bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring Jordanian university lecturers’ TPACK knowledge: Integrating ICT for teaching English pronunciation
Authors: Almithqal Eyad Ahmad , John Tomasz
Published: November 2024

This study investigates the technological knowledge (TK) of university lecturers in Jordan concerning the integration of information and communications technology (ICT) tools in teaching English pronunciation. Employing a mixed-methods approach, data were collected through questionnaires and semi-structured interviews to evaluate lecturers’ understanding and use of ICT for pronunciation instruction. The findings indicate moderate competence in technology integration, with nearly half of the participants feeling confident in using ICT for pronunciation teaching. However, a significant percentage reported insufficient knowledge, especially in selecting effective tools. Analysis revealed no statistically significant differences in TK based on gender or teaching experience, suggesting these factors do not influence technological competence. Challenges included limited access to specialized pronunciation software and a reliance on basic tools like PowerPoint and interactive whiteboards. Thematic analysis of interview data highlighted obstacles such as a lack of ICT training, unfamiliarity with pronunciation-specific tools, and difficulties in evaluating tool effectiveness. Many lecturers expressed a need for advanced resources and training, while others relied on peer support to address gaps. This study emphasizes the necessity for enhanced resources and targeted training initiatives to improve ICT integration in pronunciation teaching. Future research should explore strategies to strengthen lecturers’ TK, particularly regarding ICT’s role in higher education contexts.
Examination of prospective teachers’ views, attitudes, and practices towards the history and philosophy of science course
Authors: Şipşak Ebru , Taylan Koparan Ezgi , Koparan Timur
Published: November 2024

The history and philosophy of science course is among the very important courses for prospective teachers in terms of understanding the development of science, evaluating its social and cultural context, developing scientific thinking skills, and better understanding and teaching scientific knowledge. Studies on this subject are important in terms of teaching planning and development. This research aimed to examine prospective teachers’ opinions, attitudes and practices towards the history and philosophy of science course. The study group, conducted within the scope of a special case study, consists of 54 prospective teachers studying at a state university in different programs in the 2020-2021 academic year. An opinion form prepared by taking expert opinions, the history of science attitude scale and lesson plans prepared by prospective teachers were used as data collection tools. Additionally, semi-structured interviews were conducted and recorded with six prospective teachers. The data obtained from the opinion form, interviews and lesson plans were analyzed qualitatively and codes, categories and themes were created. The findings obtained were interpreted and supported by direct quotations. The data obtained from the attitude scale was analyzed with the SPSS program. The findings revealed that the attitudes towards the history and philosophy of science course were generally positive, the course content was sufficient, and the prospective teachers found the course fun, interesting, intriguing, and very useful in terms of questioning and developing different perspectives. In line with the results obtained, suggestions were made to educators and researchers.
Painful shoulder syndrome and upper limb function in competitive swimmers
Authors: Pozarowszczyk-Kuczko Beata , Kumorek Martyna , Mroczek Dariusz , Clemente Filipe , Dziubek Wioletta
Published: November 2024

Introduction. Swimming is an athletic discipline that largely involves the upper limbs. Due to the driving and propulsive function, there is a heavy involvement of almost all muscles of the arm. Painful shoulder syndrome (PSS) is considered to be one of the main causes of interference with an effective and correct movement of the underwater stroke, which is a fundamental element of functionality in this discipline. The aim of this study was to evaluate whether PSS affects upper limb function in competitive swimmers. Material and methods. Thirty-two swimmers aged 17–24 years with at least 2nd sport class participated in the study. The swimmers were divided into two groups: group I – the experimental group, with subjects reporting pain in the shoulder area, and group II – the control group (sub-jects without pain in the shoulder area). Isokinetic tests at 60°/s, 180°/s, and 300°/s, hand grip strength tests, and upper limb power measurements on a swim er-gometer were performed. The standard visual analogue pain scale (VAS) was used to assess the severity of pain. Results. There were significant relationships between hand grip and pulling force. Hand grip also strongly correlated with peak torque in all considered limb movements. The other examined parameters did not show statistical significance. Conclusions. Despite the significant results of the study component, there was no significant in-fluence of painful shoulder syndrome on performance levels.
Numerical simulation of intact stability analysis of a catamaran vessel
Authors: Morrison Inegiyemiema  , Emmanuel Simeon  , Samson Nitonye
Published: November 2024

This research work shows the intact stability analysis of a passenger catamaran vessel considering their different load cases: Fully loaded ship to maximum free-board draught; lightship with full tanks; and lightship with no passengers, crew, and empty tanks. The MAXSURF package as the Naval Architecture tool was selected to model the catamaran hull form design using the MAXSURF modeler and the MAXSURF stability was employed to carry out the stability analysis. The stability analysis was conducted using the intact stability criteria of IMO. The stability assessment was performed to verify whether the vessel's stability complies with international standards. A numerical method (Simpson’s rules) was employed in evaluating the area under the GZ curves within the range: 0º - 30º; 0º - 40º; 30º - 40º. The maximum heeling moment was calculated as 954.48 tons-m for load case 1; 755.36 tons-m for load case 2; 671.58 tons-m for load case 3 and the range of stability for all three load cases was justified well. It was concluded that the Catamaran at full load (Load case 1) is more stable with a maximum heeling moment of 954.48 tons-m as compared to Load cases 2 and 3
Fault-tolerant cascaded H-bridge inverter connected to power grid
Authors: Emmanuel DOBSOUMNA  , Philippe DJONDINE  , Golam GUIDKAYA  , Frédéric RONWE DJORWE  , Ali ADAMA HADJA  , Dieudonné ISSA
Published: November 2024

Nowadays, the use of inverters is increasingly required in domestic and industrial installations, electrical energy production plants, and in several other areas for the conversion from the DC form to the AC form of the electrical energy such as aviation, maritime and especially in the field of Parallel Active Filtering where it constitutes the capital element for the injection of harmonic compensating energy into the electrical network. In the interest of ensuring its reliability and especially its availability, it is therefore important to design its fault-tolerant model. In this paper, we propose a new model of cascaded H-bridge inverter which could even in the presence of faults, continue to deliver a voltage of value equal to that in normal operating mode. The results of simulations carried out using the Matlab/Simulink software show good performance of the proposed inverter.
Large scale utility solar installation in the USA: Environmental impact and job creation
Authors: Chijioke Paul Agupugo  , Abidemi Obatoyinbo Ajayi  , Ojonimi Segun Salihu  , Ibrahim Barrie
Published: November 2024

Large-scale utility solar installations in the United States have gained momentum as a key component of the nation's renewable energy transition. This review examines the environmental impact and job creation associated with these projects, focusing on their contribution to decarbonizing the energy sector and stimulating economic growth. Utility-scale solar installations offer significant environmental benefits, particularly in reducing greenhouse gas emissions and displacing fossil fuel-based energy sources. They also contribute to improving air quality and mitigating climate change. However, challenges such as land use, habitat disruption, and water usage in arid regions present potential environmental concerns. To address these, mitigation strategies such as dual-use projects and siting solar farms on degraded lands are becoming more common. In addition to environmental advantages, utility-scale solar installations play a pivotal role in job creation and economic development. These projects generate a wide range of employment opportunities, particularly in construction, operations, and maintenance. The solar energy sector has grown rapidly, creating tens of thousands of jobs across various regions, including economically disadvantaged and rural areas. The economic ripple effect of solar job creation extends to local communities and related industries, further boosting economic activity. Workforce training and development initiatives are crucial for preparing workers to meet the demands of this growing sector, ensuring that job creation benefits are widespread and inclusive. Despite the positive impacts, challenges related to regulatory barriers, grid integration, and financing remain. This review underscores the importance of supportive policy frameworks and continued innovation to overcome these obstacles and maximize the potential of large-scale solar installations. Looking ahead, advancements in technology, energy storage, and grid infrastructure will be essential for sustaining the environmental and economic gains from utility-scale solar energy in the U.S.
To study impact and cause relationship of political economy and its component on national security threat to India
Authors: Vaibhav Prakash  , Saquib Zafar  , Bhupender Pal Singh
Published: November 2024

Political economy study, depict that how political factor affects the economic parameter and how the economy in turns shapes political structure of a country. Macroeconomic variable possess a significant impact on the national security .this article examine the various impact parameter of the political economy on national security and various intricate risk. In todays globalized scenario various macro – economic parameters have become pivotal in shaping national security threat. The study focuses on India perspective and and analyses the impact of the economic determinant on national security .the finding indicates that, global expansion of trades , FDI and FII, Migration and remittances both positively and negatively influences the national security concerns, whereas growth in poverty , foreign aid, loans, social crises heightens the threat. The study further suggest that fostering strong economic condition, strengthening the export and foreign exchange reserve and a potential positive trends can mitigate the likely hood of the national security.
Biofeed through bioconversion process with the engineered methyl-microbium buryatense strain 5GBC1-RO1
Authors: Abdelmoumen Shad Serroune  , Khasani  , James Kakiecwski  , Marshall Brenton  , Abdellatif Serroune  , Deborah Basset  , Hicham Serroune  , Sebastien Gescot
Published: November 2024

This study presents a novel approach to mitigate methane emissions while simultaneously addressing the growing demand for sustainable animal feed through the development of an engineered methanotrophic strain, Methylomicrobium buryatense 5GB1C-RO1. Utilizing advanced genetic engineering techniques, including CRISPR/Cas9 and horizontal gene transfer, we have optimized the ribulose monophosphate (RuMP) cycle and enhanced oxidase activity in this strain. The bioconversion process is facilitated by innovative bioreactor designs, including Two-Phase Partitioning Bioreactors (TPPBs) and Inverse Membrane Bioreactors (IMBRs), which significantly improve methane solubility and mass transfer. Through metabolic flux analysis and computational modeling, we have achieved high biomass yields and efficient methane utilization. The resulting biofeed demonstrates a superior nutritional profile, with optimized macronutrient content and essential components. This integrated approach not only contributes to greenhouse gas mitigation but also offers a promising solution for sustainable animal nutrition. Our findings suggest that the 5GB1C-RO1 strain and associated bioprocesses have the potential to revolutionize both environmental protection and agricultural sustainability.
Comprehensive tuning guide: IBM MDM, PME algorithm, services, and configurations
Authors: Sai Reddy Anugu
Published: November 2024

The research paper provides comprehensive guidance on tuning specifics to maximize the efficiency of IBM MDM, particularly in high-performance environments. It addresses several advanced topics and tuning guidelines, focusing on the architectural framework and the details required for sustained performance. Including the recommendations to Handle Long-Chained Duplicates in Suspect Duplicate Processing (SDP), Minimize Deadlocks During Duplicate Processing, and Advanced Database Configurations for High-Performance WebSphere Application Server (WAS) Java Virtual Machine (JVM) and Cache Optimization, and Thread and session management, upgrading the Java version to hava8, Garbage Collection (GC) and Heap Memory Settings, servlet caching, and reduced application logging, MDM Workbench recommendations, Services tuning, and Batch processor tuning. IBM Messaging Queue’s Max server connections and Queue Connection Factory Settings.
Image compression methods for efficient storage and transmission
Authors: Nuzhat Mobeen  , Channappa A  , Suresh B
Published: November 2024

This paper presents a detailed and comprehensive review of image compression methods, emphasizing their role in optimizing both storage and transmission efficiency across various domains, from everyday use in social media to specialized applications like medical imaging and satellite data processing. We systematically explore both traditional and contemporary image compression techniques, categorizing them into lossless and lossy methods, transform-based approaches, and the latest advancements in machine learning-based compression. Lossless compression techniques, including Run-Length Encoding (RLE), Huffman Coding, Lempel-Ziv-Welch (LZW), and the Portable Network Graphics (PNG) format, are discussed for their ability to preserve image quality perfectly, albeit at the cost of relatively lower compression ratios. Conversely, lossy compression methods, such as JPEG and fractal compression, offer significant file size reduction by discarding non-essential data, while still maintaining acceptable visual quality for many practical applications. We further delve into transform-based approaches like Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT), which form the backbone of popular standards such as JPEG and JPEG 2000, enabling more efficient data representation in the frequency domain. Additionally, the study highlights emerging machine learning and deep learning techniques, such as autoencoders and Generative Adversarial Networks (GANs), that are pushing the boundaries of image compression by achieving unprecedented compression ratios while minimizing perceptual loss in image quality. Through a comparative analysis, we evaluate these methods based on multiple performance metrics, including compression ratio, computational complexity, image fidelity (measured via Peak Signal-to-Noise Ratio, PSNR, and Structural Similarity Index, SSIM), and their practical applications across different industries. Our findings suggest that while traditional methods such as JPEG, PNG, and JPEG 2000 remain widely adopted due to their simplicity and efficiency, emerging techniques driven by deep learning show great potential in adapting to specific image characteristics, achieving higher compression ratios, and better preserving image quality under extreme compression. Finally, this paper identifies key challenges and trends in the field, such as the increasing computational demands of advanced techniques, the need for adaptive compression strategies, and the importance of standardization for broad industry adoption. We conclude that while traditional methods will continue to play a significant role, the future of image compression lies in the integration of machine learning and content-aware technologies that dynamically optimize compression performance across diverse image types and application contexts.
Retention strategy device for recovering lost customers of united bank of Africa in Ado-Ekiti
Authors: Olubunmi Christianah FALEYE  , Helen Opeyemi AGBETUYI  , Foluke Helen ADEYEMO
Published: November 2024

The study examined retention strategy: a tool of recovering lost customers of UBA in Ado Ekiti. The specific objectives are to: determine the effect of birthday message on recovering lost customers; examine the effect of interest rate on recovering lost customers; determine the effect of innovative product on recovering lost customers. A descriptive survey research design was adopted for the study. The population of the study comprised UBA customers in Ado Ekiti. The sample size was 399 which were selected through Yamane sampling Model. Primary data used for the study were gathered through structured questionnaire. Questionnaire was used to elicit information from the target respondents. Data gathered were analyzed using regression model. The result showed that product birthday message positively affect recovering lost customers as it was significant on recovering lost customers (t=7.685, t=1.103, p<0.05); it further showed that interest rate affects recovering lost customers as it was significant on recovering lost customers (t= 5.871, t= 1.769,p<0.05); furthermore, it showed that innovative product affect recovering lost customers positively as it was significant on recovering lost customers (t=2.659,t= 6.804, p<0.05). Thus, it concluded that retention strategy positively affects recovering lost customers.
Comparative analysis of treatment protocols and clinical outcomes in the management of acute urticaria and angioedema in the emergency department
Authors: Huzaifa Kamran Khan  , Nida Ayub  , Muhammad Youas  , Rehmat Ullah  , Asrar Ur Rahman  , Muhammad Shamoon Khan  , Aibad Ahmed Afridi  , Maaz Ali  , Fatima Tu Zuhra  , Salman Hayat  , Sundas Safdar  , Saadia Jabeen
Published: November 2024

Objective: The purpose of the study was to identify clinical differences in patients with acute urticaria and/or angioedema receiving various treatment regimes in the emergency department of Lady Reading Hospital, Peshawar. Particularly, it compared modern antihistamine therapy with corticosteroids as an analogue to routine antihistamines with regard to the rate of symptom improvement, relapse, and hospitalisation. Methods: This was a cross-sectional descriptive study involving 542 patients with acute urticaria and/or angioedema. Patients were categorised into two groups: Group A, receiving a combination of antihistamines and corticosteroids (280); and Group B, receiving only antihistamines (262). Thus, the primary end points considered include time to resolution of symptoms, recurrence within 48 hours, and hospitalisation need. Data was analysed using the statistical package of social sciences (SPSS), while a p-value of < 0.05 formed the basis of significance. Results: The overall improvement time for symptoms was 3.6 hours in Group A and 5.1 hours in Group B (p < 0.001). The rates of recurrence were also lower in Group A (15%) than in Group B (29.8%, p < 0.01). Meanwhile, patients who were in Group A had 10% that needed inpatient admission as an intervention compared to 19.1% in Group B; p < 0.05. Side effects were few and were comparable between the two groups; therefore, patients in both groups had reactions such as drowsiness and gastrointestinal disturbances. Conclusion: Together, antihistamines plus corticosteroids were superior to antihistamines only in the treatment of acute urticarial and angioedema in patients in the emergency department. Patients reported symptoms resolved sooner, the rate of relapse was shorter, and hospitalisation was reduced. Based on this observation, corticosteroids should be considered as part of the usual care of patients presenting with moderate to severe symptoms in the emergency department. Future research should aim at sorting out various recommendations of treatment value for the purpose of achieving even better results of the therapy.
Parental influence on career choice in Jos North Islamic Secondary Schools, Nigeria
Authors: Shafa’tu Adam Nabage  , Mufutau Oyedapo Raufu  , Mufutau Oyedapo Raufu
Published: November 2024

This study sought to analyzed parental influences on career choice in Jos North Islamic secondary schools. A sample of ten schools was selected using simple random sampling technique and total of 323 student participated in the research. The data obtained was analyzed using descriptive and inferential statistics. The result shows that there is positive but non-significant relationship between parental religiosity and career choice of their children. The result also reveals that there is positive and significant relationship between parental socio-cultural and economic influences and their children career choices at 5% and 10% significant level respectively. The study recommends the need to uplift career counseling unit in Islamic secondary schools. It also recommends the development of good relationship between parent and school counsellors towards guiding the students to Islamic career choice preference.
Advancing Cybersecurity Governance: Adaptive Resilience and Strategic Third-Party Risk Management in Financial Services
Authors: Oluwatoyin Funmilayo Ayodele  , Adesola Oluwatosin Adelaja
Published: November 2024

As cyberattacks increase, banks and financial firms face new challenges. This research aims to improve cybersecurity by integrating adaptive resilience and strategic third-party risk management into current systems. This study uses thorough qualitative research methods to assess existing frameworks, identifying shortcomings that put companies at more risk. Findings reveal that firms using adaptive resilience - where governance policies adjust with real-time threat information and post-incident evaluation after incidents are much better at preventing and addressing cyber attacks. This paper stresses the importance of including third-party risk management in a comprehensive governance framework, as weaknesses in these relationships often lead to breaches. This study contributes critical insights and a strategic framework for financial institutions to bolster their defenses against sophisticated cyber threats, ensuring sustained resilience and security.
Prevalence of caries disease in patients with Rheumatoid arthritis: Results of a comparative study
Authors: Sara Farih  , Hanan Rkain  , Linah Zaki  , Imane Bensaghir  , Latifa Tahiri  , Rida Sana  , Sakout Majid  , Ennibi Oum Keltoum  , Najia Hajjaj-Hassouni  , Fadoua Allali
Published: November 2024

Objectives: This study aims to determine the prevalence of dental caries in rheumatoid arthritis (RA) patients and compare it with controls. Materials and Methods: We conducted a cross-sectional study between two departments of the Ibn Sina University Hospital in Rabat: the Conservative Dentistry Department at the Center for Consultation and Dental Treatment and the Rheumatology B Department at El Ayachi Hospital in Salé.We collected socio-demographic, disease, and oral health data for each patient, assessing caries prevalence using the DMFT index (Decayed, Missing, and Filled teeth ) along with gingival and plaque indices (Löe and Silness) Results: We recruited 61 patients, including 31 patients with rheumatoid arthritis (RA) and 30 control patients. The average age was 47.6 ± 13.1 years, mostly female, with 59.3% postmenopausal. RA patients had a higher number of missing teeth (8.3±7 [0; 19]), moderate to severe gingival inflammation in 64.6% of patients, and significant plaque buildup in 67.7% of cases. Only 38.7% of patients used proper brushing techniques, and 45.2% viewed their condition as a barrier to oral hygiene.The DMFT index in the RA group was 15.5, with an average of 2 [0; 4] filled teeth, compared to 0 [0; 2] in the control group (p=0.05). 67.7% of RA patients had visible plaque deposits, and 64.6% showed moderate to severe gingival inflammation Conclusion: Patients with rheumatoid arthritis exhibited poorer oral health compared to the control group, highlighting the importance of multidisciplinary care, including regular dental consultations and treatment
Peer-to-peer energy trading: Innovations, regulatory challenges, and the future of decentralized energy systems
Authors: Kelvin Edem Bassey  , Shahab Anas Rajput  , Kabir Oyewale
Published: November 2024

Peer-to-peer (P2P) energy trading represents a transformative approach to energy distribution, where consumers, referred to as prosumers, generate and exchange electricity directly with one another. This decentralized model promotes local generation and consumption balancing, reducing reliance on centralized grids and encouraging the use of renewable energy. The development of platforms and technologies, such as blockchain, smart contracts, and Internet of Things (IoT)-)-enabled devices, has enabled secure, transparent, and automated transactions. These innovations facilitate real-time monitoring and energy matching, while artificial intelligence (AI) optimizes pricing and supply-demand dynamics. Microgrids and energy storage solutions further enhance the efficiency and reliability of local energy balancing in P2P systems. However, the widespread adoption of P2P energy trading faces significant regulatory and market challenges. Current regulatory frameworks, designed for traditional, centralized energy markets, often lack provisions for decentralized trading models. Key issues include grid access, tariffs, consumer protection, and data privacy. Furthermore, regulatory barriers differ widely by region, affecting the pace of P2P adoption. Market mechanisms that support P2P energy trading, such as dynamic pricing, demand-response programs, and real-time settlement systems, are also critical for its success. The role of aggregators and intermediaries in facilitating transactions is evolving, as regulatory bodies explore sandbox environments to test these innovative models. This review explores the technological advancements and regulatory landscape shaping P2P energy trading, highlighting successful case studies and identifying future trends. It underscores the need for adaptable policies and robust platforms to unlock the potential of P2P energy trading in building resilient, sustainable, and decentralized energy systems.
Contribution of Induced Polarization to the Identification of Mineralization in the Agnibilékrou Department (Eastern Côte d’Ivoire)
Authors: Kouadio Florentin TANI  , Abe Parfait SOMBO  , Koffi Alexis NDRI  , Konan Roger ASSIE
Published: November 2024

The chargeability maps of the Siakakro, N’Guessankro, and Mossikro sites (Agnibilékrou Department, in the east of Côte d’Ivoire) are established from induced polarization (IP) measurements. These maps reveal both polarizable and weakly polarizable structures, with anomalies primarily oriented NE-SW. These orientations, influenced by geological faults, facilitate the migration of hydrothermal fluids and the potential formation of mineral deposits. The zones with high chargeability are mainly located in the center and east of the sites, suggesting the presence of sulfides and representing promising targets for mining exploration. The weakly polarizable areas are associated with sandy-clay formations and non-conductive materials, limiting their mining potential. However, their proximity to faults, especially at N’Guessankro, justifies further investigations to identify potential hidden mineralization. In summary, the zones with high chargeability, particularly at Siakakro, should be prioritized for exploratory drilling. Further exploration, particularly around geological contact zones, is necessary to assess the economic potential of these anomalies.
Depigmentation procedure by scrapping technique for management of gingival hyperpigmentation: Case report
Authors: Restia Akwila  , Chiquita Prahasanti
Published: November 2024

Background: Currently, periodontal treatments for esthetic purposes are increasing. This treatment could be done by periodontal plastic surgery. One of the procedures of periodontal plastic surgery is gingival depigmentation. Gingival depigmentation is the treatment for gingival discoloration. Gingival discoloration occurs due to the hyper-deposition of melanin by melanocytes on the basal gingival epithelium. This condition causes a dark color of the gingiva. The purpose of this case report is to explain the management of gingival discoloration. Cases: A 22-year-old male patient with chief complaints of darkish gingival color and less confidence in smiling. The patient is not a smoker. Case management: Anterior maxilla gingival depigmentation was performed using scalpel #15. An Orban knife was used to shape the interdental area, followed by saline irrigation. A periodontal pack is placed on the surgical area. Two weeks of evaluation found that wound healing is fine, as painless and no infection occurred. Conclusion: Management of gingival discoloration by melanin with gingival depigmentation technique provides effective results.
The effect of smoking on amylase enzyme activity in saliva
Authors: Friska Miani Silitonga  , Annisa Sherina Winarya
Published: November 2024

Smoking has become a common habit in Indonesia. If done regularly, smoking is known to cause problems in the oral cavity. When smoking, cigarette smoke will enter the oral cavity and affect the activity of the salivary amylase enzyme. The journal search used in this review was conducted on several databases, such as PubMed, ScienceDirect, and Google with a range of years between 2013 and 2023. A total of 14 studies from various global populations were included in this review. Thirteen studies showed an association between smoking and alpha-amylase enzyme activity, while one study did not show an association between smoking and amylase enzyme. Of the 13 studies that showed an association, ten studies showed a negative association, while the remaining three studies showed a positive association. The effect of cigarettes on amylase activity in saliva may arise due to several factors, including the toxic effects of cigarettes on the salivary glands, mechanical and chemical stimulation of cigarettes on the mucosa, smoking period, oxidative stress index, and salivary pH.
Effectiveness of integrated program on clinical care pathway for patients with heart failure upon competency of nurses
Authors: Kanchana. G  , Vijayalakshmi. K  , Merlin. A
Published: November 2024

Cardiovascular disease is still the most common cause of death and disability in industrialized nations, and its prevalence is rising rapidly. Heart failure (HF) is increasingly common and incurs a substantial cost, both in terms of quality and length of life. Clinical pathways provide a means of implementing the most up-to-date guidance into clinical settings to improve the value and efficiency of the care provided. Methods: This study was conducted using the A Quasi-Experimental Time series Research design to assess the level of competency and to determine the effectiveness of clinical care pathway on management of patients with heart failure among 60 nurses (30 in Control and 30 in Intervention Group) from selected hospitals who were selected by consecutive sampling technique. The data was collected using pretested and validated tools such as background variables proforma of nurses, structured knowledge questionnaire and Observation Checklist on Practice of Integrated Program on Clinical Care Pathway for Heart Failure through self-administration method. Results: The study findings revealed that the mean knowledge score for heart failure management was significantly higher in the intervention group (25.50 ± 1.61) compared to the control group (17.87 ± 1.83). Additionally, their practice scores also were significantly higher across all components, days, and global scores in the intervention group (127.97 ± 3.43) than the control group (76.90 ± 7.60) with a p < 0.001. Conclusion: An empowerment of nurses focusing on clinical pathway could improve knowledge on heart failure, which could lead to better patient care including patient education and could reduce patient readmission for heart failure.
Käyttäjäkeskeisyys osallisuuden mahdollistajana Valvotun tapaamisen säännöt -sarjakuva-asiakirjassa
Authors: Kainulainen Mira
Published: November 2024

In this study, I conducted a functional text analysis on the Valvotun tapaamisen säännöt comic document which presents the rules of supervised visitation. After exploring theory of comic documents, user-centred communication and social inclusion, I analyse the user’s role extratextually and as a character in the text. I examine the user-centredness of the document and how it can enable social inclusion. The results indicate that both the comic document and its communicative context are in many ways user-centred. User-centredness is constructed through multimodal, cognitively accessible communication and intratextual representation of the user as an active participant in the visitation process. The comic format supports social inclusion through cognitive accessibility and by making the user an active participant in the communicative situation. The visual language of comics can motivate closer reading of the document, enabling the user to better understand the rules and follow them, if they so choose.
Vastasaapuneiden oppilaiden tiedonalakohtaisten lukutaitojen arviointi: Kielididaktinen näkökulma oppimisen tukeen
Authors: Väätäinen Ella , Marjokorpi Jenni
Published: November 2024

The purpose of preparatory education is to familiarise newly arrived pupils with the language of instruction and the school system so that they achieve the skills needed in attending basic education. In this paper, we introduce and examine an assessment tool, “Valu”, designed to assess newly arrived pupils’ disciplinary literacy skills in Finnish in this critical phase. We analyse assessment data and our observations from the first piloting round of the tool, to gain understanding about how primary school pupils’ literacy can be assessed in Finnish language and literature, and mathematics, and about the support the pupils need in completing the tasks. Our findings highlight the importance of teachers’ interactionist support, even though the pupils show signs of learning how to utilise the interventionist support within the Valu tool. Newly arrived pupils studying Finnish language and literature, and mathematics can be supported by recognising what kind of support they need and where.
“I could learn more words”: Involving stakeholders in defining L2 English reading constructs in diagnostic and dynamic assessment
Authors: Leontjev Dmitri , Huhta Ari , Koskela Kristina
Published: November 2024

There has been a growing effort to combine two L2 (second/foreign language) assessment frameworks that aim to promote student learning but have different theoretical roots – diagnostic and dynamic assessment. This paper focuses on identifying and operationalising L2 English reading constructs in such a novel assessment framework. We will argue that constructs in this assessment framework should include a view of how they develop and, ultimately, actions that should be taken to guide this development. Focusing on the data from teachers (n=43) and learners (n=725) but also Matriculation Examination item writers and raters (censors; n=22), we propose a procedure for defining and operationalising assessed constructs that combines their theoretical understanding and conceptions, understandings, and actions by these stakeholders. We discuss these data with reference to how constructs and their development are understood in the two assessment frameworks.
Analysis of the Success Factors of Living Lab in a Smart City with a Focus on Social Capital
Authors:   Korean Institute of Smart Media, Seong Jeong Hwan , Hong Ah Reum
Published: November 2024

In the era of the Fourth Industrial Revolution, modern society is evolving beyond an information society into a hyperconnected society, with the advancement of technology leading to the development of smart cities. According to Cohen (2015), the direction of smart city evolution is shifting from a technology-driven approach to a citizen co-creation model, and living labs play a crucial role in this transition. The objective of this study is to empirically analyze the success factors of living labs in smart cities using the citizen co-creation approach, focusing on social capital. Social capital is measured by variables such as interest, networks, trust, and norms, while the success factors of living labs are analyzed through variables like communication, democracy (conflict acceptance), and open innovation. The analysis results showed that, among the success factors of living labs, communication was positively influenced by trust, norms, and networks, with trust having the greatest impact. Democracy (conflict acceptance) was positively influenced by norms and interest, while open innovation was positively influenced by norms and interest as well. This study concludes that the formation of social capital is crucial for the success of living labs in smart cities following the citizen co-creation model. In particular, the formation of trust among neighbors, colleagues, national and local governments is vital. Additionally, adherence to laws, regulations, and community agreements, as well as interest in various local events and policies, are essential. Based on these findings, this study suggests that while smart cities may have originated from technology, they must ultimately be pursued based on people-centered participation, interest, and trust for sustainable development.
Syariah Sebagai Hasil Pemikiran: Produk Ijtihad Konvensional dan Ijtihad Kontemporer
Authors: Albia Rahma
Published: November 2024

It cannot be denied that the contribution of Islam (Syariah) and Muslim thought is very large to the continuity and development of legal thought. The purpose of this paper is to find out how the origin of sharia exists, then what are the results of conventional ijtihad products and contemporary ijtihad and which reasons are more obligatory to obey between Fikih and Codification. The research uses a qualitative method. While the approach used in this research is a normative-historical approach. The findings produced in this study are that in Indonesia, one of the legal systems in force is Islamic law. In the Islamic legal system, there are types of Islamic legal thought products in Indonesia, which include: fiqh thought products, fatwas, tafsir, court decisions (Jurisprudence), and legal thought products (codification) and the results of the Supreme Court plenary meeting, should be enforced and enforced honestly and fairly. Then the products of Islamic legal thought that have been institutionalized and obeyed by the Indonesian people are Fiqh, Tafsir, Fatwa, Jurisprudence and Legislation. The process of the birth of these four things cannot be separated from the development of the dynamics of community life from time to time in collaboration with Indonesian conditions.
Strategi Kreatif Humas dalam Menggugah Semangat Komunitas Mengembangkan Kampus Islam
Authors: Zainal Abidin
Published: November 2024

The aim of this research is to analyze the role of public relations management in increasing community participation in developing STIT Jembrana, Bali. This research uses a qualitative case study type approach. The data collection uses interviews, observation and documentation. Research data sources consist of primary and secondary sources. Primary sources were obtained from interviews with supporting informants as well as observations in the form of direct observations to strengthen the data found from the interviews. Meanwhile, secondary data sources were obtained from documentation in the form of activity reports, pictures and photos related to public relations activities. This research also checked the validity of the data by triagulating sources, methods and theories. The data analysis technique uses data reduction, data presentation and drawing conclusions. The research results obtained are that public relations management at STIT Jembrana, Bali uses Terry's theory with POAC components, namely: Planning, carried out by analyzing the needs and desires of the community both internally and externally, Organizing (organizing) carried out by selecting and assigning the right resources in its field, Actuating (implementation) implements public relations through activities carried out according to the schedule in the academic calendar, and Controling (control/evaluation) is carried out by monitoring and evaluating the implementation of activity programs with predetermined initial planning. The form of community participation consists of labor/physical participation, thinking and financial participation.
MONETARY, FISCAL AND GREEN TRADE INDICATORS IN INDONESIA
Authors: Dewi Mahrani Rangkuty  , Rusiadi  , Lia Nazliana Nasution  , Wahyu Indah Sari  , Rapita Damanik
Published: November 2024

Monetary policy, fiscal policy, and green trade are distinct yet interconnected elements that influence the economy. In this research, research is conducted by utilising studies which are similar or related. After collecting various literature related to the study under study, the researcher makes observations then the object of research is explored through various library information both from books, natural journals, digital data, documents and so on in order to analyse monetary, fiscal and green trade indicators in Indonesia. Governments might use fiscal measures, such as tax incentives for green technologies, to promote environmentally friendly trade practices. Central banks can support green trade by considering environmental risks in their financial stability assessments and potentially incorporating sustainability criteria into their monetary policy frameworks.
Strategi Komunikasi Promosi Untuk Optimalisasi Zakat di Gampong Lingkungan Universitas Malikussaleh Bersama Baitul Mal Kota Lhokseumawe
Authors: Hasan Kamaruddin , Muchlis Muchlis , Husna Asmaul , Masriadi Masriadi , Zahari Zahari , Safwan Safwan , Muktaruddin Muktaruddin
Published: November 2024

Pengabdian ini bertujuan untuk menjalankan penguatan strategi komunikasi promosi, sosialisasi dan penyuluhan dalam meningkatkan pengumpulan zakat dengan menganalisa berbagai faktor yang mempengaruhi minat warga Desa di Kota Lhokseumawe dalam berzakat, infaq dan sedekah. Pengabdian ini melibatkan seluruh Unit Pengumpul Zakat (UPZ) di Gampong/Desa lingkungan Universitas Malikussaleh Khususnya Kota Lhokseumawe (Lancang Garam, Uteun Kot, Blang Pulo, dan Padang Sakti), bekerjasama atau bermitra dengan Baitul Mal Kota Lhokseumawe. Metode pengabdian dengan proses observasi berperan serta, need assesment, wawancara, focus group discustion (FGD), sosialisasi, pelatihan, monitoring evaluasi dan pendampingan. Hasil pengabdian ini diharapkan dapat meningkatkan pemahaman, motivasi, mempengaruhi minat dan partisipatif masyarakat Kota Lhokseumawe dalam pengumpulan zakat, infaq dan sedekah serta menjadi motivasi ibadah, etos kerja dan peran pengumpul zakat di seluruh Desa Kota Lhokseumawe.
Building a business process model using temporal knowledge when implementing process management
Authors: Chala O.V. , Bogatov E.O.
Published: November 2024

The article’s subject matter are business processes, which are a sequence of work, which are provided with resources and create products and services that are valuable for the customers of such processes. The aim is to develop an approach to solving the problems of implementing process management based on the automated detection of temporal knowledge, which makes it possible to establish conditions and restrictions on the execution of process actions, considering their actual temporal order, and thus makes it possible to consider the personal knowledge of process performers both in building and refining their model. Objectives: To structure the process management tasks, considering the interaction between the subtasks of process management implementation and business process management tasks; to develop a method for building a business process prototype using temporal knowledge. The approaches used are process management methods, process mining methods, temporal knowledge methods. The scientific novelty of the obtained results is as follows. The article develops a method for building a model of the business process "as it is", performed in an enterprise, using temporal knowledge. The method includes stages of forming temporal knowledge in the form of rules that determine the sequence of process actions in time, selection of subsets of rules that specify sequential and parallel or alternative execution of process actions, and stages of building the business process model in the form of a workflow graph that considers the identified temporal rules. In practice, the method creates conditions for the implementation of continuous improvement of the business process based on the iterative identification and further use of the tacit knowledge of the performers, which is reflected in the temporal rules.
A Passive Approach to Mine Detection and Classification Utilizing Magnetic Fields and Convolutional Neural Networks
Authors: Lytvyn V.V. , Peleshchak I.R. , Vysotska V.A. , Motyka V.M. , Peleshchak R.M.
Published: November 2024

Active detectors are widely used today for mine detection, providing high accuracy. However, their operating principle can pose a danger, as it has the potential to trigger the detonation of hidden mines. This study introduces an innovative method for detecting and classifying mines composed of different materials (metallic, semi-metallic, plastic) through the use of a convolutional neural network. The network analyzes anomalies derived from a uniquely designed feature matrix, achieving notable accuracy in classification. The classification process is based on a feature input vector that includes: voltage readings from the FLC-100 magnetic field sensor, which detects magnetic field anomalies near mines with sensitivities ranging from 10⁻¹⁰ to 10⁻⁴ Tesla; data from six soil types, considering their moisture content; and the sensor's height above the mine. Since mines made from different materials exhibit distinct magnetic properties, utilizing magnetic field anomaly data allows for effective material-based mine classification. The classification accuracy was evaluated using various metrics, such as F1, Precision, Accuracy, FPR, FNR, Recall, and TNR.
Improving energy consumption with ADAS in autonomous driving communication system
Authors: Karpishen B. S.
Published: November 2024

The article analyses the trends in the development of energy saving and recovery technologies in electric motor vehicles. Promising directions for the development of energy saving technologies, in particular with the use of driver assistance systems, are considered and identified. Increasing the occupancy of cars with electronic driver assistance systems increases the overall energy consumption. Recommendations for choosing the optimal technologies and methods of energy saving for motor vehicles are given. For some methods, saving energy is a complement to the main area of work. The combination of intelligent vehicles and appropriate traffic management tools can help to further realise the transport benefits of intelligent vehicles.