bluuebunny/crossref_metadata_2025 huggingface dataset:
A Research-Based Evaluation Instrument of Teaching Performance Focused on the Learning Outcomes
Authors: Itaas Estela C , Valdez Maribel G
Published: October 2022

All higher educational institutions in the Philippines have recently adopted the Outcomes-Based Education (OBE), and this has resulted in the need to revise how the faculty is to be evaluated. This study developed an evaluation instrument of the teaching performance of the faculty based on the learning outcomes. The study was conducted at Bukidnon State University with college students randomly selected from the different colleges. Factor analysis was used to generate the constructs. The researchers used Develop, Pilot Test, Evaluate, and Implement (DPTIE) model. The five factors with the constructs are Factor I – Motivation for Learning and Lesson Presentation, Factor II – Management of Learning; Factor III – Innovativeness and Creativity, Factor IV – Mastery of the Subject Matter, and Factor V – Assessment of Learning. Items corresponding to these factors or constructs are found in the final instrument. The evaluation tool was found to be valid and reliable to measure the performance of faculty. It cannot be seen yet how this can be applied to OBE where outcomes of learning are emphasized because the new curricula have to be implemented. However, it is recommended that this evaluation tool is utilized by the students, chairpersons, and deans to evaluate the teaching performance of the faculty. Keywords: research-based learning outcomes, Outcomes-Based Education (OBE), factor analysis, evaluation tool, factor loadings
Experiences of Graduate Students in Thesis Writing: Its Implications to ASEAN Integration
Authors: Itaas Estela C , Valdez Maribel G
Published: October 2022

Graduate students often face problems of finishing their degrees based on the observation, experiences, and interviews with students and advisers. These problems are mainly due to the rigorous process of writing a scholarly thesis. Many graduate students are constrained by time and resources. Students do not have adequate research writing skills necessary for papers that reflect creativity, originality, and mastery of one’s specialization. In this study, qualitative methods were used with an open-ended survey questionnaire as the basis for the discourses employed in the narrative analysis. Five respondents represented each degree program. These graduate students were asked to describe their experiences of training designed to take them through the different sections of writing their thesis papers. The responses were then categorized using Gagne’s five categories of learning outcomes. Results indicate that the students found the training/ seminar-workshop informative and relevant. Based on the learning outcomes, the training improved their intellectual skills, verbal information, cognitive strategies, and attitudes.  This training also impacts on the ASEAN integration in that students are confident they would be able to meet academic and professional requirements because of the learning they have undergone through the thesis writing training. Investing in training can help prepare students to meet the challenges of writing scholarly papers which are comparable to those written by other ASEAN member states.Keywords:  training-workshop, thesis writing, scholarly thesis, rigorous writing process
The Implementation of the Corporate Social Responsibility (CSR) of the Agribusiness Firms in Bukidnon
Authors: Bicar Beverly B , Cabañelez Oscar B , Mirasol Joy M
Published: October 2022

This paper determined the implementation of the Corporate Social Responsibility (CSR) of the agri-business firms in Bukidnon. Specifically, it sought to identify the CSR projects that are being implemented by the firms, the manner they are implemented, the benefits of these CSRs, and the policies that can be generated based on the analyses of the findings. The results showed that the agri-business firms have been implementing several projects related to environmental protection, education, and training, community development and enhancement of local employment. Some of the firms are documenting the implementation of their CSRs while others disclose that they still have to measure the social impacts of their projects. Hence, one of the recommendations of the study is for the companies to employ an evaluation and monitoring mechanism to keep track of the progress and impact of their CSR programs. Keywords:  corporate social responsibility, agri-business firms, education and training, community development, environment protection, job generation, health and wellness
A Social Behavior Model for the Determination of Influences in Indigenous Peoples’ Acculturation
Authors: Dinlayan III Lorenzo B , Manlagaylay Mariza P , Generato Rosanna S
Published: October 2022

The study aimed to determine the parameters influencing the indigenous peoples’ (IPs) acculturation using social behavior model. It demonstrates how another self is taken into account in one’s acts, actions, or practices that affect acculturation. Using a 3-factorial design, the model suggests that acculturation is influenced by three aspects namely, the number of non-IPs in social contact with IPs, the length of social contact with non-IPs, and the length of time spent living in the IP community. Based on the results, it is most evident that having more number of social contacts with non-IPs, spending a longer time in social contact with non-IPs, and having lesser time living with IP community would result to high acculturation. On the other hand, having less number of social contacts with non-IPs, less time in social contact with non-IPs, and more time living with IP community indicate low acculturation. However, it revealed that more social contacts with non- IPs resulted to greater effect on acculturation. Further, the occurrence of acculturation lessened if IPs would live longer in their respective IP communities.
Determining Factors Contributory to Global Peace
Authors: Remo Lynn M , Agurob Manuel Chad G , Lazos Johnny G
Published: October 2022

This paper aimed at determining which of the Global Peace Index (GPI) indicators would significantly affect the internal and external peace of 162 countries. This was done by investigating the change of state from natural to normal. The data were obtained from the annual report of the GPI done by the Institute for Economics and Peace (IEP) from 2008 to 2015. The result showed that the peacefulness of the countries can be attributed to the internal factors followed by the external factors. The deterioration of peacefulness can be first brought about by political instability. Various armed factions begin competing for influence in the power that lead to civil war. Violent crime, homicide rate, terrorist activities and the Political Terror Scale, followed substantially. To repress the population and fight the rebels, the government would increase the number of internal security officers, police, and army. Most of the external factors would also worsen because of these conflicts. Relations with neighboring countries would remain extremely tense. They would struggle to accommodate the flood of refugees. Interventions of United States (US) and other allied countries would have to take place.
Population Growth versus Job Generation: Addressing Economic Disparity in the Philippines
Authors: Gue Isa Pab Geen P , Muegue Rea Rita R , Saniel Demetria May T
Published: October 2022

Economic disparity, inequality, and poverty have been central when examining the challenges of employment generation, better quality of employment, and decent way of life. This study explores the possible dynamics from an economic perspective resulting from the job-seeking behaviour of the graduates and job generation. Changes in the characteristics of the work location areas shows a variation in the number of areas each job seeker looks at when choosing a place that optimizes the jobseeker’s utility and the options of employment created in the country. The research paper utilized the NetLogo, a multi- agent programming language and modeling environment for simulating complex natural and social phenomena. Specifically, the Economic Disparity NetLogo Model simulates the Philippine context using the socio-economic status of the agents to determine how their preferences for choosing a location to live impacts on employment conditions. In the study, the work location area is affected by variations in the two factors, Factor A being the number of location each job seeker looks at when choosing a place that optimizes the jobseeker’s utility, and Factor B being the number of places of employment created in the country. Four scenarios are simulated by the model when the two factors are set at low or high levels to determine the time for a job location to become saturated. The variation of the factors created four scenarios. Scenarios B and D with large job seeker population and more places of employment created took 28 years to reach job saturation point. Scenarios A and C with a small jobseeker population and few places of employment created took 11 years. In all scenarios, the saturation point reached 14 ticks.
An Agent- Based Model on the Potential of a Dipterocarp Forest Fire
Authors: Egar Maritez M , Arbutante Desiree Christine C , Cauilan Judith J
Published: October 2022

This study assessed the extent of flammability potential of a dipterocarp forest area considering the parameters on tree density and the probability of spread of fire. Specifically, it aimed to establish a picture on the potential of a dipterocarp forest fire with varied tree densities and probability of spread. The study also aimed to determine if there is a significant effect of tree density and the probability of the spread of forest fire to the percent of area burned, and creates implications for the planning of the intervention strategies for the control and prevention of forest fire. The Fire Simple Extension 1 Netlogo model of the Agent- Based Modeling was used in this study. This simulation system gave information as to the flammability potential of a forest, a dipterocarp forest in this case, taking into account the influence of tree density and probability of spread. The findings of the study revealed that the percent of area burned is dependent on tree density and the probability of spread. On the other hand, the spread of fire has a greater influence on the percent of area burned than the density of trees. If the probability of spread is low, the percent of area burned is constant in both low and high dense areas. With a very low percentage of the spread of fire, the fire will have a negligible effect(less than 2%) on a particular area regardless of tree density. Setting the density lower than 55% in the slider will result in a very minimal destruction of the forest. Data also reveal that a less dense area will have a greater surface area burned compared to a high dense area considering a low spread of fire.
Outcomes-Based Curriculum Model for Bachelor of Science in Mathematics
Authors: Dales Zita I , Mirasol Joy M , Frias Marlon S
Published: October 2022

This study analyzed the existing Bachelor of Science in Mathematics Curriculum of the Bukidnon State University. The analysis started with the review followed by the proposed revision considering the internal and external factors. Internal factors included the level of difficulty, teachers, and facilities. The external factors considered the employability of the graduates, salary, and upward mobility in the position. It formulated three possible curricula with ascending variations from the existing one. Using the Total Probability Theorem (TPT), it came up with a model considered to be the most feasible curriculum of Bachelor of Science in Mathematics. Developing a Curriculum (DACUM) and Outcomes- Based Education framework were used to revise the existing curriculum.
Pathological Fear of Students in Mathematics: Gender Differences
Authors: Cadorna Edelyn A , Taban Joseph G , Gavino Marieta
Published: October 2022

The study explored the pathological fear in Mathematics of male and female college students. The study utilized the mixed method of research with 199 first year non-Math students as participants to determine the causes, effects, and ways of overcoming this fear. It made use of the cross-sectional design to explore the strategies of overcoming this pathological fear among the students. Results revealed that the students fear Math because of the influence of their friends, personal capacity, and the complex nature of Math. The male and female students differ in the prime cause of pathological fear. The cause as identified for the males is nature of the subject while personal capacity for the females. The students’ fear in Mathematics affects their performance in the subject. The main effect of the students’ fear in Math is recalling what had been learned when preparing for an examination. As a way of overcoming this fear, the female students cited that the teaching of mathematics should be made enjoyable. The male students suggested that they should be taught how mathematics is applied in everyday life situations. The students also need their parents’ support, encouragement, and motivation. On the part of the teachers, the students suggest the use of appropriate teaching strategies to make mathematics learning more meaningful.
Collaborative Skills of Pre-Service Teachers
Authors: Gonzales Merlyn G , Dinagsao Amparo V
Published: October 2022

This paper analyzed students’ perception of collaborative skills. Students were askedwhich areas on collaborative skills they needed improvement on and the challenges theyhad experienced in working with others. One hundred forty-seven first year studentsfrom the pre-service teachers’ program with majors in mathematics and physical scienceswere selected as the participants of the study using the purposive sampling method. Aquestionnaire was used for data collection. This study applied the descriptive researchdesign.Results of the study indicated that students developed some aspects of collaborationbut there was an area needing enhancement. The collaboration skills developed amongstudents were being sensitive in taking opinions from others, working in a positiveenvironment, giving positive to one another in order to improve as a group, acknowledgingthe works of others with compliments’, and understanding other’s point of view. The areaneeding improvement were on communication and interaction skills in order to motivateother members to share their thoughts and ideas.
Disaster Risk Reduction and Management Mechanisms for School-Aged Children in Flood and Landslide Vulnerable Areas in the Province of Bukidnon
Authors: Abejuela Hazel Jean M , Ejem Lynnette A , Del Rosario Ann Sheila C
Published: October 2022

This study assessed the disaster risk reduction and management mechanisms of schools in the province of Bukidnon, analyzed the adequacy and gaps of the disaster risk reduction and management mechanisms implemented in schools, and proposed a model of school-based disaster risk reduction and management network. The findings showed that the five priority actions established by the Hyogo Framework for Action on which the Department of Education Manual was anchored were not substantially achieved. Moreover, the DRRM mechanisms on disaster prevention, disaster mitigation, and disaster preparedness were fairly adequate, while disaster preparedness was somewhat adequate. Based on the findings, an integrated model of school-based disaster risk reduction and management (SBDRRM) network of vulnerable communities was proposed emphasizing a bottom-up approach, three-focal point system representing the susceptible areas under the school divisions of Bukidnon, Malaybalay and Valencia, multisectoral collaboration, and inclusion of DRRM in school curricula.
Development of Disaster Risk Management and Mitigation Extension Program for School-Aged Children in the Province of Bukidnon
Authors: Toledo Rachel Joan T , Tantoy Omar A , Paraiso Rhondell M
Published: October 2022

Existing and emerging disaster-risks for school-aged children served as the primary consideration for the conceptualization of this study. Using the Sendai Framework for Disaster Risk Reduction 2015-2030, this study analyzed the needs of the clientele, designed, and developed a DRRM extension program for school-aged children, and implemented and evaluated the program. The study involved school administrators, teachers, parents and their school-aged children in five landslide and earthquake-prone barangays in Bukidnon. Data were gathered through questionnaires, interviews, and FGDs. The needs were the basis for the design and development of the DRRM extension program for school- aged children. The training program included lessons on introduction to DRRM; DRRM in school, child-centered DRRM and CEPC, conduct of drill, and, managing emergencies and disasters.
Community-Based Disaster Risk Management in Flood and Landslide-Prone Areas: Exploring the Lived Experiences of Residents in Bukidnon
Authors: Dales Zita I , Salvan Elson P , Paulican Apolinar T
Published: October 2022

Appropriate implementation of community-based disaster risk management is desirable as flooding and landslide in Bukidnon is becoming more hazardous intensified by climate change, poor drainage, and expanding agricultural industries. The lived experiences of the residents in flood and landslide-prone areas in the province during the year 2017-2018 provides the empirical basis for strategies to enhance the implementation of Community-Based Disaster Risk Management (CBDRM). The study utilized an interpretive phenomenological research method. The instruments used in the study were the motive questions for the focus group discussion (FGD) and key informant interview (KII) guide questions. There were one hundred fifty (150) participants coming from the six (6) barangays of the (5) five municipalities identified as prone to flooding and landslide. Findings showed that the existing risk management practiced by the residents and the local government unit (LGU) is the top-bottom approach. The coping strategies used were risk communication and relief assistance from LGU. A comparison of the existing approach to the Community-Based Disaster Risk Management (CBDRM) approach revealed that in CBDRM, a community can be organized to experience a ‘real community’ participation to avoid and reduce the damage caused by flooding and landslide. The involvement of vulnerable people with the determination of roles and responsibilities before, during, and after flooding and landslides would make them realize the significance of their active participation for resiliency. Thus, a CBDRM model was developed so that at-risk communities can actively engage in the identification, planning, analysis, monitoring, and evaluation of disaster risks to reduce their vulnerabilities and enhance their capacities. An extension activity is proposed to implement the CBDRM model.
Health Risk Assessment of Residents in Disaster-Prone Areas in the Province of Bukidnon
Authors: Barroso Carina Joane V , Cuenco Ma. Algerica T
Published: October 2022

The increasing incidence of calamity calls for the development of modeling and prediction indicators to assess the impact of disaster on health. The study evaluated the health risk of residents through the development and validation of the DRR mathematical model for health in disaster-prone areas in the Province of Bukidnon. The model measured the extent of the hazard, exposure, vulnerabilities, adaptive capacity, and disaster risk reduction of residents affected by the disaster. This study focused on five disaster-prone barangays in Bukidnon.Using the mixed-method design, results revealed that themes and derived meanings from literature created qualitative risk estimation and disaster risk reduction model for health. The DRR parameter was found to be consistent with the observations conducted in various barangays in Bukidnon. The application of DRR model revealed that Barangay Batangan has the highest risk reduction despite having the highest magnitude of risk among the five barangays.
PSO-based ViT-Seismic: A Vision Transformer Approach for Gas Detection in Seismic Images
Authors: Dias Junior Domingos A. , Cruz Luana B. , Diniz João O. Bandeira , Silva Aristófanes Corrêa , Paiva Anselmo C. , Gattass Marcelo
Published: October 2022

Seismic reflection is one of the geophysical methods most used in the oil and gas (O&G) industry for hydrocarbon prospecting. In particular, for some Brazilian onshore fields, such a method has been used for estimating the location and volume of gas accumulations. However, the analysis and interpretation of seismic data is time-consuming due to the large amount of information and the noisy nature of the acquisitions. In order to help geoscientists in those tasks, computational tools based on machine learning have been proposed considering Direct Hydrocarbon Indicators (DHIs). In this study, we present a methodology for detection of gas accumulations based on vision Transformer neural network (ViT) and Particle Swarm Optimization (PSO) scheme. In the best scenario, the proposed method achieved a sensitivity of 75.14%, a specificity of 96.14% and an accuracy of 95.60%. We present some tests performed on Parnaíba Basin which demonstrate that the proposed method is promising for gas exploration.
Identification of risk areas as a method of surveillance of dengue cases
Authors: Lopes Gesiel Rios , Pelarigo Karina Jorge , Delbem Alexandre C. B.
Published: October 2022

Identifying spatial clusters of risk for dengue cases according to social vulnerability constitutes a powerful tool for effective epidemiological and urban management. In this way, this work carries out an ecological study that considered confirmed cases of dengue and actions of endemic agents in the municipality of São Carlos-SP, in the year 2019, through the application of the spatial scan technique for classification of the risk areas, computing the relative risk (RR), with a confidence interval of 95% (CI95%:) and the São Paulo Social Vulnerability Index (IPVS) to characterize these areas. Seven clusters were identified, two of which were high risk (RR=37.54 / RR=33.39), with the highest risk located in a region with high vulnerability and the second in a region with very low vulnerability. These results provide information that allows the targeting of specific control actions from the early detection of cases in places with greater dengue transmissibility.
Detecção de uso de máscaras em ambientes fechados com MobileNetV2 e Single Shot Multibox Detector
Authors: Ferreira Paulo Fernando Neres , Gomes Junior Daniel Lima , Santos Alex Martins
Published: October 2022

Este artigo apresenta uma aplicação de aprendizado profundo para detecção de pessoas utilizando máscaras faciais em ambientes fechados. Com o advento da pandemia da Covid 19, a necessidade de tomar precauções para diminuir e controlar o avanço da pandemia é essencial. Entre essas precauções, o uso de máscaras tornou-se importante para reduzir as taxas de contágio. O sistema apresentado é capaz de detectar o uso correto de máscaras em ambientes fechados usando mobilenetV2 como extrator de características e SSD como detector de objetos, junto de tecnologias como TensorFlow, Keras, OpenCV e Python. Os resultados mostram performances razoáveis utilizando curto período de treinamento, baixo poder de computação e densidade de dados.
Estratégias de Controle para Sintonização Ótima de PSS Utilizando Crow Search Algorithm
Authors: Costa Filho Raimundo N. D. , Pereira Éder D. C.
Published: October 2022

Este trabalho aplica três diferentes estratégias para sintonizar os parâmetros Power System Stabilizer (PSS) em sistemas elétricos multimáquina. A diferença entre as três estratégias fundamenta-se no número de variáveis de decisão utilizadas no processo de otimização, enquanto que a função objetivo almeja maximizar o amortecimento mínimo do sistema elétrico considerando vários pontos de operação. A técnica de otimização empregada é a metaheurística denominada de CSA (Crow Search Algorithm). O CSA é uma recente metaheurística que é baseada no comportamento inteligente dos corvos. Os resultados e discussões são obtidos com o emprego de um sistema elétrico de 5 geradores e 7 barras.
Análise de Algoritmos de Aprendizagem de Máquina para Previsão de Precipitações para Utilização na Agricultura Familiar
Authors: Mesquita Iago Magalhães de , Carneiro Francislane Teles , Alves Sarah Frota , Albuquerque Leonardo Tabosa , Aragão Francisco Aldinei Pereira
Published: October 2022

Este trabalho tem como proposta uma análise de dados de elementos meteorológicos como: precipitação total (mm), pressão atmosférica ao nível da estação (mb), temperatura do ar - bulbo seco (°c), umidade relativa do ar (%), direção do vento (°gr), velocidade do vento (m/s), buscando prever a precipitação e testar modelos de Aprendizado de Máquina que melhor se adaptem ao conjunto de dados utilizados, sendo estes: K-Nearest Neighbor (KNN), Árvore de decisão e a rede neural Multilayer Perceptron (MLP), com o objetivo de identificar o melhor modelo aplicado a previsão de chuvas aplicados na região de Sobral-CE. A proposta tem como objetivo ajudar os pequenos e médios produtores agrícolas, que estão relacionados intrinsecamente aos aspectos econômicos da região, que sofre com estiagens e precisam gerir seus recursos hídricos. Diante dos modelos utilizados, a árvore de decisão obteve melhor resultado com uma taxa de acerto de 99.995%, e a MLP de 99.693%, já o KNN obteve apenas 76.726%.
Um Método Baseado em Radiomics e MLP para Diagnóstico Automático de COVID-19 a partir de Raio-X de Tórax
Authors: Sousa Filho Emanuel L. C. de , Magno Paulo G. S. , Santos Camyla J. P. , Silva Giovanni L. F. da , Diniz João O. B. , Quintanilha Darlan B. P.
Published: October 2022

A identificação da COVID-19 é um fator crucial para o tratamento e cura dos pacientes. Com o avanço da tecnologia, tornou-se possível o desenvolvimento de métodos computacionais capazes de auxiliar os especialistas na tarefa de análise de imagens médicas. Portanto, o presente trabalho tem como objetivo desenvolver um método automático de diagnóstico da COVID-19 por meio de imagens de raio-X do tórax usando uma abordagem Radiomics e o algoritmo Multi-Layer Perceptron. O método proposto foi avaliado em duas bases de imagens públicas, obtendo uma acurácia de 96,8%, precisão de 97,1%, recall de 96,4% e especificidade de 97,9%, com isso, demonstrando a eficácia no diagnóstico automático da COVID-19 por imagem.
Introdução à Internet das Coisas Musicais: Prática utilizando Pure Data e Processing
Authors: Costa Rômulo Augusto Vieira , Muchaluat-Saade Débora , Schiavoni Flávio
Published: October 2022

The Internet of Musical Things is an interdisciplinary area that draws on principles from computer science and music. It proposes new interactions in art shows, opening new paths for collaborative activities, besides being useful in the teaching these concepts. Despite all these advantages, this area is still unexplored, mainly because it is a novelty and presents several open issues. This work, therefore, aims to exploring the potential of this technology, presenting tools that can be useful in the development of your systems, such as Pure Data and Processing.
Sistema de Gerenciamento de Certificados
Authors: Andrade Matheus C. , Bertoldi Lucas N. , Silva Alexandro S. , Matos Pablo F.
Published: October 2022

In view of the variety of events that take place today, there was a need for online integration between participants and the organizing committee. For this, websites are used that gather user data, information about events and other functionalities, one of which is the generation of certificates. The Federal Institute of Bahia Campus of Vitória da Conquista has a certificate management system, developed in an architecture that is currently obsolete due to limitations in terms of scalability, performance and difficulty of updating. This paper presents a new approach for issuing and validating certificates, detailing how it was developed. We used the microservices architecture, which has advantages over the old system, in addition to the replacement of the relational database by the non-relational database. It is also proposed an approach to the infrastructure to be used by the project.
What Makes a Book Successful? A Study on Portuguese-language Literature
Authors: Scofield Clarisse , Silva Mariana O. , Moro Mirella M.
Published: October 2022

Analyzing the success of books is a matter of interest among publishers, professional book reviewers, expert writers, and even curious readers. Such a task has many influencing factors concerning the intrinsic content and quality of the book (e.g., interest, novelty, writing style, and engaging plot) and others regarding external factors such as social context, author relationships, and luck for publication. Faced with so many variables, recognizing a successful literary work is a challenging endeavor even for specialists in the publishing market. Our objective is: to explore a dataset of books in the Portuguese language created to obtain more knowledge about the different variables of success in the literary context; to understand and evaluate the metrics collected that indicate new perceptions about books using graphical views.
Multilayered Analysis of Urban Mobility
Authors: Gubert Fernanda R. , Munaretto Anelise , Silva Thiago H.
Published: October 2022

This study analyzes the urban mobility of Curitiba through the use of public transit by the population divided into socioeconomic strata. To study the established mobility graph and its spatio-temporal patterns, a multilayered approach called Multi-Aspect Graph (MAG) with four aspects is applied. The results detail patterns that cannot be observed in a traditional graph, such as the most frequent routes and the most central points of the city, taking into account all the modeled aspects. The model used allows a strategic understanding of the use of the beneficial public transit system for different applications, such as actions in emergencies and outbreaks of rapidly contagious diseases.
Automated Content Moderation in a Brazilian Marketplace
Authors: Zandavalle Ana Claudia , Nascimento Victor do , Gadelha Carolina , Gama Tatiana , Zagatti Fernando , Nildaimon Lucas , Barbirato João Gabriel Melo , Real Livy
Published: October 2022

Clarifying doubts can become decisive when shopping on e-commerces platforms. Considering the relevance of user generated content, this work aimed to develop an internal hybrid system, composed of machine learning models along-side a rule-based module, to moderate customers’ questions and sellers’ answers in one of the biggest marketplaces in Brazil.
Benchmarking Session-based and Session-aware Recommender Systems for Jusbrasil
Authors: Domingues Marcos Aurélio , Moura Edleno Silva de , Marinho Leandro Balby , Silva Altigran da
Published: October 2022

In this paper, we present a benchmark of several session-based, session-based with reminders and session-aware recommender systems that can be used to improve legal document recommendation in Jusbrasil, the largest legal search engine in Brazil. We focus this benchmark on the logged users, and the results show that some recommender systems can achieve gains of accuracy of around 19% with respect to the current recommender system adopted by Jusbrasil.
Investigation of Dynamics of a Pipe Robot with Nonlinear Interactions of Its Elements
Authors: RAGULSKIS Kazimieras , SPRUOGIS Bronislovas , BOGDEVIČIUS Marijonas , MATULIAUSKAS Arvydas , MIŠTINAS Vygantas , RAGULSKIS Liutauras
Published: October 2022

Systems in which vibrational displacements are limited because elastic forces increase practically up to unlimited values, are investigated. Here systems having one degree of freedom are investigated in which vibrations have specific qualities for the case of conservative systems as well as for the case of forced harmonic excitations. Typical expressions for nonlinear stiffness are proposed. Model of a pipe robot with limited values of displacements is presented and investigated. The model has two degrees of freedom: the displacement of the vibrating mass inside the pipe robot and the displacement of the pipe robot itself. Motion of the pipe robot in the negative direction as well as motion of the pipe robot in the positive direction for different parameters of the system is observed. For high amplitude of excitation, the distance travelled by the pipe robot is much greater than for low amplitude of excitation. The obtained results are used in the process of design of pipe robots.
The Theoretical Value for the Tip Radius of Cracks and Notches
Authors: SARACOGLU Goksel
Published: October 2022

In this paper, using Creager and Paris's blunt elliptical hole stress distribution area equation, it is applied to crack and circular hole shaped defects using the theoretical radius value, which equalizes the maximum stress at the defect tip in terms of value to fracture toughness. By providing value equality, critical fracture stresses of all defect dimensions and tensile strength of the material were determined with a single mechanical test data. Compared with the predictions of other methodologies, it was determined that the obtained data gave results closer to the experimental values.
„term limits“: Amtszeitbeschränkungen für Bürgermeister
Authors: Holtkamp Lars , Gehne David H. , Müller Frederik
Published: October 2022

Besonders in kleineren Städten und Gemeinden sind Bürgermeisterwahlen häufig kaum noch als Wahlen zu bezeichnen. Nicht selten treten dort gerade Amtsinhaber konkurrenzlos an, weshalb die Bürger nur noch über die Fortsetzung der Tätigkeit des amtierenden Bürgermeisters entscheiden können. Eine geringere Wahlbeteiligung sei - so die gängige These - oftmals die Folge, was demokratietheoretisch sicherlich bedenklich ist. Auch in NRW zeigen sich, wenn auch nicht flächendeckend, Tendenzen zu Wahlen ohne Auswahl - vor allem in kleineren Kommunen. Hier setzt die Forderung nach einer Einführung von Amtszeitbeschränkungen für Bürgermeister an. Term limits könnten nicht nur den politischen Wettbewerb revitalisieren und ggf. die Wahlbeteiligung erhöhen, sondern ferner auch einen Beitrag gegen Korruption sowie zur stärkeren Repräsentation unterschiedlicher Gesellschaftsgruppen leisten. Es ist daher höchste Zeit, ernsthaft über entsprechende Reformen zu diskutieren.
Nachhaltigkeitsberichterstattung kommunaler Wasserversorgungsunternehmen
Authors: Bauer Philumena , Greiling Dorothea
Published: October 2022

Der Beitrag widmet sich der Nachhaltigkeitsberichterstattungspraxis deutscher kommunaler Wasserversorgungsunternehmen. Dies ist, auch international betrachtet, noch ein sehr junges Forschungsfeld. Mittels einer Dokumentenanalyse von 63 Berichten wurde die Berichterstattungspraxis über die wesentlichen Aspekte analysiert. Um den kommenden regulatorischen Anforderungen hinsichtlich der Nachhaltigkeitsberichterstattung besser zu genügen, sollten kommunale Wasserversorger ihre Nachhaltigkeitsberichterstattung ausbauen und diese proaktiv zur Dokumentation ihres Nachhaltigkeitsbeitrags nutzen.
Co-Crystallization of Plant-Derived Antimalarial Drugs: An Alternate Technique for Improved Physicochemical Qualities and Antimalarial Drug Synergy
Authors: Makuvara Zakio
Published: October 2022

Malaria is a complex disease associated with a variety of epidemiology and clinical symptoms worldwide. Despite the availability of a variety of antimalarial medications, national policies of many countries advocate for a single-medication first-line therapy for the majority of clinical malaria symptoms. However, the studies revealed that using multiple first-line medicines against malaria works more effectively. In this scenario, single-target monotherapy approaches have difficulties since malaria symptoms are seldom caused by single molecular entities. The current work is based on the critical literature review and primary sources as well as secondary databases. The chapter outline is as follows: (1) main antimalarial plant-derived active pharmaceutical ingredients (APD-APIs), (2) limitations of single APD-APIs and shift to multiple first-line therapies in malaria treatment, (3) techniques in the development and properties of APD-APIs co-crystals. The search for novel plant-derived antimalarial medicines and the development of antimalarial co-crystals are essential in the fight against antimalarial drug resistance.
Perspective Chapter: Orbital Reconstruction and Orbital Volume
Authors: Eldek Yousry , Sleem Heba , Katamesh Mohamad , Hasanin Fahmy
Published: October 2022

Orbital fractures are common presentation in the head and neck trauma centers. They can result in functional and esthetic problems. The primary goal in the repair of the orbital fractures is to restore the orbital shape and volume, free the incarcerated or prolapsed orbital tissue from the fracture defect, and span the bony defect with reconstructive implant material. Titanium mesh was very appropriate reconstructive material for anatomic reconstruction. The orbit has a special complex geometry which makes perfect anatomic reconstruction very difficult. The manual process of fitting and adapting the implant within the orbit is time consuming and operator dependent. The advanced techniques in maxillofacial imaging and computer assisted techniques resulted in improvement in the implant design for management of orbital fractures. The current study was made to review the accuracy of adapting the titanium mesh using STL model versus conventional technique for restoring the orbital volume in management of orbital floor fracture.
A View of Sub-Saharan Africa from the Perspective of Food Security and Gender
Authors: Marius Charlot Adenidji Eriola , Özçatalbaş Orhan
Published: October 2022

Nowadays, in most households, food and nutrition affairs are delegated to women. However, in the sub-Saharan regions, like the most undeveloped countries, food security is still in danger. Such a situation is not observed in developed countries. Why so? Is women’s positive contribution to food security only reserved for developed countries? How can women in less developed countries intervene in food security? This paper analyses food security from a gender perspective and focuses on women’s participation and empowerment as means to eradicate food insecurity.
Two-Rail Photonic Qubit Utilizing the Quantum Holographic Imaging Idea
Authors: Wereszczyński Kamil , Cyran Krzysztof
Published: October 2022

We present the novel approach to physical implementation of qubits with the technology of photonic chips. Proposed multi-rail qubit model, called QBell, utilizes hyper-entanglement to work in Decoherence Free Subspace on physical layer. This makes this solution robust and can result in increasing fidelity of quantum circuit used in this model. We elaborate the two-rail case. We define the QBell and discuss its internal structure. We construct also one- and two-qubit gates to make the model comprehensive and ready to implement. Proposed model utilizes the early-stage ideas for optical quantum computation, but by using the polarization and position entanglement as the resource of computation allows to avoid the general problem of them, like heralded photon technique. The technology of photonic chips allows to brake other limitations that are pointed in the text. The presented model was inspired by quantum holographic imaging and uses the holographic technique for implementing the z-rotation operation. The final product will be the photonic quantum processor using multi-rail qubits. It will find the application in many domains (e.g., medical) on earth and in the space.
The Effect of Different Adhesive Types on Failure Load
Authors: Birecikli Bahadir
Published: October 2022

In this study, bonding joint with double zigzag type geometry was used. There are four types of overlap angles in the bonding geometry: 30°, 45°, 60° and 75°, respectively. Composite materials that are made of glass fiber have been used in this adhesive bonding geometry. These materials were produced by using prepreg (pre-impregnated) technique and [0°/90°] of orientation angle. Thickness of composite material is 3 mm. Ductile and brittle-type adhesives were used for the bonding joint. DP460 adhesive type shows ductile material properties while ATLAC580 adhesive type shows brittle material properties. The effect of adhesive type on the failure load was investigated experimentally. Test results demonstrated that failure load values were higher in the ductile-type adhesive.
Fluorescent Dextran Applications in Renal Intravital Microscopy
Authors: R. Corridon Peter
Published: October 2022

Dextrans, which is a generic term used to describe a family of glucans, are branched polysaccharide molecules derived from lactic acid bacteria in the presence of sucrose. These complex branched glucans have various uses in the medical industry, including plasma expanders and anticoagulants, and have also been investigated for their utility in targeted and sustained delivery of drugs, proteins, enzymes, and imaging agents for renal applications. Simultaneous advances in renal intravital microscopy have brought several advantages over in vitro and ex vivo models by providing real-time assessments of dynamic processes at the cellular and subcellular levels. Such advances have been used to support regenerative medicine strategies. Consequently, this chapter aims to provide an overview of how fluorescent dextrans have supported renal gene and cell therapies and evolving tissue engineering techniques.
Resveratrol: A Promising Antiaging Agent for Cosmetic Skin Treatments
Authors: Fidalgo Javier , Novo Barros Ana , Casas Ana
Published: October 2022

Nowadays, resveratrol, a polyphenolic phytoalexin is increasingly included in the formulas of cosmetic products and dermatology as an active ingredient, as a consequence of the well-known health beneficial properties, namely antioxidant, anti-inflammatory, anti-viral and anti-bacterial effects. This important compound can be biosynthesized naturally by plants or by industrial synthetic processes. Apart from its anti-inflammatory and antioxidant effects, a broad spectrum of effects has been attributed to the use of this compound such as anti-aging, skin-whitening, anti-angiogenic, collagen I and III stimulation (in fibroblasts) and estrogen-like effects, as well as the ability to protect cells against hydrogen peroxide-induced oxidative stress and UV-irradiation-mediated cell death. In cosmetology and dermatology has been popular because of its ability to penetrate the skin barrier and its anti-aging activity. In fact, resveratrol as an important impact on the regulation of inflammation and, as consequence, repair-related processes in skin. Furthermore, when administered either topically or orally has been proven to be safe and also to overcome the skin barrier. This review will focus in its potential application on melasma treatment and in photo-aging. Resveratrol chemistry, pharmacology, mechanism of action and evidence of its efficacy as photo skin aging protector and its potential use in melasma is discussed.
Acoustic and Thermal Analysis of Food
Authors: Aguilar-Torres Daniel , Jiménez-Ramírez Omar , A. Jimenez-Garcia Juan , A. Ramos-López Gonzalo , Vázquez-Medina Rubén
Published: October 2022

Exploring the food acoustic features can help to understand and effectively apply some preservation treatments that extend their expiration date. The food composition and properties are crucial issues in their acoustic behavior when stimulated with acoustic waves. If these waves are varied in frequency and intensity, the temperature of food could be affected facilitating the moisture removal or degrading its nutritional condition. Therefore, we presented a guide to determine and apply the most influential spectral component of ultrasound waves on apple and tomato when dehydrated in an ultrasound-assisted dehydration system. In this guide, applying the finite element method, we study, simulate, and analyze the acoustic and thermic behavior of apple and tomato inside a chamber when radiated with acoustic waves at (1 Hz, 1 MHz) by using up to three piezoelectric transducers. From the physical parameters defined in the simulation environment for apple and tomato, we find the relevant spectral components that can produce temperature changes in each food sample considering the radiation time and the food sample location. This work represents an analysis guide that allows for determining the best conditions for the acoustic radiation of foods, avoiding their structural and nutritional damage, and seeking the design of energy-efficient processes.
Measuring openness to political pluralism
Authors: Shrout Patrick E. , Mogami Mao , Xu Qi , Ghodse-Elahi Yasaman , Mutter Elizabeth , Riccio Matthew T. , Valshtein Timothy J. , Baadan V. , Goudarzi Shahrzad
Published: October 2022

In an era of increased political polarization, it is important to measure how receptive US American citizens are to diverse political views. Being more open to diverse political viewpoints—openness to political pluralism—may involve holding emotional and intellectual tolerance, non-rigidity, and proactive motivation to seek out different political perspectives. In three preregistered studies of US residents, we present a new self-report measure of openness to political pluralism (OPP) consisting of 25 items. In Study 1 (MTurk n = 400), we verified a preregistered bifactor model with four facets, conducted initial validity analyses, and created a short five-item version (OPPS). Both OPP and OPPS have high internal consistency and test-retest reliability. In Studies 2 and 3, MTurk participants (n = 258) and Qualtrics panel participants (n = 296) completed OPP and measures of related constructs to validate our scale. OPP was modestly correlated with actively open-minded thinking (AOT) and highly correlated with open-minded cognition-political (OMC-P). Greater OPP was associated with an inverted U-shape relation to left-right political orientation. It was also correlated with more politically diverse social networks and varied information seeking. We discuss how our measure of openness to political pluralism can be used in future research.
The circadian clock controls temporal and spatial patterns of floral development in sunflower
Authors: Marshall Carine M. , Thompson Veronica L. , Creux Nicky M. , Harmer Stacey L.
Published: October 2022

Biological rhythms are ubiquitous. They can be generated by circadian oscillators, which produce daily rhythms in physiology and behavior, as well as by developmental oscillators such as the segmentation clock, which produces modular developmental units in a periodic fashion. Here, we show that the circadian clock controls the timing of late-stage floret development, or anthesis, in domesticated sunflower. In these plants, what appears to be a single inflorescence consists of up to thousands of individual florets tightly packed onto a capitulum disk. While early floret development occurs continuously across capitula to generate iconic spiral phyllotaxy, during anthesis floret development occurs in discrete ring-like pseudowhorls with up to hundreds of florets undergoing simultaneous maturation. We demonstrate circadian regulation of floral organ growth and show that the effects of light on this process are time-of-day dependent. Disruption of circadian rhythms in floral organ development causes loss of pseudowhorl formation. Thus, we show that the sunflower circadian clock acts in concert with environmental response pathways to tightly synchronize the anthesis of hundreds of florets each day, generating spatial patterns on the developing capitulum disk. This coordinated mass release of floral rewards at predictable times of day likely promotes pollinator visits and plant reproductive success.