bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using CRM and BLM models for operational analysis of well watering with peripheral water in a layered formation
Authors: Вольпин С.Г. , Афанаскин И.В. , Миронов Д.Т. , Королев А.В. , Кундин А.С. 
Published: September 2024

Рассматривается использование моделей Capacitance Resistive Model (CRM) и Buckley-Leverett Model (BLM) для оперативного анализа обводнения нефтяных скважин законтурной водой в слоистом пласте. CRM-модель позволяет учитывать распределение потоков жидкости между скважинами в реальном времени и рассчитывает взаимодействие добывающих скважин с законтурной водоносной областью. BLM-модель описывает процесс фронтального вытеснения нефти водой, прогнозируя положение фронта и распределение насыщенности в пласте. Предложен подход для оценки проводимости и порового объема обводнившихся пропластков по результатам анализа показателей обводнения скважины. Совместное использование этих моделей позволяет получать более точные и детализированные прогнозы, оптимизировать режимы работы скважин и повышать эффективность разработки нефтяных месторождений. В статье представлены математические модели, проведены расчеты и анализ полученных данных, что подтверждает возможность применения моделей CRM и BLM для совершенствования управления процессами обводнения.
The use of the Capacitance Resistive Model (CRM) and Buckley-Leverett Model (BLM) for operational analysis of the flooding of oil wells by aquifer water in a layered formation is considered. The CRM model allows you to take into account the distribution of fluid flows between wells in real time and calculates the interaction of production wells with the aquifer area. The BLM model describes the process of frontal displacement of oil by water, predicting the position of the front and the distribution of saturation in the reservoir. An approach is proposed for estimating the conductivity and pore volume of watered interlayers based on the results of an analysis of well watering indicators. The combined use of these models makes it possible to obtain more accurate and detailed forecasts, optimize well operating conditions and increase the efficiency of oil field development. The article presents mathematical models, calculations and analysis of the data obtained, which confirms the possibility of using CRM and BLM models to improve the management of watering processes.
EKSPERİMENTAL EPİLEPSİYA VƏ ONUN ƏMƏLƏGƏLMƏ DİNAMİKASININ ELEKTROFİZİOLOJİ TƏDQİQİ
Authors: Melikova Gunay , Miryusifova Khuraman 
Published: September 2024

Tədqiqat işi eksperimental epilepsiya fonunda beyin elektrik aktivliyinin tədqiqinə həsr edilib. Elektrofizioloji tədqiqatlar dovşanlar üzərində aparılmışdır. İntakt və eksperimental epilepsiya yaradılmış təcrübə heyvanlarda görmə analizatorunun strukturlarında elektrik aktivliyi qeydə alınmış və müqayisəli şəkildə təhlil edilmişdir. Elektrofizioloji tədqiqatlarda elektroensofaloqrafik metoddan istifadə edilmişdir. Eksperimental epilepsiya modeli amiqdalaya penisillin məhlulunun yeridilməsi ilə yaradılmışdır. Əldə edilən materialların analizində müəyyən edilmişdir ki, penisillin məhlulunun heyvanların amiqdalasına daxil edilməsi uzunmüddətli konvulsiv aktivliyin inkişafına səbəb olur. Eksperimental epilepsiyada konvulsiv fəaliyyət tutmaları tezliyində və müddətində müəyyən dinamikaya malikdir.
REMOÇÃO DE INSTRUMENTO FRATURADO NO CANAL MÉSIO VESTIBULAR DO PRIMEIRO MOLAR INFERIOR – RELATO DE CASO
Authors: Travassos Rosana Maria Coelho , Almeida Gustavo Moreira de , Silva Luciano Barreto da , Barroso Leonardo dos Santos , Nunes Adriana Marques , Veloso Heloisa Helena Pinho , Júnior Paulo Maurício Reis de Melo , Santos Pedro Guimarães Sampaio Trajano Dos , Chaves Adriane Tenório Dourado , Júnior Francisco Braga da Paz , Paz Eliana Santos Lyra da 
Published: September 2024

O objetivo deste relato de caso foi o de descrever a eficácia e a segurança do uso do ultrassom em conjunto com a técnica do laço com fio ortodôntico na remoção de instrumentos fraturados, e o completo reparo da radiotransparência óssea periapical. O exame radiográfico demonstrou, fratura de lima no terço médio do canal mésio vestibular, preparo e medicação à base de hidróxido de cálcio preenchendo todo o canal distal e lesão periapical sugerindo granuloma periapical. Com auxílio de ultrassom E3 Ultrasonic Scaler e incertos E5 e E18D - ISTMO (Helse Ultrasonic), foi realizado desgaste no canal ao redor da lima fraturada para que fosse possível ter acesso ampliado ao instrumental para posterior encaixe com o laço de fio ortodôntico. Após montado, levou-se o conjunto agulha-laço ao interior do canal para que envolvesse a ponta do instrumento fraturado e quando fosse tracionado removesse-o. Ao sentir a laçagem na lima, realizou-se a tração do fio ortodôntico em direção cervical em movimento único, ocasionando a remoção da lima. O preparo dos canais mésio vestibular e mésio lingual foi feito com a lima Reciproc Blue R#25, e no canal distal a lima Reciproc Blue R#40. A obturação do sistema de canais radiculares foi realizada pela técnica do cone único associado ao simento Bio C Sealer (Angelus). A proservação clínica e radiográfica foi realizada após um ano da obturação do s canais radiculares, demonstrando completo reparo da radiotransparência óssea periapical e ausência de sintomatologia dolorosa.
The Impact of Using Collaborative Learning Platforms on Increasing Student Creativity
Authors: Wardhani Rizky , Pulungan Dedi Zulkarnain , Irawan Dodi , Gilaa Thitus , Fawait Aldi Bastiatul 
Published: September 2024

One of the student-centred learning (SCL) methods is collaborative learning. In collaborative learning, students are required to actively participate in learning together or in groups. And collaborative learning is also based on the needs of students to improve the quality of learning. This research is conducted to find out how the use of collaborative learning platforms can help students become more creative in collaborative activities. By understanding the different types of collaborative learning platforms, teachers and parents are able to incorporate the role of technology in students' learning process. In conducting this research, researchers used quantitative methods in the implementation of the research. The data obtained by researchers was obtained through distributing questionnaires presented by researchers through a goggle from application. The distribution of this questionnaire was carried out by researchers online, which then the results of the acquisition of the distribution of this questionnaire will be processed using an SPSS application. From this research, the researcher can conclude that the impact of using a collaborative learning platform on increasing student creativity shows positive results. With the use of collaborative learning platform, it can visualise abstract and complex concepts, opening opportunities for students to develop their imagination and creativity through rich visual exposure. Based on the results of this study, it shows that collaborative learning platform can enhance students' creativity as it allows students to interact more actively and interactively during the learning process. In addition, rich visual exposure enables better understanding and enhances students' creativity and imagination.
The Impact of Adaptive Learning Technology on Improving Students’ Concept Understanding
Authors: Soelistianto Farida Arinie , Andrasmoro Dony , Yusriati Yusriati , Mardiati Mardiati , Fawait Aldi Bastiatul 
Published: September 2024

Adaptive learning technology is an educational method that uses artificial intelligence and computer algorithms. This learning system can manage students’ interaction pattern during learning activities. The use of adaptive learning technology is able to change students from just receiving information to an active and collaborative part in the learning process. This research was conducted with the aim of improving the quality of education in Indonesia by encouraging teachers to use this technology. This research also aims to provide a better understanding of the potential and weaknesses of adaptive learning technology in improving students’ concept understanding as well as providing stronger guidance for curriculum development and better educational practices. The method used in this research is quantitative method. This method is a way of collecting numerical data that can be tested. Data is collected through the distribution of questionnaires addressed to students. Furthermore, the data that has been collected from the distribution of the questionnaire, will be accessible in Excel format which can then be processed with SPSS. From the results of the study, it can be seen that the impact of using adaptive learning technology shows that adaptive learning technology can improve the quality of education. Research shows that with the use of adaptive learning technology, it can change teaching methods, learning materials, and can find out the level of learning difficulties faced by these students. From this study, researchers can conclude that the impact of using adaptive learning technology, can improve student understanding and achievement and has the potential to improve the quality of education. with the existence of adaptive learning technology, it is able to increase student involvement and motivation in learning, so that student understanding in learning can be achieved well.
Identificação das necessidades, do potencial e de estratégias para aumento da competitividade da lichia no Brasil
Authors: Patino Marco Tulio Ospina , Berti Lívia Nicioli , Pinto Ricardo Soares de Arruda , Simonato Eder 
Published: September 2024

A produção e comercialização de frutas exóticas têm atraído a atenção dos mercados de exportação com potencial para crescimento em volume e valor. No entanto, a lichia (Litchi chinensis) tem enfrentado dificuldades em sua inserção devido a problemas relacionados a diminuição da produção e da comercialização, o nível de preço e a frequência no abastecimento. Diante deste cenário, o objetivo deste trabalho foi analisar os problemas que afetam a produção e comercialização da lichia no Brasil e propor estratégias para o aumento da competitividade. Foi realizada uma descrição da produção e comercialização da lichia para identificar os atributos presentes nas oportunidades e ameaças, os pontos fortes e fracos (análise SWOT). A partir dessa análise foram definidas quatro estratégias para aumento da competitividade da lichia no Brasil: a) incentivar aumentos na área plantada com lichia; b) promover práticas para aumento da produção, controle de pragas e doenças; c) propor formas de comercialização e industrialização associativas entre os produtores e d) estabelecer mecanismos para atender às demandas dos mercados interno e externo, cada vez mais exigentes.
Teachers’ Motivation in Enhancing Sustainable Management of School Projects: Case of Secondary Schools in Sumbawanga Municipality, Tanzania
Authors: Haule Jordan Nicholaus , Mkude Daniel, J. , Wandela Eugenia 
Published: September 2024

The study on Teachers’ Motivation in Enhancing Sustainable Management of School Projects: Case of Secondary Schools in Sumbawanga Mincipality, Tanzania. The study aimed at examining the ways of teacher’s motivation on the sustainable management of the school projects in secondary schools. Specifically the study was conducted around by two specific objectives which were; firstly was to identify kinds of school projects implemented from 2017 up 2023 in Sumbawanga public secondary schools, and second was to propose ways of motivating teachers to enhance sustainability of school project management. The study based on ground of both research approaches which were qualitative and quantitative approaches. Hierarchy of Needs Theory by Abraham Maslow in 1954 was used to guide the study. The study took place in Rukwa region in Sumbawanga Municipal council. Twelve (12) public secondary schools were involved in the study. The sample size of the study was 234 whereby 12 of the respondents were heads of the school and 222 were ordinary teachers. Data from the respondents were collected using questionnaire, interview and observation. The obtained data were analyzed basing on both quantitative and qualitative information. Quantitative data were analyzed by percentage distribution and presented using table while qualitative data were analyzed by developing categories and subcategories. The findings of the study identified two major aspects that answer the purpose of the study firstly the finding revealed several implemented school projects for the period from 2017-2023 in Sumbawanga municipality; secondly, the findings indicate ways of teachers motivation that are needed to motivate teachers in order teachers to dedicate their effort in managing sustainably the school projects. Basing on the study findings, the study recommended that schools and government should motivate teachers not financially only but, recognition, team working and appreciation can also be used to motivate teachers, so that teachers can manage well the school projects for benefit of the current and future students.
Assessment of Genetic Diversity for Yield Component Traits and Grain Yield of Blackgram [Vigna mungo (L.) Hepper]
Authors: Yadav Mahesh , Kumari Juhee , Gantait Aishmita , Kumar Vivek , Maxton Ann 
Published: September 2024

Due to its high nutritional content and ability to supply a diet rich in protein, pulses hold a special place in Indian agriculture. In contrast to the world's production of cereals, pulses are grown seldom in low-fertile soils under conditions of moisture stress, which eventually hides their actual yield capability due to inadequate management approaches. The current study's objective is to estimate the genetic parameters of 13 yield attributing traits in 20 genotypes of urd bean to choose more yield-contributed characters in urd bean. Number of pods per plant revealed high estimates of PCV, GCV and heritability. In the Metroglyph study, superimposition of genotypes was seen because to the near closeness of two variables used to display the genotypes. In this classification analysis made based on number of pods per plant and harvest index for all the 20 genotypes of urd bean form four complexes. Out of 20 genotypes, 4 genotypes like IC-331226, IC-261173, IC-385718, and IC-426495 were recorded highest index score and fell into different complex, hence used as parents for getting good combinations for future hybridization programmes.
Spectral albedo and transmittance of thin young Arctic sea ice
Authors: Taskjelle Torbjørn , Hudson Stephen R. , Granskog Mats A. , Nicolaus Marcel , Lei Ruibo , Gerland Sebastian , Stamnes Jakob J. , Hamre Børge 
Published: December 2015

AbstractSpectral albedo and transmittance in the range
were measured on three separate dates on less than
thick new Arctic sea ice growing on Kongsfjorden, Svalbard at
,
. Inherent optical properties, including absorption coefficients of particulate and dissolved material, were obtained from ice samples and fed into a radiative transfer model, which was used to analyze spectral albedo and transmittance and to study the influence of clouds and snow on these. Integrated albedo and transmittance for photosynthetically active radiation (
) were in the range 0.17–0.21 and 0.77–0.86, respectively. The average albedo and transmittance of the total solar radiation energy were 0.16 and 0.51, respectively. Values inferred from the model indicate that the ice contained possibly up to 40% brine and only 0.6% bubbles. Angular redistribution of solar radiation by clouds and snow was found to influence both the wavelength‐integrated value and the spectral shape of albedo and transmittance. In particular, local peaks and depressions in the spectral albedo and spectral transmittance were found for wavelengths within atmospheric absorption bands. Simulated and measured transmittance spectra were within 5% for most of the wavelength range, but deviated up to 25% in the vicinity of
, indicating the need for more optical laboratory measurements of pure ice, or improved modeling of brine optical properties in this near‐infrared wavelength region.
Seasonal cycles of O3 in the marine boundary layer: Observation and model simulation comparisons
Authors: Parrish D. D. , Galbally I. E. , Lamarque J.‐F. , Naik V. , Horowitz L. , Shindell D. T. , Oltmans S. J. , Derwent R. , Tanimoto H. , Labuschagne C. , Cupeiro M. 
Published: December 2015

AbstractWe present a two‐step approach for quantitatively comparing modeled and measured seasonal cycles of O3: (1) fitting sine functions to monthly averaged measurements and model results (i.e., deriving a Fourier series expansion of these results) and (2) comparing the phase and amplitude of the statistically significant terms between the models and measurements. Two and only two sine terms are sufficient to quantify the O3 seasonal cycle in the marine boundary layer (MBL) in both the measurements and the model results. In addition to the expected fundamental (one sine cycle per year), a second harmonic term (i.e., two sine cycles per year) is identified as a ubiquitous feature of O3 in the MBL. Three chemistry climate models (Community Atmosphere Model with chemistry, GFDL‐CM3, and GISS‐E2‐R) approximately reproduce many features of the measured seasonal cycles at MBL surface sites throughout the globe, with some notable quantitative disagreements, but give divergent results that do not agree with O3 sonde measurements above the MBL. This disagreement and divergence of results between models indicate that the treatment of the MBL dynamics in the chemistry‐climate models is not adequate to reproduce the isolation of the MBL indicated by the observations. Within the MBL the models more accurately reproduce the second harmonic term than the fundamental term. We attribute the second harmonic term to the second harmonic of opposite phase in the photolysis rate of O3, while the fundamental term evidently has many influences. The parameters derived from the Fourier series expansion of the measurements are quantitative metrics that can serve as the basis for future model‐measurement comparisons.
Causality
Authors: Evandt Øystein , Aalen Odd O. 
Published: December 2015

AbstractThe concept of causality has been essential to the development of science. Aspects of how to establish causal relationships are discussed, including causality and statistics, empirical versus mechanistic causal models, agreement of causal relationships within acceptable margins, and Karl Poppers concept of falsifiability. A few concepts and tools related to causality in quality and reliability are briefly mentioned. Newer developments in causality and statistics are discussed, including counterfactual causality and graphical models based on Bayesian networks. References to important literature on these developments are given, in addition to references to more established knowledge.
Confounder Summary Score
Authors: Greenland Sander 
Published: December 2015

Abstract

Consider an observational study of the effect of a “treatment” variable
X
on an outcome variable
Y
in which multiple confounders must be controlled. Simultaneous stratification on all observed confounder combinations may lead to many uninformative strata (i.e., strata in which there is either no variation in the treatment or no variation in the outcome). The usual method of coping with this problem is to estimate treatment effects from coefficients in a regression model for the dependence of the outcome on the treatment and confounders. Confounder summary scores are alternatives that use fitted models to define strata.
Admixture Mapping
Authors: Basu Analabha 
Published: December 2015

Abstract
Admixture between populations leads to linkage disequilibrium between loci if the allele frequencies are different between populations. One can test whether the linkage disequilibrium is due to linkage or admixture. One can condition the analysis on parental genotype or parental admixture. In the former case, what is scored is whether a haplotype in a parent is transmitted or not to an affected offspring.
Sensitivity Analysis of Computer Models
Authors: Fassò Alessandro 
Published: December 2015

Abstract
Sensitivity analysis (SA) of computer models has been developed over the last decades paralleling the development of massive computer simulations of engineering, chemical, and environmental systems.
Through extensive simulations, global SA is aimed at assessing the importance of each input to the model outputs by means of variance decomposition.
Depending on model complexity and simulation costs, various techniques are available ranging from design of experiments (DOE) to intensive Monte Carlo, metamodeling, and inference.
Dose–Response Modeling of Clustered Data
Authors: Chen James J. , George Ebenezer Olusegun 
Published: December 2015

AbstractDose–response modeling is a mathematical/statistical procedure for examining the relationship between the dose level of an exposure to an agent and the probability of an effect (adverse or beneficial) of the exposure on a biological entity. Clustered data refer to a set of correlated responses. Clustered data occur from study designs, such as repeated observations on the same subject or sampling from correlated subsamples. Approaches to dose–response modeling of clustered data may be categorized into parametric, semi‐parametric, nonparametric, Bayesian, and non‐Bayesian, all of which are likelihood‐based quasi‐likelihood procedures and the nonlikelihood‐based generalized estimating equations approach.
Tessellations
Authors: Schoenberg Frederic Paik 
Published: December 2015

Abstract

A
tessellation
is a partition of a space into subregions. Usually these subregions are required to be convex and polygonal, and tessellations of the plane () are more frequently discussed. In addition to the classical Voronoi and Delaunay tessellations, other tessellations are reviewed here, including Johnson–Mehl tessellations, hyperplane tessellations, dead leaves tessellations, Boolean models, and generalized Voronoi tessellations such as weighted Voronoi tessellations and order‐k Voronoi tessellations.
Normal Reference Rule
Authors: Scott David W. , Kosar Robert 
Published: December 2015

AbstractMany statistical procedures contain meta‐parameters or design parameters that must be specified in order to run. Cross‐validation, simulation, or other advanced algorithms often are invoked to choose those parameters with real data. However, for a preliminary or informal look at data, rules of thumb are often employed in order to start an analysis with the least effort. The most important of these preliminary approaches is thenormal reference rule, which imagines the data are in fact normally distributed and computes the design parameter under that assumption. In this note, we examine the justification for such an assumption and give examples that are in common use.