bluuebunny/crossref_metadata_2025_split huggingface dataset:
Virtual Meter with Flow Pattern Recognition Using Deep Learning Neural Networks: Experiments and Analyses
Authors: Mercante Renata , Netto Theodoro Antoun 
Published: February 2024

Summary
Operators often require real-time measurement of fluid flow rates in each well of their fields, which allows better control of production. However, petroleum is a complex multiphase mixture composed of water, gas, oil, and other sediments, which makes its flow challenging to measure and monitor. A critical issue is how the liquid component interacts with the gaseous phase, also known as the flow pattern. For example, sometimes liquids can accumulate in the lower part of the pipeline and block the flow completely, causing a gas pressure buildup that can lead to unstable flow regimes or even accidents (blowouts). On the other hand, some flow patterns can also facilitate sediment deposition, leading to obstructions and reduced production. Thus, this work aims to show that deep neural networks can act as a virtual flowmeter (VFM) using only a history of production, pressure, and temperature telemetry, accurately estimating the flow of all fluids in real time. In addition, these networks can also use the same input data to detect and recognize flow patterns that can harm the regular operation of the wells, allowing greater control without requiring additional costs or the installation of any new equipment. To demonstrate the feasibility of this approach and provide data to train the neural networks, a water-air loop was constructed to resemble an oil well. This setup featured inclined and vertical transparent pipes to generate and observe different flow patterns and sensors to record temperature, pressure, and volumetric flow rates. The results show that deep neural networks achieved up to 98% accuracy in flow pattern prediction and 1% mean absolute prediction error (MAPE) in flow rates, highlighting the capability of this technique to provide crucial insights into the behavior of multiphase flow in risers and pipelines.
A New Mechanistic Model for Wettability-Altering Surfactant Floods in Carbonates
Authors: Shi Yue , Mohanty Kishore K. , Leung Juliana Y. , You Qing 
Published: February 2024

Summary
Surfactants and low-salinity brines have been shown to be effective for enhanced oil recovery in carbonate rocks through wettability alteration (WA). Oil wettability of carbonates is ascribed to the adsorbed organic acid components in oil. The removal of the adsorbed acids leads to WA. Previous experiments with wettability-altering surfactants have shown the following: WA is a slow process; acid removal is irreversible in most cases; surfactants can access the rock surface in water-wet regions and at three-phase contact lines rather than the entire rock surface; surfactant molecules become inactive after interactions with acids. Existing models/simulators do not incorporate the aforementioned observations. In this work, a multiphase, multicomponent, finite-difference reservoir simulator incorporating a new mechanistic model for WA was developed. The model captures the key physicochemical reactions between adsorbed acids and surfactant molecules and honors the four experimental evidences. The model was first tested at the core scale. The simulation results demonstrated that the model can accurately predict waterflood performance in rocks with various wettability. It can also effectively account for the influence of injection rates in surfactant flood experiments. The effectiveness of the surfactant, controlled by an interaction constant in the model, was found to be a dominant factor. The model was also tested for field-scale pilot tests. The results revealed that total quantity of chemicals injected and the injection rate have a more pronounced effect on oil recovery compared to the timing of surfactant treatment and the concentration of surfactant slug.
Metagenome-based microbial community analysis of urine-derived fertilizer
Authors: Desta Adey , Woldeyohannis Nebiyat N. 
Published: February 2024

Abstract

The present study aimed to understand the bacterial portion of the microbial community composition and dynamics of plasmid-mediated antimicrobial resistant genes during the optimized process of struvite production from composite human urine. Samples for DNA extraction was collected from fresh urine, stored urine and struvite during the process of struvite production. Shotgun metagenomic analysis was employed to understand the bacterial community. The most dominant phyla in the fresh and stored urine samples were Pseudomonadata, which comprised of 60% and 43% respectively, followed by Bacillota, comprised of 25% and 39% respectively. The struvite sample was dominated by the phylum Bacilliota (61%), Pseudomonadota (18%) and bacteroidota (12%). Members of the above phyla persisted in dominating each sample accordingly. Member of the family Morganellaceae was dominant in the fresh sample while the stored urine and struvite samples were dominated by the family Clostridiaceae. A decrease of members of the class Gammaproteobacteria was observed from the fresh to the struvite sample though not statistically significant. The genus Pseudomonas remained to be the most dominant member of Gammaproteobacteria in the fresh and stored urine sample with OTU count of 12,116 and 6,155 with a marked decrease by half in the stored sample. On the other hand, members of the genera Clostridium, Enterococcus, Bacteroides in the stored samples and Clostridium, Alkaliphilus and Pseudomonas in the struvite samples were dominant. Ninety-six percent of the identified genera were shared in all the samples and the antimicrobial resistance genes (ARGs) identified in the fresh urine were shared by the struvite but not by the stored urine (eg. sul, cat, aph and aac members). the presence of high abundance of ARGs in struvite needs attention in the persistence and transmissibility of the ARGs before application for agriculture.
دور الاستثمار في الموارد البشرية في دعم سمعة المنظمة
Authors: F .Mohammed Zhila Jamal , Saeed Lovan Akram 
Published: February 2024

يهدف هذا البحث إلى تحليل دور الاستثمار في الموارد البشرية في دعم سمعة المنظمة، وتم اعتماد المنهج الوصفي التحليلي لتحديد الإطار النظري والميداني لمفاهيم ومتغيرات البحث، وقد استخدم الباحثتان استمارة الاستبانة كأداة لجمع البيانات، وتم توزيع (100) استمارة على أعضاء الهيئة التدريسية في المعهد التقني في السليمانية، جامعة السليمانية التقنية ، وتم الحصول على (91) استمارة صالحة للتحليل، ومن أجل اختبار فرضيات البحث تم اختبار علاقات الارتباط والتأثير من خلال تطبيق الأساليب الاحصائية بواسطة البرنامج الاحصائي (SPSS V.26)، وتوصل البحث إلى مجموعة من الاستنتاجات أهمها: وجود علاقة ارتباط معنوية طردية بين الاستثمار في الموارد البشرية، وسمعة المنظمة، ووجود تأثير موجب ذات دلالة معنوية لأبعاد الاستثمار في الموارد البشرية (التدريب والتطوير، والثقافة التنظيمية، والابتكار والتجديد، والخبرة) في دعم سمعة المنظمة بأبعادها: (الابداع، المسؤولية الاجتماعیة‌‌‌، الأداء المالي والجودة) في المنظمة المبحوثة، وكان لبعد الخبرة التأثير الأكبر بين أبعاد الاستثمار في الموارد البشرية الأربعة في دعم سمعة المنظمة، وبناء على ذلك فقد اقترحت الباحثتان ضرورة تعزيز واستثمار المزيد في الموارد البشرية من خلال تطوير مهاراتهم وتحسين مستواهم العلمي، وخاصة في المؤسسات الأكاديمية، لأن الموارد البشرية هي سبب كل تقدم ونتائج جيدة، حيث إن رأس المال البشري هو مصدر كل ابتكار وتحسين سمعة الجامعة.
Investigation of Deepfake Voice Detection Using Speech Pause Patterns: Algorithm Development and Validation
Authors: Kulangareth Nikhil Valsan , Kaufman Jaycee , Oreskovic Jessica , Fossat Yan 
Published: February 2024

Background
The digital era has witnessed an escalating dependence on digital platforms for news and information, coupled with the advent of “deepfake” technology. Deepfakes, leveraging deep learning models on extensive data sets of voice recordings and images, pose substantial threats to media authenticity, potentially leading to unethical misuse such as impersonation and the dissemination of false information.

Objective
To counteract this challenge, this study aims to introduce the concept of innate biological processes to discern between authentic human voices and cloned voices. We propose that the presence or absence of certain perceptual features, such as pauses in speech, can effectively distinguish between cloned and authentic audio.

Methods
A total of 49 adult participants representing diverse ethnic backgrounds and accents were recruited. Each participant contributed voice samples for the training of up to 3 distinct voice cloning text-to-speech models and 3 control paragraphs. Subsequently, the cloning models generated synthetic versions of the control paragraphs, resulting in a data set consisting of up to 9 cloned audio samples and 3 control samples per participant. We analyzed the speech pauses caused by biological actions such as respiration, swallowing, and cognitive processes. Five audio features corresponding to speech pause profiles were calculated. Differences between authentic and cloned audio for these features were assessed, and 5 classical machine learning algorithms were implemented using these features to create a prediction model. The generalization capability of the optimal model was evaluated through testing on unseen data, incorporating a model-naive generator, a model-naive paragraph, and model-naive participants.

Results
Cloned audio exhibited significantly increased time between pauses (P<.001), decreased variation in speech segment length (P=.003), increased overall proportion of time speaking (P=.04), and decreased rates of micro- and macropauses in speech (both P=.01). Five machine learning models were implemented using these features, with the AdaBoost model demonstrating the highest performance, achieving a 5-fold cross-validation balanced accuracy of 0.81 (SD 0.05). Other models included support vector machine (balanced accuracy 0.79, SD 0.03), random forest (balanced accuracy 0.78, SD 0.04), logistic regression, and decision tree (balanced accuracies 0.76, SD 0.10 and 0.72, SD 0.06). When evaluating the optimal AdaBoost model, it achieved an overall test accuracy of 0.79 when predicting unseen data.

Conclusions
The incorporation of perceptual, biological features into machine learning models demonstrates promising results in distinguishing between authentic human voices and cloned audio.
Development of a context diagram for an agent-based spatially distributed system
Authors: Дианов С. В. , Швецов А.Н. , Дианов Д. С. 
Published: February 2024

В статье рассматриваются особенности разработки контекстных диаграмм агент- ориентированных пространственно-распределенных систем. Представлен авторский подход к их содержанию. Он основан на том, что данные системы относятся к особому классу, в котором территориальное размещение объектов увязывается с их динамикой и активным поведением. Исходя из этого, предложено выделить два контура взаимодействия между внешними объектами и системой: контур управления целевыми установками на внутрисистемном уровне и контур управления правилами организации функционирования системы. Также в статье рассмотрены вопросы отображения элементов, обозначенных на диаграммах. Предложенные подходы продемонстрированы на примере построения контекстной диаграммы системы лесозаготовки регионального уровня.
The article discusses the features of developing context diagrams for agent-based spatially distributed systems. The authors’ approach to their content is presented. It is based on the fact that these systems belong to a special class in which the territorial location of objects is linked to their dynamics and active behavior. Based on this, it is proposed to distinguish separately two circuits of interaction between external objects and the system: a circuit for managing target settings at the intrasystem level and a circuit for managing the rules for organizing the system functioning. The issues of displaying the elements indicated in the diagrams are considered. The proposed approaches are demonstrated using the example of constructing a context diagram of a regional-level logging system.
Formation and development of foreign-language professional and communicative competence of technical university students in the course of application of active and interactive learning technologies
Authors: Власова И.В. 
Published: February 2024

В статье поставлена цель рассмотреть вопрос о формировании и развитии иноязычной профессионально-коммуникативной компетенции студентов технического вуза в процессе обучения иностранному языку в условиях модернизации образования. Автором сформулированы основные способы достижения данной цели. Основываясь на практическом опыте работы со студентами технических специальностей, автор статьи описывает метод проблемного обучения, используемый в процессе работы со студентами по развитию и формированию иноязычной профессионально-коммуникативной компетенции (метод «круглого стола»), который вызывает особый интерес у студентов технических специальностей и является эффективным для активизации навыков устного общения на иностранном языке.
The article deals with the formation and development of foreign-language professional and communicative competence of technical university students in the process of teaching a foreign language in the conditions of education modernization. The author formulates the main ways to achieve this goal. Based on the practical experience of working with students of technical specialities, the author describes the method of problem-based learning used for the development and formation of foreign-language professional-communicative competence (round table method), which is of particular interest to students of technical specialities and is effective for activating the skills of oral communication in a foreign language.
Pedagogical task as a determinant of pedagogical situation
Authors: Доброва В.В. 
Published: February 2024

В статье рассматривается педагогическая задача, определяющая границы и смысл педагогической ситуации. Показано, что единицей реального педагогического процесса является педагогическая ситуация, в рамках которой решается единичная педагогическая задача. Педагогическая задача имеет тот же компонентный состав, что и педагогический процесс, ее структура соответствует структуре педагогического процесса. Также в статье приведены этапы решения педагогической задачи. Под педагогической задачей понимается цель, реализуемая в конкретных педагогических условиях, требующая применения известного или нового способа ее достижения, направленная на передачу единицы, кванта культуры учащемуся или группе учащихся.
The article deals with a pedagogical task as defining the boundaries and meaning of peda- gogical situation. It is shown that the unit of the real pedagogical process is a pedagogical situation, within which a single pedagogical task is solved. The pedagogical task has the same components as the pedagogical process itself; the structure of the task correlates with the structure of the pedagogi- cal process, the task is a semantic unit of the pedagogical process analysis. The article also focuses on the stages of solving a pedagogical task. The pedagogical task is understood as a goal set in spe- cific pedagogical conditions, requiring the application of a known or new way to achieve it, aimed at transferring a unit, a quantum of culture to a student or a group of students.
Career guidance gaming technologies in professional self-determination of high schoolchildren
Authors: Дрянных Н.В. , Лаврентьева А.А. , Ракова С.С. 
Published: February 2024

Авторы рассматривают понятия «самоопределение» и «профессиональное самоопределение», раскрывают сущность профессионального самоопределения обучающихся в старшем школьном возрасте. В статье уделяется внимание игровым профориентационным технологиям, посредством которых может осуществляться активное профессиональное самоопределение старшеклассников. Авторами предлагается концепция профориентационной онлайн-игры под названием «Твой выбор» для обучающихся 10–11-х классов общеобразовательных организаций. Игра разработана на базе ФГБОУ ВО «Вологодский государственный университет».
The authors consider the concepts of “self-determination” and “professional self- determination”, reveal the essence of professional self-determination of students in senior school age. The article focuses on gaming career guidance technologies, through which high school schoolchildren can professionally self-determine. The authors propose the concept of a career-guided online game for schoolchildren in grades 10–11 of educational institutions called “Your Choice”, developed on the basis of Vologda State University.
Tensor data model for the development of trajectories for accompanying physically challenged people and people with disabilities due to their variable characteristics
Authors: Банин А.А. , Лягинова О.Ю. 
Published: February 2024

В сфере цифрового сопровождения профориентации, образования и трудоустройства инвалидов и лиц с ОВЗ важное место занимает построение траекторий такого сопровождения с учетом вариативных характеристик данных лиц. В качестве инструментария для математического описания этих характеристик рассматривается представление данных, описывающих вариативные характеристики, в виде тензора. Для выявления кластерной структуры субъектов сопровождения и определения зависимостей вариативных характеристик друг от друга и общих причин разрабатывается тензорная модель данных с применением компонентного анализа. Компонентный анализ применяется к тензору в целом и его k-мерным срезам. Представленная в работе модель определения релевантной информации может быть использована для построения вариативных траекторий сопровождения инвалидов и лиц с ОВЗ.
In the field of digital support for career guidance, education and employment of physically challenged people and people with disabilities, the construction of support trajectories plays an important role, taking into account the variable characteristics of these people. As a tool for the mathematical description of these characteristics, the representation of data describing variable characteristics in the form of a tensor is considered. A tensor data model applying component analysis is developed to identify the cluster structure of support subjects, determine the dependencies of variable characteristics and common causes. Component analysis is applied to the tensor as a whole and its k-dimensional slices. The model presented in the paper for determining relevant information can be used to construct variable trajectories for accompanying physically challenged people and people with disabilities.
Geoinformation system for ecological monitoring in urban environment
Authors: Козеева О. О. 
Published: February 2024

Для того, чтобы повысить эффективность мероприятий по экологическому мониторингу на основе выбора наиболее оптимального расположения датчиков в городском пространстве, мы представили описание алгоритма, имитирующего работу датчиков- газоанализаторов в моделируемых гидрометеорологических условиях. Таким образом, была сформирована архитектура ГИС, соответствующая предлагаемой логике моделирования, обозначены основные модули системы, информационные потоки и принципы работы системы в целом. Также мы описали возможность интеграции данной ГИС с аппаратно-программными платформами.
The aim of this work is to increase the effectiveness of GIS for environmental monitoring based on systematization and processing of spatially-coordinated and attribute data of the urban space, as well as computer modeling of the placement and simulation of environmental monitoring sensors using information systems and technologies. The author solves the following tasks: to develop algorithmic support for zoning the urban space in accordance with the placement of environmental monitoring sensors through computer modeling; to develop algorithmic support for simulating the migration processes of pollutants in the atmosphere; to develop the geoinformation system architecture for environmental monitoring, as part of a comprehensive software and hardware platform. The article presents an algorithm for modeling the operation of environmental monitoring sensors in the urban environment under different hydrometeorological conditions, formed on the convection-diffusion equation, and the structure of the GIS for environmental monitoring based on the developed algorithmic support, which provides for integration with hardware-software platforms.
Mathematical modelling of hydraulic resistance of the crushed waste layer during its screw transportation in the activated carbon production unit
Authors: Сафин Р.Г. , Родионов А.С. , Сотников В.Г. , Тимербаев Н.Ф. , Хабибуллина А.Р. 
Published: February 2024

Рассмотрены результаты расчетов гидравлического сопротивления при наклонном шнековом транспортировании. В результате математического моделирования установлено, что изменения угла наклона, диаметра и длины шнека влияют на гидравлическое сопротивление слоя сырья. Показано, что увеличение диаметра винта без изменения производительности в значительной мере уменьшает гидравлическое сопротивление слоя. Высокая эффективность данного конструктивного решения выявлена при проектировании шнеков большей длины. Угол наклона шнекового транспортера оказывает значительное влияние на гидравлическое сопротивление по мере роста длины шнека, особенно при углах наклона более 10°. Представлены результаты моделирования зависимости мощности шнекового транспортирования от производительности. Проведен уточненный расчет мощности с учетом осевой скорости, угла наклона шнека, угловой скорости шнека, угловой скорости материала, коэффициентов трения, угла наклона винтовой линии. Расхождение уточненных значений мощности достигает 20 %. Это может свидетельствовать о том, что учет дополнительных параметров необходим при проектировании шнековых питателей, предназначенных для транспортировки сыпучих материалов с большим удельным весом. Приведенная математическая модель и результаты моделирования могут быть использованы при расчетах винтовых транспортеров в наклонном, вертикальном или горизонтальном исполнении.
The article considers the calculations of hydraulic resistance during inclined screw transportation. As a result of mathematical modelling, it has been established that changes in the angle of inclination, diameter and length of the screw affect the hydraulic resistance of the raw material layer. It has been shown that increasing the diameter of the screw, without changing productivity, significantly reduces the hydraulic resistance of the layer. The high efficiency of this design solution was revealed when designing longer screws. The inclination angle of the auger conveyor has a significant impact on the hydraulic resistance as the auger length increases, especially at inclination angles greater than 10°. The results of modelling the dependence of screw transportation power on productivity are presented. A refined calculation of power was carried out taking into account the axial speed, the angle of inclination of the screw, the angular velocity of the auger, the angular velocity of the material, friction coefficients, and the angle of inclination of the helix. The discrepancy between the updated power values reaches 20%. This may indicate that taking into account additional parameters is necessary when designing screw feeders intended for transporting bulk materials with a high specific gravity. The presented mathematical model and simulation results can be used in the calculations of screw conveyors in inclined, vertical or horizontal versions.