bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Kualitas Produk dan Persepsi Harga Terhadap Keputusan Pembelian Pada Es Krim Wall’s di Sidoarjo Kota
Authors: Pramana Boggy Nugraha , Soebiantoro Ugy
Published: January 2023

The research entitled The Effect of Product Quality and Price Perception on Purchase Decisions at Wall's Ice Cream in Sidoarjo City was conducted with the aim of knowing the effect of Product Quality (X1) and Price Perception (X2) on Purchase Decisions (Y) Wall's Ice Cream in Sidoarjo City. The population in this study are consumers who buy Wall's ice cream in Sidoarjo and use a sample that are consumers who have bought Wall's ice cream products in stalls, minimarkets, supermarkets, and hypermarkets located in Sidoarjo city (within 2 months since the questionnaire was distributed) with 126 respondents. person. This study uses a quantitative approach with the analytical technique used in this study is partial least square (PLS) and sampling using purposive sampling technique and using primary data through questionnaires. The test results obtained in this study are product quality has an influence on purchasing decisions and price perceptions also have an influence on purchasing decisions so that both variables are stated to be true that have an influence on purchasing decisions.

Keywords: Buying Decision ; Price Perception ; Product Quality
Understanding International Economic Institutions and China through Uneven and Combined Development
Authors: SÖYLER Mert
Published: January 2023

For many decades, we are witnessing the economic rise of China and the increasing integration of China into existing international economic institutions. However, this paper argues that prevalent international relations theories are insufficient to explain this conjuncture of international political economy. Instead, this paper proposes the theory of uneven and combined development (UCD) to further integrate the international dimension of historical unevenness that is resulting from the historical conditions of global capitalism. The argument of this paper proceeds in two steps: First, the liberal, realist and orthodox Marxist theories’ analytical assumptions are discussed to understand the rise of China and its integration into international economic institutions, mainly the World Trade Organization. Second, the UCD theory is applied to reveal historical unevenness and intersocietal interactions through global capitalism. It is argued that the historical unevenness both determined the integration of China into international economic institutions and has caused instability within global capitalism through the trade war between US and China.
Determinación de origen botánico y geográfico mediante estudios polínicos de mieles colectadas por Apis mellifera Linneo
en el Departamento del Cauca, Colombia
Authors: Muñoz Galíndez Efrén
Published: January 2023

Introducción: Para la comercialización y mercadeo es importante determinar el origen botánico y geográfico mediante estudios polínico de mieles colectados por Apis mellifera (A. mellifera). Objetivo: efectuar un análisis polínico en muestras de mieles del departamento del Cauca, Colombia colectada por A. mellifera. Materiales y métodos. Las muestras de mieles fueron tomas en 11 apiarios durante 12 meses (2014-2015) en los municipios de Timbio, Totoró y Piendamó, se tomaron ejemplares de herbario de las plantas melíferas a 2Km a la redonda de los apiarios. Resultados. Se identificaron 110 tipos polínicos inmersos en las mieles, de los cuales la guayaba (Psidium guajava - Mirtaceae) con un 64% fue el tipo más frecuente para el municipio de Totoró, limpia dientes (Gouania polígama - Ramnaceae) con un 18,2% y 46% en Piendamó y Timbio, respectivamente. El resto de tipos polínicos se encuentran en menores proporciones. Conclusiones. Los análisis polínicos demuestran que las mieles colectadas durante la investigación se clasifican como poliflorales por la alta variedad de plantas cultivadas y silvestres que conservan y cultivan los apicultores del Cauca.
The Method of Teaching English Using Music
Authors: Omolara Ifeoma
Published: January 2023

The theory behind music-based English instruction is that it may help students retain new vocabulary words and grammar structures more easily. New words, grammar, and pronunciation may all be taught and reinforced using musical means. Music may also be used to create a lively and engaging classroom setting. Using music in the English classroom has several benefits. The fact that it may be a fun and inspiring approach to learn the language is a major perk. A person's ability to listen and express themselves verbally may be honed via musical practice.
Анализ состояния и перспектив развития российской газовой отрасли до и после 2022 г.
Authors:   Институт народнохозяйственного прогнозирования РАН, Семикашев В.В. , Гайворонская М.С. ,   Институт народнохозяйственного прогнозирования РАН
Published: January 2023

После февраля 2022 г. сформировались новые условия функционирования газовой отрасли России. Необходимо рассмотреть и проанализировать эти условия, подготовить варианты ответа на текущие вызовы. Предлагаются направления и меры экономической политики по дальнейшему развитию российской газовой отрасли c учетом ее потенциала и имеющихся ресурсов.
Реализация производственного потенциала российской металлургии в среднесрочной перспективе
Authors:   Институт народнохозяйственного прогнозирования РАН, Устинов В.С. , Буданов И.А. ,   Институт народнохозяйственного прогнозирования РАН
Published: January 2023

Дана характеристика производственного потенциала российской металлургии. Обоснованы недостатки экспортной ориентации отечественной металлургии в новых экономических условиях. Показаны перспективы развития внутреннего рынка металлопродукции. Обоснована необходимость переориентации части экспортных поставок металла на внутренний рынок. Выделены факторы, способствующие повышению степени использования производственного потенциала российской металлургии.
Оперативный мониторинг состояния экономики Москвы: особенности используемых статистических данных
Authors: Никитин К.М. , Широв А.А. , Чаплина Ю.Ю. , Потапенко В.В. ,   Институт народнохозяйственного прогнозирования РАН
Published: January 2023

В статье анализируется опыт информационного обеспечения системы краткосрочного мониторинга экономики города Москвы. Рассматриваются различные аспекты разработки прогнозно-аналитического инструментария с использованием как традиционных данных официальной статистики, так и новых, появившихся в результате развития информационных технологий, источников. Анализируются методологические проблемы, возникающие при использовании новых источников данных.
Миграция в регионах российской Арктики в 2010-е гг.: горизонтальные и вертикальные связи
Authors:   Институт народнохозяйственного прогнозирования РАН, Мкртчян Н.В. , Гильманов Р.И.
Published: January 2023

В статье изучаются миграционные связи территорий российской Арктики с другими частями страны в 2011-2020 гг., в том числе с учетом групп населенных пунктов, дифференцированных по размерам. Арктические территории в очень большой степени связаны с территориями Европейской России, прежде всего – регионами так называемой «Средней полосы». Это касается даже миграции из регионов азиатской части Арктики. Межрегиональные миграционные связи внутри арктической зоны слабы, если они есть, то связаны с движением в немногочисленные крупные города. Миграция в Арктику и из Арктики, как и в целом по стране, ведет к переезду в населенные пункты с большим числом жителей, т.е. является одним из каналов движения вверх по поселенческой иерархии.
Влияние прямого и косвенного налогообложения на уровень доходов населения
Authors:   Институт народнохозяйственного прогнозирования РАН, Ордынская Е.В. , Черковец М.В. ,   Институт народнохозяйственного прогнозирования РАН, Моисеев А.К. ,   Институт народнохозяйственного прогнозирования РАН
Published: January 2023

В статье рассматриваются проблемы неравенства доходов населения в России, а также особенности существующей системы их перераспределения. Проанализированы различия в уровне налоговой нагрузки в целом и по отдельным видам налогов различных доходных групп населения, также рассмотрены вопросы определения уровня налоговой нагрузки по отдельным налогам. Предложены подходы к более эффективному перераспределению доходов населения на основе изменений в налоговой системе, включая прямое и косвенное налогообложение.
Финансовый сектор экономики: динамика и факторы развития
Authors:   Институт народнохозяйственного прогнозирования РАН, Афанасьев М.П. , Шаш Н.Н.
Published: January 2023

Предметом рассмотрения в статье является раскрытие возможностей влияния государственного регулирования на развитие финансового сектора экономики. Доказывается, что в последнее десятилетие доля финансового сектора в экономиках развитых стран показывает стабильный рост. На примере финансового сектора Китая на основе использования регрессионного анализа подтверждена гипотеза о наличии влияния сформированности институциональной среды на уровень развития ключевых сегментов финансового сектора. Продемонстрировано, на какие факторы институциональной среды финансовой системы (характеризуемые соответственными качественными и количественными индикаторами) следует оказывать управляющее воздействие государства для повышения финансовой глубины, отражающей уровень развития финансового сектора. Выявлено, что совершенствование инструментария государственного регулирования позволит сократить трансакционные издержки, понизить уровень финансовых рисков и повысить доверие экономических субъектов к финансовым рынкам.
Управление человеческими ресурсами: от школы научного управления к прикладным технологиям
Authors:   Институт народнохозяйственного прогнозирования РАН, Иванова Е.И. , Поляков В.А. ,   Институт народнохозяйственного прогнозирования РАН
Published: January 2023

В статье исследуются актуальные социальные школы управления человеческими ресурсами. Функционирование организаций в условиях высокой неопределенности внешней среды усиливает требования к творческому и поисковому характеру деятельности управленца. В статье исследуются актуальные проблемы управления человеческими ресурсами (ЧР) в современной организации. Специфика социального времени, преобладание поколения Y на рынке труда с присущими ему ценностями определяют основной вектор изменения характера трудовой деятельности. Ценность постоянной работы c социальными гарантиями, стабильностью уступает работе по контракту, для реализации временных проектов на основе фиксированных договоров. Процесс управления ЧР выстраивается таким образом, чтобы обеспечить выполнение разнообразных задач и проектов. Он непрерывен, состоит из различных этапов. При формировании трудового коллектива востребован человекоцентричный подход к управлению ЧР, предполагающий применение гибких социальных технологий. Среди таких технологий авторы выделяют модель «обзор качества работы 360».
Инклюзивность и устойчивость экономического роста: сравнительная оценка стран ЕАЭС
Authors:   Институт народнохозяйственного прогнозирования РАН, Михеева Н.Н.
Published: January 2023

Рассмотрены особенности оценки инклюзивности экономического роста как одной из целей устойчивого развития в рамках «Повестки дня в области устойчивого развития на период до 2030 года». Дан сравнительный анализ подходов к определению и количественной оценке инклюзивности экономического роста на примере Евразийского экономического союза. Представлены результаты анализа показателей инклюзивности и расчетов композитного индекса инклюзивности государствчленов Союза за 2015, 2019 и 2020 гг., оценена динамика показателей инклюзивности. Показано, что экономический рост ни в одной из стран ЕАЭС в рассмотренный период не является инклюзивным. Анализ структуры композитного индекса инклюзивности позволил выявить для каждой из стран направления развития, оказывающие наиболее существенное влияние на динамику инклюзивности.
ANÁLISIS DEL DERECHO DE ALIMENTOS DE HIJOS MAYORES DE EDAD EN LA LEGISLACIÓN DE ECUADOR Y SU GARANTIA EN EL DERECHO COMPARADO DE COLOMBIA Y PERÚ
Authors: Cabrera Santiago Vladimir , Maldonado Ordoñez Jorge Alberto
Published: January 2023

En el presente estudio se analizará que en el sistema procesal de la legislación de Colombia y Perú, se garantiza el derecho de percibir alimentos a los hijos que han cumplido más de los 21 años de edad, esta garantía que deviene de la relación parento filial y reciprocidad no se garantiza en la legislación de Ecuador, pues el hijo mayor de edad que esta cursando estudios y al momento de cumplir los 21 años se le extingue este derecho causándole un detrimento irreparable al alimentario, ya que se la trunca su plan de vida al no contar con esta pension alimenticia que le permita cubrir sus gastos y pueda culminar sus estudios. Dicha garantía de la pension alimenticia en la legislación de Colombia rige hasta los 25 años, mientras que, en la legislación de Perú hasta los 28 años. Por ello para comprobar dicha vulneración del derecho a alimentos de hijos mayores de edad se analizará jurisprudencia de las tres legislaciones a fin de determinar que se debe ampliar la edad para el cobro de pensiones alimenticias por parte de los alimentarios y puedan culminar sus estudios.
Gastrinoma primario de ganglio linfático
Authors: Marcos Enriquez Juan Carlos , Coayla Castillo Freddy , Molina Caceres Raquel , Cassana Alessandra , Ramos Castillo Wilder , Rodriguez Alegria Cesar
Published: January 2023

Los gastrinomas son tumores neuroendocrinos localizados generalmente en duodeno y páncreas, en el contexto de una neoplasia endocrina múltiple y configurando un síndrome de Zollinger-Ellison. La localización de este tipo de tumor en ganglios linfáticos es extremadamente inusual y su diagnóstico precoz constituye un verdadero reto para poder instaurar un tratamiento adecuado y manejar las complicaciones que estos conllevan. Se presenta el caso de un paciente varón de 64 años con un gastrinoma de ganglio linfático y cuya extirpación quirúrgica resultó en la remisión inmediata del cuadro clínico del paciente.
Insuficiencia exocrina pancreática posterior a un cuadro de pancreatitis aguda
Authors: Nombera Aznarán Natalia Roxana , Guevara Lazo David Rafael , Llontop Silva Victor Manuel
Published: January 2023

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Pancreatitis aguda por virus de la hepatitis B. Reporte de un caso
Authors: Duarte Calderón Camilo Andrés , Rodríguez-Gutiérrez Andrés Fernando
Published: January 2023

La pancreatitis aguda es una condición inflamatoria que está relacionada con diversas etiologías. Sin embargo, una infrecuente es la infección aguda por virus hepatotropos. Se presenta el caso de un hombre de 33 años quien consultó al servicio de urgencias por dolor abdominal e ictericia generalizada. Los estudios serológicos reportaron infección aguda por Virus de la Hepatitis B; el paciente fue manejado con vigilancia clínica y paraclínica de pruebas de función hepática junto con terapia de soporte con dextrosa. El paciente persistió con dolor abdominal y colestasis en aumento por lo que se consideraron diferenciales. La imagen por resonancia magnética de hemiabdomen superior demostró pancreatitis aguda no biliar que se concluyó secundaria al proceso infeccioso por hepatitis B al descartar otras causas. El paciente no requirió cambios en el manejo con mejoría en pruebas de función hepática por lo que se dio egreso hospitalario con evolución favorable en el seguimiento ambulatorio. La pancreatitis aguda secundaria al Virus de la Hepatitis B es una patología que se debe sospechar y estudiar cuando el cuadro clínico del paciente no demuestra mejoría; el diagnóstico se fundamenta en la medición de los niveles de las enzimas pancreáticas.
Disposición regular de vénulas colectoras (RAC) como predictor de ausencia de infección por Helicobacter pylori con endoscopios convencionales en población latina, rendimiento diagnóstico por subgrupos
Authors: Niño Ramírez Sebastián , Navarro Pablo Gabriel , Guzman Sara , Jaramillo Estefania , Velez Lara Francisco
Published: January 2023

Introducción: La disposición regular de vénulas colectoras tiene alto valor para predecir la ausencia de infección gástrica por Helicobacter pylori, los estudios que validaron este hallazgo se realizaron con imágenes de magnificación y cromoendoscopia digital, es común realizar endoscopias con equipos convencionales de luz blanca sin magnificación. Objetivo: Este estudio pretende validar este hallazgo como predictor de ausencia de infección por H. pylori utilizando equipos de endoscopia con luz blanca convencional sin magnificación. Materiales y métodos: Se realizó un estudio observacional identificando la presencia de RAC con endoscopio convencional, la determinación de Helicobacter pylori se estableció por histopatología. Se calculó sensibilidad, especificidad, valor predictivo positivo (VPP) y valores predictivos negativos (VPN) en relación con la presencia de RAC y el estado de infección por H. pylori. Resultados: 241 pacientes fueron incluidos encontrando una sensibilidad de 5%, con especificidad de 89%. La prevalencia de H. pylori disminuyo con la edad. Conclusión: Este estudio reporta una baja sensibilidad con elevada especificidad de la distribución regular de vénulas colectoras para establecer el estado de infección por H. pylori. El desempeño diagnóstico fue inferior al reportado en estudios llevados a cabo con cromo endoscopia con magnificación.
IOT-Based Monitoring and Control System for Greenhouses
Authors: Khandebhrad R. N.  , Waydande Lakhan  , Kamble Pravin  , Kshirsagar Prashant  , Kolage Abhijit
Published: January 2023

Plants are grown in greenhouses, which are controlled conditions. Because current greenhouse plants are self-restrictive, they cannot be regulated automatically; rather, they must be manually operated using a number of methods. The suggested system needs to be regularly checked and maintained, including temperature, wetness, soil humidity, light intensity, etc., to produce the best growth possible for plants. This study presents an Internet of Things- based management system for child care facilities (IOT). The system may keep an eye on such obvious parameters as temperature, humidity, soil saturation, proximity to a fire, light intensity, etc. Through the Node MCU esp8266, all environment parameter data is supplied to the nub. If a parameter exceeds the set limit, the connected actuator for that parameter is activated. If the Earth parameter is out of range, the microcontroller turns on the motor. On a PC and a mobile device, the user can display and monitor parameters.
Tumor miofibroblástico inflamatorio. Caso clínico de comportamiento agresivo
Authors: Ayerra-Pérez Héctor , Herrera-Aranda Natalia , Iglesias-Martínez Erika , Extramiana-Cameno Javier
Published: January 2023

Caso clínico: Presentamos el caso extraordinario de un varón diagnosticado de tumor miofibroblástico inflamatorio (TMI) con un debut agresivo en forma de choque hemorrágico secundario a hematuria. Fue sometido a una cistectomía parcial con el objetivo de alcanzar exéresis completa de la lesión y confirmar el diagnóstico definitivo. Tras la resección completa, se encuentra libre de enfermedad.
Relevancia: Este caso presenta un carácter extraordinario por la agresividad de la presentación clínica y la potencial letalidad de la clínica acompañante. El completo estudio anatomopatológico permite confirmar el diagnóstico de TMI y mostrar la correlación clínico-patológica de esta infrecuente entidad.
Implicaciones clínicas: Los TMI son una entidad infrecuente pero potencialmente letal, que puede curarse mediante la resección completa de la lesión. La sospecha clínica y el estudio radiológico permiten orientar la sospecha diagnóstica inicial, que deben ser confirmados tras la exéresis completa y el estudio anatomopatológico.
Conclusiones: El diagnóstico precoz aumenta la probabilidad de realizar la exéresis completa de la lesión, siendo este el factor pronóstico más determinante. En caso de tumores irresecables, determinados pacientes pueden beneficiarse del tratamiento sistémico con inhibidores de ALK (quinasa del linfoma anaplásico).
Fístula uretero-ilíaca: una inusual causa de hematuria pero potencialmente letal
Authors: Carrión-López Pedro , Legido-Gómez Óscar , Pedrosa-Jiménez María José , López-Martínez Lorena , Rico-Marco Saúl , Lorenzo-Sánchez Marta Victoria , Navarro-Jiménez Sonsoles , Giménez-Bachs José Miguel , Salinas-Sánchez Antonio S.
Published: January 2023

Descripción de casos clínicos: Se presentan tres pacientes con urostomía y catéter doble J permanente que presentaron hematuria franca, aguda y anemizante. Los tres habían recibido radioterapia por patología oncológica pélvica con realización posterior de cistectomía y urostomía por cistopatía rádica severa. En ningún paciente el TAC realizado por estudio de hematuria fue diagnóstico, precisando realizar una arteriografía urgente y evidenciando la presencia de una fístula uretero-ilíaca (FUI) a nivel de la arteria ilíaca común izquierda, ilíaca común derecha e ilíaca externa derecha, respectivamente. Tras la colocación de una prótesis ilíaca endovascular cubierta se consiguió la resolución instantánea del cuadro clínico.
Relevancia: La FUI es una condición excepcional que requiere para su diagnóstico la experiencia del urólogo y el radiólogo vascular. Esta situación puede ser potencialmente letal al presentar un cuadro de hematuria franca aguda y anemizante.
Implicaciones clínicas: Ante la sospecha de una FUI se debe realizar la manipulación del catéter ureteral en una sala de hemodinamia, donde el control arterial inmediato con técnicas vasculares percutáneas está fácilmente disponible. La realización de una arteriografía debe ser inmediata, obviando la realización de un TAC por su baja sensibilidad.
Conclusión: El tratamiento endovascular con prótesis cubierta es un tratamiento seguro y efectivo para las FUI.
Behavior of MV140 vaccine to prevent recurrent urinary tract infections in patients with metabolic syndrome and smoking
Authors: Ramírez-Sevilla Cristóbal , Gómez-Lanza Esther , Puyol-Pallàs Josep-Miquel
Published: January 2023

Introduction: This study analyzed patients with metabolic syndrome and smokers treated with MV140 vaccine to prevent recurrent UTI.
 
Material and methods: 342 patients with recurrent UTI received MV140 vaccine between 2017 and 2020 in Barcelona, Spain. Variables analyzed: number of UTI at 3 and 6 months after MV140, age, gender, diabetes mellitus, body mass index, hypertension, total cholesterol, HDL-cholesterol, triglycerides and smoking. Patients were divided in Group 1: metabolic syndrome (2 or more variables), Group 2: no metabolic syndrome (less than 2 variables). On the other hand, patients were classified into smokers and non-smokers.
Results: Mean age was 74, 82% were women. At the beginning, 88,9% had 3-5 UTI. Overall effectiveness with MV140 was 72.5% at 3 months and 56.2% at 6 months.
Group 1 (36%) presented 0-1 UTI in 78.9% and 62.6% at 3 and 6 months. In Group 2 (64%) the results were 69% and 52.5%. Comparing both groups, no statistically significant differences were observed (p=0,25, p=0,26). Smokers had 77.4% and 61.3% at 3 and 6 months, and non-smokers had 69.3% and 52.7%. There were also no statistically significant differences (p = 0.5, p = 0.36).
Group 1 and smoking (28,7%) had 82% at 3 months and 66.3% at 6 months. Group 2 and no smoking (71,3%) reached 60.3% and 52% at 3 and 6 months. There were no statistically significant differences between both groups.
 
Conclusions: The overall efficacy of MV140 was high and safe, without side effects.
Patients with metabolic syndrome and smokers may benefit from this treatment.
EARNING MANAGEMENT, FIRM SIZE AND INSTITUTIONAL OWNERSHIP: EVIDENCE FROM NIGERIAN MANUFACTURING FIRMS
Authors: MORDI Justin Ugo  , Dr. EBIAGHAN, Orits Frank
Published: January 2023

This paper is an empirical investigation of the role of firm size and institutional ownership on earnings management: Evidence from Nigerian quoted Firms for the period of 2000-2021. The quoted firms used in the study are thirty (30) in number out of which a sample of Twenty (22) were used for the study. Firm attributes as the independent variable was proxy with firm size, leverage, Institutional ownership, profitability, liquidity and firm growth), While the residuals from the modified Jones model by Dechow et ‘al (1995) was used to proxy earnings quality. The study adopts multiple panel regression techniques and data were collected from secondary source through the annual reports and accounts of the firms. The findings reveal that leverage, liquidity and firm growth has a significant positive impact on earnings quality while firm size, institutional ownership and profitability have a significant but negative influence on earnings quality of listed oil and gas companies in Nigeria. The study contribute to knowledge by including external firms attribute and cover all quoted firms in Nigerian stock exchange. It is recommended among others that specific sector and selected companies may be used for better result, also interest rate is need to be considerably low and there is need for firms to increase their liquidity asset and turnover as it has been found empirically to enhance the quality of the firms reported earnings.

Keywords: Earning, Management, Firm Size, Ownership.
EFFECTIVENESS OF FORENSIC ACCOUNTING IN CURBING FINANCIAL CRIMES IN THE NIGERIAN PUBLIC SECTOR
Authors: Fidelis U. Amahi, Ph.D
Published: January 2023

The effectiveness of forensic accounting in curbing financial crimes in the Nigerian public sector is in this research undertaking examined. The study made use of the fully modified ordinary least squares method (FMOLS) approach for data analyses of the EViews 13 statistical software. The FMOLS method produces reliable estimates for small sample size and provides a check for robustness of the results The data used for this study were sourced from the Central Bank of Nigeria (CBN) statistical bulletin, Federal Inland Revenue Service and National Bureau of Statistic for various years; the method adopted for collecting data is secondary source of data collection. It is concluded that there is a significant role of forensic accounting in tax revenue to ensure fraud is curbed and subsequently eliminated to affect the performance of our public sector as reflected in the economic development of the Nigerian nation. This study proposes recommendation for internal control system which public sector organization can implement in order to reduce likelihood of fraudulent activities and strengthen the more efficacies of these services for the survival of public sector organizations in Nigeria.

Keywords: Forensic Accounting, Tax Revenue, Economic Growth, Financial Crimes, Nigerian Public Sector.
COMPARISON OF UAV IMAGE SPATIAL RESOLUTION BASED ON THE SIEMENS STAR TARGET
Authors: Fakhri S. A. , Motayyeb S. , Saadatseresht M. , Zakeri H. , Mousavi V.
Published: January 2023

Abstract. In recent years, as the use of Unmanned Aerial Vehicle (UAV) imaging systems has increased, the photogrammetry community has conducted extensive research on the unique advantages of these systems. The UAVs are considered as one of the most important platforms for photogrammetry applications from various urban and non-urban areas at different scales. In UAV photogrammetry projects the spatial resolution of the images must be determined prior to the imaging stage. The spatial resolution of the images is a commonly-used criterion for detecting the smallest distance between two adjacent separable objects in the images. Numerous methods have been developed to precisely evaluate the spatial resolution of images. In this study, the Siemens star target, which is one of the most commonly used artificial targets for analysing spatial resolution was studied. The objective of this paper is to evaluate and compare the reduction of spatial resolution coefficient using the Siemens star target in images captured by UAVs. To this end, a method for automatically detecting the radius of the circle of ambiguity and calculating spatial resolution in UAV images has been developed. According to the findings of this study, the initial step in creating the Siemens star target, in terms of size and the number of acceptable arms, is dependent on the flying altitude of the UAV and the level of image blur. In addition, the reduction in spatial resolution of images captured by various UAVs varies, and its coefficient must be calculated for each project.
A SPECTRAL-SPATIAL AUGMENTED ACTIVE LEARNING METHOD FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Authors: Falahatnejad S. , Karami A.
Published: January 2023

Abstract. In this paper, a new classification technique for hyperspectral images (HSIs) based on an augmented active learning (AL) is introduced. The proposed method consists of two main steps: first, a 2-D non-subsampled shearlet transform (NSST) is applied to each spectral band of HSIs to extract the spatial features. After that, the kernel minimum noise fraction (KMNF) is used to reduce the spectral dimension. Second, the classification task using an augmented active learning technique is performed. For this purpose, an iterative process is considered. At each iteration, a discriminative sample selection and augmentation are used to create the training set. Then, the support vector machine (SVM) is iteratively applied to the training set. In the proposed method, the most informative samples are selected by a new query function combination of a posterior probability-based uncertainty and angle-based diversity criteria. The augmentation strategy during the training process is chosen by two-sample Kolmogorov-Smirnov test and the existing outliers are removed by k-means clustering. Finally, the proposed algorithm is applied to the real datasets and compared with three state-of-the-art AL algorithms. The obtained results show that the proposed method significantly increases accuracy considering the most informative samples.
BADI: A NOVEL BURNED AREA DETECTION INDEX FOR SENTINEL-2 IMAGERY USING GOOGLE EARTH ENGINE PLATFORM
Authors: Farhadi H. , Ebadi H. , Kiani A.
Published: January 2023

Abstract. Forest fires are natural events that occur in numerous ecosystems worldwide and cause significant damage to human, ecological and socio-economic factors. It is also crucial to obtain useful information on the distribution and density of burned areas on large scale. An efficient way to map large regions is through remote sensing (RS). Nevertheless, the complex scenario and similar spectral signature of features in multispectral bands can lead to many false positives, making it difficult to extract the burned areas accurately. Multispectral data from Sentinel-2 satellite images allow the development of novel burned area indices, as more spectral data is recorded in the Red-Edge region. This research aims to develop a new burned area detection index (BADI) at 20 m spatial resolution in the google earth engine platform to detect the wildfire-affected areas in southwest of Iran using Sentinel-2 satellite imagery. The BADI spectral index has been specially designed to take benefit of the Sentinel-2 spectral bands and use a spectral combination of bands that are reasonable for post-fire burned regions detection. The final results indicated that the proposed index by applying a post-processing stage works well in the case of the study area to identify the burned areas. At the same time, it can satisfactorily suppress the complicated and irrelevant changes in the scene. Furthermore, the BADI index is rapid and can provide the burned areas map in near real-time. According to the Copernicus Emergency Management Service (EMS) reference data, maps of the burned areas were produced with a kappa coefficient of 0.92 and an overall accuracy of 92.15%, which demonstrated a good result in comparison to similar spectral indices.
AUTOMATIC CORN AND SOYBEAN MAPPING BASED ON DEEP LEARNING METHODS (CASE STUDY: HAMILTON, HARDIN, BOONE, STORY, DALLAS, POLK, AND JUSPER COUNTIES IN LOWA STATE)
Authors: Fathi M. , Shah-Hosseini R.
Published: January 2023

Abstract. Corn and Soybean are important crops for the world’s people. Agricultural planning relies heavily on monitoring and mapping corn and soybean fields. With the development of remote sensing technology and deep learning algorithms, corn and soybean fields are being managed more intelligently nowadays. By using Landsat-8 images with multi-temporal maps of NDVI index, we intend to compare deep learning models such as 1-D CNN, 1-D CNN-LSTM, and 2-D U-net for separating corn and soybean fields from other crops (because soybean and corn fields have similar NDVI curves) in the United States in 2020. It was found that the 2-D U-net model performed the most accurately for corn and soybean classes with Kappa coefficients of 88.48 and 88.89, respectively. This can be explained by the identification of complex features using NDVI multi-temporal indexes of March to November in the United States.
EFFECT OF TRANSFERRING PRE-TRAINED WEIGHTS ON A SIAMESE CHANGE DETECTION NETWORK
Authors: Aghdami-Nia M. , Shah-Hosseini R. , Salmani M.
Published: January 2023

Abstract. Change Detection (CD) is one of the most crucial applications in remote sensing which identifies meaningful changes from bitemporal images taken from the same location. Enhancing the temporal efficiency and accuracy of this task is of great importance and one way to achieve this is through transfer learning. In this study, we investigate the influence of transferring pre-trained weights on the performance of a Siamese CD network using a benchmark dataset. For this purpose, an autoencoder with the same encoder architecture as in the Siamese model is trained on the whole dataset. Then, the encoder weights are transferred from the autoencoder and the Siamese model is trained in two modes. In the first mode, the transferred weights are frozen and only the decoder section of the Siamese models is trained while the second mode trains the whole model without freezing any part of the model. Moreover, the Siamese model is also trained without using the pre-trained weights to set the basis for comparisons. The results indicate that freezing the encoder results in a relatively lower performance but offers a considerable amount of temporal efficiency in the training phase. On the other hand, training the whole model after the weight transfer acquires the best result with an improvement of 12.43% in the Intersection over Union (IoU) metric.
HOW LANDSAT 9 IS SUPERIOR TO LANDSAT 8: COMPARATIVE ASSESSMENT OF LAND USE LAND COVER CLASSIFICATION AND LAND SURFACE TEMPERATURE
Authors: Ghasempour F. , Sekertekin A. , Kutoglu S. H.
Published: January 2023

Abstract. This study aims (i) to analyze the performance of Landsat 8 and 9’s multispectral bands in Land Use Land Cover (LULC) mapping by applying Random Forest (RF) method, and (ii) to compare the LST results of Landsat 8 and 9 using ground-based measurements obtained from Surface Radiation Budget Network (SURFRAD). RF-based classification and pixel-based LST information extraction were conducted in the Google Earth Engine (GEE) environment. Considering the LULC classification, Iğdır province of Türkiye was chosen as the study area, whereas for LST analysis, the location of two SURFRAD stations (FPK and GWN) was selected. Collection 2 Level 2 Surface Reflectance (SR) Products of Landsat 8 and Landsat 9, acquired on 14 May 2022 and 22 May 2022, respectively, were used for LULC mapping. On the other hand, the products of Collection 2 Level 2 Surface Temperature (ST) were utilized for LST analysis. The obtained LULC results showed that Kappa value and Overall Accuracy (OA) for Landsat 9 and Landsat 8 were 87.4 %, 0.83, and 82 %, 0.76, respectively, presenting Landsat 9 achieved better performance in this case study. Concerning the thermal analysis, Landsat 9-based LST provided 1.77 K RMSE, which was lower than Landsat 8-based LST (RMSE=2.31 K). Consequently, Landsat 9 provided better accuracies in both LULC classification and LST analysis, and this study proved that Landsat 9 has more improved OLI and TIRS sensors than Landsat 8.
A QUICK TECHNIQUE OF FLOOD DETECTION AND MAPPING BASED ON LAND COVER/LAND USE CHANGES (CASE STUDY: THE 2022 FLOOD EVENT OF TALEGHAN CITY OF IRAN)
Authors: Gheysouri M. , Khalighi Sigaroodi S. , Kalehhouei M. , Moghadamnia A. R.
Published: January 2023

Abstract. Flood as one of the most devastating natural disasters, causes significant tangible and intangible damages to watershed residents each year. When flood occurs, changes in land use (LU) and land cover (LC) relative to climate change and other edaphic factors have remarkable impacts on flood generation. Furthermore, application of complicated models with various inputs is costly and time-consuming. In this study, with the aim of determining the parameters affecting the recent floods in the Taleghan watershed, first, maps of the flooded areas and changes in LU and LC was extracted using' Sentinel 1 & 2 by coding the Google Earth Engine. In the extraction of LU, seasonal composites were used and the winter season was eliminated. Next, using the override command in the ARCGIS 10.8.1 software, the extracted maps were combined and evaluated. The results show that the use of urban and forest lands was limited to the lands next to the rivers and streams, which are the places where the floods pass, and this factor has increased exposure to flood. According to the composition of the maps in the Taleghan watershed, floods occurred in areas where there was no LC and the flooded areas we are located in the upper part of villages where natural LC was lost as a result of livestock grazing or human manipulation. It can be concluded that the use of simple models and basic maps can help experts identify flood zones.
FLOOD SUSCEPTIBILITY MAPPING AND ASSESSMENT USING REGULARIZED RANDOM FOREST AND NAÏVE BAYES ALGORITHMS
Authors: Habibi A. , Delavar M. R. , Sadeghian M. S. , Nazari B.
Published: January 2023

Abstract. Floods have caused significant socio-economic damage and are extremely dangerous for human lives as well as infrastructures. The aim of this study is to use machine learning models including regularized random forest (RRF) and Naïve Bayes (NB) algorithms to predict flood susceptibility areas using 410 sample points (205 flood points and 205 non-flood points). Ten flood influencing factors including elevation, topographic wetness index, rainfall, normalized difference vegetation index, curvature, land use, distance to river, slope, lithology, and aspect have been used in the modelling process. For this purpose, 70% of the data was used for training and the rest employed for testing the models. Accuracy (ACC), sensitivity, specificity, negative predictive value (NPV), and the area under the curve (AUC) of the receiver operating characteristic (ROC) were used to validate and compare the performance of the models. The results showed that the RRF model on the testing dataset had the highest performance (AUC = 0.94, ACC = 90%, Sensitivity = 0.89, Specificity = 0.92, NPV = 0.89) compared to that of the NB model (AUC = 0.93, ACC = 89%, Sensitivity = 0.84, Specificity = 0.96, NPV = 0.81). The employed models can be used as an efficient tool for flood susceptibility mapping with the purpose of planning to reduce the damages.
CONVOLUTIONAL SVM NETWORKS FOR DETECTION OF GANODERMA BONINENSE AT EARLY STAGE IN OIL PALM USING UAV AND MULTISPECTRAL PLEIADES IMAGES
Authors: Ahmadi P. , Mansor S. B. , Ahmadzadeh Araji H. , Lu B.
Published: January 2023

Abstract. Oil palm performs a considerable role in Malaysia’s economic system as Malaysia is the second-biggest palm oil manufacturer in the world. In oil palm plantations. Basal stem rot (BSR) is a disease caused by Ganoderma boninense that is responsible for a considerable annual losses, particularly in South East Asia. The disease remains an unresolved problem in most production areas due to lack of disease management strategy to detect the infected palms at their early stage. In recent years, advancement in remote sensing platforms and image processing methods have produced remarkable results for the detection of diseases at early stage. In this study, support vector machine (SVM) classifier was performed on UAV and Pleiades imagery to determine the ideal classification model for the early diagnosis of BSR disease in oil palms. The investigation's results showed that UAV provided the most accurate prediction, with a total accuracy of 68.28%, while 64.52% of the early Ganoderma infections could be identified with accuracy levels of 64.07% and 64.49%, respectively. The early Ganoderma infection could be recognized with an overall accuracy of 64.07% and 64.49%, respectively, while the Pleiades had an overall accuracy of 68.28% and 64.52%. Although the categorization accuracy appeared to be only modest at first glance, the quantity of detail offered by the imageries suggested that the accuracies were acceptable.
TREE CROWN DELINEATION ON UAV IMAGERY USING COMBINATION OF MACHINE LEARNING ALGORITHMS WITH MAJORITY VOTING
Authors: Hosingholizade A. , Erfanifard Y. , Alavipanah S. K. , Latifi H. , Jouybari-Moghaddam Y.
Published: January 2023

Abstract. Crown area is one of the key parameters in determining tree growth and an important basis for estimation of biophysical characteristics at single-tree levels in natural and man-made forests. Therefore, the present study was aimed to improve the estimation of crown area on unmanned aerial vehicle (UAV) data using a novel method in a Pinus eldarica man-made forest. The UAV-based RGB images with spatial resolution of 2 cm were acquired from the study area and then resampled to four pixel sizes of 10, 30, 50 and 70 cm. The resampled images were classified by three methods, i.e., Support vector machine (SVM), Random forest (RF), and Artificial neural network (ANN), which are all ensemble (bagging) classification methods. In the next step, the maps of three classification methods for each pixel size were combined by majority voting algorithm at pixel level. The results showed the robustness of ANN in all pixel sizes compared to RF and SVM. Additionally, the combination of the machine learning method by majority voting algorithms had significantly improved the accuracy of P. eldarica crown delineation and its area estimation on the UAV orthoimages with the investigated pixel sizes.
LOCATION OF FUEL STATIONS USING FUZZY MODEL IN GEOSPATIAL INFORMATION SYSTEM (CASE STUDY: 7TH DISTRICT, TEHRAN CITY)
Authors: Akbari D. , Saati M.
Published: January 2023

Abstract. In this study, by using the fuzzy method and geospatial information system (GIS), was attempted to locate the fuel station in the 7th district of Tehran. For this purpose, the information was digitized as a shape file by referring to the field and using the existing maps. The distance map was prepared using the Euclidean Distance function. Finally, using ArcGIS 10.8 software, this information was normalized by the fuzzy method and overlapped using the fuzzy gamma operator. It is presented as a map of prone areas for optimal positioning of fuel stations in the 7th district of Tehran. The most important criteria are the distance from the communication network, population density, incompatible users (commercial, industrial, administrative, residential, cultural and religious, health and medical), compatible users (park and green space, sports, fire department), and distance from fuel stations.
A CROSS-SENSOR-BASED APPROACH TO ESTIMATE DEPTH VALUES IN NEARSHORE COASTAL WATERS, CASE STUDY: NAYBAND BAY, PERSIAN GULF
Authors: Kabiri K. , Moradi M.
Published: January 2023

Abstract. A cross-sensor-based approach using Landsat-8 OLI (L8/OLI) and Sentinel-2A MSI (S2A/MSI) imagers was examined to estimate bathymetric data in nearshore coastal waters. An L8/OLI image and an S2A/MSI image (Acquisition date: November 16, 2017) were selected from Nayband Bay, the southern region of Iran. In addition, precise bathymetric data for the studied area were used to calibrate the models and validate the results. Ratio together with traditional linear transform methods and a novel cross-sensor-based method were conducted to determine the depth values from both satellite images. Four bands of L8/OLI imager (Band No.1: Coastal/Aerosol [0.435–0.451 µm], Band No. 2: blue [0.452–0.512 µm], Band No. 3: green [0.533–0.590 µm], and Band No. 4: red [0.636–0.673 µm], spatial resolution: 30 m) were considered to create the aforementioned models while the three bands of S2A/ MSI imager were used (Band No. 2: blue [0.458–0.523 µm], Band No. 3: green [0.543-0.578 µm], and Band No. 4: red [0.650–0.680 µm], spatial resolution: 10 m). All models' accuracy was evaluated using comparing the calculated bathymetric information with field observed values. The statistical indicators including correlation coefficients (R2), root mean square errors (RMSE), and standard errors (SE) for validation points were computed for all models of two imagers. The final results demonstrated that although the spatial resolution of L8/OLI imagery is less than S2A/MSI, the precision of estimated depth is higher due to having more bands in the visible wavelength range. However, the integrated cross-sensor-based method including the bands of both sensors yielded the most accurate results (R2 = 0.90, RMSE = 1.66 m, and SE = 1.29 m).
FFT-BASED FILTERING APPROACH TO FUSE PHOTOGRAMMETRY AND PHOTOMETRIC STEREO 3D DATA
Authors: Karami A. , Varshosaz M. , Menna F. , Remondino F. , Luhmann T.
Published: January 2023

Abstract. Image-based 3D reconstruction has been successfully employed for micro-measurements and industrial quality control purposes. However, obtaining a highly-detailed and reliable 3D reconstruction and inspection of non-collaborative surfaces is still an open issue. Photometric stereo (PS) offers the high spatial frequencies of the surface, but the low frequency is erroneous due to the mathematical model's assumptions and simplifications on how light interacts with the object surface. Photogrammetry, on the other hand, gives precise low-frequency information but fails to utilize high frequencies. As a result, in this research, we present a fusion strategy in Fourier domain to replace the low spatial frequencies of PS with the corresponding photogrammetric frequencies in order to have correct low frequencies while maintaining high frequencies from PS. The proposed method was tested on three different objects. Different cloud-to-cloud comparisons were provided between reference data and the 3D points derived from the proposed method to evaluate high and low frequency information. The obtained 3D findings demonstrated how the proposed methodology generates a high-detail 3D reconstruction of the surface topography (below 20 µm) while maintaining low-frequency information (0.09 µm on average for three different testing objects) by fusing photogrammetric and PS depth data with the proposed FFT-based method.