platforms and environments continue to generate ever-increasing content. The task of automating the moderation of user-generated content continues to be relevant. Of particular note are cases in which, for one reason or another, there is a very small amount of data to teach the classifier. To achieve results under such conditions, it is important to involve the classifier pre-trained models, which were trained on a large amount of data from a wide range. This paper deals with the use of the pre-trained multilingual Universal Sentence Encoder (USE) model as a component of the developed classifier and the affect of hyperparameters on the classification accuracy when learning on a small data amount (~ 0.05% of the dataset).
Objective. The goal of this paper is the investigation of the pre-trained multilingual model and optimal hyperparameters influence for learning the text data classifier on the classification result.
Method. To solve this problem, a relatively new approach to few-shot learning has recently been used – learning with a relatively small number of examples. Since text data is still the dominant way of transmitting information, the study of the possibilities of constructing a classifier of text data when learning from a small number of examples (~ 0.002–0.05% of the data set) is an actual problem.
Results. It is shown that even with a small number of examples for learning (36 per class) due to the use of USE and optimal configuration in learning can achieve high accuracy of classification on English and Russian data, which is extremely important when it is impossible to collect your own large data set. The influence of the approach using USE and a set of different configurations of hyperparameters on the result of the text data classifier on the example of English and Russian data sets is evaluated.
Conclusions. During the experiments, a significant degree of relevance of the correct selection of hyperparameters is shown. In particular, this paper considered the batch size, optimizer, number of learning epochs and the percentage of data from the set taken to train the classifier. In the process of experimentation, the optimal configuration of hyperparameters was selected, according to which 86.46% accuracy of classification on the Russian-language data set and 91.13% on the English-language data, respectively, can be achieved in ten seconds of training (training time can be significantly affected by technical means used).
KOLMOGOROV-WIENER FILTER FOR CONTINUOUS TRAFFIC PREDICTION IN THE GFSD MODEL
Authors: Gorev V. N. , Gusev A. Yu. , Korniienko V. I. 
Published: October 2022

Context. We investigate the Kolmogorov-Wiener filter weight function for the prediction of continuous stationary telecommunication traffic in the GFSD (Gaussian fractional sum-difference) model.
Objective. The aim of the work is to obtain an approximate solution for the corresponding weight function and to illustrate the convergence of the truncated polynomial expansion method used in this paper.
Method. The truncated polynomial expansion method is used for the obtaining of an approximate solution for the KolmogorovWiener weight function under consideration. In this paper we used the corresponding method on the basis of the Chebyshev polynomials of the first kind orthogonal on the time interval on which the filter input data are given. It is expected that the results based on other polynomial sets will be similar to the results obtained in this paper.
Results. The weight function is investigated in the approximations up to the eighteen-polynomial one. It is shown that approximations of rather large numbers of polynomials lead to a good coincidence of the left-hand side and the right-hand side of the Wiener-Hopf integral equation. The quality of the coincidence is illustrated by the calculation of the corresponding MAPE errors.
Conclusions. The paper is devoted to the theoretical construction of the Kolmogorov-Wiener filter for the prediction of continuous stationary telecommunication traffic in the GFSD model. The traffic correlation function in the framework of the GFSD model is a positively defined one, which guarantees the convergence of the truncated polynomial expansion method. The corresponding weight function is obtained in the approximations up to the eighteen-polynomial one. The convergence of the method is illustrated by the calculation of the MAPE errors of misalignment of the left-hand side and the right-hand side of the Wiener-Hopf integral equation under consideration. The results of the paper may be applied to practical traffic prediction in telecommunication systems with data packet transfer.
IMAGE CLASSIFIER RESILIENT TO ADVERSARIAL ATTACKS, FAULT INJECTIONS AND CONCEPT DRIFT – MODEL ARCHITECTURE AND TRAINING ALGORITHM
Authors: Moskalenko V. V. , Moskalenko A. S. , Korobov A. G. , Zaretsky M. O. 
Published: October 2022

Context. The problem of image classification algorithms vulnerability to destructive perturbations has not yet been definitively resolved and is quite relevant for safety-critical applications. Therefore, object of research is the process of training and inference for image classifier that functioning under influences of destructive perturbations. The subjects of the research are model architecture and training algorithm of image classifier that provide resilience to adversarial attacks, fault injection attacks and concept drift.
Objective. Stated research goal is to develop effective model architecture and training algorithm that provide resilience to adversarial attacks, fault injections and concept drift.
Method. New training algorithm which combines self-knowledge distillation, information measure maximization, class distribution compactness and interclass gap maximization, data compression based on discretization of feature representation and semi-supervised learning based on consistency regularization is proposed.
Results. The model architecture and training algorithm of image classifier were developed. The obtained classifier was tested on the Cifar10 dataset to evaluate its resilience over an interval of 200 mini-batches with a training and test size of mini-batch equals to 128 examples for such perturbations: adversarial black-box L∞-attacks with perturbation levels equal to 1, 3, 5 and 10; inversion of one randomly selected bit in a tensor for 10%, 30%, 50% and 60% randomly selected tensors; addition of one new class; real concept drift between a pair of classes. The effect of the feature space dimensionality on the value of the information criterion of the model performance without perturbations and the value of the integral metric of resilience during the exposure to perturbations is considered.
Conclusions. The proposed model architecture and learning algorithm provide absorption of part of the disturbing influence, graceful degradation due to hierarchical classes and adaptive computation, and fast adaptation on a limited amount of labeled data. It is shown that adaptive computation saves up to 40% of resources due to early decision-making in the lower sections of the model, but perturbing influence leads to slowing down, which can be considered as graceful degradation. A multi-section structure trained using knowledge self-distillation principles has been shown to provide more than 5% improvement in the value of the integral mectric of resilience compared to an architecture where the decision is made on the last layer of the model. It is observed that the dimensionality of the feature space noticeably affects the resilience to adversarial attacks and can be chosen as a tradeoff between resilience to perturbations and efficiency without perturbations.
3D-моделювання персонажів з анімацією для ігрових проектів. Частина 1
Authors: Вилков В. С. , Болтач С. В. , Ломовцев П. Б. 
Published: October 2022

Технології 3d графіки проникли в багато сфер людської діяльності, і приносять колосальний прибуток. Так у сфері науки 3D-графіка використовується в основному для проектування технічних виробів. Сучасні технології дозволяють створити візуалізацію проектованого об'єкта, максимально наближеного до реального пристрою, оцінити його наочно. Тривимірна модель майбутнього механізму прискорює і полегшує роботу інженера-конструктора, позбавляючи його від процесу креслення. Графіка у сфері реклами та маркетингу використовується майже завжди. Все частіше маркетологи використовують 3D-візуалізацію об'єктів, створюючи анімаційні рекламні ролики. Зйомки в реальних умовах не дають такої привабливої картинки, як із застосуванням анімації. 3D-зображення інтер'єру або будівлі з використанням комп'ютерних програм зацікавилися порівняно недавно, так як раніше для цього виготовляли макети з картону або спеціальних матеріалів. Сьогодні 3D-візуалізація будинку - важливий етап перед початком будівельних робіт. Дана технологія дозволяє подивитися на готовий об'єкт і внести зміни при необхідності. Звичайно у кінематографі і ігровій індустрії 3D-графіка прижилася і вкоренилася назавжди. Сучасній людині важко уявити улюблену гру без тривимірних персонажів, а черговий фільм - без 3D-графіки.
Інформаційна технологія реконфігуровних систем на базі мікросхем програмованої логіки для керуючого модулю бездротової мережі датчиків
Authors: Крайник Я. М. 
Published: October 2022

У представленій статті запропонована інформаційна технологія реконфігурації систем на базі мікросхем програмованої логіки для керуючого модулю бездротової мережі сенсорів. Розроблена інформаційна технологія дозволяє змінювати налаштування мережі сенсорів (додавати, видаляти, змінювати поточні налаштування) без необхідності внесення змін у систему на програмному рівні. Така технологія робить систему більш універсальною та дозволяє проводити обробку даних для різних бездротових технологій без необхідності перезавантаження системи. Запропонований підхід базується на тому, що модулі можуть бути замінені безпосередньо під час роботи у режимі реального часу. При цьому, накладаються обмеження щодо реалізації таких модулів з точки зору внутрішньої інфраструктури мікросхеми. Передбачається, що наявний контролер керує станами модулів обробки та інтерфейсного модулю та здатен завантажувати дані прошивки у відповідні виділені блоки схеми. Завантаження відбувається засобами стандартних шин взаємодії, які можуть бути реалізовані у програмованій частині. Контроль за доступними варіантами прошивки працюючого модулю також покладено на контролер. Таким чином забезпечується додатковий рівень абстракції щодо взаємодії з зовнішніми модулями та зменшується залежність від інтерфейсу підключення таких модулів. У результаті цього підвищується рівень гнучкості системи, а також забезпечується безперервна робота основної частини схеми. Це є основною відмінністю запропонованого рішення від відомих технологій. Таке рішення є особливо актуальним для мережі бездротових датчиків, оскільки системи цього типу можуть змінювати конфігурацію кінцевих а модулів, а це вимагає змін з точки зору усіх попередніх елементів обробки.
Дослідження методів соціальної інженерії. Частина 2. Вплив на здоров’я людини.
Authors: Шапеєв М. О. , Селіванова А. В. 
Published: October 2022

Представлена стаття присвячена дослідженню методів захисту персональних даних від впливу соціальних інженерів (СІн). В процесі роботи досліджено види персональних даних та способи їх потрапляння у мережу, методи захисту даних у мережі, методи соціальної інженерії (СІ) та методи захисту від СІ, проведено аналіз інформаційних ресурсів, що містять інформацію про соціальну інженерію та захист даних. Проведено збір даних методом опитування, що характеризує поведінку людей із персональними даними, зокрема при використанні мережі Інтернет. Отримані дані оброблені за допомогою засобів інтелектуального аналізу даних із використанням інструментальних засобів Google та Orange. Розроблено модель безпечної поведінки для збереження даних у мережі, використання якої значно ускладнить доступ соціальних інженерів до персональних даних людини.Результати дослідження було впроваджено у аналітичну платформу KitStat у якості оновлення, що дозволяє надати інформаційну підтримку та забезпечити продовження збору даних для подальшого дослідження.
(Il)legally Exhausted
Authors: Reyna Rivarola Alonso , S. Russell Felecia 
Published: October 2022

On October 5, 2022, the United States Fifth Circuit Court of Appeals announced its ruling on Texas v. United States, which found the Deferred Action for Childhood Arrivals (DACA) memorandum (and program) illegal. The Fifth Circuit Court of Appeals ordered the United States District Court for the Southern District of Texas to rule on the legality of the Biden Administration’s Final Rule on the program, which the Department of Homeland Security publicized in late August and is under review and set to take effect on October 31, 2022. On October 14, the United States District Court for the Southern District of Texas also found DACA illegal. However, Judge Andrew Hanan extended the temporary order allowing current recipients to renew their permits until further notice. The future of DACA remains uncertain, yet the anxiety, exhaustion, numbness, and tiredness that stem from its legal terrorism remain real for those who benefit from the program. In this essay, the authors, two undocumented immigrant educators with DACA, reflect on their experiences with DACA, the meaning of the latest rulings, their futures, and the responsibility of higher education institutions to their undocumented immigrant students and professionals.
Evaluación de los parámetros eritrocitarios en donantes recurrentes de plaquetas, Medellín
Authors: Mantilla Gutiérrez Carmen Yulieth , Gil Betancur Alejandro , Mesa Muñoz Laura , Collazos Escobar Juan David , Cardona Arias Jaiberth 
Published: October 2022

Introducción: El efecto de la donación a repetición de plaquetas por aféresis sobre el eritrograma se desconoce para población colombiana.
Objetivo: Evaluar los cambios en la línea eritroide de donantes habituales de plaquetoaféresis de dos bancos de sangre de Medellín.
Métodos: Estudio longitudinal con 100 donantes repetitivos de plaquetoaféresis con 3 donaciones o más. La fuente de información fueron las bases de datos de los bancos de sangre participantes. Los datos demográficos, tiempo entre donaciones y parámetros eritocitarios fueron consignados en una base de datos de excel y analizados empleando el software SPSS versión 27.0. Se realizó descripción de variables mediante medidas de resumen y se emplearon las siguientes pruebas estadísticas: T de Student, U de Mann Whitney, correlaciones, T pareada y Wilcoxon, considerándose un nivel de significación estadística de <0,05.
Resultados: El 58% de los donantes fueron mujeres, el 75% tenían 30 años o más y 70% residían en el área metropolitana. No se observaron diferencias estadísticamente significativas para la hemoglobina según sexo y grupo etario, el VCM aumentó en la segunda, tercera y cuarta donación respecto a la primera, el HCM disminuyó en la cuarta donación respecto a la primera y el CHCM disminuyó continuamente entre donaciones.
Conclusiones: Se observaron cambios en los parámetros eritrocitarios en los donantes recurrentes de plaquetas correspondientes a mecanismos medulares compensatorios normales sin afectación clínica de los donantes. Se sugiere realizar estudios complementarios para evaluar otras variables relacionadas con la eritropoyesis y los efectos de la circulación extracorpórea durante la plaquetoaféresis.
Antioxidant and Acetylcholinesterase Inhibitor Potentials of the Stem Extract of Pternandra galeata
Authors: Suciati Suciati , Inayah Dwiki Nur , Widyawaruyanti Aty , Rudiyansyah Rudiyansyah 
Published: October 2022

Background: Pternandra galeata belongs to the family Melastomataceae. It is a native flowering plant in Borneo Island that serve as food for monkey habitat. There has been limited study on the medicinal and chemical properties of this plant. Objectives: We investigated the acetylcholinesterase inhibitory activity and evaluated the antioxidant activity of the ethanolic extract of Pternandra galeata stem. The total phenolic content in the sample was also determined. Methods: The acetylcholinesterase inhibitory assays were performed using Ellman’s method. Two different methods were used to evaluate the antioxidant activity of 2,2-diphenyl-1-picryl hydrazyl (DPPH) and 2,2′-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) assays. The total phenolic content was determined by the Folin-Ciocalteu method by employing gallic acid as a reference. Results: The ethanolic extract of the P. galeata stems inhibited the AChE enzyme with an IC50value of 74.62 ± 0.89 µg/mL. The sample exhibited antioxidant activity in the DPPH assay with an IC50 value of 20.21 ± 0.08 µg/mL and 7.68 ± 0.09µg/mL in the ABTS scavenging assay. The total phenolic content was 164.71 ± 3.33
mg GAE/g extract. Conclusion: The ethanolic extract of the P. galeata stem can be a promising cholinesterase inhibitor and antioxidant for treating Alzheimer’s disease.
Why are Children Still Working?
Authors: Sandra Heri , Dawood Taufiq Carnegie , Abd. Majid M. Shabri 
Published: October 2022

This study aims to determine the effect of household characteristics and children's living environment on child labor to reduce the likelihood of child labor occurrence. The data source of this research is Sakernas (Indonesian National Labor Force Survey) of August 2018, including school accreditation, household head gender, age, working sector, employment status, household size, dependency ratio, location, and school quality, towards the probability of child labor occurrence in Indonesia. Results suggest that the government must prioritize welfare programs for women household heads, asses the minimum age for marriage, improve education facilities, and increase parental awareness to eliminate child labor. The government needs to improve education infrastructure. This infrastructure improvement should be accompanied by the convenience of school access and its costs. The lack of education infrastructure, especialy in rural areas makes it difficult for children there to attend formal schooling.