bluuebunny/crossref_metadata_2025 huggingface dataset:
Evidence of Spatial Clustering Distribution Patterns of Malaria in Epe, Lagos, Nigeria
Authors: BB Abdulrahman , AH Adesola
Published: January 2025

Investigation of the spatial distribution patterns of malaria with the goal of detecting intense transmission areas and clustering
is prerequisite to planning an effective targeted malaria intervention. Parasitological sampling was done in settlements in Epe
and Orimedu, Lagos, Nigeria. Blood samples were collected from 360 participants with georeferenced residences, selected
through multistage systematic sampling technique. Each study area was delineated into 3 Malaria Risk Zones (MRZs), namely;
Very High (V-MRZ), High (H-MRZ) and low (L-MRZ), according to distances of 500m, 1000m and 1500m respectively away
from perennial water bodies. Clustering and Outlier analysis was carried out to generate predictive malaria risk maps. Overall
malaria prevalence was 32.2%., being significantly higher in Orimedu (52.6%) than Epe (47.4%), p<005. Prevalence was
28%, 32% and 50% in the VH-MRZ, High-MRZ and L-MRZ respectively in Epe. H-MRZ accounted for the highest prevalence
(67%), in Orimedu, followed by the V-MRZ (39%) while the L-MRZ was uninhabited. Malaria clustering was detected in Uraka,
Iberikodo and Sagidan settlements in Epe (Moran’s Index = 062, p<005) but not in Orimedu. The multiple distinct malaria risk
zones coupled with the characteristic steep topographic may be responsible for forcing malaria to localize and cluster in Epe
compared to Orimedu.
Population Growth of Katsuwonus pelamis and Vulnerability to Fishing along the Syrian coast (Eastern Mediterranean Sea)
Authors: H Nader
Published: January 2025

From May 2023 to September 2024, a total of 270 random samples of Katsuwonus pelamis were collected from the waters
off the coast of Syria. Sophisticated analytical methods, including artificial neural networks and fuzzy logic, were utilized to
examine these samples. The largest specimen recorded had a fork length of 85 cm and was estimated to be 8 years old. The
von Bertalanffy growth equation derived from the fork length data (FLt
= 140.72 (1-e-0.09 (t + 2.378))) shed light on the growth
dynamics of this Katsuwonus pelamis population, indicating a trend of positive allometric growth, with a growth coefficient (b)
of 3.29. The index of growth performance (Φ’) was calculated at 3.24, reflecting efficient growth rates.
Estimates of mortality rates for Katsuwonus pelamis showed total mortality (Z) at 1.07 y⁻¹, fishing mortality (F) at 0.85 y⁻¹,
natural mortality (M) at 0.22 y⁻¹, and exploitation ratio (E) at 0.79 y⁻¹, resulting in a survival coefficient (S) of 0.34 y⁻¹.
The analysis indicated a large population growth (FP) of 56.6, while also revealing a high vulnerability to fishing (58.6 FV),
which poses a considerable risk to the species. These findings underscore the necessity for conservation strategies aimed at
sustainable management of the species, enhancing our understanding of the growth, mortality, and fishing vulnerability of
Katsuwonus pelamis, and informing future research and management efforts.
Acido Labile or Gastro Irritant Apis and Enteric Release in Galenic Practice: An Overview
Authors: M Luisetto , N Almukthar , K Edbey , GR Mashori , L Cabianca , O Latyshev
Published: January 2025

Aim of this work is to verify the acid lable, gastro irritants APIs for oral subministration and the active molecule that need a
specific enteric release. This information are useful in galenic field in order to choose the best vehicle (for oral suspension
or solution) and the right kind of capsules (normal or with gastroresistance). In this article not all molecules are analysed,
only submitted significative example. Some formulation are reported that require specific PH or enteric release or based on
lightly water soluble API. Various charcteristics of some commercial product (vehicle for oral suspension) are reported only
to show the composition and the rationale of their use: the reason to use one veicle for ph 4 or for buffered at ph 7-8 or and
related the capsules: use of normal or AR or treated for gastroresistence-enteric coating. The chemico-phisical properties of
the active principle are crucial to choose the right veicle for oral suspension or the kind of capsules (gastroresistence or not).
Fundamental for this approach the physiology of the Ph variation along the GI apparatus.
Geochemical Criteria for Assessing Prospects for Oil and Gas Bearing Capacity of Pliocene Sediments
Authors: A Deryaev
Published: January 2025

Studies are based on the identification of gas distribution patterns in Pliocene sediments that were obtained from perforated
wells. These studies include analyses of various forms of gases: free, associated (dissolved in oil) and water-dissolved. This
integrated approach allows for a more accurate determination of gas accumulations and their characteristics within the study
areas. The main direction of our research is a detailed study and analysis of gas composition, which allows us to identify
dependencies and regularities of their distribution in Pliocene-age rocks. Using data on free gases, associated gases dissolved
in oil, and water-soluble gases, we aim not only to determine their concentration, but also to understand the conditions of
their formation and accumulation. This includes the study of gas migration processes, their interaction with surrounding
rocks and fluids, and the influence of geological factors such as tectonics and lithology on the distribution of hydrocarbon
gases. Another area of our research is based on the identification of productive and water-bearing targets in the study of
uncased wellbores using geophysical methods. In particular, we use integrated methods of geophysical well testing (GWT)
and open formation tests (OPT), which allow us to obtain detailed information on the fluid saturation of formations and their
productive characteristics.
Cognitive Map is Earned with Experience, Effort and Physical Activity: Possible Disfigurement of Memory with Early GPS Use
Authors: Alicia Garcia-Falgueras
Published: January 2025

The systematic use of the Global Positioning system (GPS) as a recursive and repetitive use of feedback about our position
and destination provided by the GPS has a negative impact on human intrinsics natural navigation strategies. This negative
impact is specially present when the GPS absorbs all the possible exterior stimulation that the driver might receive (visual and
auditory stimulation). The auditory cortex is generally not so relevant to build an inner cognitive map, while with the GPS the
audition would be the principal source of input. With GPS instructions, attention may never flow beyond the closer sensations
(thigmotaxis) to the formation of a cognitive map after brain processing. In this paper we have checked brain processing of
elaborating an escape route in a Morris Maze test for different aged mice (1 month vs 4 months). The younger mice were lost
at the beginning of the first trial but quickly learned how to escape and were able to better remember the platform position
through different trials, compared to the adult group. These new skills were more remarkable in a second session, made
thirteen days later than the first one. Probably because their hippocampus and brain network made new connections, which
were translated into their more adaptive behavior, so the water environment would have become a more familiar place and an
essential cognitive map had arisen from their swimming experiences. This “ability to understand” or cognitive map happened
because of their healthy state (one ill mouse could not survive the test). The learning was motivated by biological survival and
earned by their hard physical activity during swimming to stay afloat and breathe.
Project-Based Learning Model with Visit Home Approach and Learning Style on Social Studies Learning Outcomes in Elementary Schools
Authors: Nurhasanah  , Tanjung Samsidar , Matondang Zulkifli
Published: January 2025

Implementing the PBL Model using the Visit Home approach requires more time, so it becomes a challenge, mainly if learning time is limited. This research aims to analyze the differences in social studies learning outcomes for students taught using the project-based learning model assisted by the home visit method compared to the online learning model. This type of research is experimental research. The sample in this study was class V students consisting of 2 class groups, namely V-A with 27 students and class V-B with 27 students. Data collection methods use tests and questionnaires. The data collection instruments are questionnaires and test questions. The data analysis techniques used are descriptive and inferential statistical techniques. The research results show differences in social studies learning outcomes for students taught using the project-based learning model assisted by the home visit method compared to online media. Secondly, there are differences in social studies learning outcomes between students with visual, auditory, and kinesthetic learning styles. Third, there is an interaction between learning approaches and learning styles on students' social studies learning outcomes. It was concluded that the project-based learning model assisted by the home visit method could improve student learning outcomes.
Textbook Based on Local Wisdom for Learning Text Description in Indonesian Language Subjects for Class IV
Authors: Regita Vian Priswanti  , Suhartiningsih  , Nindya Nurdianasari  , Vivi Darmayanti  , Trapsila Siwi Hutami
Published: January 2025

The textbooks in schools still come from student books developed by the government, which are still general in nature. Its means that students do not yet know the local wisdom that exists in Situbondo Regency. This research aims to develop textbooks based on local wisdom. This development research uses the Borg and Gall development model, but its implementation only reaches the eighth stage. The research subjects were fourth grade students at SDN 4 Kendit. Data collection methods in this research include observation, interviews, tests and documentation. The data collection instruments used were observation guidelines, interview sheets, student response questionnaire sheets, documentation sheets, and learning outcomes test sheets. The analytical method used includes descriptive quantitative analysis. Data analysis techniques use, product validation, trials, product effectiveness, and product practicality. The development of textbooks based on local wisdom produces products that are valid, effective and practical. Product validity scores 89% (very decent). The effectiveness of the product is shown by the results of student learning tests which get a relative effectiveness of 100% (high effectiveness). Product practicality received a score of 95.8% (very practical). Based on the data above, it can be concluded that textbooks based on local wisdom are valid, effective and practical to use in implementing learning. The implication is that the products produced in this research have a positive effect on student learning outcomes.
Team Game Tournament Cooperative Learning Model Based on Problem Solving Impact on Collaboration Ability and Learning Outcomes
Authors: I Gusti Ayu Sri Trisna Dewi  , I Wayan Lasmawan  , I Gede Margunayasa
Published: January 2025

The low collaboration ability and learning outcomes of Pancasila Education are caused by the appropriate learning model and the learning method is still rote memorization. The purpose of this research is to determine the differences in student learning collaboration skills between groups of students taught with the TGT learning model and groups of students taught with the conventional learning model, differences in Pancasila education learning outcomes between groups of students taught with the TGT learning model and groups of students taught with conventional learning model, differences in collaboration skills and Pancasika education learning outcomes between groups of students taught using the TGT learning model and groups of students taught using the conventional learning model. This type of research is quasi-experimental research. The research design used was post-test only control group design. Data collection methods use test and non-test techniques. Data were analyzed using Manova. The research results showed that there was a significant influence of the problem-solving-based TGT learning model on collaboration skills and Pancasila Education learning outcomes. With the TGT learning model, students get direct learning experience so that learning is more interesting and can improve collaboration skills and student learning outcomes. From the data, it is recommended that teachers use the TGT learning model in teaching Pancasila education in elementary schools to improve collaboration skills and student learning outcomes.
Model Discovery Learning Menggunakan Media Smart Pop Up Book Terhadap Kemampuan Menulis Siswa Sekolah Dasar
Authors: Dhivanny Aulia Rahmawwati  , Rusnilawati
Published: January 2025

Saat ini masih banyak siswa yang tidak memiliki keterampilan menulis yang ditandai dengan hasil belajar siswa yang rendah. Hal ini disebabkan karena model pembelajaran dan media pembelajaran yang digunakan kurang tepat sehingga berdampak pada keterampilan menulis siswa.  Tujuan penelitian ini yaitu untuk menganalisis pengaruh Model Discovery Learning Menggunakan Media Smart Pop Up Book terhadap kemampuan menulis siswa sekolah dasar. Jenis penelitian ini yaitu penelitian kuantitatif desain penelitian menggunakan model eksperimen. Desain eksperimen yang diterapkan dalam penelitian ini adalah desain quasi eksperimen dengan kelompok kontrol non-ekuivalen. Populasi penelitian ini yaitu berjumlah 41 siswa. Teknik sampling yang diterapkan pada studi ini adalah Purposive Sampling. Metode yang digunakan untuk mengumpulkan data yaitu tes. Instrumen yang digunakan untuk mengumpulkan data yaitu soal tes. Teknik yang digunakan untuk menganalisis data yaitu analisis deskriptif kuantitatif, serta statistik inferensial. Hasil penelitian yaitu terdapat perbedaan yang signifikan dalam keterampilan menulis siswa setelah menggunakan model Discovery Learning berbantuan media Smart Pop Up Book. Perbandingan Pre-test idan iPost-Test kelas eksperimen menunjukkan perbedaan dengan kategori tinggi. Selain itu, perbandingan Post-test eksperimen dan Post-test control terhadap pengaruh model pembelajaran dengan kategori sedang. Disimpulkan penerapan teknologi digital pada media Smart Pop-Up Book yang diintegrasikan dengan Model Discovery Learning berdampak pada antusias siswa dalam kegiatan belajar.
Project Based Learning: Modifying Runway Lights as Visual Landing Aids Using Solar Power
Authors: Soleh Asep Muhamad , Parjan  , Annisa Baby Callista  , Ni Putu Heni Handayani  , Jajang Wijaya
Published: January 2025

The conditions found in the field of learning, namely the packaging of learning aids for understanding and creative skills, have not been handled systematically. Based on this, this study aims to analyze the differences between project-based learning models and conventional learning. The study was conducted using a quantitative method involving evaluations and student interviews. The population in this study was 8th-semester students in the Engineering Technology Study Program. The study sample amounted to 40 people. The methods used in data collection were observation, interviews, and tests. Data collection instruments used observation sheets and test questions. Data processing used the statistical data processing application of the MANOVA test. The study results showed differences in cooperation and learning outcomes between students who used the project-based learning method and those who used the conventional learning system. The project-based learning method has fostered better creativity, cooperation and learning outcomes. It was concluded that the project-based learning model can improve creativity, cooperation and student learning outcomes. This study implies that applying the project-based learning model can foster creativity and cooperation between students so that it can be used in learning.
Implementing the Independent Learning Curriculum on Student Learning Motivation in Fashoin Dependent Classes
Authors: Rika Riwayani  , Hamidah Suryani  , Nur Wulan
Published: January 2025

In the world of education, the curriculum has an important role in determining the direction and quality of learning experienced by students. The implementation of an independent learning curriculum designed to increase student involvement and responsibility in the learning process. This research is ex-post facto research with a quantitative type of research. This research aims to determine the description of the implementation of the Independent Learning Curriculum in the Fashion Department and the Learning Motivation of Students in the Fashion Department. This type of research is ex-po facto. The population in this study were class X and XI students majoring in fashion design. The sampling technique uses a population sample method where if the population is less than 100 then the entire population becomes the sample, namely a sample size of 50 students. The data collection techniques used are observation, documentation and questionnaires. The analysis techniques used are descriptive statistical analysis and inferential analysis. The results of the research show a picture of the implementation of the independent learning curriculum majoring in fashion design with a percentage of 34% or 17 students who produced an interval of 40-43 which was categorized as moderate; and Description of the learning motivation of students majoring in fashion design with a percentage of 32% or 16 students who produced the highest interval of 43-46 which was in the high category. If the implementation of an independent learning curriculum is proven to be effective in increasing motivation, the implication for the world of education is that there will be a push to implement a more flexible and adaptive approach in various practice-oriented classes.
Optimizando el aprendizaje hibrido implementación del enfoque de competencias en una experiencia educativa de ingeniería. Competencias en LCS
Authors: Barojas-Payán Erika , Mota-López Dulce-Rocío , Juárez-Rivera Victorino
Published: January 2025

En este documento se describe el diseño y aplicación de la Experiencia Educativa (EE) de Logística y Cadena de Suministro (LSC) basada en la Educación Basada en Competencias dentro del programa de Ingeniería Industrial. El objetivo del diseño es desarrollar las competencias necesarias para la gestión logística y de la cadena de suministro en los futuros ingenieros industriales. Balanceando la teoría y la práctica mediante el uso de diversas herramientas tecnológicas y de diseño. Considerando además elementos como productividad, costos, seguridad, sustentabilidad, ergonomía e impacto ambiental. Con el objetivo de adquirir las competencias necesarias para insertarse en el mundo laboral, potenciando los objetivos educativos y alineándose con el perfil profesional requerido al egresar. Actividades como escucha activa, investigación, exposición de temas, aplicación de nuevas técnicas y métodos, desarrollo de proyectos y evaluaciones teórico-prácticas ayudan a los estudiantes a cumplir con las competencias requeridas por la EE. Además, los estudiantes desarrollan habilidades de investigación, comunicación oral y escrita, aprendizaje significativo, desarrollo autónomo, trabajo colaborativo y valores como la tolerancia y la solidaridad. Este proyecto se llevó a cabo con un método distribuido, clases teóricas y prácticas de laboratorio utilizando la plataforma institucional, el correo electrónico y WhatsApp como medios alternativos de comunicación y transferencia de información. Los resultados muestran que de los 42 estudiantes que tuvieron esta experiencia educativa, el 83.3% de los estudiantes fueron acreditados en ordinario, el 14.3% en extraordinarios y el 2.4% no se presentó a la acreditación. De los 42 estudiantes, solo 41 respondieron la encuesta de satisfacción: el 97.6% calificó su satisfacción como alta, con base en la claridad de la instrucción y la capacidad de respuesta a las consultas y el 92.7% argumentó que los temas y actividades han sido adecuados y comprensibles. Estos hallazgos demuestran la efectividad de la EE para dotar a los estudiantes de habilidades esenciales y fomentar altos niveles de satisfacción, validando su aplicación dentro de modelos de aprendizaje híbridos.
Construção e reconstrução
Authors: Mouallem Tiago Salomon Bezerra
Published: January 2025

Esse trabalho se propõe a colocar em questão os caminhos tomados pela crítica literária dialética no Brasil, mapeando sua diversidade interna e suas contradições. Para tanto, será posta em comparação a produção de dois dos maiores críticos literários brasileiros, Antonio Candido e Roberto Schwarz – mais especificamente o diálogo direto construído por ambos com os artigos “Dialética da Malandragem” e “Pressupostos, salvo engano, de ‘Dialética da Malandragem’”. Os textos, em perspectiva, parecem oferecer pistas de diferenças internas na produção crítica, o que indica sua força criativa e renovadora. Assim, as divergências entre ambos, que ultrapassam certa consonância metodológica, serão vistas como problemas em sentido fecundo, entendidas e interpretadas como forma de avanço no campo da crítica literária. As motivações de tais superações críticas entre os autores também servirão de guia para a análise, e se procurará entendê-las à luz do debate sociológico travado ao longo do século XX no Brasil.
Poesia literária como direito no espaço escolar
Authors: Signori Bruno Luiz , Motta Vaima Regina Alves
Published: January 2025

Neste artigo socializam-se algumas reflexões quanto à poesia, à literatura e ao trabalho com ambas no espaço escolar. O resgate teórico de autores como Candido (2011), Cosson (2021), Lajolo (2018), Paz (1982), Pinheiro (2018) e Silva (1986) objetiva defender a importância do trabalho com poesia em sala de aula. Para amparar o objetivo geral, busca-se: resgatar definições dos vocábulos “poema” e “poesia”, evidenciando uma necessária separação teórica no que diz respeito ao uso desses vocábulos/conceitos; conectar os conceitos “poesia” e “poema”, a fim de discutir a validade do trabalho pedagógico do primeiro por intermédio do segundo; e defender a poesia literária como saber “de direito” no espaço escolar. Quanto aos resultados, entende-se que existe aporte teórico tanto para classificar poema e poesia como conceitos dispares quanto para aproximá-los pedagogicamente. Entende-se, também, que é possível refletir sobre a importância da poesia, enquanto acontecimento potencialmente transformador, para a sala de aula.
À margem da margem
Authors: Amaral Graciele de Fátima , Teixeira Níncia Cecília Ribas Borges
Published: January 2025

A poesia, por seu caráter subjetivo, tem grande potência responsiva; ou seja, é possível compreender determinado tempo por meio da sua leitura: há respostas na poesia. O movimento nominado geração beat foi precursor da poesia marginal que, por sua vez, deu visibilidade a outros gêneros tal qual a poesia slam. No entanto, apesar dos escritos revolucionários, é possível perceber que a produção da geração beat é de escritores (no masculino). Há, portanto, uma lacuna na história relativa às escritoras (no feminino). O movimento conhecido como Poetry Slam (Poesia Slam) é o nome dado às competições de poesia falada oriundas da produção autoral da periferia e da poesia marginal. O objetivo principal deste estudo é o de dar visibilidade literária às poetas da geração beat (representadas por Elise Cowen) e da poesia slam paranaense no que diz respeito a pontos confluentes: a invisibilidade em detrimento de autores masculinos e as temáticas contundentes.
“A solidão é a tinta da viagem”
Authors: Silva Alex Bruno da
Published: January 2025

O objetivo deste artigo é analisar dois aspectos nos romances Simpatia pelo demônio (2016), de Bernardo Carvalho, e A noite da espera (2017), de Milton Hatoum: deslocamentos migratórios/exílicos e rastros da barbárie em sua dimensão social e pessoal. As obras tratam da experiência do deslocamento com suas tensões e subjetividades, colocando em evidência a noção de estraneidade para além da dimensão territorial (Canclini, 2016). Na obra de Carvalho, a perspectiva é a do estrangeiro que cruza países na tentativa de combater o terrorismo no mundo em meio às vicissitudes da própria identidade em conflito. Na obra de Hatoum, o olhar é o de um sujeito exilado que escreve e realiza um resgate da memória para elaborar o passado e tentar seguir em frente. Essas duas perspectivas se complementam, na medida em que refletem a pluralidade das narrativas migrantes.
Pensamento Fraco, Verwindung, Ueberwindung e capitalismo
Authors: Leão Allison , Nascimento Juliana Rozário do , Páscoa Márcio
Published: January 2025

A arte de produzir efeito sem causa (2008), de Lourenço Mutarelli, narra a vida de Júnior após deixar mulher e filho e voltar para a casa do pai. O autor constrói a ficção de forma que o íntimo do personagem dialoga com realidades socioeconômicas, socioculturais, psicológicas e afetivas. O artigo investiga o personagem como representação de nossa época, a partir da noção de pós-modernidade de Vattimo (1992; 2002). Utiliza-se dos seus conceitos de pensamento fraco (débil), Verwindung e Ueberwindung e as ideias de valor aí inferidas. Também é estabelecida uma relação desses conceitos com o capitalismo líquido de Bauman (2001), de modo a traçar a influência do consumo e do trabalho na vida do personagem, mostrando a fragilidade das estruturas tradicionais diante de um mundo cada vez mais fluido. A abordagem teórica é completada por Han (2015), acerca do neoliberalismo, valor de produção e as transformações que isso provoca.
desejo de escrever
Authors: Vidal Paloma
Published: January 2025

Entrevista com a escritora e professora de Teoria Literária Paloma Vida. Graduada em Letras e Filosofia na Universidade Federal do Rio de Janeiro. Paloma Vidal é doutora em Letras pela PUC-Rio, realizou pós-doutorados na Universidade de Brasília (2006-2007), na Universidade Estadual de Campinas (2007-2009) e na Universidade Paris Diderot (2016), sobre a obra de Roland Barthes.
Publicou os livros de contos A duas mãos (2003), Mais ao sul (2008), Dupla exposição, com imagens de Elisa Pessoa (2016), e Ensaio de voo, com edição artesanal pela editora Quelônio (2017); os romances Algum lugar (2009), Mar azul (2012), Pré-história (2020) e La banda oriental (2021); as duplas de livros de poemas Durante e Dois (2015) e Wyoming e Menini (2018), com textos do blog “Lugares onde eu não estou” (www.escritosgeograficos.blogspot.com).
Publicou também os ensaios A história em seus restos: literatura e exílio no Cone Sul (Annablume, 2004), Escrever de fora: viagem e experiência na narrativa argentina contemporânea (Lumme, 2011), Estar entre: ensaios de literaturas en trânsito (Papéis selvagens, 2019) e Não escrever [com Roland Barthes] (Tinta da China, 2023).
Traduziu, entre outros autores, Clarice Lispector, Adolfo Bioy Casares, Margo Glantz, Tamara Kamenszain, Sylvia Molloy, Lina Meruane, Silviano Santiago e César Aira.
 
Edição: Ana Paula Rodrigues da Silva (USP), Thiago Fonseca (TV-PUC)
Música: PIPA estúdio
Revista FronteiraZ 33 – dezembro/2024
Comparison of some CNN architectures for detecting cardiomegaly from chest X-ray images
Authors:   LMSA Laboratory, Department of Mathematics, Faculty of Sciences, Mohammed V University in Rabat, Regragui H. , Ziani M. ,   LMSA, Department of Mathematics, Faculty of Sciences, Mohammed V University in Rabat, Moussaid N. ,   LMCSA, Hassan II University of Casablanca
Published: January 2025

In medical image analysis, deep learning and convolutional neural networks (CNN) are widely employed, particularly in tasks such as classification and segmentation. This study specifically addresses their application in healthcare for detecting cardiomegaly, a condition characterized by an enlarged heart, often related to factors such as hypertension or coronary artery diseases. The primary objective is to develop an algorithm to identify cardiomegaly in chest X-ray images, constituting a binary classification problem (whether the image exhibits cardiomegaly or not). Using the CXR8 dataset from the National Institute of Health Clinical Center, comprising 2\,776 cardiomegaly images and 60\,361 no finding images, the inputs are labeled images, and the outputs are the corresponding labels (Cardiomegaly or No Finding). Employing Keras and TensorFlow Python libraries, we aim to construct a CNN model that excels in binary classification, distinguishing between cardiomegaly and no finding in chest X-ray images.
METHOD OF BUILDING A NORMALIZED IMPLEMENTATION SCHEDULE OF A SOFTWARE DEVELOPMENT PROJECT FOR A SCRUM TEAM WITH NON-DIFFERENTIATED SPECIALIZATIONS
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Teslyuk V. M. , Batyuk A. Ye. ,   Lviv Polytechnic National University, Lviv, Ukraine, Voityshyn V. V. ,   Lviv Polytechnic National University, Lviv, Ukraine
Published: January 2025

From the business standpoint, predictability of the resources and time required for successful project completion is one of the key aspects of software development. This estimate significantly impacts project implementation and its outcomes – underestimation often leads to failures. An implementation schedule is one of the key ingredients of software development project estimation. Over recent years, the software development business has become even more competitive which, in turn, has imposed more demanding requirements on estimates – the more accurate an estimate is, and the less working time is spent on its preparation, the higher chance to overperform the competitors. This is why automation of such a manual assignment as project implementation schedule preparation is a relevant scientific and technical task. The current article is devoted to a method of building a software development project tasks implementation schedule. The project is supposed to be done by a scrum team with non-differentiated specializations. The resource constraints are expressed as balancing of the task effort estimates and the project team development capacity for each of the sprints. In order to unify measurement of software development productivity, a "normalization" approach is applied. The order of adding tasks to a schedule considers dependencies between the tasks and utilizes the List Scheduling method. As the method's outcomes, a set of feasible project implementation schedules is produced. Over a feasible schedule, a fine objective function is defined. This objective function minimizes the project team's idle time assuming that such idle time in the beginning of the project is "worse" than in its ending. Being applied along with the Multi-Stage Estimation method, the method proposed in the current article allows to reduce the working time spent by experts on preparation of estimates. Because of its simplicity, the software implementation of the current method version can be done without writing source code – a spreadsheet editor can be used instead. The priority ways of the further evolution of the method are the following: supporting of scrum teams with differentiated and mixed specializations; transition from a normalized project implementation schedule to the "full" one considering the project tasks' lifecycle and the structure of software developers' working time.
ARTIFICIAL NEURAL NETWORKS IMPLEMENTATION IN MOBILE ROBOTIC PLATFORM CONTROL SYSTEM
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Kazarian A.G. , Maksymiv O. P. ,   Lviv Polytechnic National University, Lviv, Ukraine, Tkachuk K. I. ,   Lviv Polytechnic National University, Lviv, Ukraine, Parcei R. V. ,   Lviv Polytechnic National University, Lviv, Ukraine, Tesliuk S. V. ,   Lviv Polytechnic National University, Lviv, Ukraine
Published: January 2025

In the era of rapid technological advancement, when robotics and intelligent systems are becoming an integral part of everyday life, the importance of developing control systems for mobile robotic platforms using artificial neural networks becomes extremely high and relevant. This field not only has significant practical needs but also holds considerable potential for innovative development. The evolution of modern robotics and computational intelligence has necessitated the creation of more efficient and adaptive mobile robotic systems. A system and tools for controlling mobile robotic platforms using artificial neural networks (ANNs) have been developed in this work. By simulating the workings of a neural system, ANNs enable robots not only to react to input data but also to learn to solve complex tasks and adapt to changes in their environment.
One of the key challenges in mobile platform control is the development of effective and intuitive interfaces that provide convenient and reliable interaction between the user and the robotic system. In this context, the use of hand gestures by humans represents a progressive and promising direction as it allows for the creation of the most natural and efficient means of control. The main task is to create an effective and intuitively understandable system that enables the operator to interact with the robotic platform using natural movements and gestures. As a result, software with a graphical interface for real-time gesture recognition using machine learning has been developed.
The scientific novelty of the approach is the integration of advanced ANNs methods to improve the quality of control and functionality of mobile robotic platforms. The main aspects of scientific novelty include integration with artificial intelligence, interactivity of control, development of robotics mobility, and adaptability to various tasks. The problem addressed in this work lies in the need to develop effective and intuitive control systems for mobile robotic platforms using gesture recognition technologies.
A program based on convolutional neural networks has been developed, which determines the position of the hand and identifies specific gestures such as forward, backward, right and left turns, as well as stopping movement. The implemented technology can be used in various fields of human activity (smart home control, technological solutions for people with physical disabilities, enhancing interactivity in entertainment devices, improving interfaces for interacting with technical equipment).
USING ARIMA MODELS FOR FORECASTING OF OVERALL CRIME RATE IN UKRAINE
Authors:   Vinnytsia National Technical University, Vinnytsia, Ukraine, Yarovyi A. A. , Shevchuk O. F. ,   Vinnytsia National Technical University, Vinnytsia, Ukraine, Kozlovskyi A. V. ,   Vinnytsia National Technical University, Vinnytsia, Ukraine, Panochyshyn Yu. M. ,   Vinnytsia National Technical University, Vinnytsia, Ukraine, Simonchuk S. V. ,   Vinnytsia National Technical University, Vinnytsia, Ukraine
Published: January 2025

Crime rate forecasting is a critical element in the development of strategies for sustainable socio-economic growth in a rule-of-law state. Accurate forecasting becomes particularly important in times of economic instability and geopolitical crises, as is the case in Ukraine. This article explores the problem of constructing and applying autoregressive integrated moving average (ARIMA) models to predict the total number of crimes committed in Ukraine. The statistical analysis of the crime time series was conducted using the Python programming language, utilizing specialized libraries such as numpy, pandas, matplotlib, statsmodels, pmdarima, and scikit-learn. The calculations indicate that the crime time series (1990-2023) demonstrates a declining trend, is non-stationary, and contains anomalous values in crime rates in 2003, 2013, and 2020, correlating with socio-political crises in Ukraine. Specifically, the anomalous increases in crime rates (in 2003 and 2013) align with heightened public unrest preceding the Orange Revolution (2004-2005) and the Revolution of Dignity (2013-2014). In contrast, the unusually low crime rates observed in 2020 are attributed to restrictive quarantine measures implemented due to the COVID-19 pandemic. The use of data integration by taking the first differences between observations resulted in the loss of autocorrelation structure inherent in the overall crime series. Consequently, the initial ARIMA (1, 0, 0) model was built based on the untransformed input data. The accuracy of this model was higher compared (MAPE = 8,61%) to the model obtained using the exponential smoothing method (MAPE = 9,38%). Logarithmic transformation of the crime time series and smoothing of anomalous levels enhanced the predictive validity, allowing the ARIMA model to account for additional autocorrelation while avoiding the need for a moving average component. As a result, the ARIMA (2, 0, 0) model demonstrated the highest accuracy (MAPE = 7,04%) with minimal complexity, as confirmed by information criteria results. Furthermore, the model successfully passed robustness testing using the cross-validation method with the exclusion of a single observation. The forecasted estimates, derived from all the examined ARIMA models, indicate a continued increase in the overall crime rate in Ukraine, which began in 2021 following a prolonged period of decline.
COMPUTER DIAGNOSTIC SYSTEMS: METHODS AND TOOLS
Authors:   West Ukrainian National University, Ternopil, Ukraine, Liashchynskyi Pavlo B. , Berezsky O. M. ,   West Ukrainian National University, Ternopil, Ukraine
Published: January 2025

The paper investigates computer diagnostic systems, their architectures, methods, and algorithms used in their work to diagnose cancer, including breast, lung, brain, and other tumors.
Traditional and neural network methods for image segmentation and classification are analyzed and compared, and diagnostic tools in medicine are analyzed.
The key approaches to medical image processing are investigated, in particular, the analysis of segmentation methods based on U-Net networks and classification using convolutional neural networks.
It is established that neural network methods outperform traditional approaches in terms of accuracy and efficiency in segmentation and classification tasks. The main advantages of using neural network architectures in computer diagnostic systems are revealed, in particular, the possibility of automating the diagnostic process and improving the accuracy of the results. Neural network-based solutions provide a more adaptive and scalable approach that can be trained and improved as new data becomes available, making them highly suitable for rapidly evolving industries such as medical diagnostics.
Computer experiments on image preprocessing and segmentation were conducted. Thus, the effectiveness of U-Net networks for image segmentation tasks was established.
An automatic diagnostic method based on U-Net and convolutional neural networks has been developed that reduces the diagnostic time due to parallel image processing. The paper presents a detailed scheme of the developed method. It includes the segmentation of immunohistochemical images, after which the quantitative characteristics and classification of histological images will be calculated, followed by the combination of all the results obtained to make a diagnosis. This approach provides a comprehensive analysis that combines structural and quantitative data, which helps to increase the reliability of diagnostic results
The scientific novelty of the developed method of automatic diagnosis based on neural networks is the use of a parallel approach to performing segmentation and classification.
The developed method can be used in computer diagnostic systems in medicine. The use of the developed method gives an increase in the speed of data processing and, accordingly, diagnosis. In addition, parallel execution contributes to more efficient use of computing resources.
UNIVERSAL CONTROLLER FOR THE DISTRIBUTED MANAGEMENT IN THE ADAPTIVE SMART HOME SYSTEMS
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Teslyuk V. M. , Beregovska Kh. V. ,   Lviv Polytechnic National University, Lviv, Ukraine, Zerbino D. D. ,   Lviv Polytechnic National University, Lviv, Ukraine, Teslyuk T. V. ,   Lviv Polytechnic National University, Lviv, Ukraine, Seneta M. Ya. ,   Lviv Polytechnic National University, Lviv, Ukraine
Published: January 2025

It is developed the structure and algorithm of functioning of the universal controller of the adaptive smart home system. Distributed management provides increased survivability, and the modular principle of system organization ensures effective modernization in the future. The developed information model involves a connection with a remote data server using a Wi-Fi module on an ESP8266 microcontroller, which supports a local Wi-Fi network to provide control of a smart home through smartphones. A web page is associated with the local IP address of the ESP8266, through which users receive information on the current state of the home on their smartphone and can control it remotely. Periodically, through the same Wi-Fi module, the system sends data to the cloud server, as well as reads data from it for remote control of the home. The connection to the Internet is made through a Wi-Fi router. The system performs simple and urgent operations without the server involvement. Depending on the needs, the universal controller can be replaced with a specialized one. For efficient organization of the exchange of internal data between controllers, the protocol of two-wire shared bus I2C is used in the system. Communication between the system controller and the server is carried out via the universal UART channel. The system server transmits AT commands and data for the ESP8266 Wi-Fi module via the second UART channel. The proposed technical solution is characterized by a low price. The developed software for universal system controllers is developed in the assembly language for the STM8 microcontroller, which ensures high-speed operation of the device. Examples of the layout of the "transmitter" of the system and the implementation of the "receiver" of the adaptive smart home system are considered.
The hardware and software structure for controller development for distributed management in the adaptive smart home systems is proposed. The principles of intelligent adaptation of the system to the user were used to implement a smart home. The technical support of the adaptive system of the smart house is developed, which is characterized by a low price. The creation of such adaptive systems can be implemented with different "levels" of intelligence. During development, it is very important to maintain the maximum ratio: of quality as an approximate benefit in time, which saves the user of the system, to the cost of system implementation.
SOFTWARE MIGRATION FROM MONOLITHIC ARCHITECTURE TO MICROSERVICES ARCHITECTURE AS A WAY OF PROTECTING CRM SYSTEMS
Authors:   State University of Trade and Economics, Kyiv, Ukraine, Pryhoda A. Ya.
Published: January 2025

The study of this work was focused on the process of protecting CRM systems in the conditions of the transition of software, which is the main part of CRM systems from a monolithic architecture to an architecture based on microservices. This article explores a migration strategy using the Strangler Fig pattern that facilitates the incremental adoption of microservices while maintaining compatibility with the existing monolith. A key aspect of a migration strategy is choosing a framework, such as the Framework for Microservices Migrations (FMM), that standardizes development practices and helps decompose monoliths into manageable components. Communication between microservices and the monolith is facilitated through a REST API that ensures seamless interaction. The integration of microservices is achieved through the implementation of DTOs (Data Transfer Objects) and API gateways, which ensures smooth data exchange between components. The article emphasizes the importance of dependency and configuration management in microservices, emphasizing the need for encapsulation and autonomy. In addition, the research examines the use of Curcuit Breaker patterns to effectively handle failures and maintain system stability during the migration process. Microservices, implemented as APIs, demand robust authentication methods such as cryptographic API keys and tokens. Security Assertion Markup Language (SAML) or OpenID with OAuth 2.0 are suggested solutions to enhance data security. Centralized architecture for authorization policies is crucial to regulate access across all microservices, while standardized token-based authentication ensures platform-neutral interoperability. However, decentralized authorization enforcement at each microservice entry point may lead to inconsistent security policies. Moreover, access to APIs handling confidential data necessitates authentication tokens with digital signatures or from trusted sources. Access control policies should be meticulously defined and enforced, with considerations for token expiration and scope limitations. The abstract underscores the significance of centralized access management and the challenges posed by anonymous connections bypassing API gateways.
MATHEMATICAL MODELING OF THE ANALYSIS OF TEMPERATURE REGIMES IN ELEMENTS OF ELECTRONIC DEVICES WITH LOCAL EXTERNAL HEATING AND WITH TAKING THERMOSENSITIVITY INTO ACCOUNT
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Havrysh V. I. , Shkrab R. R. ,   Lviv Polytechnic National University, Lviv, Ukraine
Published: January 2025

The linear and nonlinear mathematical models for determining the temperature field and subsequently analyzing temperature regimes in isotropic spatial media subjected to external local thermal load are developed. In the case of a nonlinear boundary value problem, the Kirchhoff transform is applied to linearize the nonlinear heat conduction equation and nonlinear boundary conditions, resulting in a linearized second-order partial differential equation with a discontinuous right-hand side and partially linearized boundary conditions. For the final linearization of the partially linearized boundary conditions, the temperature was approximated by the spatial coordinate on the boundary surface of the heat-sensitive medium by a piecewise constant function, which made it possible to obtain a linear boundary value problem with respect to the Kirchhoff transform. The method of the integral Fourier transform was used to solve the linear boundary value problem and the resulting linearized boundary value problem, which resulted in the analytical solutions of these problems. For a thermosensitive medium, as an example, the linear dependence of the thermal conductivity of the structural material of a structure on temperature, which is often used in many practical problems, is chosen. As a result, an analytical solution in the form of a non-proprietary integral is obtained to determine the temperature distribution in this medium. A numerical analysis of the temperature behavior as a function of spatial coordinates for given values of geometric and thermophysical parameters is performed. To determine the numerical values of the temperature in the above structure, as well as to analyze the heat transfer processes caused by locally concentrated heat flux, software tools have been developed that have been used to perform a geometric representation of the temperature distribution depending on the spatial coordinates. The developed linear and nonlinear mathematical models for determining the temperature field in spatial environments with external heating show that they are adequate to the real physical process. They make it possible to analyze such environments in terms of their thermal stability. As a result, it becomes possible to increase it and protect against overheating, which can cause failure not only of individual components and their individual elements, but also of the entire structure.