bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of Discipline, Loyalty, and Work Motivation on Employee Performance in Financing Distribution at PT Permodalan Nasional Madani Pematang Siantar Branch Office
Authors: Pohan Hendi , Marsono Acong Dewantoro
Published: December 2024

This study focuses on PT. Permodalan Nasional Madani (PNM) Pematang Siantar Branch, with independent variables of discipline, loyalty, and work motivation, and the dependent variable being employee performance. The primary aim is to evaluate the impact of these three independent variables on employee performance in the context of financing distribution. The sample consists of 100 PNM employees from the Pematang Siantar Branch, selected using a census method, with data analysis conducted through SEM using SmartPLS. This includes multiple linear regression, correlation, and determination coefficients. Data were collected through questionnaires distributed to all sample participants. The study results indicate that discipline does not influence employee performance. However, loyalty has a positive and significant effect on employee performance, as does work motivation.
Analysis of the Influence of Open Unemployment Rate, Road Infrastructure Development, Inflation, and Economic Growth on Poverty Levels in Mataram City (2010-2023)
Authors: Ilmi Amalia , Jufri Akhmad
Published: December 2024

Although economic growth had started to improve at the time due to the World Superbike (WSBK) event being held in Mandalika, the rising poverty rate in Mataram has continued to fluctuate. For example, in 2021, the city's poverty rate increased. Economic growth, inflation, and the construction of transportation infrastructure all partially and concurrently contribute to Mataram City's poverty rate. Descriptive and associative quantitative methods are used in this study. Using multiple linear regression analysis methodologies, secondary and time series data from According to the study's findings, just one factor—inflation—had a substantial impact on the poverty rate in Mataram, whereas the open unemployment rate, road length, and economic growth had no discernible effects. The poverty rate in the city of Mataram is significantly impacted by the open unemployment rate, road length, inflation, and economic growth all at the same time. The development of MSMEs based on the creative economy, the creation of an appropriate city road network that will be more beneficial to the community's economy, targeted fiscal policies to lower the rate of inflation, and other suggestions are some ways the Mataram city government can try to alleviate poverty, and designing the right strategy to optimize foreign trade.
Optimizing the Role of the Young Generation in Environmental Preservation as a Form of National Defense: Reflections on the 79th Independence of the Republic of Indonesia
Authors: Pambudi Yonathan Suryo , Sudaryantiningsih Cicik
Published: December 2024

This article examines the strategic role of the younger generation in environmental preservation as a form of non-military national defense, with reference to the reflection of the 79th anniversary of Indonesia's Independence. This study uses literature reviews from various international sources indexed by Scopus and other reputable journals to explore the contribution of youth in environmental conservation and its relationship with national resilience. This article also discusses the methodology used in previous studies on youth and environmental conservation, as well as their impact on public policy. The method used is a literature review that focuses on the contribution of youth in environmental conservation programs and the use of green technology. The results of the study show that youth involvement is very important in strengthening national resilience, both through public policy, participation in conservation, and technological innovation. In addition, support from the private sector, NGOs, and the government is urgently needed to empower youth so that they can play an active role in strengthening national sovereignty and environmental sustainability. The research also highlights the great potential of the use of digital technology and social media to increase youth engagement in environmental movements and support the role of national defense.
The Effect of Online Transactions (E-Commerce) with the COD Payment System on the Income Guarantee of Culinary MSME in Mataram City
Authors: Ramadhani Dimas , Jumaidi Lalu Takdir
Published: December 2024

This research was conducted in West Nusa Tenggara Province, more precisely in Mataram City. The purpose of this study is to analyze how influential the use of online transactions (e-commerce) with the Cash on delivery (Cod) payment system on the income guarantee of culinary MSMEs in Mataram City. The research method used is quantitative research. This study uses primary data obtained through the distribution of questionnaires to respondents and has obtained a sample of 43 people (business actors). The estimation method used is multiple linear. The results show that the variables of E-commerce and Cash on delivery have an effect on the income of culinary micro, small and medium businesses in the city of Mataram. partially, the e-commerce and Cash on delivery variables have a positive and significant effect on the income of MSMEs in the city of Mataram.
The Influence of Technology in the Development of Information Systems on the Field of Management Accounting
Authors: Syamsuddin Syamsuddin , Permana Nalendra Bhayu , Sundari Sri , Nur Hamzah Fansyuri
Published: December 2024

The purpose of this article is to examine the impact of advancements in information technology on management accounting. The study employs descriptive qualitative methods and a literature review. Findings indicate that technological progress has led to significant transformations in the business sector. Various information systems now incorporate emerging technologies, including electronic data processing systems, data processing systems (DPS), decision support systems (DSS), management information systems (MIS), expert systems (ES), and accounting information systems (AIS). Information technology development also affects management accounting, as it generates information essential for planning, control, and decision-making processes. Consequently, the influence of information technology on management accounting can either benefit or challenge businesses.
The Role of Interreligious Theology in the Development of Christian Religious Education in the Era of Pluralism
Authors: Boiliu Esti Regina , Silitonga Boy Anto Ando
Published: December 2024

The era of religious pluralism presents challenges for Christian Religious Education to remain relevant. This article discusses the role of interreligious theology in the development of Christian Religious Education, identifying issues of interreligious tension due to exclusivity and internal resistance within the Christian community. The aim of this research is to explore the integration of interreligious theology to enhance understanding and tolerance among religions. Using a descriptive qualitative method with a literature study approach, the findings indicate that this integration can reduce prejudice and negative stereotypes, as well as facilitate inclusive dialogue. Interreligious theology has the potential to enrich Christian Religious Education by fostering an inclusive attitude. Its implementation requires a commitment from educators and policymakers to build peaceful education within a diverse society.
Implementation of Policy for Supervision and Control of Sales of Alcoholic Beverages in Jayapura City, Papua Province
Authors: Septinus Saa  , Abner Herry Bajari
Published: December 2024

The circulation of alcoholic drinks in Jayapura City is increasingly widespread and can even be said to be out of control. Alcoholic drinks are openly sold in shophouses adjacent to housing or residential areas of community members. The implementation of the Regional Regulation on Alcoholic Drinks in Jayapura City has not been successful in lowering the amount of alcoholic beverages in circulation. The purpose of this study is to determine what factors impede the implementation of the policy for supervision and control of sales of alcoholic beverages in Jayapura City, Papua Province, as well as issues pertaining to its implementation throughout the city. Descriptive and qualitative research methods were employed in this study. Techniques for documentation, interviews, and observation were used to gather data. The findings of the study demonstrate that this strategy may be effective provided it is backed by thorough and unambiguous policy text as well as an environment that is favorable to its implementation, such as agency cooperation, community involvement, and enough funding. However, a number of obstacles prevent theJayapura City's application of this policy, including economic and political interests that support the sustainability of the alcohol industry, a community culture that considers alcohol to be part of social tradition, as well as limited human resources and budget for effective supervision. Apart from that, the lack of understanding and consistency of implementing officials in enforcing policies is also a big challenge
Innovation in Baby Massage Services "Rembulan" (Relaxation for Healthy, Active, and Comfortable Growth) to Reduce Stunting Prevalence at Lontar Health Center, Surabaya
Authors: Ika Devy Pramudiana  , Sri Roekminiati  , Nihayatus Sholichah  , Sri Kamariyah  , Widyawati
Published: December 2024

This study aims to explore and analyze the effectiveness of the "Rembulan" baby massage service innovation at Lontar Health Center, Surabaya, in reducing stunting prevalence. This service enhances infant health and well-being through massage methods that support relaxation, optimal growth, and motor development. In the context of efforts to reduce stunting rates, the program focuses on infants and children under two years old who are at risk of malnutrition and growth delay. This research employs a qualitative approach with in-depth interviews, field observations, and secondary data analysis. Respondents include healthcare workers, parents, and stakeholders directly involved in the baby massage service. The results indicate that the "Rembulan" baby massage program increases infants' nutritional intake by boosting appetite, optimizing digestion, and improving sleep quality. These benefits contribute to better growth and development, reducing the risk of stunting. The study concludes that baby massage innovation has significant potential as a non-pharmacological intervention in public health programs. This service is effective when integrated with nutrition education and continuous health monitoring. Proper implementation can make baby massage a comprehensive solution in government efforts to reduce stunting prevalence in Indonesia
Police Preventive Strategy: The Effectiveness of Situational Crime Prevention in Controlling Prostitution Venues in Region X South Jakarta
Authors: Nurhadiyanto Lucky , Anorawi Rafi , Rozak Abdur
Published: December 2024

Prostitution is a complex and intractable social problem in many countries, including Indonesia. The Blok M area, located in South Jakarta, has long been known as the center of prostitution activities. The method used in this research is a qualitative method using interview techniques, observation and literature study. The result of this research is that the police encourage active participation of the community in reporting prostitution activities and providing useful information for investigation. In addition, the police try to raise public awareness about the negative impact of prostitution and provide rehabilitation and social assistance to victims of prostitution who want to get out of the cycle of violence and exploitation. Despite the police's efforts, the problem of prostitution in the Blok M area cannot be fully addressed overnight. Prostitution involves a wider range of social, economic and cultural factors. Therefore, cooperation between the police, government, and the community must be continuously improved to achieve sustainable results in eradicating prostitution and protecting the community from its negative impacts. By analyzing the police's efforts in controlling prostitution venues in the Blok M area, this research is expected to provide a better understanding of the challenges and strategies applied in combating the problem of prostitution and provide input for more effective policies and measures in addressing this complex social problem.
Character Education Values in the Legend of "Mount Lewotobi" in East Flores, East Nusa Tenggara, Indonesia
Authors: Banggor Yulianus Erson , Simanjuntak Nensy Megawati , Purnamasari Hetty
Published: December 2024

This study examines the integration of character education values in the Indonesian legend Mount Lewotobi from East Flores, East Nusa Tenggara. Character education is a fundamental aspect of human development, shaping morals and personalities to create more humane individuals, and local legends serve as valuable mediums for imparting ethical lessons. Employing a qualitative approach, this research utilized documentation as the primary data collection technique and applied Spradley’s cultural theme analysis model to analyze the narrative. Data validation was ensured through triangulation techniques. The findings reveal that the Mount Lewotobi legend conveys significant character education values, particularly in teaching ethics and manners. The study underscores the rich correlation between education and literature, emphasizing the potential of local wisdom as an effective medium for character education. By incorporating such narratives into educational curricula, students can connect with their cultural heritage while fostering moral and ethical growth, making local legends a vital resource for holistic education.
Human Resource Management in the Batik Industry: Evaluating the Role of Training and Development in Indonesia
Authors: Sholihin Teguh Adhe , Fazriyani Fanesha , Fadhilah Amalia Rachmawati Nur , Firdaus Shafira Maharani
Published: December 2024

The article titled Human Resource Management in the Batik Industry: Evaluating the Role of Training and Development in Indonesia" examines the impact of training and development programs on the competencies and productivity of workers in Indonesia's batik industry, primarily composed of micro, small, and medium enterprises. By analyzing qualitative data from literature over the past decade, the study highlights the benefits of human resource development through targeted training programs. These programs aim to enhance technical skills, managerial abilities, and innovative capacities among batik artisans. The findings indicate that effective training contributes to increased productivity, product quality, and competitiveness of batik MSMEs, ultimately supporting both local economic development and the preservation of Indonesia's cultural heritage. This research underscores the need for sustainable human resource practices in the batik industry to maintain its cultural significance and economic viability.
CRITICAL ELEMENTS IN SEQUENTIAL LEACHED PHASES FROM DEEP-SEA POLYMETALLIC NODULES AND SEDIMENTS
Authors: Hikov Atanas , Milakovska Zlatka , Lyubomirova Valentina Lyubomirova , Lihareva Nadezhda
Published: December 2024

The deep-sea metalliferous sediments and Fe-Mn polymetallic nodules formed in modern environment at the deep-sea ocean floor (> 4000 m depth) were evaluated as promising new raw materials, especially for critical elements as Li, Co, Cu, Mn, Ni, and rare earth elements (REE). We use � selective sequential leaching procedure to study the distribution of main and trace elements in sequential leached phases from deep-sea polymetallic nodules and sediments from the eastern part of the Clarion-Clipperton fractures zone, NE Pacific. Results show extraction of Mn in the leach 2 in both nodules and sediments. Cobalt, Ni, Cu, Zn have similar behavior because these elements are preferentially incorporated into MnO2 phases. The extraction of Fe, K, P and most of trace elements is different for leach 2, 3 and residual fraction for nodules and sediments. Partially extraction of Fe in leach 2 and the extraction of P from sediments in leach 2 attests to the presence of FeOOH and authigenic fine-grained phosphate component (apatite) which are intergrown with the Mn oxyhydroxides. The second group of elements (Al, Fe, Ti, K, Rb, V, Zr, Nb, Mo, Sb, W, Ba, U) represents a detrital (illite, kaolinite, chlorite, andesine, zircon, rutile) and authigenic (barite) composition and has higher content in the residual fraction in sediments. Part of these elements (Zr, Nb, Mo, U) as well as Sc, Y and REE have strong positive correlation with phosphorous and form the third group of elements which is bound in the authigenic apatite. The results will reveal the main factors that control the trace element concentration in both polymetallic nodules and sediments and help future extraction of these raw materials.
THE INFLUENCE OF SPATIAL, ECONOMIC AND SOCIAL TRANSFORMATION IN THE DEVELOPMENT OF A LANDSCAPE VALORISATION STRATEGY
Authors: Ivanov Metodi
Published: December 2024

The aim of this paper is to assess the impact of spatial, economic and social transformation and their influence on the development of a landscape valorization strategy, in terms of the possibilities for implementing structural changes in the territory of a country, through which structural changes to support the introduction of new technologies and innovations, resulting in a change in the sectoral structure of a country's economy. On the other hand, by assessing the impact of social transformation, an explanation will be sought for a number of processes related to the motivation to upskill the workforce in different regions, and possible ways of stimulating them will be sought by creating opportunities to improve the existing business environment in lagging regions in developing countries. An assessment of the role of spatial transformation is necessary in view of creating the conditions to stimulate investment in lagging regions, and to achieve sustainable development through a balanced use of available resources. On the other hand, the need to develop a strategy for the valorisation of the landscape should be highlighted in the light of an assessment of spatial, economic and social transformation, in the context of the objectives set by a number of countries to achieve the transition to a low-carbon and digitalised economy. This process, on the other hand, implies considerable efforts to increase the digital skills of the population, which will have an impact on the development of personal and collective incentives for the development and application of innovation in the socio-economic life of the population in the regions. On the other hand, the need to develop a valorisation strategy for the landscape is underlined by the search for opportunities to increase investment in green technologies in productive activities.
Estimation of Organ Dose, Effective Dose, and Cancer Risk in Abdominal CT Scan Patients
Authors: Putri S. S. , Intifadhah S. H. , Putri E. R.
Published: December 2024

Computed tomography scan (CT scan) is a modality that is used to diagnose diseases inside the human body. In the scanning process, the patient will receive radiation from the CT scanner, so that it is necessary to calculate the amount of radiation dose. The purpose of this study was to determine the organ dose, effective dose, and cancer risk received by abdominal examination patients. Data taken from the results of abdominal examination patients at Radiology Installation of A.W. Sjahranie Regional Hospital Samarinda using 16-slice CT scan modality GE BRIVO type D3161T. The data collected included 150 patients, both female and male, with ages ranging from 15 to 79 years. Dosimetry parameters taken from CT scan results are the exposure factor (kV, mAs), scan length, computed tomography dosimetry indeks volume (CTDIvol), and dose length product (DLP) of the patient. CTDIvol and DLP of the patient are used to calculate the organ dose, effective dose, and cancer risk values of abdominal CT scan patients. Then the effective dose value received by the abdominal CT scan examination patient is compared with the Nuclear Energy Regulatory Agency of Indonesia (BAPETEN) standard based on the CTDIvol and DLP values of the patient, and also compared with the International Commission Radiological Protection (ICRP) standard. Based on the results of organ dose estimation calculations, the average value of the stomach is 0.82 mSv, the gonads are 0.54 mSv, and the bladder is 0.28 mSv. Meanwhile, the average value of effective dose received by abdominal examination patients is 5.28 mSv with an average cancer risk of 0.029 %. Based on the CTDIvol and DLP values of the patients, the 3rd quartile values of the patients were 8.25 mGy and 413.84 mGy.cm. This value is still below the value recommended by BAPETEN when viewed from the 2021 Diagnostic Reference Level (DRL) guidelines. The effective dose received by one patient exceeded the standard set by the ICRP. Meanwhile, the cancer risk received by patients is still in a low percentage.
DETERMINAÇÃO DE TERMOS DA SEQUÊNCIA DE FIBONACCI ATRAVÉS DE DOIS ALGORITMOS COMPUTACIONAIS
Authors: Lima Alan Derick de Araújo , do Vale Alberton Fagno Albino , Freire Elias das Neves , Maia Lucas Emanuel de Oliveira , Do Nascimento Rildo Alves , de Moura Carlos Henrique Lima , Vaz Adriano Socorro de Souza , De Lima Isaías José , Silva Juscimária de Sousa , da Silva Cleydiel Edmar , Dos Santos Francisco José , Cruz William Figueredo , Vieira Anderson Amaro , Rodrigues Iliane Maria Pimenta , Soares Paulo Robson Paiva
Published: December 2024

The Fibonacci sequence arose from the following problem: A pair of newborn rabbits was placed in a fenced place. Determine how many rabbit pairs they will have after one year, assuming that each month one pair of rabbits produces another pair and that each pair begins to breed two months after their birth. From this problem the Fibonacci sequence we know was built. When we build the sequence, we see that the number of rabbits increases a lot over time. In this way, it is laborious to calculate the number of rabbits when increasing the number of months. Hence, the following question arises: how many rabbits will they have after n months? For this, two computational algorithms will be built in VisuAlg: one algorithm to determine the first n terms of the Fibonacci sequence and another to determine the nth term of the Fibonacci sequence using Binet's formula.  The general objective of the work is to present a computational algorithm to determine the first n terms of the sequence. The specific objectives of the work are: to present the motivating problem of the Fibonacci sequence;  display the Fibonacci sequence as a recurrence and establish a formula for determining the terms of such a sequence. First, a bibliographic research was carried out that had as its source the books of Hefez (2016), Alencar (1981) and Burton (2010) and the article by Silva (2020).  Then, the computational algorithms were built in VisuAlg. Finally, some considerations were made, briefly showing the difficulties faced in the research and a reflection on the methodology used.
THE IMPORTANCE OF USER INTERFACE DESIGN IN REAL ESTATE PLATFORMS
Authors: da Costa Monique Cristina Rocha
Published: December 2024

User Interface (UI) design is a key factor in the success of digital platforms, particularly in the real estate sector, where market competitiveness and complexity demand an efficient and intuitive user experience. UI not only facilitates navigation but also influences how users interact with the platform, filter preferences, view properties, and make transactions. A simple and functional design, combined with a logical organization of information, is crucial for smooth, frustration-free navigation. Elements like clear menus, accessibility, and efficiency in property searches are essential for user retention and building trust. Moreover, interactive features such as virtual tours and high-quality videos enhance the user experience and assist in making more informed decisions, especially in a sector with significant financial implications like real estate. Research studies, such as those by Manko (2021) and Kandil et al. (2021), highlight the importance of creating an intuitive and efficient experience to attract and retain users, which becomes increasingly relevant with technological advancements. Yuan et al. (2013) suggest that personalized recommendation systems based on user behavior are an effective solution to optimize searches and increase customer satisfaction. Continuously adapting to users’ preferences, using online review data, is vital for improving the platform and strengthening its competitiveness. In a saturated digital market, investing in intuitive design and interactive features is not just an aesthetic concern, but a vital strategy for the success of real estate platforms.
A CONSTRUÇÃO DO ESPAÇO A PARTIR DA DANÇA – CHIODA: CASO YAO - NO DISTRITO DE CHIMBUNILA, PROVÍNCIA DO NIASSA
Authors: Fombe Américo José , Tete Oclídio Francisco
Published: December 2024

A pesquisa tem como tema a construção do espaço a partir da dança  chioda” caso yao - Distrito de Chimbunila, província do Niassa, com o objectivo de  Compreender como a dança chioda contribui para a construção do espaço de identidade  cultural ao povo do Distrito de Chimbunila, nestes termos, do ponto de vista político, cultural e académico constitui um elo de ligação entre a comunidade e as restantes individualidades que actuam directa ou indirectamente naquele ponto do país, por outro lado, é um instrumento de consulta na qual os futuros professores/educadores alargarão o horizonte didáctico - pedagógico para uma boa educação escolar. Dada à importância de que se reveste o tema, com a pesquisa fornece subsídios importantes para adequar o processo de Ensino-Aprendizagem que sirva de base para o conhecimento escrito do potencial da dança chioda como o seu marco de identidade naquele espaço geográfico.
Predicting Yeast Chromatin Accessibility Based on DNA Sequence Features
Authors: Dong Biyu , Zhang Qiguo , Zhang Zhi
Published: December 2024

The relationship between chromatin accessibility regions and DNA sequences represents a significant yet underexplored area of research. Supervised machine learning has emerged as an effective approach to elucidate this relationship. Most current predictions have focused on non-yeast organisms; however, in the field of synthetic biology, chromatin accessibility directly influences chromatin structure and the binding potential of regulatory proteins, which is crucial for enhancing production efficiency. In this study, we utilized ATAC-seq data from public databases specific to yeast. By combining the k-mer features of sequences from accessible regions with ensemble algorithm classifiers, we developed a predictive model for chromatin accessibility. Our model achieved an impressive AUC of 0.99, which holds promise for uncovering deeper insights into the mechanisms linking chromatin structure and DNA sequences.
Development of Landmark-Based Bit-State Model for Shape Analysis and Segmentation of Variations in Intima-Media Thickness of B-Mode Ultrasound Transverse Cross-Section of Carotid Artery Images
Authors: Udekwe Charles , Akinlolu Ponnle
Published: December 2024

Central to the assessment of carotid artery health is the measurement of intima-media thickness (IMT), a valuable diagnostic marker for atherosclerosis. IMT quantifies the thickness of two arterial layers — the intima and media — providing insights into arterial wall health and atherosclerotic changes. Carotid ultrasound, a non-invasive imaging technique, is the primary modality for IMT measurement. However, it is not without its challenges, including operator dependency and segmentation difficulties. To surmount these limitations and advance our understanding of carotid artery health, in this research paper, we develop the Bit-State model by applying landmark-based geometric morphometrics (GM) that built upon the foundation of cardinal point symmetry landmark distributed models (CPS-LDM) which we have developed in our previous papers to comprehensively characterize and segment carotid artery IMT, unveiling essential insights into variations and alterations. The Bit-State (BS) Model, revolutionizes our approach to understanding carotid artery structural variations. In this paper, there are four regions of interest (ROI) in the B-Mode carotid artery image, hence we designated each ROI as a bit. Each bit is capable of existing in either of two states: bit 1 as thick-walled and bit 0 as thin-walled ROI. In adopting this binary characterization, we generated 16 different modalities and variations of the ROI of the carotid artery, we then proceed to use the CPS-LD Model to formulate 16 equations for the segmentation of the ROI the carotid artery images. This new model simplifies the complexity of B-Mode ultrasound carotid artery images. It systematically characterizes shape variations using CPS-LDM equations, offering an interpretable framework for comprehending arterial wall composition. This research represents a significant leap forward in carotid artery health assessment, promising more precise diagnoses and targeted interventions for cardiovascular health. It highlights the pivotal role of landmark-based GM in addressing the challenges posed by carotid artery diseases and atherosclerosis. By pioneering this innovative model, this research paves the way for a deeper understanding of carotid artery health and its implications for stroke prevention — a critical stride towards mitigating the global burden of cardiovascular diseases.
An Exploration of RSA Encryption
Authors: Huang Eric
Published: December 2024

This project explores digital cryptography through the cryptography security system of RSA encryption. It also explores digital signature encryption with a simple hashing mechanism. This project resulted in a program that encoded and decoded messages using RSA encryption, handled large numbers, and calculated encryptions in a viable amount of time.
An Introduction to Resource Development in Leisure Education
Authors: Gong Ziqi
Published: December 2024

“Leisure” refers to the time that the people can really freely dispose of in modern society; leisure education is the education that instructs people how to actively utilize leisure; the resources of leisure education mainly include natural resources and social resources. Reasonable development and utilization of these resources is not only to meet the needs of “leisure” people, but also the needs of leisure education.
Alterity of “The Road” in Selected African Cities in Niyi Osundare’s If Only The Road Could Talk
Authors: Ogunbayo Dr. Olusola
Published: December 2024

This essay argues that the concept of “The Road” in certain cities is a constant pattern in Niyi Osundare’s If Only The Road Could Talk (2017). In this collection of poems, the recurrence of “The Road” reveals certain dynamic interplay between the “Self” and the “Other” as the poet journeys through Africa, Asia and Europe. Osundare’s odyssey opens an engaging space for him to re-think human experiences in the city life such as self re-assessment, boundary re-negotiation, neo-colonialism, migration and international politics as instances of alterity as the Self encounters the Other. Using the Alterity Theory of James Richard Mensch in Hiddeness and Alterity: Philosophical and Literary Sightings of the Unseen , therefore, this essay sees “The Road” in Osundare’s poems as a humanist pathway to discover  the sameness in the “otherness” of cities in the world  as the Self peregrinates other roads for alterities. Mensch’s Alterity Theory justifiably explains Osundare’s peregrinations because aspects of the theory support a literary comparison of the Self and the Other as well as how the Self encounters the Other in a journey. Germane issues like cultural diversity, ethical varieties, and re-examination of differences are few of the decipherable alterities in this transnational poetic trip on “The Road” of human cities.
Keywords: alterity, “The Road”, City, Self, Other
Panik Bozukluğun Bilişsel Davranışçı Vaka Formülasyonu
Authors: Aslan Berin
Published: December 2024

Panik bozukluğun fobilerden ayırdına gidilebildiğinde toplumdaki yaygınlığının sanılandan da fazla olduğu görülmektedir. Bu bozukluk pek çok psikoterapi yaklaşımı ile ele alınsa da en etkili yaklaşımlardan birinin bilişsel davranışçı terapi olduğu bilinmektedir. Bilişsel davranışçı yaklaşımda panik bozukluğun ele alınmasında en temel noktalardan biri, diğer bozukluklarda da olduğu gibi vaka formülasyonundan geçmektedir. Vaka formülasyonu, bilişsel davranışçı teoriyi merkeze alarak bireyin halihazırda var olan problemlerini tanımlamayı içerdiği gibi; müdahaleye rehberlik sağlayabilecek nedenler, problem listesi, işlevsiz inançlar, sürdürücüler ve koruyucu faktörler hakkında çıkarımlar yapmayı da sağlamaktadır. Ayrıca vaka formülasyonu ile bireyin sahip olduğu problemi neden şu anda yaşıyor olduğunu açıklamak, teoriye dayalı tutarlı ve açıklayıcı çıkarımlar yapmak, müdahaleye karar vermek için yol haritası oluşturulmaktadır. Bu nedenle panik bozuklukta vaka formülasyonu çeşitli araştırmacılar tarafından ilgi çekici bulunmuştur ve bu hususta çeşitli modeller geliştirilmiştir. Bu derleme çalışmasında panik bozukluğun formülasyonu için kullanılan panik modelden yola çıkılarak geliştirilmiş olan yenilenmiş bilişsel panik bozukluk modeline ve bu modelin vaka formülasyonunu oluşturmada üstlendiği rehber role odaklanılmıştır.
Faktor-Faktor yang Berhubungan dengan Keluhan Subjektif Non Auditory Pekerja Bagian Produksi Industri
Authors: Shalsa Eka Putri  , Pangestika Rismawati
Published: December 2024

Continuous exposure to noise is one of the factors that can cause non-auditory subjective complaints in the form of communication disorders, physiological disorders and psychological disorders as well as causing hearing problems, namely deafness. If noise exposure lasts for a long period of time along with other factors it will produce discomfort for the workforce and will have a negative impact on their performance. Most of the non-auditory health impacts of noise are not realized by individuals. The use of technology-based machines is very practical but can produce side effects in the form of physical factors such as noise, vibration and radiation which have the potential to have a negative impact on work and working conditions. The aim of this research is to determine the factors related to non-auditory subjective complaints from workers in the production section of the Brumbung Perum Perhutani Semarang Wood Processing Industry in 2023. This research is Quantitative approach with Cross Sectional design. The data collection method used was through an interview process using a questionnaire. The population in this study was 63 people, and the sample was 63 people using total sampling techniques. Results Chi square test results showed a relationship between noise intensity, age, and APT compliance (Pvalue <0.05). This shows that there is a significant relationship between noise intensity (0.001), age (0.048), and APT compliance (0.007) with non-auditory subjective complaints in the Brumbung Wood Processing Industry, Semarang in 2023.
Pengaruh E-Commerce terhadap Perilaku Konsumtif Mahasiswa di Era Digital
Authors: Somsom Sarofus , Alamanda Rahmadini , Maharani Diana , Ruhamafillah Shofi , Cholif Choirotul Jannah Imel , Puspa Arum Dewi
Published: December 2024

Perkembangan teknologi digital yang begitu pesat telah mengubah kebiasaan masyarakat secara signifikan. Salah satunya yaitu hadirnya e-commerce. Mulai dari kemudahan akses, banyaknya pilihan produk, dan penawaran menarik yang diberikan oleh platform e-commerce telah banyak menarik minat generasi muda, terutama di kalangan mahasiswa. Penelitian ini bertujuan untuk menganalisis secara mendalam pengaruh e-commerce terhadap perilaku konsumtif mahasiswa melalui studi pustaka kualitatif. Dengan menggunakan kajian literatur yang komprehensif, penelitian ini mengidentifikasi faktor perilaku konsumtif mahasiswa dalam penggunaan e-commerce. Faktor-faktor tersebut meliputi kemudahan transaksi, pengaruh teman sebaya, dorongan untuk mengikuti tren, dan tersedianya promosi serta diskon. Selain itu, penelitian ini juga membahas dampak baik dan buruk dari perilaku konsumtif yang dipicu oleh e-commerce. Berdasarkan hasil penelitian ini, kami menyimpulkan bahwa perlu adanya upaya untuk meningkatkan pemahaman mahasiswa mengenai pengelolaan keuangan. Penting bagi mahasiswa untuk mempunyai literasi keuangan yang baik agar mereka dapat membedakan antara kebutuhan dan keinginan, serta dapat mengatur pengeluaran mereka dengan bijak di tengah maraknya e-commerce.
Uma Arquitetura de Digital Twin para Open Finance
Authors: Bachmann João Eduardo Cosentino , Silveira Ismar Frango , Martins Valéria Farinazzo , Cardoso Alexandre
Published: December 2024

A convergência entre Digital Twins e Open Finance traz novas oportunidades. O Open Finance possibilita a coleta e o compartilhamento de grandes quantidades de dados financeiros entre diferentes participantes do mercado, como bancos, fintechs e outras instituições. Esses dados podem ser integrados em um Digital Twin, criando uma réplica digital de um cliente, processo ou sistema financeiro. Isso permite a simulação de diversos cenários, como o comportamento do cliente em resposta a diferentes produtos ou serviços financeiros, a previsão de tendências de inadimplência, a avaliação de riscos de crédito e a otimização da oferta de serviços. Nesse contexto, o presente artigo discute algumas arquiteturas de DT para o setor financeiro e apresenta uma arquitetura especificamente projetada para Open Finance.
Reconhecimento de espécies florestais Amazônicas utilizando imagens de superfícies transversais
Authors: F. da Silva Artur Jefferson , Spancerski Jandrei Sartori , Schenatto Kelyn , Nisgoski Silvana , Paula Filho Pedro Luiz de
Published: December 2024

A pesquisa em monitoramento ambiental impulsionou o desenvolvimento de diversas tecnologias aplicadas à conservação dos ecossistemas. Este trabalho explora a aplicação da arquitetura YOLOv8 para a identificação de espécies arbóreas amazônicas utilizando técnicas de visão computacional. O estudo foca na análise de imagens de cortes transversais da madeira, com um banco de dados público compreendendo 2.160 imagens de 18 espécies distintas. O modelo foi treinado e validado, alcançando alta precisão no reconhecimento das espécies, com resultados de teste demonstrando taxas de acerto de até 99%. O objetivo é desenvolver uma solução que permita reconhecer espécies com precisão, contribuindo para a proteção da floresta e melhorando a fiscalização contra o desmatamento ilegal
Machine Learning Model: Perspectives for quality, observability, risk and continuous monitoring
Authors: Nogare Diego , Silveira Ismar Frango , Cabral Pedro Pinheiro , Hauy Rafael Jorge , Neves Veronica
Published: December 2024

The transition of machine learning (ML) and artificial intelligence (AI) projects from experimental stages to fully operational solutions presents substantial challenges. This is especially true for applications where these technologies play a critical role, demanding high-quality, reliable, and observable ML models. This paper explores the crucial aspects of continuous monitoring in ML models and emphasizes the need for a comprehensive approach that goes beyond technical development. It highlights that ensuring the reliability and robustness of deployed ML models requires a multifaceted framework encompassing data governance, model lifecycle management, and thorough team training. The paper addresses key aspects such as model quality, risk management, and the crucial role of observability in maintaining model stability and reliability in production environments. Using Itaú Unibanco as a case study, the paper showcases a robust model risk management approach and a dual monitoring system: an independent validation team oversees riskier models, while smaller models are monitored by their development team. The paper concludes by emphasizing the significance of a robust Model Risk Management (MRM) framework in the evolving landscape of AI and ML, particularly as these technologies become deeply integrated into various business operations. Highlighting that Itaú Unibanco’s rigorous approach to model quality, observability, low risk, and continuous integration aligns with the regulatory requirements set by the Brazilian central bank.
Characterization of Pneumonia Diagnostic Uncertainty: A Case Study on The CheXpert Dataset
Authors: Allan Amyr , dos Santos Gilmário Barbosa
Published: December 2024

Pneumonia is a serious respiratory infection that presents significant diagnostic challenges due to the variability in its symptoms and its overlap with other respiratory diseases. This study investigates the potential of diagnostic uncertainty labels to enhance CAD system's pneumonia classification. Specifically, it explores the feasibility of a ternary classification approach (classifying X-rays as positive, negative, or uncertain), introducing uncertainty as a distinct diagnostic category, aiming to provide a more nuanced and cautious classification of pneumonia. Data processing techniques, including undersampling to balance classes, image resizing, and data augmentation, were applied. Transfer learning with the CheXNet model was then employed in a Monte Carlo cross-validation framework across 16 random data splits. The ROC curves and the areas under the ROC curves for the uncertainty class were analyzed, challenging the notion that uncertainty cannot be effectively characterized. The results indicated a degree of class separation, indicating that the uncertainty carried enough information to be characterized and suggesting the viability of the envisioned ternary model. Additionally, due to the exclusive use of frontal view X-rays and application of undersampling, results are expected to be further improved in future research.
Comparativo entre modelos de segmentação para identificação de espécies florestais
Authors: Moro Rômulo Diógenes , Paula Filho Pedro Luiz de
Published: December 2024

O desmatamento das florestas é uma preocupação crescente, pois seus impactos estão diretamente relacionados ao aquecimento global. Uma das maneiras de diminuir a degradação das florestas é a correta identificação das espécies de madeira. Porém, essa identificação se torna difícil devida à grande quantidade de espécies presentes no bioma brasileiro. Este artigo tem como objetivo explorar os conceitos para o desenvolvimento de uma solução baseada em técnicas de segmentação de imagens como o You Only Look Once (YOLO) e o Segment Anything Model (SAM) para otimizar o desempenho de um classificador Resnet-50. Ao concluir esta solução, espera-se contribuir para a identificação precisa das espécies de madeira, auxiliando com os agentes fiscalizadores no combate ao desmatamento ilegal.
Identifição de Espécies Florestais com YOLO: Um Estudo Baseado em Imagens de Folhas
Authors: Osowski Isabela Yasmim , Fadel Eduardo Marcon Gonçalves , Sabbi Larissa , Zanini Agostinho , de Paula Filho Pedro Luiz
Published: December 2024

Gerenciar e proteger recursos naturais é uma das principais preocupações de um país. A ameaça da mudança climática traz ênfase para a preservação florestal, o primeiro passo na direção da prevenção é a educação ambiental. O seguinte trabalho procura criar um modelo de aprendizado profundo capaz de identificar a espécie de uma árvore por sua folha. Utilizando um dataset disponibilizado com 16 espécies florestais, totalizando 698 imagens, e amostras em um ambiente controlado para treinar o modelo de detecção de objetos com o software YOLO. Procura-se disponibilizar uma ferramenta capaz de facilitar e garantir maior confiança na identificação de uma espécie florestal em qualquer lugar. Possibilitando o estudo ambiental de áreas que recebem menos atenção de organizações formais e possuem menos recursos e mão de obra especializada. O modelo apresenta taxas de acerto acima de 93% com uma confiança de 60% nas predições.
Aperfeiçoamento da AgDataBox-Data-API para gerenciamento de dados em agricultura digital
Authors: Beltrani Neto Oswaldo , Sobjak Ricardo , Bazzi Claudio Leones , Roza Estefani Aparecida Rup , Schenatto Kelyn , de Souza Eduardo Godoy , de Paula Filho Pedro Luiz
Published: December 2024

A agricultura digital utiliza tecnologias voltadas à digitalização rural para apoiar a tomada de decisão, integrando dados de diversas fontes. A plataforma Web AgDataBox, gratuita, oferece APIs e aplicações para atender às demandas da agricultura digital. Este trabalho teve como objetivo aprimorar a API de dados, permitindo novos recursos e a adoção de tecnologias atuais. O desenvolvimento foi realizado com a IDE Visual Studio Code, a linguagem Java, o framework Spring Boot e o banco de dados PostgreSQL com extensão PostGis. A API segue a arquitetura REST, organizada em camadas de controladores, serviços, repositórios, modelos e objetos de transferência de dados (DTO). Os testes de requisições foram realizados com a extensão REST Client. Como resultado, foi criada uma nova API que disponibiliza operações HTTP seguras para gerenciar dados, como criar, editar, deletar e consultar. Mecanismos de autenticação via token JWT e de autorização foram implementados. O acesso aos dados é dividido em públicos, disponíveis para todos os usuários, e privados, acessíveis apenas ao proprietário ou a usuários autorizados. Conclui-se que a API está pronta para gerenciar dados agrícolas e possibilitar a integração com outras aplicações.
Aplicação de Redes Neurais Convolucionais e Recorrentes na Detecção de Intrusão em Linux Baseada em Chamadas de Sistema
Authors: Bortoli André Augusto , Ló Thiago Berticelli , Vasata Darlon
Published: December 2024

A segurança cibernética em sistemas Linux é um desafio crescente devido ao aumento na frequência e sofisticação dos ataques. Os Sistemas de Detecção de Intrusão (IDS) tradicionais, baseados em assinaturas, mostram-se ineficazes contra novas ameaças, motivando a busca por soluções mais avançadas. Este estudo propõe um módulo de detecção de intrusões utilizando técnicas de aprendizado de máquina, combinando Redes Neurais Convolucionais e Redes Neurais Recorrentes, para identificar padrões maliciosos em chamadas de sistema. O modelo foi testado com o conjunto de dados ADFA-LD, alcançando uma revocação de 97% e uma precisão de 95%. Esses resultados demonstram a eficácia da abordagem proposta na detecção de ataques complexos. No entanto, o modelo ainda possui uma taxa de falsos negativos de 17,97%, indicando a necessidade de melhorias. Como trabalhos futuros, planeja-se implementar o módulo em ambientes reais e expandir os testes com bases de dados mais diversas e heterogêneas.
Trilha Ecológica Digital: Explorando a Conexão Entre Tecnologia e Conservação Ambiental
Authors: Ferraz Thales Ambrósio de Albuquerque , Accordi Iury de Almeida , Baum Liane Menezes , Ávila Filipe Régio de , Ambrósio-Accordi Andréia
Published: December 2024

Este artigo aborda a criação de uma trilha ecológica digital no Refúgio de Vida Silvestre Banhado dos Pachecos (RVSBP), em Viamão, RS, como uma ferramenta de educação ambiental. A iniciativa utiliza tecnologia, como fotos e vídeos em 360º, para recriar virtualmente a Trilha do Cervo, permitindo que alunos do Ensino Fundamental explorem a biodiversidade local de forma interativa. A pesquisa adota uma metodologia qualitativa, baseada em observações diretas e filmagens em 360ª e visa promover a conscientização ambiental, superando desafios logísticos e econômicos que limitam o acesso físico a essas áreas.