bluuebunny/crossref_metadata_2025 huggingface dataset:
EFEK MOTIVASI INTRINSIK DARI STRATEGI ELEMEN GAMIFIKASI PEMBELAJARAN
Authors: Febriansah Aris Triwahyu , Syifa’ul Qolbi Muhammad , Soepriyanto Yerry , Purnomo Purnomo
Published: July 2024

This study aims to examine and analyze the differences in intrinsic motivation of learners based on Point+Leaderboard (PL) and Point+Badge (PB) gamification element strategies. The research sample was 84 undergraduate students of the Department of Educational Technology, State University of Malang. Data was collected using the Intrinsic Motivation Inventory (IMI) questionnaire which consists of 4 variables: interest/enjoyment (EJ), perceived competence (PC), effort (EF), and pressure (PR). The research method used the Independent T-Test to test the difference in intrinsic motivation between OT and PB groups. The t-test results showed significant differences in EJ and EF variables between OT and PB groups. This shows that PL is more effective in increasing learners' enjoyment/interest and effort compared to PB. However, there is no significant difference in PC and PR variables between OT and PB groups. This means that both PL and PB are equally able to give positive effects on the sense of competence and do not cause negative effects on learners' stress. This study shows that Point+Leaderboard strategy is more effective in increasing learners' intrinsic motivation compared to Point+Badge strategy
PENDAMPINGAN PSIKOLOGIS BAGI IBU POSTPARTUM: UPAYA MENGURANGI RISIKO DEPRESI PASCA MELAHIRKAN DI KABUPATEN TUBAN
Authors: Qoyimah Ilmiatus
Published: July 2024

The mental health of postpartum mothers is an important issue that is often overlooked. Postpartum depression not only affects mothers but also negatively impacts the emotional and cognitive development of babies. In Tuban Regency, awareness and access to mental health services are still limited, with around 10-15% of mothers experiencing postpartum depression. This program aims to provide psychological support for postpartum mothers through several stages: participant identification and recruitment, education, individual counseling, psychosocial support, and health worker training.
This program successfully reached 30 postpartum mothers in Tuban Regency. The Evaluation showed a significant increase in mothers' knowledge about postpartum depression and how to manage it. Individual counseling sessions helped mothers to be more open about their feelings and receive the necessary assistance. The psychosocial support groups created a supportive environment for the mothers. The training of local health workers produced workers who could recognize the symptoms of postpartum depression and provide early intervention.
The conclusion shows that this psychological support program is effective in reducing the risk of postpartum depression and improving the mental well-being of postpartum mothers. For the sustainability of the program, recommendations include strengthening collaboration, developing comprehensive training modules, conducting regular monitoring and evaluation, and raising awareness about the importance of postpartum mental health. Similar programs are expected to be implemented in other areas to support the mental health of postpartum mothers more broadly.
Penerapan Metode Pencatatan Berorientasi Sumber untuk Dokumentasi Asuhan Keperawatan di RSUD Dr. R. Koesma Tuban
Authors: Tiara Putri Ryandini  , Lukman Hakim  , Mukhamad Nurhadi  , Mei Widyawati  , Dyah Pitaloka
Published: July 2024

Nursing care documentation is a crucial element in quality nursing practice. Dr. R. Koesma Tuban Regional General Hospital (RSUD), as a healthcare institution committed to quality care, introduces the source-oriented recording method to enhance the quality of nursing care documentation. This article presents an introduction to the importance of nursing care documentation, along with the background, objectives, and benefits of implementing this method at RSUD Dr. R. Koesma Tuban. The Literature review supports the decision to implement this method, highlighting its benefits in improving accuracy, compliance, care coordination, and healthcare service efficiency. The structured implementation method involves team training, document review, socialization, implementation, monitoring, evaluation, and advanced training. The implementation results indicate improvements in accuracy, compliance, care coordination, and healthcare service efficiency. In conclusion, the application of the source-oriented recording method at RSUD Dr. R. Koesma Tuban is a strategic step to enhance the quality of healthcare services and patient safety.
EFEKTIFITAS TERAPI SELF HELP GROUP (SHG) TERHADAP TINGKAT STRES DIMASA LANSIA
Authors: Intan Munawaroh  , Shulhan Arief Hidayat  , Ossi Dwi Prasetio  , Angga Miftakhul Nizar
Published: July 2024

The elderly group has very complex health problems, both physiological and psychological. Health problems experienced by the elderly include a gradual decline in physical and psychological function, which can cause stress. This research aims to determine the effectiveness of SHG therapy on stress levels in the elderly in Campurdarat Village. This research was a quasi-experimental pre-test and post-test with a control group design. The population in this study were all elderly people in the Campurdarat District Area The independent research variable is SHG therapy and the dependent variable is stress level. Analysis test was carried out using Wilcoxon signed-rank test. The results show that SHG therapy affects stress levels in the elderly, it obtained a significance value (p-value) of 0,000<0.05. This is proven by a decrease in stress levels before and after being given SHG therapy in the intervention group.
Keywords: Elderly; SHG; Stress.
PENGARUH AROMATERAPI TERHADAP PENURUNAN NYERI PADA PASIEN DENGAN KANKER KOLOREKTAL : A SCOPING REVIEW
Authors: Nia Rosliany  , Wahdini Rizqa , Ribka Sabarina Panjaitan
Published: July 2024

Pain is a prevalent symptom among cancer patients, accompanied by fatigue, sleep disturbances, anxiety, and depression. Aromatherapy, a non-pharmacological method, can safely reduce pain without negative side effects. It involves the use of essential oils as therapeutic agents, absorbed through the skin or olfactory system. This study aims to evaluate the impact of aromatherapy on pain reduction in colorectal cancer patients. This study uses a scoping review methodology based on PRISMA guidelines. The review encompasses three databases: PubMed, Sage, and ScienceDirect, covering the period from 2019 to 2024. Specific search terms were utilized based on inclusion criteria for article selection. Out of 2403 research articles, six were chosen after screening abstracts and full texts to identify studies meeting the inclusion criteria. The analysis identified various types of aroma therapy used for pain reduction. The studies reviewed indicated that aromatherapy was administered through massage and inhalation using essential oils like lavender, lemon, peppermint, geranium, and others. Aromatherapy showed significant positive effects in reducing pain compared to placebo or usual care control groups, as measured by the visual analog scale (VAS). The study's findings suggest that aromatherapy effectively reduces stress, depression, and pain perception in patients with colorectal cancer.
 
Keywords:  Aroma therapy; Colorectal Cancer; Pain
The Establishment of the Concept and the Settlement of Contemporary Archaeology in South Korea
Authors: Kim Dongil ,   The Pusan Archaeological Society
Published: July 2024

Contemporary Archaeology has become more active globally since the mid 20th century. As of 2010, archeological investigation into contemporary archaeology material culture has rapidly grown in South Korea as well. However, in South Korea, contemporary data that are only under the surface were investigated, and except for Seoul, a very small part of the regions in South Korea was investigated. Under these circumstances, this study was conducted to establish the concept of Contemporary Archeology in accordance with the domestic situation of South Korea and to settle it in the academic world.
Subdivisions of Contemporary Archeology include Industrial Archaeology, Digital Archaeology, Media Archaeology, Battlefield Archaeology, Conflict Archaeology, Religious Archaeology, Settlement Archaeology, and so forth. The beginning of Contemporary Archaeology is based on the data formed since the opening of the port in 1876, and its periodization can be set up depending on the historical events or rapid changes in material culture. The spacial scope of Contemporary Archaeology should not be limited to the Korean peninsula, but its surrounding areas should also be reviewed based on the cases related to the Korean peninsula.
Contemporary Archaeology significantly differs from other general prehistoric and historical archeology in research methods or research processes. Especially, since the current typology, dating methods, the use of artifacts and remains, and intercultural relations have been the ones typically considered as archeology in most of East Asia, it may not seem like archeology research to research just the other parts of the study than the ones mentioned above. Due to this situation, a clear direction is needed when it comes to Contemporary Archaeology. Some of the suggestions are as follows: (1) research on industrialization process, (2) investigation and research on Japanese Colonial Rule, (3) problems in system improvement, (4) research on investigation methods, (5) approach as to contemporary archeology in religion, battlefield, media, etc. (6) research on exhibition and preservation, and (7) the release of archaeological data for interdisciplinary research.
In conclusion, through these attempts, domestic academia of South Korea will be aware of Contemporary Archaeology in a deeper level, and the concept of Contemporary Archaeology will be settled in the domestic academia after the establishment of the concept in Contemporary Archaeology.
Analogy of Ironware Production Technology in the Southeast Region of the Korean Peninsula from the Blacksmith's Facilities in Northern Kyushu Region in the Yayoi Period
Authors: Kim Sang-min ,   The Pusan Archaeological Society
Published: July 2024

The exclusive ironware culture represented as Wood chamber and Flat iron axe was established in the southeastern region of the Korean peninsula after the first century A.D. However, the investigation accomplishment of the contemporary ironware production remains having been identified so far is not comparable to the good quality of the ironware having been excavated from the remains. This manuscript checks the ironware production relics and relevant artifacts in the north Kyushu region in the Yayoi period to overcome the absence of ironware production remains in the southeastern region in the first to three centuries A.D. to analogize the contemporary with ironware production technology in the southeastern region of the Korean peninsula.
The ironware production in the north Kyushu region in the Yayoi period changed over the two epochs after ironware production technology was introduced due to the effect of the southeastern region of the Korean peninsula. According to the previous study, the type 6 with advanced underground facilities within a dwelling and the type 7 as an outdoor blacksmith‘s facility emerge in the north Kyushu region in the latter part of the Yayoi period show the unique characteristics of the north Kyushu region.
However, type 6 blacksmith’s facility is related to the type 4 blacksmith’s facility which is an outdoor facility shown in Nuk-do in the southeastern region and is possibly the case applied and changed to the inside of a dwelling in the north Kyushu region. Moreover, the type 7 blacksmith’s facility has ground type walls, and even technology reflecting refining and smith is presented. However, a blacksmith’s facility similar to the type 7 may also exist in the southeastern region in terms that a blacksmith’s facility already precedes as an outdoor facility in the southeastern region, that there is a similarity to a blacksmith’s facility within a shell midden settlement in insular and coastal regions, and that they type 7 is found only from Iki Island located in the entrance of the north Kyushu region. A blacksmith’s facility within a shell mound settlement in the southeastern region shows similarity to the type 7. Especially, the level of iron production technology in the southeastern region after the first century A.D. can be tracked through the relevant relics and artifacts presenting the high-temperature operation found in Busan Nakmin-dong Shell mound. Moreover, the production and the distribution structure were built on the basis of processes through the salient differences of tuyeres with in shell mound settlements.
The ironware and iron materials produced in the southeastern insular and coastal regions of the Korean peninsula had been supplied to the north Kyushu region through the ironware production and distribution structure in the southeastern region until the introduction of ironware production technology in the Japanese Islands.
Decorative-jewelry heteromorphic ammonites from Campanian deposits of the Severnaya Sosva River valley, Northern Urals: A new mineral type
Authors: PETROCHENKOV Dmitri , BARABOSHKIN Evgeni
Published: July 2024

The article presents results of a study of ammonites with the heteromorphic shell from Campanian deposits of the Upper Cretaceous, Severnaya Sosva River, as an industrial mineral providing the decorative specimens and jewelry material.
The complex of investigation of the ammonite shells included determinations of their density, microhardness, luminescence, mineral and chemical composition and the optical petrographic and electron microscopic studies. The ammonite shells consist predominantly of quartz (more than 79 wt. %) represented mostly (more than 52 wt. %) by an amorphous form. The cherty siltstone filling the destroyed ammonite chambers also contains cristobalite, tridymite, albite, microcline, glauconite, illite and smectite, pyrite, ilmenite, and iron hydroxides. Of the impurity elements, increased contents of Ba (about 0.0129 wt. %) and Cr, V, Zn, Rb, Sr, and Zr (less than 0.01 wt. %) were determined. Based on the mineral composition, the ammonite shells are classified as a new siliceous type.
The walls of the shells are characterized by bright colored iridescence, which is associated with preservation of the structure of the original aragonite lamellas completely replaced by quartz in the crystalline and amorphous forms. The bright colored iridescence of the shells makes it possible to use the ammonites as a gem stone material. A new mineral type of ammolite, the siliceous ammolite, has been established. The ammonite shells may be gathered from the Campanian deposits in coastal cliffs or talus without mining workings, which does not require significant material costs and does not disturb the environment.
The Relevance of Forensic Accounting Techniques in Combating Corrupt Practices in Selected Public Tertiary Institutions in Southwest Nigeria
Authors: Dada O. Samuel , Adegbie F. Folajimi , Shodeinde J. Bolaji , Akinola M. Biodun
Published: July 2024

The inability of the government to eradicate corruption in the education sector harms the standard of education in Nigeria. Evidence from the literature indicated that the dilapidated infrastructure, low standard of education, underfunding of education for research and development, and demotivation of the academic staff for productivity were attributed to corruption that has pervaded the sector in southwest Nigeria. The ineptitude of the existing audit and investigation techniques to curb corrupt practices called for the introduction of forensic accounting. The study adopted a survey research design. The population of the study consisted of 257,061 stakeholders in selected six universities and six polytechnics in southwest Nigeria, the sample size of 399 was determined using the Taro Yamani formula. A stratified sampling technique was used to administer the copies of the questionnaire to the respondents. The findings of the study revealed that forensic accounting techniques had a significant effect on corrupt practices in selected public tertiary institutions in southwest Nigeria (β= 0.299, t=7.462, p = .000); (β= 0.083, t =1.559, p=0.120); (β= 0.187, t=3.578, P=0.000). The study concluded that forensic accounting resolved corrupt practices in public tertiary institutions. The study recommended that the government should establish a forensic account, audit and investigation unit in every tertiary institution to ensure accountability and transparency in their financial operations. The administration of tertiary institutions in southwest Nigeria should institute legal action against any official caught with corrupt practices to deter others from such behavior.
Economic Policy Uncertainty and Financial Markets in the United State.
Authors: Adeloye Fadekemi Chidinma , Olawoyin Olayinka , Daniel Chinaemerem
Published: July 2024

The economic space is ever-changing; hence, navigating the complexities of monetary policy uncertainty (EPU) and its ramifications on financial markets poses significant challenges for stakeholders. Policy uncertainty can lead to volatile market conditions, impacting investment decisions, capital flows, and overall economic stability. Thus, this study investigates this relationship by analyzing key variables such as stock market volatility, credit spreads, government bond yields, and trade volume. Utilizing secondary data from the Federal Revenue Economic (FRED) official website from 1990 to 2023, the study employs an autoregressive distributed lag model, incorporating an error correction mechanism and cointegration test. The findings indicate that stock market volatility (VI) has a significantly negative impact on market performance, demonstrating that increased volatility adversely affects market outcomes over extended periods. Moreover, the study observes relative stability in credit spreads, while trade volume and stock market volatility exhibit considerable fluctuations. While stock market volatility shows a significant negative impact on market performance, the effects of credit spreads and government bond yields are less evident. This study offers vital insights to policymakers, investors, and market participants, equipping them with knowledge to navigate uncertain financial environments and make informed decisions. Recommendations include strategies to mitigate the adverse effects of stock market volatility and foster stability in financial markets for sustainable economic growth.
AS PRINCIPAIS FORMAS DE VIOLÊNCIA SOFRIDAS PELAS PESSOAS IDOSAS NO PARANÁ NOS ANOS DE 2021 E 2022 E AS INTERVENÇÕES QUE A POLÌCIA MILITAR PODE REALIZAR ASSEGURANDO OS DIRETOS CONSTITUICIONAIS DESTES INDIVÍDUOS
Authors: De Oliveira Durães Giovani
Published: July 2024

A violência contra a pessoa idosa vem aumentando muito nos últimos tempos e o modo como a sociedade trata esta parcela da população representa o grau de civilidade de seus integrantes. Diante deste fato, surgiu a problemática para esta pesquisa, como identificar as violências sofridas pelas pessoas idosas no estado do Paraná e como acontece a atuação da polícia militar na defesa desta população tão vulnerável? Buscando respostas a este questionamento, o objetivo central foi de verificar como os policiais militares podem atuar na defesa das pessoas idosas frente às violências praticadas contra esta parcela da população, algo que cresce a cada dia no estado do Paraná. A metodologia empregada foi uma pesquisa de campo, na Secretaria de Justiça, Família e Trabalho do Estado do Paraná - SEJUF, no Disque Idoso Paraná, que tem sua sede na cidade de Curitiba, capital do estado. E os achados demonstraram que no ano de 2021 a violência patrimonial e financeira foi a mais denunciada, totalizando 34,6% dos casos, sendo as agressões verbais e psicológicas 25,1%, negligências 20,9%, agressões físicas 12,9% e abandono 6,5%. Já no ano de 2022, a predominância das denúncias foi de violência verbal e psicológica com um total de 33,6%, negligência 26,1%, violência patrimonial e financeira 21,2%, agressões físicas 11,2% e abandono 7,9%.  Assim, foi possível constatar que os indicadores de violência variaram nos dois anos, mas que se encontram em níveis bem altos e vêm de encontro a muitas outras pesquisas realizadas.
Hubungan Dukungan Keluarga dengan Kepatuhan Minum Obat pada Pasien TB Paru di Puskesmas Sei Suka
Authors: Togatorop Linawati , Suharnida Yuni , Hanafiah Yusuf , Saragih Sontina
Published: July 2024

Background: Tuberculosis is an infectious disease that can attack all levels of society. The main step in treating pulmonary TB is to obediently take medication. Anti-pulmonary TB medication requires quite a long time so there needs to be support from the family to support patient compliance in undergoing the treatment process.  Method: This type of research is correlation analysis with a cross sectional research design. This research was conducted at the Sei Suka Health Center in September - October 2023. The population in this study were all pulmonary tuberculosis patients at the Sei Suka Health Center, Batu Bara Regency, North Sumatra. The sampling technique in this research was total sampling so that a sample of 53 people was obtained. Analysis using the chi-square test. Results: Compliance with taking medication for pulmonary TB patients has a significant relationship with instrumental support, information support, appreciation and emotional support with a significant value of p=0.010 so p<0.05. Conclusion: that there is a relationship between instrumental support, information support, appreciation and emotional support with medication adherence in pulmonary TB patients in the Sei Suka Community Health Center Working Area.
Gambaran Tingkat Pengetahuan Keluarga Tentang Posyandu Lansia di Desa Petak, Gianyar
Authors: Swandika I Wayan , Putra I Kadek Agus Dwija
Published: July 2024

ABSTRACT
Background: Indonesia is one of the top five countries with the highest number of elderly people in the world. The Central Bureau of Statistics in 2017 stated that in a period of five years, the percentage of the number of elderly people in Indonesia had doubled, namely to 8.97% (23.4 million). The government has anticipated an increase in the number of elderly groups by holding an Integrated Service Post (Posyandu) for the elderly which is fostered by the Community Health Center (Puskesmas) spread across various regions in Indonesia. The purpose of this study was to describe the level of family knowledge about the elderly posyandu in Petak Village, Gianyar.
Methods: This study uses descriptive research methods. The population in this study were families who have elderly people, and the sample in this study amounted to 83 people. The sampling technique used in this study was purposive sampling. The instrument used by the researcher was a questionnaire consisting of 20 questions. After the data from the questionnaire were collected, the data was coded first, after that it was processed / processed in IBM SPSS Statistics version 24. The inclusion criteria of this study were the head of the family / family member who lives in the Petak Village based on ID card, is willing to be a respondent, has the elderly aged 60-74 years, and the exclusion criteria were uncooperative families and did not allow data collection (illness).
Results: The results of the study of 83 respondents, namely the level of family knowledge about the elderly posyandu mostly in the good category. Knowledge in the good category is 83 respondents (100%), the moderate category is 0 respondents (0%), and the poor category is 0 respondents (0%). Based on the characteristics obtained, most of the respondents were aged 36-45 years (45.8%), male gender (50.6%), last education was primary school (36.1%), and worked as farmers (57.8%).
Conclusion: The level of family knowledge about elderly posyandu in Petak Village, Gianyar is mostly in the good category, as many as 83 respondents (100%).
Edukasi Risiko dan Upaya Preventif Penyalahgunaan Narkoba pada Pelajar SMKN 7 Kota Lhokseumawe
Authors: Julita Usti , Masdina Erna , Gaol Lasmina Lumban , Elwata Junaedy
Published: July 2024

Background: Prevention efforts and the impacts caused by drug abuse in the modern era and today's advanced technology remain a priority. This increase is indicated by the increasing number of drug users from various groups, especially students. The aim of community service is to provide counseling or education on the risks and prevention efforts of drug abuse to students at SMKN 7 Lhokseumawe city. Method:This activity uses the socratic method. Data based on the pre-test and post-test were analyzed using descriptive statistical techniques. The activity was held on March 18 2024 at SMKN 7 Lhokseumawe City with a total of 35 male students ranging in age from 15 – 18 years. Results: the results obtained from pre-test data were low knowledge about types of drugs where 20% of students mentioned marijuana, 5% said crystal methamphetamine and 75% had heard of but did not understand drugs. Meanwhile, the post-test results showed that students were able to explain the meaning of drugs with a score of 93 and very low results were not able to explain the signs and symptoms of drug users with a score of 75. Conclusion: the conclusion was that there was an increase in students' knowledge about drugs. This is proven by the fact that 25% of students were able to explain the types of drugs when the pre-test increased to 90% compared to the post-test, with a maximum score of 100, an average score of 80 was obtained.
Influence of Digital Technology on Microfinance Sector: A Study in Kerala
Authors: K. Santhosh Kumar , Aithal P. S.
Published: July 2024

Purpose: This study aims to evaluate how digital technology integration enhances operational efficiency and expands financial inclusion within India's microfinance sector. It also seeks to analyze beneficiary satisfaction levels with digital microfinance services to inform strategies for improving service delivery and overall impact.
Design/Methodology/Approach: The study utilizes a mixed-methods research design, integrating both quantitative techniques such as Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM), and qualitative data gathered through a structured questionnaire. This approach enables a thorough assessment of beneficiary satisfaction with digital microfinance services in Kerala, offering valuable insights into enhancing service delivery and maximizing sector-wide impact.
Findings/Result: The study reported high satisfaction levels among respondents with digital microfinance services in Kerala, particularly noting that Digital Savings Accounts and Mobile Payments significantly enhance satisfaction due to their convenience and accessibility. However, Advisory Services and Micro insurance Products were identified as areas with potential for improvement.
Originality/Value: The study adds unique value by examining how digital technology integration specifically enhances beneficiary satisfaction within Kerala's microfinance sector. It provides detailed insights using both quantitative methods like Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) and qualitative data, offering actionable recommendations to optimize digital microfinance services in the region.
Paper Type: Empirical Research.
From Access to Empowerment: The Role of Digital Microfinance – ABCD Evaluation
Authors: K. Santhosh Kumar , Aithal P. S.
Published: July 2024

Purpose: The study aims to examine the impact of digital microfinance programs, including digital microloans, on financial inclusion and economic empowerment in India, and to assess their contributions to poverty alleviation and enhanced livelihoods among marginalized communities. Design/Methodology/Approach: This study employs a systematic approach to conduct a comprehensive literature review on microfinance and digital microloans in India. The methodology includes thorough searches across academic databases, institutional reports, and policy documents to compile pertinent literature. Additionally, ABCD analysis was conducted to provide detailed insights from the perspectives of both consumers and service providers. By synthesizing existing knowledge, the research aims to elucidate the evolution, impacts, challenges, and contributions of digital microfinance initiatives towards poverty alleviation, economic empowerment, and inclusive growth among marginalized communities in India. This systematic review not only consolidates the current understanding of digital microfinance but also identifies gaps for future research, aiming to inform policy-making and enhance the effectiveness of financial inclusion strategies in the region. Findings/Result: Based on the comprehensive literature review, the findings highlight the transformative impact of digital microfinance initiatives in India. These initiatives have significantly contributed to poverty alleviation and economic empowerment among marginalized communities by expanding access to financial services and fostering entrepreneurship. The evolution towards digital platforms has streamlined operations, reduced transaction costs, and improved credit accessibility, thereby enhancing economic opportunities and resilience. These advancements underscore the critical role of digital microfinance in promoting inclusive growth and sustainable development across India. Originality/Value: This research enhances the existing understanding of digital microfinance initiatives by illuminating how digital platforms have expanded access to financial services. The study underscores the pivotal role of technology in promoting inclusive growth and enhancing economic resilience among marginalized communities, thereby contributing valuable insights to sustainable development efforts in emerging economies like India. Paper Type: Conceptual Analysis.
¿Antropología griega o hebrea en el libro de la Sabiduría?
Authors: Arnaiz Quintero Rubén Darío
Published: July 2024

La reflexión sobre el hombre y la bendición de Dios para el pueblo de Israel está fundamentada en el acontecimiento que forjó su identidad: la alianza y la liberación. De modo que la preocupación acerca del ser humano y su relación con Dios está presente en todo el texto bíblico, desde el Antiguo Testamento (at) hasta el Nuevo Testamento (nt); desde el libro de Génesis hasta el libro del Apocalipsis, expresada a través de géneros literarios diversos con soluciones y propuestas diferentes. De este modo, se crearon diversas tradiciones bíblicas con diferentes temáticas, desde acontecimientos históricos diferentes; con mediadores distintos según la época,4 desde las cuales, a modo de confesión de fe Israel testimonió, entre otros temas, su experiencia de cómo, cuándo, y a quién, Dios bendice. Postulando así, diversas concepciones acerca del hombre.
El poder de lo humano desde una mirada profética
Authors: Armenta Martínez Jorge Gerardo
Published: July 2024

Esta convocatoria estuvo dirigida a estudiantes de teología y ciencias religiosas, de licenciatura y posgrado, de las universidades afiliadas a la Unión de Instituciones Teológicas Católicas de México (uitcam): (Instituto Franciscano de Filosofía y Teología, la Universidad Intercontinental, la Universidad La Salle, el Instituto Mexicano de Doctrina Social Cristia- na, el Instituto de Formación Teológica Intercongregacional de México, la Universidad Iberoamericana, el Centro de Estudios de los Valores Humanos, la Universidad Pontificia de México, catequistas y agentes de pastoral.
Expressive Art Therapy Psychoeducation Module for Mental Health, Resilience, Attitude Towards Seeking Counselling Among Trainee Teachers
Authors: Abdul Rahman Siti NurulHida , Mahmud Mohd Izwan , Suhaila Ku Johari Ku , Amat Salleh
Published: July 2024

Expressive art therapy helps to reduce psychological problems, develop a more positive view of different social classes (including children, adults and the elderly) and strengthen resilience. This study investigates the feasibility of implementing the psychoeducational module "Expressive Art Therapy" in student teachers. Seven students enrolled in the preparation programme participated in this study. Study participants are required to provide feedback on each activity in which they participate, including suggestions for improvement and testimonials. The results of this study help the researcher to identify shortcomings in the activities in terms of time, resources and instructions and to make improvements in order to develop a high quality module. This research also contributes to theories and methods that the Institute of Teacher Education can use to improve its counselling and psychological services.
Recognition and Classification of 3D Objects of Different Details
Authors: Alexandrov Islam A. , Mikhailov Maxim S. , Muranov Alexander N. , Kuklin Vladimir Zh.
Published: July 2024

The development of 3D scanning technologies has made it possible to obtain an increasing amount of data about the external world, which leads to the need for efficient methods of processing acquired data to recognize objects. Traditional approaches face accuracy, speed, and reliability problems due to the complexity and diversity of object shapes, sizes, degrees of detail, and the presence of noise and artifacts in the data. Therefore, our goal was to improve the object recognition efficiency. It is necessary to determine the method of obtaining geometric and topological parameters. In the paper it is proposed to use the method of Laplace-Beltrami, which allows to calculate distances and angles between points within a given area. Next, it is necessary to determine which parameters will be used to analyze the obtained geometric data. We propose the use of three spectral descriptors – Heat Kernel Signature (HKS), Weave Kernel Signature (WKS) and the wavelet descriptor (SGWT). Then, we develop a high-accuracy recognition method based on spectral and topological invariants processed using a convolutional neural network. Subsequently, the parameters of the descriptors are calculated, and then they are calculated through the neural network, resulting in the classification of the object. In summary, the structure of the proposed method comprises the computation of the Laplace-Beltrami spectrum, the construction of spectral distribution maps, and the subsequent processing of this information using a neural network. After analyzing the results, we found that the proposed method has a recognition rate of 0.9 s and recognition accuracy of 97%. It was shown how much more effective the use of the three descriptors was compared to the use of each one individually. An example of object recognition using the proposed method was also given. The methodology outlined in this paper utilizes machine learning to achieve high levels of accuracy in the classification of different objects. Effectiveness of the proposed method in this study enhance existing recognition systems and open new opportunities for their application in various fields, including robotics, agriculture, and navigation. This research demonstrates considerable potential for further development and application in the field of agriculture, underscoring the continued necessity for research in this area
Fortifying IoT Infrastructure Using Machine Learning for DDoS Attack within Distributed Computing-based Routing in Networks
Authors: Abdulkadhum Abbas Sharaf Aldeen , Abdu Ibrahim Abdullahi
Published: July 2024

The DDoS, Also known as the Denial-of- Service cyber-attack, is now widely used, especially after such technologies as the IoT (Internet of Things) became mainstream and data traffic prefers link routes. Their effectiveness is limited by the attacks being controlled by the center, the limited data transmission capacity and also the viruses' ability to operate under-the-roof while using the mobile nodes which helps them move covertly. On the other hand, if we consider the conventional security approaches, these security devices mostly use traditional security protocols such as password encryption and user authentication respectively. The aim of this paper is to analyze the architecture of attack detection that are deployed in the IoT network and correspondingly demonstrate whether their function is to track and follow or even attack subjects. Moreover, the paper demonstrates the proper job of the detectors in keeping the networks to be safe. The algorithms that are tended to do the machine learning which is about past occurrences of these attacks and then soon to come up with new solutions which somehow or very likely could control or minimize attacks that might be prejudicial are the typical way that attacks are prevented. This research aims to compare the key machine learning approaches, Namely Support Vector Machines (SVM), Random Forest (RF) and Decision Trees (DT), in their ability to classify Intrusion Detection Systems (IDS) via routing networks over distributed computing systems. In addition, Algorithms perform quality control to determine the optimal hyperplane for the given data, Find neighboring data points and preserve the structure of the tree. We evaluate these algorithms using metrics such as the confusion matrix, F1 score, and AUC-ROC to determine their performance in managing imbalanced datasets and generating meaningful insights. Our results indicate that Random Forest outperforms the other models, achieving an accuracy of 99.2%, a false positive rate of 0.8%, and an AUC-ROC of 0.997.
A Study on Impact of Television Violence in Relation to Juvenile Delinquency
Authors: Annamithra. C
Published: July 2024

TV you are seen with a barrage of violent scene and images including aggressive behavior, explosions, war casualties and suicide bombings. Many social psychologists conducted research about television violence and aggression among adolescents. American adolescents watch an average of between four and five hours of television shows daily. Television violence makes youngsters and teens be less mindful, to lose their restraints, and to be less delicate. In a concentrate on the association among violence and television finished with 1,565 high school young men more than a six-year term in London, William Belson, a British clinician, figured out that each opportunity a kid saw somebody being shot or killed on television they turned out to be less mindful towards others. In conclusion, television violence and adolescents have become violent serials and shows. Studies show extensive watching of television violence may cause adolescents to become more aggressive and anxious. The primary data which has been analysed using Frequencies, SPSS. The secondary data is collected from journals, articles, e-sources and books. An empirical study is done where the samples are collected by using probability sampling and convenient sampling methods. Samples of approximately 200 respondents are collected. The findings were that there is an association between the respondents about effects of television violence among juveniles. The outcome from the graphs shows that the juveniles are influenced at a higher rate. The aim of the research is to know about the impact of television violence on juveniles. The conclusion of this study is that the parents should protect the children from excessive use of television..
Automatic Method to Predict and Classify Cyber Hacking Breaches using Machine Learning
Authors: Vishnu Shankara M A  , Dr. H. Jayamangala
Published: July 2024

The fast propagation of computer networks has changed the viewpoint of network security. Easy accessibility conditions cause computer networks to be susceptible against several threats from hackers. Threats to networks are numerous and potentially devastating. Up to the moment, researchers have developed Malware Detection Systems (MDS) capable of detecting attacks in several available environments. A boundlessness of methods for misuse detection as well as anomaly detection has been applied. Many of the technologies proposed are complementary to each other, since for different kinds of environments some approaches perform better than others. This project presents a new Malware detection system that is then used to survey and classify them. The taxonomy consists of the detection principle, and second of certain operational aspects of the Malware detection system. In our project we have used algorithms like Random Forest (RF) as existing and Support Vector Machine (SVM) as proposed systems. From the results it is proved that the proposed SVM will work better than existing RF. All are measured in terms of accuracy
Sign Up Wallet a Block Chain based Personally Identifiable Information (PII) Masking using Lookup Substitution
Authors: T. Mukilan  , P. Kavitha  , S. Kamalakkannan
Published: July 2024

Digital identity is a user’s online identification, similar to a physical identification card such as a passport or driver’s license. A digital identity contains characteristics or attributes of the user. As we access apps and websites, organizations are dominantly using centralized and federated identity management systems (e.g. signing in with a Google or Facebook account) by default. The centralized system puts data at risk of large scale hacks and breaches while the federated model enables companies to track user data without their knowledge. Existing identity management systems either use a centralized authentication server or rely on identity providers to authenticate users for gaining access to various services. These systems have failed to safeguard user data privacy and do not encourage the portability of identity data. A trustworthy and reliable system is needed so that individuals can interact and network digitally and securely. These problems are motivated the development of the Sign Up Wallet a blockchain and machine learning based Self-Sovereign Identity model to manage digital identities. The emerging blockchain technology enables self-sovereign identity management, a decentralized identity management model that eliminates identity providers as a trusted third party and machine learning is used to find the trusted service provider. In this proposed system users store their digital identity in a Sign Up Wallet with cryptographic keys. When registering with a trusted service provider, a Unique Personal Identifier (UPI) Code is submitted for direct credential verification. Logistic Regression is used for predicting whether a website is trusted or not. If the service provider is untrusted, a masked credential is generated using a Lookup Substitution Algorithm, preserving privacy during verification. This masked credential is then provided to the service provider, allowing verification without exposing the raw data and maintaining user security
Efficient Fruit Calorie Measurement using Machine Learning
Authors: M. Nithish  , P. Kavitha  , S. Kamalakkannan
Published: July 2024

Food is undeniably a fundamental necessity for all living organisms on Earth. Humans, in particular, seek freshness, purity, and standard quality in their food. To ensure these standards are met, the food processing industry has implemented rigorous standards and automation processes. With a growing global awareness of the impact of diet on health, individuals are increasingly mindful of their dietary choices. An imbalanced diet can lead to various health issues such as weight gain, obesity, and diabetes. Consequently, there has been a surge in the development of systems aimed at analyzing food images to determine calorie and nutrition levels. In this paper, a food portion recognition system is employed to accurately measure calorie and nutrition values. Users simply need to capture a picture of the food, which is then analyzed to detect the type of food portion. This is achieved through segmentation techniques, including skull stripping, followed by classification using support vector machine algorithms. This comprehensive approach ensures precise determination of calorie content, as well as identification of the type of energy present in the food.Overall, this system represents a significant advancement in the field of dietary assessment, offering a seamless and accurate means of monitoring food intake and nutritional values
DNA as a Storage Medium for Efficient and Reliable Cloud Data Archieving
Authors: Sriram.S  , Dr. D. R. Krithika
Published: July 2024

On Earth right now, there are about 10 trillion gigabytes of digital data, and every day, humans produce emails, photos, tweets, and other digital files that add up to another 2.5 million gigabytes of data.Much of this data is stored in enormous facilities known as exabyte data centers (an exabyte is 1 billion gigabytes), which can be the size of several football fields and cost around $1 billion to build and maintain.Demand for data storage is growing exponentially, but the capacity of existing storage media is not keeping up.This project enables molecular-level data storage into DNA molecules by leveraging biotechnology advances in synthesizing, manipulating and sequencing DNA to develop archival storage. Additionally an effective algorithm is introduced using deoxyribonucleic acid (DNA)-based cryptography to enhance data security while sharing the data over the cloud
Smart Parking Management System
Authors: S. Jeevanantham  , Dr. D. R Krithika
Published: July 2024

The Smart Parking Management System (SPMS) is a cutting-edge solution that effectively tackles the persistent issues encountered in urban parking environments. By incorporating advanced technologies like Internet of Things (IoT), data analytics, and machine learning, the SPMS aims to optimize parking space utilization, mitigate traffic congestion, and improve overall user satisfaction. This abstract provides a comprehensive overview of the SPMS, outlining its key features such as real-time parking availability updates, seamless reservation capabilities, and integration with navigation apps. Furthermore, it highlights the system's contribution to sustainability efforts through the provision of electric vehicle charging infrastructure.In today's fast-paced world where time is of the essence, finding a suitable parking spot in urban areas can be quite daunting. The Smart Parking Management System (SPMS) comes as a breath of fresh air with its innovative approach to solving this problem. By utilizing state-of-the-art technologies like Internet of Things (IoT), data analytics, and machine learning algorithms, the SPMS aims to revolutionize how we park our vehicles in cities.At its core, the SPMS is designed to optimize parking space utilization while reducing traffic congestion. Through real-time updates on available parking spots via mobile applications or digital displays at car parks entrances/exits; drivers can effortlessly locate vacant slots without wasting precious time circling around aimlessly looking for one