bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of The Multifunctional Economic Value of Rice Field As Producers of Cultivation Media and Products/ Environmental Services in Sidoarjo District, East Java Province, Indonesia Year 2024
Authors: Patiung Markus , Wisnujati Nugrahini Susantinah
Published: January 2025

Rice fields managed by farmers or agricultural business actors provide cultivation benefits and environmental services. Research in Japan shows that the environmental benefits of rice fields reach 90%, much higher than its role as a cultivation medium which is only 10%. This study aims to examine the economic value of rice fields as a whole in three main aspects: (1) its value as a rice field medium, (2) its value as an environmental service, especially flood control, and (3) a comparison of these economic values. The method used is economic valuation through the Replacement Cost Method (MBP) and the calculation of farming profits. MBP is used to calculate the economic value of rice fields that do not yet have a market price. Meanwhile, the calculation of farming profits is to assess the cultivation benefits produced by rice fields. The results of the study show that (1) the economic value of rice fields as a rice field medium is IDR 24,750,000 per hectare per year. (2) As a provider of flood control, its economic value reaches IDR. 150,276,000 per hectare per year, and the conversion of 350 hectares could result in an annual loss of Rp. 52.6 billion. (3) The comparison of the economic value between rice fields as a planting medium and as a flood controller is 1:6, highlighting the important environmental benefits provided by rice fields
Peningkatan Transparansi Keuangan: Implementasi Sistem Informasi Akuntansi Berbasis Cloud
Authors: Komala Rina , Fahry Fahry , Elisa Nopa
Published: January 2025

This study explores the impact of implementing a cloud-based accounting information system on financial transparency in the tourism sector of Lombok Island. A mixed-methods approach was employed, including quantitative analysis of 120 businesses and qualitative interviews with 25 informants. The results revealed that 90% of respondents reported improved financial transparency after adopting cloud systems, highlighting operational efficiency, reporting accuracy, and ease of data access. However, challenges such as implementation costs, limited internet infrastructure, and a lack of local expertise remain significant barriers. This study recommends local training, subsidized implementation costs, and improved infrastructure to accelerate adoption. Cloud systems are expected to enhance not only financial transparency but also the competitiveness of small and medium enterprises in Lombok's tourism sector. This research contributes to developing relevant financial technology strategies to support digital transformation in Indonesia's tourism industry.
New Insights about Equilibrium Constants, pKa, of Purine Nitrogenous Bases: The Case of Adenine and Guanine. A UV-Vis Spectrophotometric Study at I = 0.4 M
Authors: Martínez Guerra Jorge , Rojas Hernández Alberto , Gon´zález Garrido Luis Diego , Ramírez Silva María Teresa
Published: January 2025

In the present work, novel experimental evidence about acidity constants has been found for adenine and guanine in aqueous medium. Despite being molecules widely studied there is some inconsistences about their chemical speciation in the literature. The study that we presented by UV-Vis spectrophotometry and subsequent data processing using the SQUAD software allowed the determination of three acidity constants for both adenine (pKa1 = 3.361± 0.102, pKa2 = 9.056 ± 0.091 y pKa3 = 10.132 ± 0.057) and guanine (pKa1 = 3.402± 0.028, pKa2 = 9.708 ± 0.022 y pKa3 = 12.721 ± 0.015) at ionic strength 0.4 M and T = (25.0 ± 0.1) °C. Being theses bases fundamental components of DNA and RNA, it is relevant to know in depth their physicochemical properties to improve the understanding of the biological processes involved in the transmission of genetic information, as well as their implications in medicine, biotechnology and molecular biology.
 
Resumen. En el presente trabajo se muestra evidencia experimental novedosa de las constantes de acidez de la adenina y de la guanina en medio acuoso. A pesar de ser moléculas ampliamente estudiadas existen algunas inconsistencias reportadas en la literatura acerca de su especiación química.   El estudio por espectrofotometría de UV-Vis y posterior tratamiento de datos usando el software SQUAD permitió determinar tres constantes de acidez tanto para la adenina (pKa1 = 3.361± 0.102, pKa2 = 9.056 ± 0.091 y pKa3 = 10.132 ± 0.057) como para la guanina (pKa1 = 3.402± 0.028, pKa2 = 9.708 ± 0.022 y pKa3 = 12.721 ± 0.015) a fuerza iónica 0.4 M y T = (25.0 ± 0.1) °C. Dado que estas bases nitrogenadas son componentes fundamentales del ADN y del ARN, es relevante conocer a profundidad sus propiedades fisicoquímicas para mejorar nuestro entendimiento en los procesos biológicos donde estas bases se encuentran involucradas por ejemplo; en la transmisión de información genética así como sus implicaciones en campos como la medicina, biotecnología y la biología molecular.
Tetracycline Speciation Study in Aqueous Medium
Authors: González-Garrido Luis Diego , Guzmán-Hernández Dafne Sarahia , Rojas-Hernández Alberto , Rodríguez-Barrientos Damaris , Juárez-Gómez Jorge , Ramírez Silva María Teresa
Published: January 2025

Tetracycline is a broad-spectrum antibiotic considered an emerging contaminant with major effects on human health and the ecosystems. Using the techniques of UV absorption spectroscopy and capillary zone electrophoresis, the characterization of tetracycline in aqueous medium is presented. Likewise, four acidity constants were determined: pKa1 = (3.277 ± 0.067), pKa2 = (7.397 ± 0.055), pKa3 = (9.349 ± 0.039) and pKa4 = (11.278 ± 0.024). Finally, capillary zone electrophoresis corroborates the predominance of five tetracycline species (TcH4+, TcH3, TcH2-, TcH2- and Tc3-) and presents a proposal for the deprotonation mechanism for tetracycline in aqueous medium.
 
Resumen. La tetraciclina es un antibiótico de amplio espectro, considerado como contaminante emergente con grandes afectaciones a la salud humana y el ecosistema. Mediante las técnicas de espectroscopía de absorción de UV y electroforesis capilar de zona se presenta la caracterización de la tetraciclina en medio acuoso. Así mismo se determinaron cuatro constantes de acidez: pKa1 = (3.277 ± 0.067), pKa2 = (7.397 ± 0.055), pKa3 = (9.349 ± 0.039) y pKa4 = (11.278 ± 0.024). Finalmente, a partir de electroforesis capilar de zona se corrobora el predominio de cinco especies de tetraciclina (TcH4+, TcH3, TcH2-, TcH2- y Tc3-) y se presenta una propuesta del mecanismo de desprotonación para tetraciclina en medio acuoso.
Contribution to the Electrochemical Sensors and Biosensors field by the Electrochemical and Analytical Chemistry research areas at UAM-I
Authors: Valdés-Ramírez Gabriela , Hernández-Ramírez Francisco , Galicia Laura
Published: January 2025

An overview of the electrochemical sensors and biosensors developed at Universidad Autónoma Metropolitana Unidad Iztapalapa, is summarized by describing the principal contributions in the field performed by the Electrochemistry and Analytical Chemistry research areas of the Chemistry Department. Here, we divided the contributions into four main groups: fabrication and characterization of surfaces, electrochemical sensors and biosensors with environmental applications, electrochemical sensors and biosensors with applications in the food industry, and electrochemical sensors and biosensors with biomedical applications in the healthcare industry; the foundation of the Institution, the creation of the Electrochemistry and Analytical Chemistry research areas, and the first electrochemical sensor development at the institution are cited in the historical context of the scientific electrochemical sensors and biosensors timeline.
 
Resumen. Una visión general de los sensores y biosensores electroquímicos desarrollados en la Universidad Autónoma Metropolitana Unidad Iztapalapa, se resume describiendo los principales aportes en el campo realizados por las áreas de investigación de Electroquímica y Química Analítica del Departamento de Química de esta institución. Hemos dividimos las contribuciones en cuatro grupos principales: fabricación y caracterización de superficies, sensores y biosensores electroquímicos con aplicaciones ambientales, sensores y biosensores electroquímicos con aplicaciones en la industria alimentaria, y sensores y biosensores electroquímicos con aplicaciones biomédicas en la industria para el cuidado de la salud; la creación de la Institución, las áreas de investigación de electroquímica y química analítica, así como el primer sensor electroquímico desarrollado en la Institución, se citan en el contexto histórico de la cronología científica de los sensores y biosensores electroquímicos en el mundo.
Non-Isocyanide-Based Three-Component Reactions: From Strecker to Nowadays
Authors: Morales-Salazar Ivette , Bouillon Jean-Philippe , González-Zamora Eduardo , Islas-Jácome Alejandro
Published: January 2025

Almost two centuries have passed since Strecker synthesized for the first time the α-aminoacid DL-alanine via a sequential combination of acetaldehyde with aqueous ammonia and hydrogen cyanide, coupled to a further hydrolysis of the resulting α-aminonitrile using an acid aqueous solution. Since then, a broad variety of high valued products in various fields of science and technology have been synthesized via three-component reactions (3CRs) or via one-pot methodologies involving 3CRs coupled smartly to further processes like functionalizations, condensations, cross couplings, cyclizations, ring openings, and so on. In the same way, very interesting and useful computational calculations behind understanding reaction mechanisms related to 3CRs, conformational analyses, and energy profiles have been performed. All these topics are on the scope of the present review, which covers selected and elegant based 3CRs (except for the Ugi-3CR or its variants), and other unclassified 3CR-based works from 2010 to nowadays.
 
Resumen. Han pasado casi dos siglos desde que Strecker sintetizó por primera vez el α-aminoácido DL-alanina mediante una combinación secuencial de acetaldehído con amoníaco acuoso y cianuro de hidrógeno, acoplada a una hidrólisis posterior del α-aminonitrilo resultante utilizando una solución acuosa ácida. Desde entonces, se ha sintetizado una amplia variedad de productos de gran valor en diversos campos de la ciencia y la tecnología mediante reacciones de tres componentes (3CR) o mediante metodologías en un mismo reactor que implican 3CR acopladas a procesos posteriores como funcionalizaciones, condensaciones, acoplamientos cruzados, ciclizaciones, aperturas de anillos, etc. Del mismo modo, se han realizado cálculos computacionales muy interesantes y útiles para comprender los mecanismos de reacción relacionados con 3CR, análisis conformacionales y perfiles energéticos. Todos estos temas están dentro del alcance del presente artículo de revisión, que considera trabajos seleccionados y elegantes basados en 3CRs (excepto Ugi-3CR o sus variantes), y otras 3CRs no clasificadas desde 2010 hasta la actualidad.
Disclosure of HIV Status and Associated Factors Among People Living With HIV/AIDS (PLWHA) in Ibadan, Nigeria
Authors: Temitayo-Oboh AO , Adedokun OO , Asuzu MC
Published: January 2025

Background: HIV-positive status disclosure has many potential benefits, including increased opportunities for social support, implementation of risk reduction with partners, and improved access to antiretroviral treatment.
Objective: To assess the disclosure status and factors associated with HIV-positive status disclosure among people living with HIV/AIDS (PLWHA) in Ibadan, Southwest Nigeria.  
Methods: This descriptive-exploratory cross-sectional study was conducted among PLWHA and assessed antiretroviral therapy at Adeoyo Maternity Hospital, Ibadan. A total of 440 respondents were recruited using a systematic random sampling method. Data was collected using a pre-tested interviewer-administered questionnaire.
Results: The mean age of respondents was 33.4±7.8 years. The majority (375; 85.2%) had disclosed their HIV status to at least one significant person, of which 299 (68.0%) informed their sexual partners. Educated respondents were five times more likely to disclose their status than those uneducated (OR = 5.43). Employed respondents were less likely to disclose their status compared to those who were unemployed (OR = 0.13). Respondents whose partners were HIV positive (OR = 2.89) and those whose partners were HIV negative (OR = 3.55) were more likely to disclose their status compared with those whose partners' HIV status was unknown.
Conclusion: Interventions and adherence counselling should continue to encourage HIV status disclosure, especially among uneducated, employed, and those unaware of the HIV status of their partners.
Novel Continuous Terminal Sliding Mode Observer Based Sensorless Speed Control of PMSM Drive System
Authors: Junejo Abdul Khalique , Koondhar Mohsin Ali , Siddiqui Rizwan Aziz , Kaloi Ghulam Sarwar , Bijarani Muhammad Ali
Published: January 2025

The permanent magnet synchronous motor (PMSM) control is demanding task because, which is a nonlinear multivariable coupling system. The vector control has been widely used in the control of PMSM system, where the rotor position information is needed for close loop control system. The mechanical sensors are used for rotor position, which increased the cost of the system. These sensors can be eliminated by adopting the sensorless control methods. In this paper a new continuous terminal sliding mode observer (CTSMO) based speed sensorless control method is proposed, which is substitute of the conventional SMO (CSMO). The suggested the CTSMO is robust against parametric change and load disturbances, which is used to estimate the speed and rotor position from the back EMF (BEMF) of the PMSM system. The conventional SMO needs the low pass filter (LPF), position compensation techniques and sigmoid function instead of sign function to decrease the chattering phenomena. To eliminate the chattering phenomena effectively the new CTSMO based speed sensorless method is designed in this paper, which has also ability of minimization of the speed and rotor position error. The stability of the proposed technique is analyzed by Lyapunov function, the simulation have been carried out for the validation of the suggested technique.
A Study on the Influence of Task Complexity on Interactive Discourse Behavior and Engagement in L2 Peer Collaborative Writing
Authors: Hang DONG
Published: January 2025

This study takes 36 Chinese foreign language learners as the research subjects, and examines the influence of task complexity on their interactive discourse behavior (brief feedback, collaborative contribution, cooperative co-construction) and engagement (cognitive engagement, affective engagement, social engagement) in L2 peer collaborative writing. The findings indicate that: (i)Task complexity significantly affects brief feedback and collaborative contribution, but not cooperative co-construction. Specifically, the simple task obviously generates more brief feedback and collaborative contribution; (ii) Task complexity significantly affects learners’ cognitive and affective engagement, but not social engagement. Specifically, learners obviously demonstrated higher cognitive and affective engagement in the simple task. This study demonstrated the impact of task complexity on L2 peer interaction performance in the process of cooperative writing from both macro and micro levels, with the aim of providing insights for the practice and research of foreign language interactive teaching.
Evaluating AI and ML in Cybersecurity: A USA and global perspective
Authors: Afees Olanrewaju Akinade  , Peter Adeyemo Adepoju  , Adebimpe Bolatito Ige  , Adeoye Idowu Afolabi
Published: January 2025

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in cybersecurity represents a paradigm shift in the approach to defending against evolving cyber threats. This paper provides a succinct overview of the evaluation of AI and ML applications in cybersecurity, examining perspectives both within the United States and globally. The United States, as a forefront leader in technological innovation, has witnessed a rapid adoption of AI and ML solutions to enhance cybersecurity measures. From advanced threat detection to real-time incident response, these technologies have demonstrated their efficacy in augmenting the capabilities of cybersecurity professionals. This paper explores the specific use cases, challenges, and successes of AI and ML applications within the diverse landscape of cybersecurity in the United States. On a global scale, the evaluation extends beyond national borders, encompassing the diverse cybersecurity strategies and challenges faced by countries worldwide. The paper delves into the varying degrees of AI and ML integration, highlighting the shared benefits and unique considerations for different regions. The global perspective emphasizes collaborative efforts, information sharing, and the role of international partnerships in addressing cyber threats collectively. Throughout this evaluation, key themes such as the ethical implications of AI and ML, the need for explainability in automated decision-making, and the continuous evolution of cyber threats are explored. The paper concludes by emphasizing the significance of ongoing research, collaboration between nations, and the establishment of ethical frameworks to ensure responsible and effective integration of AI and ML in global cybersecurity efforts.
Risk factors for chronic kidney disease in primary care: A comprehensive review
Authors: Botir Turg’unpulatovich Daminov  , Nodrbek Ulug’bekovich Kayumov
Published: January 2025

Chronic Kidney Disease (CKD) is a significant global health challenge, with increasing prevalence and a high burden of associated morbidity and mortality. Early detection and management of CKD are essential in preventing its progression to end-stage renal disease, which often requires dialysis or transplantation. Primary care settings play a pivotal role in the early identification and management of CKD, given their accessibility and the opportunity for preventative care. This article aims to identify and review the key risk factors for CKD in primary care populations. A comprehensive literature review was conducted using data from peer-reviewed articles, clinical guidelines, and epidemiological studies, with a focus on demographic, medical, lifestyle, and genetic risk factors. The review highlights hypertension, diabetes, obesity, family history, and ethnicity as major contributors to CKD risk. Additionally, modifiable factors such as diet, smoking, and physical inactivity are emphasized. The findings underscore the importance of regular screening and early intervention in primary care to mitigate CKD progression. Primary care practitioners must prioritize CKD risk assessment, raise awareness about preventive strategies, and manage comorbidities effectively. Addressing these risk factors at the primary care level could significantly reduce the overall burden of CKD, improve patient outcomes, and alleviate healthcare costs. Public health strategies must focus on promoting early detection and equitable access to care for at-risk populations.
Detection of genetic determinants of extended-spectrum beta-lactam resistance in Klebsiella pneumoniae and Escherichia coli strains from cattle feces in the Haut-Sassandra region, central-west of Côte d'Ivoire
Authors: Innocent Allepo ABE  , Flora YAO  , Félix Kouadio YEBOUE  , Barkissa TRAORE  , Thomas KONAN  , Mathurin KOFFI
Published: January 2025

As in human health, beta-lactams are widely used molecules in veterinary medicine for the treatment of bacterial infections. This study conducted in the Haut-Sassandra region of Côte d'Ivoire aims to investigate the extended-spectrum beta-lactamase resistance of Klebsiella pneumoniae and Escherichia coli strains isolated from cattle excrement. Fecal samples from cattle were collected in the Daloa and Zoukougbeu departments. Fifty cattle fecal samples were collected across the two departments, including thirty-six in Daloa and fourteen in Zoukougbeu. Bacterial cultures were performed on these fecal samples, followed by molecular detection of ESBL resistance genes using PCR. In total, 19 strains of Escherichia coli and 31 strains of Klebsiella pneumoniae were isolated from these fecal samples. The results showed that 15.79 % of E. coli isolates and 41.93 % of K. pneumoniae presented ESBL resistance genes, primarily the blaCTX-M and blaTEM genes. Electrophoretic analysis confirmed the presence of these genes, with a predominance of the blaCTX-M gene. The irrational use of antibiotics in cattle farming is a key factor contributing to the emergence of resistant bacteria. The study highlights the importance of increased monitoring of antibiotic resistance and calls for urgent actions to counter this growing threat to public and animal health. The results also suggest that integrated strategies based on the "One Health" concept are necessary to effectively combat antibiotic resistance in this region. In conclusion, this research sheds light on the challenges posed by antibiotic resistance in the livestock sector and the need for a collaborative approach to improve health outcomes.
Immersive augmented reality strategy in digital smart tourism: A case study of Fujian Province, China
Authors: Yi-Sheng Wang
Published: January 2025

The immersive augmented reality of digital smart tourism is a relatively new tourism strategy that has not been fully explored in tourism academic research. However, it is unclear why the immersive AR strategy of digital smart tourism has attracted so many tourists. Due to our lack of clarity on the strategies that drive tourist behavior, we believe it is crucial to explore these strategies in order to gain a deeper understanding. The purpose of this study is to explore in depth the special context and unique strategy of immersive augmented reality in digital smart tourism, and to propose an insight into interpreting the contextualized experience model. This study conducted field observations through interviews and personal travel to Fujian, China. Research has found a contextualized experiential orientation. The theoretical contribution is the insight into establishing an immersive augmented reality experience model for digital smart tourism.
Virtual reality and augmented reality: A comprehensive review of transformative potential in various sectors
Authors: Adeoye Idowu Afolabi  , Adebimpe Bolatito Ige  , Afees Olanrewaju Akinade  , Peter Adeyemo Adepoju
Published: January 2025

Virtual Reality (VR) and Augmented Reality (AR) have emerged as groundbreaking technologies with transformative potential across diverse sectors. This comprehensive review explores the multifaceted applications of VR and AR, highlighting their impact on industries ranging from healthcare and education to manufacturing and entertainment. In healthcare, VR and AR technologies are revolutionizing medical training, treatment planning, and patient care. Surgeons use VR simulations for intricate procedures, enhancing their skills in a risk-free environment. AR aids in medical imaging, providing real-time overlays during surgeries, thus improving precision. These technologies are also utilized for therapeutic interventions, offering immersive experiences for patients dealing with pain management or mental health challenges. Education experiences a paradigm shift through VR and AR, offering immersive learning environments. Virtual field trips, simulated experiments, and interactive 3D models enhance students' understanding of complex subjects. AR applications overlay information in real-time, providing contextual insights during lectures or hands-on activities. These technologies democratize access to quality education, transcending geographical barriers. In manufacturing and engineering, VR and AR play pivotal roles in design, prototyping, and training. Engineers visualize complex structures in 3D, facilitating collaborative design processes. VR simulations emulate real-world scenarios, optimizing training for technicians and reducing errors in production. AR-enhanced maintenance procedures provide technicians with instant access to relevant information, improving efficiency. The entertainment industry undergoes a revolution with immersive experiences offered by VR. Gaming experiences reach new heights, blurring the lines between reality and virtual worlds. VR cinemas and interactive storytelling redefine narrative experiences. AR enhances live performances and sports events, adding layers of information for audiences. Retail experiences a transformation through AR applications, offering customers virtual try-ons and personalized shopping experiences. VR enables virtual showrooms and immersive product presentations. In real estate, VR facilitates virtual property tours, enhancing the decision-making process for buyers and investors. As these technologies continue to evolve, the review explores challenges, including ethical considerations, privacy concerns, and the need for standardized development practices. In conclusion, the transformative potential of VR and AR extends across sectors, reshaping industries, enhancing experiences, and pushing the boundaries of what is possible. The ongoing integration of these technologies holds the promise of a future where immersive, interactive, and intelligent experiences become integral to our daily lives.
Evaluating the accuracy of APRI and FIB-4 scores in chronic HBV-related liver fibrosis: A literature review
Authors: Willandra Fitriyanri Ghaniyya  , Ira Humairah  , Ulfa Kholili
Published: January 2025

Chronic hepatitis B virus (HBV) infection poses significant risks to liver health, often progressing to complications such as fibrosis, cirrhosis, and hepatocellular carcinoma. Accurate assessment of liver fibrosis is essential for guiding treatment decisions and improving patient outcomes. Non-invasive scoring systems like the AST to Platelet Ratio Index (APRI) and the Fibrosis Index Based on 4 Factors (FIB-4) have emerged as reliable alternatives to invasive liver biopsy. These tools utilize readily available biomarkers to classify patients based on fibrosis severity, supporting early intervention and reducing the risks associated with traditional diagnostic methods.
This review evaluates the diagnostic performance of APRI and FIB-4 in chronic HBV-related liver fibrosis. Studies indicate that while APRI is valued for its simplicity, FIB-4 demonstrates superior sensitivity and specificity, particularly in older populations. Both scores show strong correlations with histological findings and serve as effective tools for diagnosing significant fibrosis and cirrhosis. However, factors such as liver inflammation, comorbidities, and variable fibrosis distribution can influence their accuracy, highlighting the need for careful interpretation.
Comparison with advanced methods like FibroScan® underscores the limitations of biochemical indices alone and the importance of combining multiple diagnostic approaches. Future research should focus on longitudinal studies and algorithm optimization to enhance the utility of these non-invasive tools. Integrating APRI and FIB-4 into clinical practice offers a cost-effective and accessible strategy for managing chronic HBV-related liver fibrosis, ultimately improving patient care and outcomes
Restorative justice practices: Bridging the gap between offenders and victims effectively
Authors: Adebobola Omowon  , Alaba Samson Kunlere
Published: January 2025

Restorative justice practices offer an alternative approach to addressing crime by focusing on repairing harm, fostering accountability, and rebuilding relationships between offenders, victims, and the community. Unlike traditional punitive justice systems, restorative justice emphasizes dialogue, empathy, and understanding, creating opportunities for mutual healing and resolution. By involving all stakeholders, it seeks to address the underlying causes of criminal behaviour while empowering victims to voice their experiences and needs. This approach has demonstrated significant benefits, including reduced recidivism rates, enhanced victim satisfaction, and strengthened community cohesion. At its core, restorative justice revolves around practices such as victim-offender mediation, community conferencing, and restorative circles. These practices encourage offenders to acknowledge the impact of their actions, take responsibility, and actively participate in repairing the harm caused. Victims, in turn, gain a platform to express their emotions, ask questions, and seek closure, which is often absent in traditional justice systems. Despite these advantages, restorative justice faces challenges, including societal biases, inconsistent implementation, and the need for adequate training and resources for facilitators. This paper examines restorative justice practices from a broader perspective, analysing their theoretical foundations and societal implications. It then narrows the focus to explore their practical application in bridging the gap between offenders and victims. Drawing on case studies and empirical research, it highlights effective strategies, potential barriers, and the transformative potential of restorative justice in creating equitable and empathetic justice systems. The findings emphasize the critical need for integrating restorative practices into mainstream legal frameworks to promote healing, accountability, and community resilience.
One visit gingivectomy and gingival depigmentation: A case report
Authors: Ernie Maduratna Setiawatie  , Shafira Kurnia Supandi  , Lambang Bargowo  , Esi Yuniza Fitrina  , Serafim Autumn Putrifajar  , Dyah Ayu Laksmi Swandari
Published: January 2025

Introduction: A charming smile is formed through the harmonious relationship between teeth and gums. Short clinical crowns, dark gingival tissue, and diastema between the maxillary central incisors can detract from a smile's appearance. This case study explains the use of a scalpel to perform gingivectomy and gingival depigmentation as part of periodontal plastic surgery in a one visit to enhance aesthetic outcomes.
Case Report: A 28-year-old man presented with complaints that his maxillary front teeth looked short and his gums were black, causing him to lose confidence. The diagnosis is gingivitis on an intact periodontium with other conditions such as gingival enlargement and hyperpigmentation of the gingiva. The treatment plan was to perform a gingivectomy along with gingival depigmentation using a conventional technique with a scalpel in one visit.
Case management: Gingivectomy and gingival depigmentation were performed under local infiltration anesthesia using a scalpel. The surgical site was covered with a periodontal pack, which was removed seven days post-surgery. A 7-month follow-up showed excellent healing, and the patient expressed satisfaction with the results.
Conclusion: Gingivectomy accompanied by gingival depigmentation using a scalpel in a one visit yields satisfactory outcomes for patients.
Strengthening primary care infrastructure to expand access to preventative public health services
Authors: Simeon Ayo-Oluwa Ajayi  , Olayemi Oluwatosin Akanji  , Oluwaleke Akinwale  , Frank Nwaogelenya Opia  , Philip Bitrus Kaya  , Onyeka Mary Ukpoju-Ebonyi  , Jean-Marie Akor Ebonyi
Published: January 2025

The focus of this paper was to advocate for enhancement of the primary care system in order to increase the uptake of preventive public health services, with a special emphasis on underserved communities and marginalized people, including the LGBTQ+ community. The goals of this study were; to assess the contribution of primary care in the accessibility of preventive measures, the barriers to primary care access, a dive into case studies and provide policy and practice focused recommendations. The method was based on a literature review conducted across the period of 2014-2024; and sourced from materials covered in more than 4 authoritative databases such as PubMed, Google Scholar, JSTOR, The Lancet, and institutional repositories regarding the subject of this integration of primary care and public health. The research emphasized how much resources had to be invested to develop appropriate infrastructure were suggested to be made to provide a preventive health outcome through better access to essential services like screenings and vaccinations. However, these populations also faced numerous challenges faced by all the other communities such resource reduction, poor training, stigma and discriminatory policies. The paper called for enhanced investment in primary care facilities, especially by promoting telehealth and community awareness programs in poorer neighborhoods. As the research showed, improving primary care infrastructure not only increases the availability of preventive health services but also decreases the lifetime costs of accessing healthcare services and advances healthcare egalitarianism within populations.
Exploring continuous integration and deployment strategies for streamlined DevOps processes in software engineering practices
Authors: Azeezat Raheem  , Adeola Mercy Osilaja  , Ikeoluwa Kolawole  , Victor Eyo Essien
Published: January 2025

Continuous Integration (CI) and Continuous Deployment (CD) have become fundamental practices in modern software engineering, driving efficiency and reliability in DevOps processes. These strategies emphasize automation, collaboration, and iterative delivery to streamline the development lifecycle, ensuring that software updates are delivered rapidly and consistently. This paper explores advanced CI/CD strategies to optimize DevOps workflows, reduce deployment risks, and enhance the agility of software engineering teams. The study begins with an overview of CI/CD principles, highlighting their role in automating testing, integration, and deployment. It examines common challenges in implementing CI/CD pipelines, including managing dependencies, ensuring test reliability, and handling rollback scenarios. By analysing industry case studies, the research showcases successful implementations of CI/CD pipelines in diverse sectors, detailing the tools, frameworks, and practices that contributed to their success. Key innovations, such as containerization with Docker, orchestration using Kubernetes, and the integration of artificial intelligence for predictive analytics, are discussed as enablers of advanced CI/CD processes. The paper also addresses organizational challenges, such as aligning cross-functional teams and fostering a DevOps culture that prioritizes collaboration and continuous improvement. To ensure long-term success, the study emphasizes the importance of metrics and monitoring in CI/CD pipelines, such as deployment frequency, mean time to recovery, and change failure rate. The paper concludes by presenting a roadmap for evolving CI/CD strategies to meet the demands of increasingly complex software systems and rapid technological advancements. This research offers actionable insights for DevOps practitioners and software engineers aiming to streamline development and delivery processes, fostering innovation and resilience in competitive development environments.
Optimizing communication strategies for nonprofits in Missouri: A case study on united 4 children’s messaging and audience engagement
Authors: Abisola Precious Popoola
Published: January 2025

Nonprofit organizations operate in complex environments that demand tailored communication strategies to engage diverse audiences effectively. This study presents an analysis of United 4 Children’s (U4C) communication approach, utilizing data-driven insights to enhance their messaging strategies. Employing demographic segmentation, audience persona development, and analysis of communication channel preferences, this research identifies actionable recommendations for optimizing outreach. Key findings emphasize the importance of a hybrid marketing strategy, prioritizing social media, leveraging community networks, and continuous feedback loops to refine messaging. These strategies aim to enhance U4C's mission impact while benefiting from increased audience engagement and participation.
Exploring digital therapeutics for mental health: AI-driven innovations in personalized treatment approaches
Authors: Aisha Katsina Isa
Published: January 2025

Digital therapeutics have emerged as a transformative approach in addressing mental health challenges, offering evidence-based, technology-driven interventions. As mental health disorders become increasingly prevalent globally, traditional methods of treatment often fail to meet the growing demand due to limited accessibility, stigmatization, and resource constraints. Digital therapeutics leverage advanced technologies, including artificial intelligence (AI), to bridge these gaps, providing scalable and personalized mental health solutions. AI has revolutionized this domain by enabling adaptive, data-driven interventions that cater to individual needs, ranging from mood disorders to complex conditions like post-traumatic stress disorder (PTSD) and depression. At a broader level, digital therapeutics represent a paradigm shift in healthcare, transitioning from generalized care models to highly personalized and proactive frameworks. AI-driven innovations, such as natural language processing (NLP), predictive analytics, and machine learning algorithms, have enhanced the efficacy of digital mental health tools by facilitating real-time monitoring, symptom analysis, and tailored therapeutic recommendations. These innovations integrate seamlessly with wearables, mobile applications, and virtual reality, providing patients with accessible and engaging platforms for mental health management. However, while AI-based digital therapeutics show immense promise, challenges remain. Ethical concerns about data privacy, bias in AI algorithms, and equitable access need to be addressed to maximize their potential. Additionally, integrating these tools into existing healthcare systems requires alignment with regulatory frameworks and clinician support. By narrowing the focus to personalized treatment approaches, this paper explores how AI-driven digital therapeutics can advance mental health care, providing actionable insights into creating more inclusive, effective, and accessible interventions.
Thermal energy of plant biomass, its components, and secondary biofuels
Authors: Michael Ioelovich
Published: January 2025

The main purpose of this article was to study the content of thermal energy (Q)and energy density (ED) in various biomass types, in the biomass components such as cellulose, hemicelluloses, lignin, and some other substances, as well as, in biomass-based secondary biofuels, solid (bio-char), liquid (bio-alcohols, bio-gasoline, biodiesel fuels), and gaseous (bio-hydrogen, bio-methane, syngas). For this purpose, methods of chemical thermodynamics were used. It was found that the increased content of lignin, lipids, resins, and waxes in the biomass contributes to its high Q value, while moisture and ash reduce the Q value of the biomass. A method of additive contributions of thermal energies of main biomass components is proposed to calculate the Q value of the biomass sample. Considerable attention is also paid to studying thermal energy content in cellulose derivatives, and secondary solid, liquid, and gaseous biofuels. The Q and ED values of biochar obtained from biomass are significantly higher than those of the initial biomass. Of the various liquid fuels, bio-gasoline synthesized from synthesis gas by the Fischer-Tropsch method has the largest amount values of Q and ED. Among the various biogases, bio-hydrogen has no competitors because of its enormous thermal energy content. However, if the value of energy density is calculated, then bio-methane comes out on top.
Random Under Sampling for Performance Improvement in Attack Detection on Internet of Vehicles Using Machine Learning
Authors: Anargya Muhammad Alden Nayef , Ghozi Wildanil , Rafrastara Fauzi Adi
Published: January 2025

The Internet of Vehicles (IoV) technology is one of the advancements derived from the Internet of Things (IoT) in the transportation sector, benefiting its users. However, the development of this technology cannot be separated from various security threats, particularly Denial of Service (DoS) and spoofing attacks. Given these threats, it is crucial to continuously develop methods used for detecting attacks on IoV systems. Several researchers have conducted research related to attacks and threats on IoV systems, and one such study resulted in a dataset called CICIoV2024. This dataset has an imbalanced class distribution. This study aims to examine the implementation of Random Under-Sampling to improve the performance of classification algorithms in detecting attacks on IoV systems. The algorithms used in this study include Decision Tree, K-Nearest Neighbors (KNN), and Random Forest. The test results show that the Random Forest algorithm achieved the best results with an accuracy of 98.5% and an F1-Score of 98.5%.
Sistem Monitoring Pertumbuhan Tanaman Sawi Menggunakan Artificial Intelligence Pada Aquaponik
Authors: Deviana Lyla Putri , Styawati Styawati
Published: January 2025

Modern agriculture increasingly relies on technology to increase efficiency and productivity. Aquaponics, a sustainable farming method that combines fish and plant farming, has emerged as one promising approach. To maximize yield in an aquaponics system, monitoring plant growth becomes very important. In this context, Artificial Intelligence (AI) offers innovative solutions to monitor and optimize plant growth in realtime. AI-based aquaponics technology is designed portably so that it allows people to grow crops inside and outside the home. AIbased aquaponics technology uses a camera that functions to monitor plants in real-time. The data on the camera will be processed and analyzed by the AI system so that automatic monitoring of the plant growth environment in the system can be carried out. Where will output results that show whether the leaves are still fresh, immediately wither Using CNN's deep learning method, this technology contributes to sustainable food production with higher efficiency in managing resources.  This system can increase productivity and strengthen food security in the face of future challenges. This aquaponics technology can make a significant contribution to the development of sustainable agriculture and can provide guidance and inspiration for agricultural and food industry players. By optimizing food production through AI-based aquaponics systems, communities can face global food security challenges and move towards more environmentally friendly, efficient, and sustainable solutions for the future.
Pengembangan Motor IoT untuk Pemantauan Kecepatan dan Pemeliharaan Melalui Telegram
Authors: Pranata Rangga , Styawati Styawati
Published: January 2025

This research focuses on developing Motor IoT as an advanced solution for real-time motor speed monitoring and maintenance notifications via Telegram. The research method includes installing a magnetic sensor on the motor to measure wheel rotation and produce accurate speed data. The data is sent to the IoT platform and integrated with Telegram, providing users with speed monitoring information as well as providing timely maintenance notifications. In addition, this system monitors the overall condition of the motorbike. The results of research and testing show that Motor IoT can be used and applied to motorized vehicles with the ability to provide accurate information and efficient maintenance notifications. The use of IoT and Telegram technology provides an effective solution for monitoring motor performance, optimizing maintenance and reducing potential damage. IoT motorbikes not only increase the efficiency of using motorized vehicles, but also contribute to minimizing the risk of damage and increasing the overall service life of motorbikes. In addition, the magnetic sensor was successfully integrated with the motor monitoring and maintenance system via Telegram, providing appropriate responses to predetermined conditions. This system is also able to send notifications to Telegram when the motorbike is started, providing information on the distance traveled by the user, with reminders to change the oil every 1000 kilometers. This research produces innovations that can have a positive impact on the automotive industry and user welfare.
Analisis Sentimen Terhadap Calon Presiden Indonesia 2024 dengan Metode Extreme Gradient Boosting (XGBOOST)
Authors: Yulistiani Yulistiani , Styawati Styawati
Published: January 2025

In 2024, Indonesia will implement democracy in the election of the Indonesian head of state. Any political figure who runs for head of state and calculates his popularity based on public opinion. After the General Election Commission (KPU) released the names of the 2024 Indonesian presidential candidates, these names were widely discussed, especially on social networks, one of which was Twitter. Twitter or what is often called X is a platform that provides short, concise and clear information. Twitter users responding to the 2024 presidential candidate have different opinions on Twitter. The sentiments used are positive, negative and neutral. The method used to analyze public opinion with data processed on Twitter social media uses Extreme Gradient Boosting (XGBOOST), classifying tweet test data in the form of classification with prediction output with accurate values. This research takes Twitter data to see public opinion on presidential candidates. The aim of this research is to determine the process of digital text analysis and the application of the XGBOOST method to Twitter user sentiment in two categories (positive and negative) and three categories (positive, negative and neutral) for each candidate, namely Ganjar Pranowo, Anies Baswedan and Prabowo Subianto. The results show an accuracy of 0.96%, precision of 0.96% and recall of 0.97%.
Sistem Informasi Administrasi Pada Teguh Motor Berbasis Mobile Web
Authors: Sugiantoro Sigit
Published: January 2025

Bengkel Teguh Motor adalah salah satu usaha dalam bidang pelayanan jasa layanan perbaikan sepeda motor yang ada di Surabaya barat. banyak kendaraan sepeda motor yang memperbaiki di Teguh Motor sehingga banyak antrian layanan perbaikan menjadi kendala yang dihadapi oleh pihak bengkel. Penelitian ini bertujuan untuk membuat Sistem Informasi Administrasi berbasis Mobile Web yang bisa menyelesaikan kendala-kendala pada Teguh Motor. Sistem informasi yang dihasilkan memiliki fitur layanan perbaikan, status layanan perbaikan, informasi tagihan layanan perbaikan, dan pemenuhan sparepart. Kesimpulan dari penelitian ini adalah Sistem Informasi Administrasi Pada Teguh Motor memberikan informasi antrian serta pemesanan layanan perbaikan tanpa harus datang ke bengkel Teguh Motor.