bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Priorities of Older Adults in Managing Urinary Incontinence: a Patient-Oriented Research Approach
Authors: Kirillovich Marina , Rajabali Saima , Wagg Adrian
Published: December 2024

Introduction
Urinary incontinence (UI), the complaint of involuntary leakage of urine, has a substantial impact on the quality of life of older adults. Most UI research is driven by researchers and lacks the patient perspective. The goal of this qualitative study was to gain the perspective of older adults in formulating a research agenda tailored to address their questions and improve their experience with managing UI.
Methods
Implementing a community-based participatory research framework, an advisory group of eight older adults with UI were recruited to be on the research team. An initial focus group was conducted to learn about their research needs. Nominal Group Technique was used to reach saturation of themes and data was analyzed thematically. Employing a Delphi consensus method, a national online questionnaire containing 20 priorities for future UI research and education was developed in collaboration with the advisory group.
Results
59 older adults with UI rated each priority on a Likert scale. Priorities which advanced to the second round were re-rated, with an 85% response rate. 11 priorities of ≥80% agreement were retained. The highest rated priorities included relationship between physical activity and UI; support for those with UI; causes of UI and its management; sleep and UI; and public restroom accessibility.
Conclusions
Findings from this study will help researchers and health-care professionals understand and address the needs of older adults with UI. Efforts should be made to translate research findings in this area and disseminate them in a medium accessible to older adults.
Vorübergehende Aufwertung oder nachhaltige Neuausrichtung? Europäische Sozialpolitik unter der ersten Von-der-Leyen-Kommission
Authors: Fischer Torben , Windwehr Jana
Published: December 2024

In this article, we provide a systematic overview of developments in European social policy under the first von der Leyen Commission (vdL Commission). We analyse the developments in the areas of regulatory, distributive and coordinative social policy of the European Union (EU). Building on this, we examine the role of the vdL Commission as a social policy actor by analysing its ability to formulate and implement innovative policies. The analysis shows that the vdL Commission was able to set accents in all areas that have further strengthened the revitalisation of Social Europe begun under the Juncker Commission, with the result of reducing, but not eliminating, the institutional asymmetry between economic and social integration. The vdL Commission proved to be a central actor, albeit supported by a specific political constellation in the COVID-19 pandemic, socially committed Council presidencies and close coordination with European trade union actors.
Localized Prostate Cancer: A Clinically Significant Disease and Emerging Imaging Modalities
Authors: Contreras Sergio
Published: December 2024

A trend has emerged toward the timely diagnosis of prostate cancer. Worldwide, early stages represent more than two-thirds of all prostate cancers. Novel software, highly sensitive images, or techniques available for its detection could lead to overdiagnosis of clinically irrelevant diseases. Conversely, inadequate staging could miss advanced diseases. Selecting a treatment for prostate cancer can be a difficult task, some prostate cancer may not require treatment, especially considering that treating early stages may not impact the patient’s longevity. A multidisciplinary approach, supported by sophisticated imaging and diagnostic techniques and their correlation with biochemical, pathological, and clinical parameters, helps to define the risk. These risk groups are essential when selecting a definitive or radical treatment. These treatment modalities may include a combination of radiotherapy, hormonal therapies, surgery, or simply observation. For each of these options, the toxicity profile, side effects, quality of life, and survival must be considered. All these variables must be taken into account when defining treatment. Additionally, the intensification of treatment is a recent addition to the standard treatment of high-risk prostate cancer. Therefore, appropriate risk characterization is essential.
Artificial Intelligence (AI) and Insecticides in Pest Control
Authors: Reza Mousavi Seyed , Hakemi Arman
Published: December 2024

The growth in global food demand has prompted the development of pest control strategies, with pesticides being widely employed as a means of controlling pests. However, the excessive use of pesticides has resulted in environmental contamination, the development of pesticide resistance, and adverse effects on human health. Integrated Pest Management (IPM) represents a more sustainable approach, but its implementation is frequently impeded by a dearth of trained personnel and the high costs associated with it. The application of artificial intelligence (AI) has the potential to transform IPM practices, enhancing pest management and reducing reliance on pesticides. This study investigates the potential of AI in IPM, specifically its use in analyzing data from a range of sources, including imaging, acoustic sensors, and weather data. AI systems have the capacity to identify pests, predict diseases, and suggest management strategies, thereby reducing the reliance on pesticides. The integration of AI into IPM can address the shortage of professional personnel and the high cost of traditional IPM methods. This novel approach has the potential to transform the pesticide industry and make food production more sustainable and environmentally friendly.
Interdisciplinary Emergencies in the Delivery Room
Authors: Kutun Kim K. , Gerbershagen Mark U.
Published: December 2024

Obstetric risks and difficulties are part of an anaesthetist’s everyday life and require close interdisciplinary collaboration with obstetricians. To manage these situations, routine and regular training is essential, as is knowledge of common algorithms. There is no time to lose when mother and baby are at risk and immediate action is necessary. In order to reduce obstetric injuries, every anaesthesiologist working in obstetric care should deal with the most common emergencies and have a good overview of concepts for these scenarios. Knowledge of absolute emergencies with high mortality such as postpartum haemorrhage, through to less drastic complications such as hypertensive diseases of pregnancy, is necessary to increase patient safety. An overview of the main interdisciplinary emergencies in the delivery room is provided in this chapter.
Synthesis, Characterization, and Pathogenic Activities of Bisphenol-C Derivatives
Authors: H. Parsania Parsotam , P. Patel Jignesh , P. Adroja Pooja
Published: December 2024

We have focused on syntheses of several 1,1\'-bis(4-hydroxyphenyl)cyclohexane(Bisphenol-C) derivatives, their characterization, and pathogenic activities. The structures are supported by FTIR, 1H NMR, 13C NMR, and MS techniques. The crystal structure is determined by XRD. 1,1’-Bis(3-methyl-4-hydroxyphenyl)cyclohexane crystallizes into a mono-clinic crystal lattice having unit cell dimensions: a = 15.023(2) Å, b = 9.924(2) Å, and c = 11.620(2)Å, 1, 1’-bis(3-methyl-4-benzoyloxyphenyl)cyclohexane crystallizes into a tetragonal crystal lattice with unit cell dimensions: a = b = 13.3792(9)Å, and c = 30.732(4)Å, and 1,1’-bis(3-methyl-4(2-nitrobenzoyloxy)phenyl)cyclohexane crystallizes into a triclinic crystal lattice of unit cell dimensions: a = 9.981(2) Å, b = 12.253(3) Å, and c = 12.943(3) Å. The nature and position of substituents in bisphenol-C derivatives affected DSC melting transitions (57–257°C) and heat of fusion of 15–78 kJmol−1. The thermogravimetric study under an inert atmosphere revealed different thermal stability (215–375°C) and degradation patterns. All the compounds followed either fractional or integral order degradation kinetics due to structural dissimilarity. Bisphenol-C derivatives (MeBC, BrBC, and ClBC) show mild-to-moderate antibacterial and antifungal activities against selected microorganisms and standard drugs, while ester derivatives (BCE-1 to BCE-28) and ether-ester derivatives (BCEE-1 to BCEE-30 and EE-1 to EE-12) possess moderate to comparable antibacterial and antifungal activities. The structure and nature of the substituent in the aromatic ring affected antibacterial and antifungal activities.
Microbiological indoor air quality and associated factors in private clinics of Harar Town, Eastern Ethiopia
Authors: Temesgen Liku Muche , Alamirew Tamagnu Sintie , Endalew Salie Mulat , Melake Bealemlay Abebe , Regassa Wegene Deriba , Tolera Sina Temesgen , Mehari Molla Getie
Published: December 2024

Background: Indoor air pollution, including airborne microorganisms, can cause allergies, respiratory diseases, and immune-toxic diseases. Sneezing generates millions of airborne microbial infections, and ventilation sources alter microbial communities. Few studies exist in developing countries, including Ethiopia, and Harar Town. The aim is to assess microbial indoor air quality and associated factors among private clinics, Harar town, Eastern Ethiopia. Methodology: A cross-sectional study was conducted on 260 private clinic rooms in Harar town, using a systematic random sampling method and passive air sampling. Data was collected using the settle plate method and an observation checklist. Bivariate and multivariate analysis was performed using binary logistic regression, with a P-value of <0.05 considered statistically significant. Result: The minimum and maximum bacterial loads were 3933 CFU/m3 and 92 CFU/m3 respectively. Based on the pollution degree of the European Commission, the Mean bacterial load (904 CFU/m3) was at higher bacterial load. The highest, lowest, and mean fungal loads were 1967 CFU/m3, 9 CFU/m3 and 401 CFU/m3 respectively. Temperature of <25 °C (AOR = 1.58, p = 0.04, and 95% CI = 1.05, 1.91), >28 °C (AOR = 1.23, P = 0.03, and 95% CI = 1.51, 2.02) were significantly associated with bacterial indoor air quality. Relative humidity of treatment rooms (AOR = 1.87, p = 0.02, and 95% CI = 1.21, 3.09) had an association with bacterial loads. The clinic treatment rooms with a recorded temperature <25 °C (AOR = 6.32, p = 0.01, and 95% CI = 6.10, 8.25) had associated with fungal loads. But the rooms having a temperature of >28 °C (AOR = 0.41, p = 0.04, and 95% CI = 0.31, 0.78) were 59% less likely to comply with the fungal standards compared to rooms having a temperature of 25–28 °C. The clinic rooms with a relative humidity of <30% (AOR = 7.75, p = 0.02, 95% CI = 7.21, 8.39) were 7.75 times more likely to comply with those with a relative humidity of > 60% in the treatment rooms. Conclusion: Private clinics in Harar had a moderate fungal load and a higher indoor air bacterial concentration when compared to different indoor air standards. Temperature, humidity, inadequate ventilation and the presence of unsanitary attached toilets are some variables associated with microbial loads.
Security Mechanism in MAMATA Healthcare System Using Rule based Algorithm for Maternal Hospitals and Pathology Laboratories
Authors: Dhage Pradeepkumar C , Thakker Rajesh A. , Warhade Krishna K.
Published: December 2024

Recently, innovation in the digital health industry has grown steadily, trending with medical cyber-physical systems’ (MCPS) integrated solutions, regulations, real-time analytics, and software frameworks. Amid these advancements, the paramount concern is the security of medical information, particularly in maternity hospitals where data breaches must be rigorously avoided. While some researchers have explored security methods, they have encountered limitations and identified existing risks. In this research article, the authors propose a novel security mechanism/method called MAMATA Agent/BOT (i.e. Medical-data-Access-for-Maternal-Treat-ment-in-rural-Area) to discover and mitigate trending vulnerabilities, drawing reference from the OWASP (Open Web Application Security Project) Top 10 Report 2017/2020. The author’s approach leverages a rule-based algorithm, enhancing the robustness of the security mechanism. This MCPS system and security mechanism are implemented within PHP and Laravel environments, and comparative analysis is carried out against a few existing security methods commonly employed in general healthcare (like SOA/SOD Framework, Andrew Austin test, Marcelo test, etc..). Results demonstrate a quantified improvement, e.g., 60-70% improvement in detectable vulnerabilities compared to prior approaches. Additionally, the authors extend their previous research by depicting different turns of events and applying a more stable, secured structure tailored to medical applications. Quantitative data presented with comparative analysis in tabular format validates the effectiveness of the proposed methods by detecting and, or fixing 7 to 9 major vulnerabilities (out of the top 10) identified by security assessment tools like ‘Burp Suite Proxy’ and ‘Nikto’.
A Bibliometric Review of Journal of Internet Services and Information Security: An Analysis of Research Published between 2019 and 2024
Authors: Poornimadarshini S. , Sindhu S. , Veerappan Saravanakumar , Arvinth N.
Published: December 2024

The Journal of Internet Services and Information Security (JISIS) established its standing as a leading platform for publishing advanced, multidisciplinary research on a wide range of technologies. The goal of the study is to demonstrate the impact and contribution of the JISIS by providing a complete overview of its academic structure based on articles published between 2019 and 2024 using bibliometric analysis. In order to illustrate the journal's significance, conceptual framework, and most prolific and significant writers as well as the sources of JISIS's information inflow a complete data collection containing 130 publications was examined. Various topics reviewed in JISIS over the five distinct sub-periods were found by the thematic analysis results. The main objective of this research is to analyze the journal's current state and identify its future focus and direction.
Lightweight Image Encryption Using Chacha20 and Serpent Algorithm
Authors: Najm Hayder , Mahdi Mohammed Salih , Abdulhussien Wijdan Rashid
Published: December 2024

Data security is prominent today primarily due to the numerous applications of digital images in the contemporary world. Innovations in lightweight encryption are being perceived as the solutions that would allow enhancing the levels of protection while incurring minimal impact on the size of the data and the speed of the processes. The lightweight encryption of images having lower complexities is a good choice in different suites, namely, in cloud computing systems and using social networks for communication. All users will not have to worry about their data being hacked when sharing the images. This paper presents a new lightweight image encryption technique that utilizes the ChaCha20 keys generator with the 16-round Serpent algorithm to provide a lightweight encryption process. The security analysis findings indicate that the suggested cipher is capable of withstanding both known and chosen plaintext attacks. Additionally, it exhibits a high degree of unpredictability, a significant level of security, and a strong sensitivity to key variations. The assessment of the encryption methods is done with the assistance of equipment through histogram analysis, entropy calculation, correlation analysis, mean squared error measurement, peak signal-to-noise ratio calculation, unified average change intensity assessment, normalized pixel difference rate analysis, and structural similarity index. As stated by experimental results, the proposed encryption method performs very well when adopted by various measuring instruments, the value of the information entropy equals to 7.98, which is nearly equivalent to the perfect value of 8. In addition, the value obtained for the normalized pixel difference rate is greater than 99.55%, with the unified average changing intensity equal to 30.11. As it has been mentioned, the decryption process can work very well.
Modular Web-based Learning Model to Address Underdeveloped ICT Infrastructure for Smart E-learning Education System
Authors: Ubaydullaeva Saodat , Umurova Guzal , Botirova Shakhlo , Yakhshiev Ashur , Mavlyanova Umida , Nazirova Shukriya , Khalova Maftuna , Kim Oleg
Published: December 2024

Advancements in Information and Communication Technology (ICT) enhance learning and instructional practices, generating chances for novel techniques and tools while simultaneously transforming the learning model. Historically, smart education models mostly consisted of qualitative investigations that delineated the conceptual structure and its implications for the Smart E-learning Education System (SEES). While these theoretically organized SEES can enhance student learning, facilitate peer and instructor communication, and improve teaching practices—thereby aiding in the comprehension of the status of learners and needs and offering real-time synchronous/asynchronous guidance—many qualitative investigations conducted in the past lack empirical evidence to substantiate the prioritization of E-Learning scheduling. This research first examined the technological barriers to implementing the SEES in developing nations. As a result, the suggested framework for the SEES based on underdeveloped ICT has been introduced. The system utilizes an integrated online/offline Web-Based Learning Model (WLM) incorporating a Service-oriented Architecture (SA) architecture to create SEES. The online mode is enabled for a WLM when an internet connection is accessible. The offline variant of the system is provided in a packed format and is used when Internet access is unavailable in an isolated classroom. A working example was launched to get input from learners and instructors across diverse educational levels. The trial installation and survey results confirm the viability and benefits of the suggested system.
Intrusion Detection Systems for Smart Tourism Platforms: Safeguarding Food Safety and User Privacy
Authors: Dziurakh Yurii , Kulyniak Ihor , Sarkisian Hanna , Zhygalo Ivan , Chepil Bohdan , Vaskovych Khrystyna
Published: December 2024

The rapid evolution of smart tourism platforms has transformed the travel and hospitality industry, enhancing user experiences through personalized services and real-time data access. However, this technological advancement also raises significant concerns regarding food safety and user privacy. By detecting and reacting to malicious activity and unauthorized access, Intrusion Detection Systems (IDS) are essential in reducing these risks. This article examines IDS's current status in relation to smart tourism platforms, emphasizing its technical implementations, efficacy, and difficulties. The study highlights the necessity of flexible, machine learning-based strategies to improve security measures and offers a thorough framework for incorporating IDS into smart tourism systems. The results highlight how crucial strong IDS are to protecting private user information and guaranteeing food safety in a world that is becoming more networked by the day.
Detecting Conjunctival Hyperemia Using an Effective Machine Learning based Method
Authors: Bamal S. , Singh L.
Published: December 2024

Among the many complex sensory organs, the human eye stands out. Prevention of eye illnesses is of the utmost importance since irreversible vision loss might result from postponed treatment. Therefore, to manage the continuous course of eye illnesses, early identification and monitoring are vital. Hyperemia, or redness, from increased blood flow, is one sign of conjunctivitis, an eye disorder defined by inflammation of the conjunctiva. Many illnesses and problems are often curable or significantly reducible with the help of the greatest medicines, sophisticated procedures, and early, accurate diagnosis by medical experts. Because there is a severe lack of diagnostic specialists, patients with vision difficulties are often not given the care they need because their conditions are not properly diagnosed. Segmentation approaches are crucial for detecting and quantifying hyperemic areas, which are necessary for diagnosing and evaluating conjunctivitis. This paper presents a very efficient machine learning framework for the detection of eye problems. The system does this by integrating segmentation approaches with feature extraction techniques. The use of the discrete cosine transform (DCT) generates feature vectors from the segmented regions of interest. Random forests and neural networks are two machine learning classifiers that are learned using feature vectors. This approach has a 96% success rate and has potential to assist ophthalmologists in assessing the severity of illnesses in objective and accurate manner. This strategy might be advantageous for adopting ICT-based solutions in public health systems in remote regions.
The Role of Artificial Intelligence Technologies in Evaluating the Veracity of Scientific Research
Authors: Kharipova Rashida , Khaydarov Izzatilla , Akramova Shakhnoza , Lutfullaeva Durdona , Saidov Shavkat , Erkinov Aftondil , Azizkhonova Sarvinoz , Erkinova Nigora
Published: December 2024

Artificial intelligence technologies are transforming the way scientific research is reviewed to make verification processes more accurate, efficient, and objective. This paper considers AI's role in testing the veracity of academic studies, with a focus on concerns of research fraud, data integrity, and adherence to ethical and methodological standards. Powered by AI, emerging tools allow the tracing of anomalies, inconsistencies, and potential biases in published research works with the help of NLP algorithms and machine learning models. It is also applied to various fields such as plagiarism detection, statistical analysis checking, and the identification of fabricated or manipulated data. However, flaws regarding the use of AI technologies include relying too much on automation of systems and requiring human supervision. Academic institutions and journals can further enhance scientific research to make it more credible, transparent, and coherent-a reason to be trusted globally-by integrating AI into its evaluation process.
Analysis of Internet of Things to Enhance Security Using Artificial Intelligence based Algorithm
Authors: Said Noha Mostafa Mohamed , Ali Sabna Machinchery , Shaik Naseema , Begum Khan Mohamed Jarina , Shaban Dr. Anwaar Ahmed Abd elLatif , Samuel Dr. Betty Elezebeth
Published: December 2024

Exploring creative methods to secure IoT networks is vital due to the enormous security concerns created by the rapid proliferation of the Internet of Things (IoT). To increase the security of the IoT, this study examines the use of artificial intelligence (AI), specifically deep learning (DL) as well as machine learning (ML) techniques. Three state-of-the-art DL algorithms—Long Short-Term Memory (LSTM), Deep Belief Networks (DBN), Convolutional Neural Networks (CNN)—along with three ML methods—CatBoost, LightGBM, and XGBoost—are examined. These algorithms are renowned for their capability to handle big, as well as unbalanced datasets. This work test how well each algorithm can identify anomalies, categorize attacks, and forecast vulnerabilities using an IoT security dataset, such as CICIDS 2017 as well as IoT-23. The research evaluates algorithms by comparing their accuracy and training time. Classification tasks are where CatBoost and LightGBM really good, but when it comes to sequential data and complicated attack patterns, DL algorithms like CNN and LSTM are good. To provide the groundwork for creating AI-driven security solutions optimised for IoT systems, this research sheds light on the benefits and drawbacks of each method.
Transformational Leadership Style in Higher Education: Scoping Literature Review
Authors: BOU Da , Rany SAM  , Sinoeurn KHEUY
Published: December 2024

Transformational leadership in higher education plays a crucial role in shaping institutional culture and driving positive change by inspiring faculty and students to achieve shared goals and embrace continuous improvement. The scoping review investigates the application and impact of transformational leadership in higher education institutions. By employing a systematic methodology, the study synthesizes literature published between 2019 and 2024, utilizing databases such as Google Scholar, ResearchGate, Europe PMC, ScienceDirect, CORE, and Scopus. The findings reveal that transformational leadership positively influences vital organizational outcomes, including job satisfaction, employee performance, and innovation within higher education institutions. However, challenges such as shared governance and academic autonomy hinder its implementation. This review highlights the fragmented literature and identifies essential themes, gaps, and future research directions, emphasizing the urgent need for a more comprehensive understanding of transformational leadership tailored to the unique dynamics of higher education. Future studies should explore adaptive strategies for implementing transformational leadership in diverse HEI contexts and investigate its long-term effects on institutional change and performance, highlighting the importance of continued research in this field.
Notas sobre el origen de una construcción aditivo-concesiva. Análisis diacrónico de «y todavía»
Authors: Alemany Martínez Amparo
Published: December 2024

El adverbio todavía suele describirse por sus significados temporales. En este sentido, se han analizado ejemplos sincrónicos donde se muestran usos no temporales, pero derivados de esta temporalidad. A partir de este corpus, se han encontrado casos en los que este adverbio se combina con la conjunción copulativa y. Por lo tanto, el objetivo de este trabajo es caracterizar esta combinación como una construcción y para ello: en primer lugar, se pretende describir su origen  y, en segundo lugar, qué significados ha tenido a lo largo del tiempo y por qué ha evolucionado de esta manera hasta una cercana diacronía.
Tres diccionarios a la conquista del mercado americano (1912-1927)
Authors: Garriga Escribano Cecilio
Published: December 2024

Los diccionarios son productos comerciales que se justifican por aparecer en un espacio y en un tiempo y responder a unas necesidades concretas. En los primeros años del siglo XX se dan las circunstancias para que se publiquen tres diccionarios importantes en el panorama lexicográfico del español: el Pequeño Larousse Ilustrado (1912), el Diccionario de la lengua española de Sopena (1917) y el Diccionario manual e ilustrado de la lengua española de la Real Academia (1927). Pero estas tres iniciativas, de gran éxito a lo largo del siglo XX, no responden solo a las necesidades del mercado lexicográfico español, sino que buscan penetrar en el público americano, un mercado desatendido, emergente e inmenso. Este estudio describe las circunstancias que llevaron a la publicación de estas iniciativas editoriales y comprueba, a través de la publicidad en la prensa del momento, la estrategia y los argumentos para introducirse en el mercado americano. Poner en diálogo estas tres obras permite, además, reivindicar el papel de la editorial Sopena en la lexicografía del español.
Image Contrast Enhancement Using General Histogram Equalization and Homomorphic Filtering
Authors: Olobo Neibo Augustine
Published: December 2024

The realm of image processing is characterized by the judicious application of mathematical operations to facilitate image transformation and refinement. By synergizing signal processing techniques, image processing can culminate in an enhanced image or the extraction of salient parameters. This research concentrates on ameliorating the contrast of images beset by low contrast, concomitantly extracting relevant image parameters. Images with subpar contrast can engender flawed outcomes in myriad disciplines, highlighting the necessity of contrast enhancement. This study introduces an innovative image processing system, conducting a comparative analysis of General Histogram Equalization and Homomorphic Filtering. The results unequivocally demonstrate the superiority of Homomorphic Filtering. The system's output manifests pronounced efficiency in elevating image contrast, heralding far-reaching implications.
Penerapan Metode Kaisa dalam Memahami Al-Qur’an pada Anak Usia Dini di RA Anak Shaleh Suwayuwo
Authors: Fikriyah Adela Tsamrotul
Published: December 2024

God has given the Qur'an as a guide and instruction for humanity, so that they can understand His will and pleasure. Introduction to and understanding of the Qur'an are essential aspects of religious education from an early age, especially in Early Childhood. The Kaisa method is one of the engaging ways to understand the Qur'an. This research aims to examine the application of the Kaisa method in understanding the Qur'an in early childhood. The author will identify the steps and challenges that arise in the implementation of this method and how it can contribute to the understanding of the Qur'an and the moral and religious development of early childhood. The research method applied is qualitative research in the form of descriptive research, with data collection and gathering techniques using observation, interviews, and documentation. The results of this study state that the application of the Kaisa method at the RA Anak Shaleh Suwayuwo involves three main steps, including the planning, implementation, and evaluation stages. In the application of the Kaisa method, supportive factors include high student motivation and a conducive learning environment.
A Kantian Analysis of the Contemporary Views on Nothings and Absences
Authors: Birgül Osman Gazi
Published: December 2024

This paper aims at contributing to contemporary literature on nothings and absences from a Kantian perspective. To achieve its aim, the article is structured in two main sections. The first investigates nihil privativum’s metaphysical-epistemological, cognitive, and linguistic aspects, shedding light on its enduring relevance and multifaceted nature. The analysis begins by elucidating nihil privativum’s negativity, highlighting the distinctions between its material and formal senses, and explores the epistemological intricacies of accessing knowledge concerning nothings and absences. Engaging with contemporary perspectives within the framework of Kant’s philosophy, it demonstrates the enduring applicability of Kantian framework in addressing contemporary philosophical debates. Furthermore, the section delves into the linguistic dimension of nihil privativum, examining the distinctions between various forms of nothings and absences and the classification of terms denoting contradictory nothings. The second section begins with exploring the cognitive aspect of nihil privativum, yet this time as a general and abstract concept, unveiling the step-by-step process involved in its formation. The second section ends by an analysis of the linguistic aspect of ‘nihil privativum’ as a rigid general term, arguing for its rigidity as a general abstract term by logical necessity, which is shown through two thought experiments within the discourse of possible worlds. The paper concludes that in the material sense, nothings and absences are not perceivable, in their formal sense they are conceptually representable, and as a general and abstract term ‘nihil privativum’ is rigid, containing all particular nihil privativa in its extension and designating the property of ‘being non-existent or absent’ in all possible worlds.
A Bibliometric Review on Realistic Mathematics Education Database Between 2000-2022
Authors: Kaymak Serkan , Maksutkan Bagzhan , Yildiz Furkan
Published: December 2024

Although there is a high demand for approaches to teaching "real mathematics" today, little is known about its current state. To bridge this gap, this research aims to review 506 studies on the transmission of "real mathematics" from the Scopus database between 2000 and 2022This study tackles four issues using descriptive and bibliometric analyses: (i) overall size, growth trajectory, and geographic distribution; (ii) most significant authors and research teams in this subject; and (iii) sources with the most sway in this field (i.e., journals, books, conferences); and (iv) how many of the research papers written for the RME method are focused on the impact of students on their results.
Islamic Economics towards the Sustainability of Economic Development
Authors:   State Islamic University of Ar-Raniry, Banda Aceh, INDONESIA, Khalidin Bismi , Musa Armiadi ,   State Islamic University of Ar-Raniry, Banda Aceh, INDONESIA, Fardesi Mertisa ,   State Islamic University of Ar-Raniry, Banda Aceh, INDONESIA, Ulfia Nur ,   State Islamic University of Ar-Raniry, Banda Aceh, INDONESIA
Published: December 2024

Islamic economics, grounded in sharia principles, serves as a pivotal force in advancing sustainable economic development, prioritizing justice, environmental sustainability, and the enhancement of social welfare. One of the main pillars of Islamic Economics is the prohibition of usury, which has a significant impact on the distribution of wealth and economic stability. The principle of justice in Islamic Economics is reflected in mechanisms for sharing profits and losses, such as mudarabah and musharakah, where the involvement of all parties in sharing the results creates a more stable economic environment. This system encourages active participation and shared responsibility, reducing the risk of speculation that could undermine economic stability. The importance of sustainability is realized through Islamic ecological principles. The caliphate concept, which emphasizes human responsibility as custodians of nature, is the basis for environmentally friendly economic practices. In this context, Islamic Economics encourages sustainable use of resources, supporting economic growth that does not damage the environment. In facing global economic challenges, Islamic Economics also offers an alternative to conventional monetary policy. Monetary policy directed at the stability of the value of money and distributional justice is the main focus, avoiding the risk of inflation which is often associated with uncontrolled money creation. Thus, Islamic Economics is not only an alternative economic framework but also a solution that has a perspective of justice and sustainability in facing the challenges of contemporary economic development. By combining ethical values, fair distribution, and attention to the environment, Islamic Economics paves the way towards inclusive and sustainable economic development.
CULTURAL VALUE ANALYSIS AT MADRASAH ALIYAH TAHFIDZ AL-QUR'AN ENVIRONMENT
Authors: Sholeh Muh Ibnu , Mohamed Mohamed Ramadan Abd Allah , Ali Himad , Sokip  , Syafi'i Asrop , 'Azah Nur
Published: December 2024

This study aims to analyze the role of culture at Madrasah Aliyah Tahfidz Al-Qur'an Pesanggaran Banyuwangi in an effort to understand the cultural values in shaping student character and maintaining the sustainability of local culture. The research method used was qualitative by conducting in-depth interviews with school principals, teachers, administrative staff, and students. The interview results showed that the madrasa has a strong commitment to maintaining and strengthening cultural values in the educational environment, such as honesty, hard work, social awareness, and respect for local traditions. The main findings included the integration of cultural values in learning, the active role of all stakeholders in promoting cultural values, and students’ awareness of the importance of local culture The main challenge faced was the influence of globalization and technology which could divert students’ attention from local cultural values. Therefore, continuous efforts are needed to promote cultural values and increase students’ understanding and appreciation of local culture. This study contributes to an understandings of the role of culture in education and shows how an educational institution can become an agent for the maintenance and development of local culture.
DEVELOPMENT OF EMOTIONAL INTELLIGENCE IN MIDDLE SCHOOL STUDENTS THROUGH ISLAMIC EDUCATION
Authors: Mundofi Ahmad Asron , Ulfa Siti Marya , Fahrudi Emi , Urokhim Auliya , Al-Rawafi Abdulkhaleq
Published: December 2024

This study aims to understand the development of emotional intelligence in middle school students. The research method used is qualitative, employing a library research approach to gather information. Both primary and secondary data sources were used. Primary sources include books, journal articles, or national and international scientific publications. Secondary sources are derived from studies relevant to the research topic. For data analysis, the authors referred to Miles and Huberman's framework, which includes data collection, data reduction, and conclusion drawing. The results of this study highlight several aspects of emotional intelligence: recognizing one's own emotions, managing emotions, self-motivation, recognizing others' emotions (empathy), and building relationships. Emotional intelligence is crucial to be enhanced and developed in students at school, as middle school is a pivotal age for emotional development. One effective way to improve students' emotional intelligence is through the implementation of Islamic education, because students will become emotionally intelligent and their learning outcomes will improve.
PEMBELAJARAN ILMU TAJWID PENGARUHNYA TERHADAP KEMAMPUAN MEMBACA AL QURAN
Authors: Hadian Dhandy Bhima Shakty , Safwandy Mulyawan , Nursobah Asep , Al Bahal Manal
Published: December 2024

Penelitian ini bertujuan untuk menganalisis pengaruh pembelajaran ilmu tajwid terhadap kemampuan membaca Al-Quran di kalangan siswa kelas 8 SMP Islam Al Karimah Bogor. Metode penelitian yang digunakan adalah kualitatif, melibatkan 22 murid sebagai subjek penelitian.Tiga surat Al-Quran, yaitu Al-Bayyinah, Al-Zalzalah, dan Al-'Adiyat, dijadikan objek uji untuk mengevaluasi kemampuan membaca, makhorijul huruf, dan pengetahuan tajwid. Hasil penelitian menunjukkan bahwa sebagian besar siswa mampu membaca ketiga surat dengan baik, dengan 16 orang pada Al-Bayyinah, 19 orang pada Al-Zalzalah, dan 20 orang pada Al-'Adiyat. Dalam aspek makhorijul huruf, sebagian besar siswa menunjukkan kemampuan yang baik, dengan 18 orang pada Al-Bayyinah, 17 orang pada Al-Zalzalah, dan 21 orang pada Al-'Adiyat. Sementara itu, dalam pengetahuan tajwid, hasil menunjukkan bahwa mayoritas siswa mampu menjawab pertanyaan tajwid dengan baik, yaitu 18 orang pada Al-Bayyinah, 19 orang pada Al-Zalzalah, dan 19 orang pada Al-'Adiyat. Dengan demikian, pembelajaran ilmu tajwid memberikan dampak positif terhadap kemampuan membaca Al-Quran siswa di kelas 8 SMP Islam Al Karimah Bogor, menunjukkan peningkatan yang signifikan dalam aspek-aspek yang diuji.
Contemporary Islamic sects in Indonesia
Authors: Prayetno Eko , Mubaraq Zulfi , Nur Ahmad Kholil , Al-Ghatnaini Raed Awadh Saeed , Saelaemae Tasnim
Published: December 2024

Islam's development in Indonesia has been shaped by both positive and negative influences. On the positive side, technology, modernization, and globalization have supported the spread and evolution of Islamic thought. However, challenges include the lasting impact of the Abbasid Dynasty's decline, psychological issues among Muslims, and the rise of religious identity politics. Overall, contemporary Islamic sects bring new perspectives, demonstrating how Islam adapts to modernity and is influenced by both local and global dynamics. (content analysis) Miles and Huberman models. The results found 3 things: First, the paradigm of Contemporary Islamic Sectss in Indonesia has 7 forms: Determinism Sects of thought, Liberalism Sects of thought, Contemporary Islamic Sects of thought, Fundamentalist Sects of thought, Modernism Sects of thought, extremism movement Sects, rational religious Sects Second, internally influencing Contemporary Islamic Sectss in Indonesia there are 3 factors positive influence and negative influence, influence of ijtihad ulama, influence of scientific epistemology As for externally influencing Contemporary Islamic Sects in Indonesia there are 3 factors The influence of capitalist economy, The influence of Islamisation, The influence of pragmatism Third, the positive implications of Contemporary Islamic Sectss in Indonesia. Islam's development in Indonesia has been shaped by both positive and negative influences. On the positive side, technology, modernization, and globalization have supported the spread and evolution of Islamic thought.
The Efficacy of Brainspotting and Sand Therapy to Reduce Anxiety Symptoms in Children Aged 8-9
Authors: Stein-Kiley Davi
Published: December 2024

This study explored the use of Brainspotting (BSP) in combination with Sand Therapy (ST) for use with 8–to 9-year-old children with anxiety symptoms in a school-based setting. Using the Spence Children's Anxiety Scales (SCAS), The Behavior and Feelings Survey (BFS), and the Top Problems Assessment (TPA), the research project measured anxiety as reported by parents/caregivers and students, internalizing, externalizing, and total concerns as reported by parents/caregivers, teachers, and students, and finally individually identified unique concerns as reported by parents/caregivers, teachers, and students. The researcher collected data from student participants (11) who experienced six sessions of BSP and ST. The quantitative data collected identified project signifiers for future researchers. Outcomes reflected statistical significance of a reduction in anxiety scores for parents in the subscale of generalized anxiety and a significant reduction of scores in children in the subscales of generalized anxiety and separation anxiety. Parents and teachers indicated significantly lower scores in internalizing and total concerns identified across time intervals. All three groups of reporters indicated a significant reduction of top problems identified across time intervals. Outcomes demonstrate the promise of the integrated practice of BSP and ST while laying a framework for future research of this method.
Analisis Perbandingan Fonologi Bahasa Indonesia dan Bahasa Melayu dalam Kartun Omar dan Hana
Authors: Hana Nurhasanah  , Agi Ahmad Ginanjar
Published: December 2024

This study aims to compare Indonesian and Malay in terms of phonology, with the cartoon series “Omar and Hana” as the research subject. Judging from the existing reality, Indonesian and Malay are two cognate languages that have many similarities, both in terms of grammar, vocabulary, and pronunciation. However, Indonesian and Malay also have differences, especially in terms of phonology. Therefore, this research tries to dig deeper into the comparison of phonology between Indonesian and Malay. The method used is descriptive qualitative with free listening and spoken involvement techniques and using writing techniques in data collection. The researcher found phonetic elements in Malay that aired on one of the themes in episode one, namely family themes. It was found that these two languages have almost similar functions of duration, stress, tone and stop in the pronunciation of vocabulary. However, there are differences, such as the sengau sound which is more distinctive in Malay. In addition, there is a change of vowel 'a' to 'ə' in some existing words that have the same meaning and arrangement pattern. This results in the existence of vocabulary whose sentences are different but the meaning is the same between Indonesian and the discovery of similar words but different meanings.
Analisis Kesalahan Berbahasa pada Teks Eksplanasi Karangan Siswa Kelas XI MA Hasyim Asy’ari Jogoroto Tahun Pelajaran 2024/2025
Authors: Rohani Nur Aisyah  , Aida Arini  , Ida Nur Hayati
Published: December 2024

This study aims to examine Indonesian language errors in the explanatory text written by class XI students of MA Hasyim Asy'ari Jogoroto in the 2024/2025 academic year. The focus of the research, namely analyzing Indonesian language errors in the fields of phonology, morophology, syntax, and semantics This research uses descriptive qualitative research methods. The data source used is the explanatory text written by students. The research subjects were students of class XI IIS 1 MA Hasyim Asy'ari, Jogoroto. The data collection technique in the research is documentation technique. The data analysis technique in the research consists of; (1) data reduction, (2) data presentation, and (3) verification and conclusion. The results found consisted of 25 Indonesian language errors including, five phonological errors, 13 morphological errors, five syntactic errors, and two semantic errors. Phonological errors consisted of two capital letters, two punctuation marks, and one phoneme omission. Errors in morphology consist of five nonstandard word writings, two word merging errors, one non-yielding affixation writing, and five affixation writing errors. Syntax errors consisted of two redundant word usage three inappropriate diction choices, and semantic errors consisted of two findings.
Menciptakan Lingkungan Belajar yang Menyenangkan untuk Meningkatkan Keaktifan Siswa Kelas III SDN Gempol Kolot 2
Authors: Jejen Tabriji
Published: December 2024

This study aims to create a fun learning environment to increase student activity in the third grade at SDN Gempol Kolot 2. The study used a classroom action research method with two cycles. Each cycle consists of planning, implementation, observation, and reflection stages. The results showed a significant increase in student activity after the implementation of more fun and interactive learning. In the first cycle, student participation in class discussions was only 60%, while in the second cycle it increased to 85%. Involvement in group activities also increased from 65% to 90%, and responses to learning materials increased from 55% to 80%. Additionally, students showed an increase in the desire to ask questions, rising from 50% to 75%. This study concludes that a fun learning environment can enhance student activity, positively influencing the quality of learning.
Pengaruh Kompensasi dan Motivasi Kerja terhadap Kepuasan Kerja Karyawan pada PT Eka Mas Republik Cabang Depok
Authors: Marshella Dwi Restu  , Ade Sri Mulyani
Published: December 2024

Job satisfaction is a response given by employees to their work, both in the form of positive responses and negative responses. Compensation and work motivation have an important role in influencing employee job satisfaction. The main objective of this research is to explore and analyze the relationship between compensation variables (X1), work motivation (X2), and employee job satisfaction (Y). The research method used is quantitative statistics. By using a questionnaire as the main instrument for data collection. The respondents involved in this research were 81 AE (Account Executives) at PT. Eka Mas Republik Depok branch. Data processing uses the SPSS 20 application with data analysis techniques using multiple linear regression to test the research hypothesis. The research results show that compensation (X1) and work motivation (X2) partially and simultaneously have a significant effect on employee job satisfaction Eka Mas Republik Depok branch.