bluuebunny/crossref_metadata_2025 huggingface dataset:
Convolutional Neural Network in Brain-computer Interfaces-exoskeleton System
Authors: Wang Yanbo
Published: January 2025

Brain-computer interfaces (BCIs) have emerged as a groundbreaking technology that has the potential to revolutionize the field of stroke rehabilitation. These innovative systems allow individuals who have suffered from strokes to regain lost motor function by directly connecting their brains with external devices, such as exoskeletons. One of the most commonly used paradigms in BCIs is motor imagery (MI), which involves generating electroencephalograms (EEGs) through imagined movements. This means that stroke patients can perform motor tasks simply with the help of exoskeletons by only thinking about them, without any physical movement required. The ability to decode these EEG signals is crucial for enabling effective communication between the brain and external devices. Deep learning (DL), particularly convolutional neural networks (CNNs) which are able to extract meaningful features from raw EEG data and accurately classify different types of imagined movements, has proven to be highly effective in decoding EEG signals generated during motor imagery tasks and has already made numerous contributions in this area. This article provides an initial overview of BCIs and CNNs, followed by an explanation of how CNNs decode EEG signals derived from motor imagery, as well as the utilization of BCIs for controlling exoskeleton devices. Finally, the current limitations and future directions in this field are discussed.
Research Progress and Prospect of Bio-ink Application in 3D Printing
Authors: Liu Yutao
Published: January 2025

In the past few decades, bioprinting technology has gradually become an indispensable part of biomedicine, among which bio-ink is an essential printing material in 3D printing technology. Biological scaffolds printed by bio-ink have a huge role and potential in tissue repair and regenerative medicine. The right bio-inks could enable 3D printing technology to print human tissue and organ replacements. Through the explanation and explanation of bio-ink as the main material of bio-3D printing, and review as a bio-3D material, the current advantages and disadvantages of bio-ink, its application and different classifications, as well as the future development trend and prospect of bio-ink. Biological inks still have many shortcomings, the comprehensive performance needs to be improved, such as how to maintain biocompatibility while having mechanical properties, in the future, there will be more and more biological inks to be studied to meet People's Daily life and medical needs. At present, a variety of emerging bio-inks with good comprehensive properties have been successfully developed, which have not only good biocompatibility but also good mechanical properties. It can meet the needs of 3D bioprinting. By studying the shortcomings of existing bio-inks, this study summarized and concluded the advantages and disadvantages of existing bio-inks and obtained the development direction of bio-inks.
Automated Cancer Detection Using CNNs: Innovations and Applications
Authors: Huang Ruijie
Published: January 2025

Large-scale datasets and complicated cell architectures provide challenges for traditional tumor identification approaches, which often rely on human analysis or traditional machine-learning techniques. This may result in errors and inefficiencies. The inconsistent shape of tumor cells may be a challenge for these methods, making border detection and classification inconsistent. This paper suggests an automated tumor detection technique based on convolutional neural networks (CNNs) to increase tumor cell border detection and classification accuracy and efficiency. Several experiments were carried out to confirm the suggested strategy's efficacy. This entails developing and refining the CNN architecture in addition to merging deep learning and data augmentation methods. According to the findings, the model has performed well in a variety of experimental settings, especially when it comes to classifying complicated cell samples. Furthermore, the feasibility of using this model for real-time border detection was explored, indicating its suitability for use in a medical setting. Subsequent investigations will concentrate on enhancing the capabilities of models, expanding their range, and tackling problems like disparities in data. This discovery is significant because it has the potential to transform tumor identification by providing a more accurate, scalable, and efficient approach that might be used extensively in clinical settings and eventually lead to better patient outcomes.
Haunted.
Authors: Cipollone Giada
Published: January 2025

Il progetto della performance sonora Haunted (Gaia Ginevra Giorgi, 2024) origina dal ritrovamento di nastri magnetici da un archivio radiofonico, compromesso irrimediabilmente da un’alluvione. La drammaturgia del lavoro individua l’haunting come via di accesso a quell’archivio, non per re-istituirlo, ripararlo e reintegrarlo dentro un regime positivo di visibilità e permanenza ma per creare le condizioni di una sua riapparizione creativa e sonora, desiderante e spettrale.
Il contributo si divide in due parti. Una prima parte, di carattere introduttivo, illumina l’orizzonte teorico di Haunted, affrontando in particolare la relazione tra hauntologia, archivi affettivi, performatività e suono. La seconda parte si addentra nel lavoro, provando a rintracciare le piste della drammaturgia sonora della performance – che in qualità di dramaturg ho contribuito a scrivere con l’autrice – attraverso l’analisi della funzione drammaturgica di alcuni dispositivi e fonti sonore, che sono stati immaginati e utilizzati sulla scena.
L'Ascolto come forma eco-politica di resistenza
Authors: Gentile Daniela
Published: January 2025

Negli ultimi due decenni, i Sound Studies e le Sonic Arts hanno esplorato il rapporto tra suono e potere, studiando il suono come fenomeno vibrazionale e relazionale, contribuendo allo sviluppo di pratiche che spostano l’attenzione da un approccio cocleare a uno non-cocleare, sulla base delle ricerche in ambito medico-scientifico che hanno evidenziato i benefici del suono sulla salute psicofisica. Tuttavia, il suono viene anche utilizzato come strumento di controllo e coercizione. In contesti militari e quotidiani, infrasuoni e ultrasuoni vengono sfruttati per provocare paura, oppressione e manipolazione emotiva e fisiologica. Il testo discute e sostiene l'ascolto come un atto di resistenza eco-politica: l’ascolto, come atto consapevole, si costituisce come strumento per sovvertire le strutture oppressive geopolitiche e promuovere una società più etica e inclusiva. Le Sonic Arts, ponendo l’ascolto al centro del contesto d’indagine, facilitano il dialogo interculturale, la giustizia acustica e l’emancipazione culturale, mentre si enfatizza la necessità di una ri-educazione all’ascolto, che sfrutti il suo potenziale terapeutico per una coesistenza globale più consapevole e inclusiva.
Musica, non musica, dischi d'artista
Authors: Acca Fabio
Published: January 2025

A partire dagli anni Novanta il disco in vinile sembrava destinato a scomparire, sempre più marginalizzato e relegato agli scaffali spesso polverosi dei collezionisti e di coloro che avevano vissuto l’era pre-digitale. Invece, da circa 15 anni a questa parte e a dispetto delle previsioni che lo davano per estinto, il vinile ha mostrato una sorprendente vitalità.
Gli analisti più attenti ritengono che l’inaspettato recupero del vinile sia dovuto soprattutto alla capacità del disco di travalicare il suo presunto limite tecnologico che ne vincola l’ascolto a una concretezza analogica ingombrante. Anzi, paradossalmente, è stato proprio grazie a questa seduzione materiale, in contrapposizione alla illimitata accessibilità offerta dalla smaterializzazione digitale, che il vinile ha potuto rafforzare il suo status “iconico”, creando uno spazio di interesse verso il quale, fin dal momento dell’acquisto, si proietta il piacere dell’ascolto.
In Italia, alcune realtà produttive indipendenti, tra cui Xing con la collezione "Xong", si sono inserite negli ultimi anni in questa rinnovata attenzione per il vinile, producendo "dischi d'artista", un ambito nel quale l’Italia, fin dagli anni Settanta, ha esercitato un ruolo pionieristico, nell'interpretare il disco come esplosione dello specifico visuale, come espansione dei limiti del processo artistico e delle sue rivendicazioni di ricerca sonora, vocale, acustica, tattile e corporea. Una tradizione che ha inizio con le avanguardie storiche, per arrivare fino ai giorni nostri passando per Cage, Fluxus, l’happening, la performance, l’arte concettuale, la Pop Art, la poesia sonora, la ricerca vocale, il minimalismo. Attraverso forme che appartengono anche esplicitamente alla nuova spettacolarità teatrale e alla ricerca in ambito rock ed elettronico "alternative".
L'articolo intende tracciare la storia di questa fascinazione per i dischi vinile in campo artistico-performativo, attraverso una contestualizzazione e degli esempi mirati. Come si è sviluppata in Italia fino a oggi e come si rapporta alla cultura digitale in termini non solo di contrapposizione ma di virtuosa convivenza.
Sonic Landscapes in the Metaverse: Exploring Immersive Audio Design in Virtual Environments
Authors: De Masi Vincenzo , Di Qinke , Li Siyi , Song Yuhan
Published: January 2025

Abstract This study examines the critical importance of audio design in crafting immersive experiences within the metaverse. The analysis focuses on key technologies driving this field, with particular emphasis on spatial audio techniques such as Head-Related Transfer Functions (HRTF) and Ambisonics, which enable precise three-dimensional sound positioning.
The research investigates adaptive audio rendering, highlighting tools such as Microsoft's Spatial Audio Unity Plugin, which facilitates dynamic soundscape adjustments based on user interactions. Furthermore, the application of artificial intelligence in audio design is explored, with a discussion on the potential of Generative Adversarial Networks (GANs) for synthetic sound production and personalized audio experiences.
The study presents two significant case studies: the partnership between TCG World, STYNGR, and Downtown for interactive sonic environments, and research on Audio Augmented Reality (AAR) in art galleries. Ethical considerations, including privacy, accessibility, and the psychological impact of immersive audio, are critically examined.
The research concludes by exploring future directions, such as cross-modal integration and emotional AI systems in metaverse audio design, emphasizing the necessity for responsible development practices. Through this comprehensive analysis, the study aims to provide insights into the challenges and opportunities presented by audio design in virtual environments, contributing to the evolving landscape of metaverse technology.
L'ascolto come pratica femminista
Authors: Sosta Francis
Published: January 2025

Nelle lotte dei movimenti sociali e dei femminismi, la pratica dell'ascolto svolge, ed ha svolto, un ruolo fondamentale nell'emancipazione delle voci delle soggettività subalterne e nella costruzione collettiva dell'idea di voce politica. Questo articolo è volto a sottolineare due aspetti di carattere politico ed epistemologico che hanno influenzato la pratica dell'ascolto come viene esplorata oggi nelle ricerche artistiche contemporanee: in primis il superamento della tradizione fenomenologica che ha canonizzato l'ascolto come fenomeno puramente percettivo, acustico e tecnico; insecundiscome l'ascolto abbia iniziato ad occuparsi non solo dell'udibile, del sonoro, dell'acustico, ma soprattutto dell'inudibile, di ciò che non riusciamo a sentire, di ciò che non si sente perché invisibile e/o invisibilizzato, perché non ha voce, perché è silenziato, ridefinendo l'ascolto come modalità di trasmissione di conoscenza intergenerazionale e intersezionale. Per fare ciò e per comprendere più da vicino il ruolo del femminismo di seconda ondata all'interno della genesi dell'ascolto come pratica presenterò qui la traduzione in italiano di alcuni passaggi tratti dalla pubblicazione The Force of Listening di Lucia Farinati e Claudia Firth, un libro chiave sulla legacy tra ascolto e prassi femminista.
Il blog di Giacomo Verde (2002-2013)
Authors: Connessioni Remote Redazione
Published: January 2025

Il blog di Giacomo Verde (2002-2013). Una sistemazione in formato pdf del blog di Giacomo Verde
Interventi di Giacomo Verde sulla mailing list WEBCAM TEATRO del 2001
Authors: Connessioni Remote Redazione
Published: January 2025

Interventi di Giacomo Verde sulla mailing list WEBCAM TEATRO del 2001
Editoriale
Authors: Monteverdi Anna Maria , Gemini Laura
Published: January 2025

Editoriale n. 8
Introduzione
Authors: Tomeo Caterina , Attimonelli Claudia
Published: January 2025

Introduzione
THE EFFICACY AND SAFETY OF DAPAGLIFLOZIN AND SITAGLIPTIN IN PATIENTS WITH UNCONTROLLED TYPE 2 DIABETES: A QUASI EXPERIMENTAL STUDY
Authors: IFTIKHAR F , RAFIQUE Z , ASGHAR Z , NIAZI AW , IFTIKHAR M , MEHBOOB M
Published: January 2025

Type 2 diabetes mellitus (T2DM) is a prevalent metabolic disorder that requires effective glycemic control to prevent complications. Dapagliflozin, a sodium-glucose cotransporter-2 (SGLT2) inhibitor, and Sitagliptin, a dipeptidyl peptidase-4 (DPP-4) inhibitor, are commonly used in combination with Metformin for patients with uncontrolled T2DM. However, there is limited comparative data on the efficacy and safety of these two therapeutic regimens Objectives: To compare the efficacy and safety of Dapagliflozin and Sitagliptin in patients with uncontrolled type 2 diabetes. Methods: After approval from the ethical committee of Islamabad Medical Complex, 250 patients meeting the selection criteria were enrolled. Written informed consent was obtained from patients or their guardians. The patients were divided into two groups: Group A received Dapagliflozin with Metformin, while Group B received Sitagliptin with Metformin. Baseline lab tests were performed and repeated after 12 weeks, along with safety and tolerability assessments. Changes in HbA1c and other parameters were recorded. Efficacy was measured by changes in HbA1c, and safety was evaluated based on reported side effects. Data were collected using a predesigned questionnaire. Results: The study population had a mean age of 45.32 years and a mean BMI of 26.02; 54% were male and 46% female. Most participants (62.4%) were aged 31-50, and 33.2% were over 50. BMI distribution showed 45.6% were of normal weight, while 27.6% were obese. Group A's HbA1c dropped from 9.51 to 7.30 (mean difference: 2.20), and Group B's from 9.39 to 8.16 (mean difference: 1.23), both with p=0.00. Adverse effects included more UTIs in Group A (40.8% vs. 14.4%) and more diarrhea in Group B (38.4% vs. 4.8%), with small differences in other symptoms. Conclusion: The study concluded that both dapagliflozin and sitagliptin effectively reduce HbA1c in uncontrolled type 2 diabetes. Dapagliflozin showed a greater HbA1c reduction but had a higher rate of urinary tract infections, while sitagliptin had fewer UTIs but more gastrointestinal side effects. Further studies are needed to confirm these results and assess long-term safety and efficacy.
KNOWLEDGE AND PRACTICE OF NURSES REGARDING CHEST DRAIN MANAGEMENT
Authors: AHMAD S , SADDIQUE H , TASNEEM SS
Published: January 2025

Chest drain management is a vital component of critical care nursing, requiring comprehensive knowledge and adherence to evidence-based practices. In resource-limited settings like Pakistan, gaps in nursing competencies pose challenges to patient safety and outcomes. This study aimed to assess the knowledge and practices of ICU nurses regarding chest drain management in tertiary care hospitals. Methods: A descriptive cross-sectional study was conducted among 120 ICU nurses in Lahore, Pakistan. Participants were selected using convenience sampling. Data were collected through a validated structured questionnaire covering demographic information, knowledge, and practices. Statistical analysis was performed using SPSS version 26, employing descriptive and inferential statistics. Results: While 90.6% of nurses demonstrated correct knowledge about chest drain insertion sites, only 11.1% were aware of specific indications such as pneumothorax and hemothorax. Infection prevention practices were inadequate, with only 13.7% adhering to proper protective measures. Practices such as patient positioning and dressing changes were also suboptimal, with adherence rates of 10.3% and 7.7%, respectively. Advanced qualifications and greater experience were associated with higher competency levels (p < 0.05). Conclusion: The study identified significant gaps in knowledge and practices related to chest drain management among ICU nurses in Pakistan. Targeted training programs, competency assessments, and enhanced institutional policies are essential to address these deficiencies, improve patient outcomes, and ensure adherence to international standards in critical care nursing.
Ultrasound Accuracy in the Diagnosis of Anterior Talofibular Ligament Acute Injury: A Single-Center Study
Authors: Abdulqader Shaymaa Khalid , Shakir Nabaa Aswad , Ahmed Saja Ali , Hassan Qays Ahmed
Published: January 2025

Background: Ankle sprains are the most common injury in ankle joint and rank as the second most frequent injury in sports. Objectives: To compare ultrasonography sensitivity in identifying anterior talofibular ligament (ATFL) tears in patients who came within four days of injury vs those who presented later. Methods: A prospective study was conducted at Al-Kindy Teaching Hospital between October 2022 and April 2023, involving consecutive patients who presented to orthopedic outpatient clinic unit with an inversion-type ankle injury. All patients underwent clinical examination by an orthopedic surgeon, followed by an ultrasound assessment of lateral ankle ligaments using a standard protocol, performed by a qualified radiologist. MRI was used as the reference standard for comparison. The patients were divided into two groups based on the timing of the examination. Early examination, for those presented within the first 4 days after the injury, and delayed examination, including those who presented later. Results: This study recruited 40 individuals with magnetic resonance imaging (MRI) -confirmed ATFL tears with a mean age of 32.3 years. Twenty-five (62.5%) patients presented within four days of the injury, whereas 15 (37.5%) patients did so later. Ultrasound identified 35 ATFL tears at an overall sensitivity of 87.5%. Early ultrasound showed the tear in 21 with a sensitivity of 84%. In 14 of 15 delayed presentation patients, ultrasonography detected the ATFL tear with a sensitivity of 93.3%. Conclusions: Ultrasound is useful in early detection of ATFL tears; however, its efficiency improved even further after 4 days post-injury.
Protective and Risk Factors of Mental Health Problems: The University Students Perspective
Authors: Murtaza Fatima , Akhtar Nasreen , Majeed Ayesha
Published: January 2025

Mental health problems are more noticeable in university students (Eisenberg et al., 2007); therefore, there is a dire need to study students' perspectives on protective and risk factors of mental health problems. To explore the university students' perspectives on protective and risk factors for mental health. The study was conducted in Lahore, a city in Punjab, and the duration of the study was from 14-6-2023 to 14-05-2024. A purposive sample of twenty university students (men: 10, women, 10) with an age range of (18-24) years were recruited in the study. A semi-structured interview guide was developed to explore the participants’ understanding of the mental health problems faced in academic life. The study followed the thematic analysis guidelines given by Braun and Clarke (2006) to explore the key findings. The results of the thematic analysis emerged major themes of risk factors named mental health problems, academic stressors, and socio-emotional stressors in university students. Mental Health problems are i.e. depressive symptoms, stress-related symptoms and anxiety-related symptoms. Socio-emotional stressors are i.e. financial crisis, relationship problems, emotional dysregulation and poor decision-making. At the same time, protective factors are mental health awareness, a positive mindset, social support and academic success. The research findings showed that mental health problems in University students are negatively influenced by stressful life happenings.
Exploring Subjectivity and Modernist Language Techniques: Time, Gender, and Identity in Virginia Woolf's A Room of One’s Own
Authors: Ahmed Sana Nazir , Ahmad Sulaiman , Afzaal Kalsoom
Published: January 2025

This research examines the advantages and drawbacks of modernist ideas through Virginia Woolf's perspective, emphasizing her interaction with time, modernism, and the notion of gender equality. This study explores A Room of One’s Own, emphasizing Woolf's distinctive take on modernist themes, her portrayal of gender, and her criticism of societal conventions. The analysis highlights Woolf's skill in connecting personal struggles with wider cultural and philosophical issues, especially those impacting women's lives and identities. Moreover, the research explores how Woolf reinterprets character representation, time, and modernity, illustrating the transformative impacts of modernization and technological advancements in the early 20th century. This study seeks to shed light on Woolf's insightful critique of modernism and gender relations, highlighting her unique narrative technique and ideological input during her time. This is qualitative research based on the primary data of the text. The researcher examined the text by connecting time, subjectivity, and modernism, seeking to understand how gender and the subversion of gender roles are represented in Virginia Woolf's essay A Room of One's Own.
Application of the homotopy perturbation method for weakly singular Volterra integral equations
Authors: Altürk Ahmet
Published: January 2025

In this paper, we study a weakly singular Volterra integral equation of the second kind with
the kernel $\displaystyle K(x,t) = \left (\frac{t}{x}\right )^\nu\frac{1}{t}$, for some $\nu >0$ and $x\in[0,X]$. The powerful homotopy perturbation method (HPM) is initially applied to find a solution to the integral equation for $\nu > 1$. We then consider the interesting case where $0< \nu < 1$. Applying the homotopy perturbation method constructed by a convex homotopy or other series-related methods produces unwanted results for this case. In this study, we propose conditions to be imposed to overcome this issue. In addition, for completeness, we investigate all cases where $\nu\in \mathbb{R}$. Some numerical examples are provided to confirm the simplicity and applicability of the applied methods.
The basis property of generalized eigenfunctions for one boundary value problem with discontinuities at two interior points
Authors: Olğar Hayati , Mukhtarov Oktay
Published: January 2025

In this study, we consider a spectral problem for one boundary value problem with discontinuities at two interior points. The boundary conditions involve a spectral parameter. We consider some compact, positive, self-adjoint operators to reduce the spectral problem to an operator-pencil equation. Then, it was proven that this operator-pencil is positive definite, the spectrum is discrete, and the system of weak eigenfunctions forms a Riesz basis of the appropriate Sobolev space.
Impact and Necessity of ICT Adoption in Agriculture: Insights from Regression Analysis
Authors: Oki Olukayode , Agbeyangi Abayomi
Published: January 2025

The integration of Information and Communication Technology (ICT) in agricultural practices is gaining global attention for its potential to enhance traditional farming systems. This case study explores ICT adoption in livestock farming in Sheshegu District, Eastern Cape, South Africa, examining its impact on productivity. Data were collected through interviews and field observations, evaluating the effectiveness of ICT tools, including mobile phones, radios, TVs, and the internet, in improving communication, resource management, market access, and overall farm sustainability. The findings reveal mobile phones (30%) as the most used ICT tool, followed by radios (25%) and TVs (20%). The Regression analysis indicated a positive correlation between perceived benefits (relative advantage) and ease of use (compatibility). The analysis further revealed a negative influence of perceived complexity (-0.20) and limited opportunities for trialability (-0.15), suggesting that adopting new technologies could be complicated if not properly tested. Key challenges include weak mobile signals and language barriers. The study highlights the need for improved infrastructure, digital literacy, and collaborative efforts to enhance ICT-driven agricultural productivity
Estimation Techniques for Censored Sample Data in Accelerated Life Testing
Authors: Alharthi Amirah Saeed
Published: January 2025

Common in medical studies or reliability analysis, the failure of individuals or units may be attributable to more than one cause. Also, design the life-testing experiments under a highly reliable product or materials required a long period of time which requires stress higher than normal stress. In this paper, I adopt the mixture of two exponential distributions which has become increasingly necessary in engineering statistics. Under a step stress accelerate life tests and type II censoring method for independent competing risks data the model is formulated. The estimation problem is addressed here from a classical viewpoint. The maximum likelihood estimates of the unknown model parameters are formulated. Additionally, the asymptotic confidence intervals depend on normality theory, along with the two bootstrap confidence intervals are proposed. Finally, to validate the proposed model and assess the estimation methods, I formulated an extensive simulation study
Enhancing Commit Message Categorization in Open-Source Repositories Using Structured Taxonomy and Large Language Models
Authors: Al-razgan Muna , Alaqil Manal , Almuwayshir Ruba , Alhijji Zamzam
Published: January 2025

Version Control Systems (VCS) manage source code changes by storing modifications in a database. A key feature of VCS is the commit function, which saves the project’s current state and summarizes changes through Commit Message (CM). These messages are vital for collaboration, particularly in open-source artificial intelligence (AI) projects on platforms, where contributors work on rapidly evolving codebases. This paper presents an empirical analysis of CM within open-source AI repositories on GitHub, focusing on their content, the effectiveness of categorization by Large Language Models (LLMs), and the impact of message quality on categorization accuracy. A sample of 384 CMs from 34 repositories was manually categorized to establish a taxonomy. Python was then used for automated keyword extraction, refined with regex patterns. Also, an experiment involved assessing the performance of ChatGPT-4 in categorizing CMs, first without guidance and later using our developed taxonomy. Our findings indicate that the quality of CMs varies greatly, which has a clear impact on how efficiently they can be categorized. This study contributes to the field by providing a structured taxonomy of CMs and exploring how tools like ChatGPT-4 can be used to analyze them. The insights from this research are intended to benefit both academic studies and real-world software development, particularly by helping teams better understand and automate the handling of CM in AI projects.
On a Heuristic Approach to the Description of Consciousness as a Hypercomplex System State and the Realistic Possibility of Machine Consciousness
Authors: Otte Ralf
Published: January 2025

This theoretical article presents a heuristic viewpoint that shows that the inner states of consciousness experienced by every human being may have a physical, but imaginary, hypercomplex basis. The central idea is that human consciousness is fundamentally based on physical processes and does not require any chemical, biological or other properties of an unknown type of vitality. However, previous descriptions are not sufficient to account for the physical characteristics of consciousness. It is not even sufficient to understand consciousness, especially so-called phenomenal consciousness, as a quantum-physical process, since the energy eigenvalues of quantum-physical processes are real-valued, whereas those of consciousness processes most likely are not. Therefore, the article introduces a new algebra in order to formalize physical processes in the future, which elude any measurability, although - and this is what matters - they can encode information. Once one accepts the hypothesis that consciousness is a physical process (even a strange one), one can assume that specially prepared technical machines could also develop rudimentary forms of consciousness. Such forms of consciousness would of course be completely different from human consciousness, which is why they would also have to be linguistically differentiated. One possibility would be to describe such characteristics, if they exist, as machine consciousness or, more precisely, as so-called hypercomplex system states. The last is because a hypercomplex algebra is required for formalization. The mathematical results presented in the paper predict new physical phenomena. Whether these phenomena (consciousness phenomena) really exist, can only be decided experimentally. The description of dedicated experimental tests will be discussed in another article in this journal. The hypothesis of the existence of hypercomplex system states on technical machines is already supported by the performance of highly complex AI systems. However, this has yet to be proven. In particular, there is a lack of experimental data that distinguishes systems with hypercomplex system states from other systems, which is why this question will be addressed in subsequent articles.
SML-AutoML: A Smart Meta-Learning Automated Machine Learning Framework
Authors: Gomaa Ibrahim , M. O. Mokhtar Hoda , El-Tazi Neamat , Zidane Ali
Published: January 2025

In recent years, Machine Learning (ML) and Automated Machine Learning (Auto-ML) have attracted significant attention. The ML pipeline involves repetitive tasks such as data preprocessing, feature engineering, model selection, and hyperparameter tuning. Developing a machine learning model demands considerable time for development, stress testing, and numerous experiments. Additionally, constructing a model with a limited search space of pipeline steps and various algorithms can take hours. As a result, Auto-ML has become widely adopted to reduce the time and effort required for these tasks. However, most current Auto-ML frameworks primarily concentrate on algorithm selection and hyperparameter optimization, known as CASH, while overlooking other critical ML pipeline steps like data preprocessing and feature engineering. This limited focus often results in suboptimal pipelines for specific datasets. Moreover, a significant number of frameworks overlook the integration of meta-learning, resulting in the promotion of high-performing pipelines customized for individual tasks rather than a universally optimal solution. Consequently, this deficiency necessitates the quest for a new pipeline tailored to each unique task, further underscoring the importance of a more comprehensive approach in Auto-ML frameworks. Additionally, while some Auto-ML frameworks address the entire pipeline, they often overlook the challenges posed by imbalanced datasets. To address these issues, we propose a novel and efficient meta-learning Auto-ML framework that effectively manages imbalanced datasets. The proposed framework outperforms state-of-the-art results in terms of accuracy, precision, recall, and time, demonstrating, on average, more than 5% improvement compared to the existing auto-ML frameworks. This paper also illustrates how our proposed framework outperforms current state-of-the-art solutions.
Efficacy of Utilizing Large Language Models to Detect Public Threat Posted Online
Authors: Kwon Taeksoo , Hunjoon Kim Connor
Published: January 2025

This paper examines the efficacy of utilizing large language models (LLMs) to detect public threats posted online. Amid rising concerns over the spread of threatening rhetoric and advance notices of violence, automated content analysis techniques may aid in early identification and moderation. Custom data collection tools were developed to amass post titles from a popular Korean online community, comprising 500 non-threat examples and 20 threats. Various LLMs (GPT-3.5, GPT-4, PaLM) were prompted to classify individual posts as either ”threat” or ”safe.” Results indicate promising performance, with GPT-4 achieving the highest F1 score of 0.960, followed by PaLM2 (0.934) and GPT-3.5 (0.726). All models demonstrated high recall for threat detection, while precision varied. This study highlights the potential of LLMs in automating threat detection in online communities, particularly in non-English contexts. However, it also underscores the need for careful model selection, prompt engineering, and consideration of cost-effectiveness in real-world applications. Future research directions include improving multilingual capabilities and refining prompts for enhanced reliability in threat detection scenarios.
Knowledge, Attitudes, and Practices of Undergraduate Nursing Students Toward Evidence-Based Practice: A Cross-Sectional Study in Khyber Pakhtunkhwa, Pakistan
Authors: Rahman Saad Ur , Ali Babar , Khan Shaier , Abdullah . , Imtiaz Laila , Naz Irum , Ubaid Hajira , Ismail Muhammad , Ullah Hanif
Published: January 2025

Evidence-based practice (EBP) in nursing is the collective utilization of best evidence, clinical expertise, and patient preference. Limited studies were found regarding the EBP of nursing students. Objectives: To assess the knowledge, attitude, and practice (KAP) regarding EBP among undergraduate nursing students in District Mardan and to explore the relationship between demographic variables and students' attitudes and practices toward EBP. Methods: A descriptive cross-sectional design was employed, involving 111 4th-year undergraduate nursing students selected through a one-stage cluster sampling technique. Data were collected using a structured questionnaire comprising demographic details and the Students' Evidence-Based Practice Questionnaire (S-EBPQ), which was scored on a seven-point Likert scale. The internal consistency of the S-EBPQ was validated using Cronbach’s Alpha (α = 0.82). Data were analyzed using SPSS version 26.0, with independent t-tests and one-way ANOVA applied to examine the relationship between demographic variables and EBP attitudes and practices. Results: The analysis revealed that 70.2% of students exhibited a moderate level of EBP, with 48.4% demonstrating a highly positive attitude towards EBP. While no significant association was found between demographic variables and practice scores, the religious group variable was significantly associated with attitude scores (p = 0.006). Gender, though not significant, approached the significance threshold (p = 0.078). Conclusions: This study contributes to the limited body of research on EBP among nursing students in Pakistan, particularly in Khyber Pakhtunkhwa. It highlights the importance of demographic factors, especially religious background, in shaping students' attitudes toward EBP, suggesting the need for tailored educational interventions
Dental Arch Asymmetry: What Considerations? For What Objectives? A Case Study
Authors: Elhaddaoui Rajae , Benyahia Hicham , Zaoui Fatima
Published: January 2025

Dental arch asymmetry is defined as the deviation of incisor median from the median sagittal plane (MSP), the manifestations of which are exclusively dental and occlusal, without associated skeletal abnormalities.
The diagnosis of possible dental arch asymmetry requires an analysis of space by hemi-arch, which takes into account the asymmetric aspect of malocclusion and gives more realistic reflection of therapeutic goals. Indeed, this analysis makes it possible to highlight:
 requirement for different dental movements on the right and left.
 necessity for possible asymmetric extractions.
 imperatives of differential management of anchorage
This work illustrates the recommended approach for space analysis in a case of dental arch asymmetry. The objective was twofold: firstly, to demonstrate the importance of hemi-arch analysis in comparison to comprehensive assessment of space across the entire arch; and secondly, to define therapeutic goals indicated by this analysis, which are related to the position of lower incisor in the antero-posterior direction and correction of anterior and posterior asymmetries, and differential management of anchorage.
A Novel Methodology for Classifying Wikipedia Articles: Insights into Digital Forensics and Content Integrity
Authors: Imran Khan  , Nadia Tabassum  , Muhammad Asim  , Muhammad Hassan Ghulam Muhammad  , Mushtaq Niazi  , Umer farooq  , Muhammad Farrukh Khan
Published: January 2025

Well-written articles shape readers interaction with information, as top-ranked articles are more likely to be seen than those further down the ranks. We present a new approach to classifying Wikipedia articles across various quality dimensions, harnessing knowledge gained from expert assessments. The study also includes an attempt to develop a solid framework that meets the evaluation of the quality of an article for the sole purpose to ensure the integrity of the content in the multipoint structure of the Internet, and to have input for the applications of Digital Forensics. The suggested method: the article details is gathered using the Wikipedia API and a set of metrics is well-defined to store and analyze this information. The methodology then explores the relationship between independent variables (metrics of the articles) and the dependent variable (quality level as rated by the experts). Three machine learning algorithms (RF, J48, and NB) are then used to classify the articles. The classification is dragged along with the expert reviews to determine whether quality level of Wikipedia articles. The empirical evidence illustrates the effectiveness of the proposed approach, with average accuracies greater than 70% for the J48 algorithm. The precision, recall and F-measure values corresponding to the classification models’ accuracy exceed 0.7, representing a strong performance model. Overall, these findings indicate that the method uses reliable criteria, which classifies Wikipedia articles in accordance with experts' opinions, making it a reliable tool for quality assessment. In addition, the study underscores the significance of the combined focus on precision and recall for assessing the quality of a model, thereby demonstrating how useful this method is in ensuring that content can be trusted and as part of digital forensics.
Значення використання цифрових платформ у забезпеченні зайнятості в Україні
Authors: Бондар Ю. В.
Published: January 2025

Цифрова трансформація привела до значних зрушень у сфері соціально-трудових відносин, серед яких особливої уваги заслуговує поширення цифрових платформ як нового середовища, що дозволяє організувати підбір персоналу, забезпечити необхідний рівень зайнятості та підвищити ефективність управління трудовими ресурсами. Такі зміни позначилися на появі та активному розвитку цифрових платформ зайнятості, які дозволяють краще пристосуватися до нових реалій функціонування ринку праці, зокрема в умовах воєнних дій і кризових явищ; вирішити проблеми, що пов’язані зі змінами до кваліфікаційних вимог працюючих. Відповідно комплексне вивчення особливостей цифрових платформ та їх ролі у сприянні зайнятості населення України є актуальним питанням, значення якого посилюється в умовах необхідності адаптації національної економіки до сучасних викликів. Метою статті є поглиблення теоретико-методологічних основ цифрових платформ зайнятості та окреслення їх значення у сприянні зайнятості населення в Україні, що у подальшому дозволить активізувати їх розвиток на вітчизняному просторі. Для досягнення поставленої мети використано низку загальнонаукових та специфічних методів пізнання, серед яких: контент-аналіз, аналіз і синтез, метод аналітичного групування, метод систематизації та спостереження, що у сукупності дозволили вирішити поставлену мету. У ході дослідження цифрову платформу зайнятості визначено як інтернет-сервіс, що допомагає забезпечити взаємодію між роботодавцями, працівниками та іншими учасниками ринку праці щодо підбору, організації та управління трудовими ресурсами. До основних характерних ознак цифрових платформ зайнятості, що обумовлюють їх активне поширення, зараховано доступність, прозорість, адаптивність, автоматизацію та інтеграцію. Значення від поширення цифрових платформ зайнятості розкрито на основі з’ясування переваг, які отримує суспільство від їх поширення, а саме робітники, роботодавці та ринок праці в цілому. Визначено, що суттєві переваги цифрових платформ зайнятості привели до їх активного поширення в Україні, що дозволяє вирішити низку соціально-економічних проблем вітчизняної економіки.
Виховний потенціал дисциплін іншомовного спрямування в розвитку міжкультурної компетентності здобувачів ЗВО
Authors: Солошенко-Задніпровська Н. К.
Published: January 2025

Актуальність теми дослідження зумовлена глобалізаційними процесами, які підвищують значення міжкультурної компетентності як складника іншомовної комунікативної підготовки фахівців у закладах вищої освіти. Дисципліни іншомовного спрямування відіграють ключову роль у розвитку міжкультурного розуміння та толерантності. Мета дослідження полягає в розгляді виховного потенціалу дисциплін іншомовного спрямування як інструменту формування міжкультурної компетентності здобувачів вищої освіти. Методи дослідження включають теоретичний аналіз літератури, узагальнення даних, систематизацію емпіричних матеріалів та використання інтерактивних, проєктних і рефлексивних підходів у навчанні. Встановлено, що інтеграція автентичних матеріалів, використання цифрових ресурсів, організація міжкультурних діалогів та впровадження інтерактивних методів сприяють ефективному формуванню міжкультурної компетентності. Сформульовано стислі рекомендації для оптимізації навчального процесу, спрямовані на розвиток соціокультурної компетенції, критичного мислення та емоційного інтелекту. Теоретичне значення роботи полягає у формуванні цілісного підходу до розвитку міжкультурної компетентності як важливого компонента іншомовної освіти. Практична значущість дослідження полягає в розробленні методичних рекомендацій для підвищення ефективності іншомовної підготовки в умовах глобалізації. Наукова новизна роботи полягає в поєднанні цифрових інструментів та культурологічного компонента для інтеграції міжкультурної взаємодії в процес викладання іноземних мов. Зроблено висновок, що такі підходи формують професіоналів, готових до міжнародної співпраці. Перспективами подальших досліджень є розроблення нових інтерактивних методик та вивчення впливу цифровізації на розвиток міжкультурної компетентності.
Evaluating The Professional Practice of Community Organization Method in Orphan Care Institutions: An applied study on Orphan Care Institutions in Makkah Al-Mukarramah Region
Authors: Yali Nader
Published: January 2025

The current research aims to evaluate the professional practice of community organization in Orphan Care Facilities (OCF) in Makkah Al-Mukaramah region. To achieve this goal, a set of questions has been put forward: What are the characteristics of social work professionals working in OCF in Makkah region (Makkah, Jeddah, Taif)? To what extent do social workers in OCF adhere to professional skills, roles, tools, and principles of community organization in their practice? To what extent is the professional practice of community organization evaluated in OCF in Makkah region? What are the obstacles facing the professional practice of community organization in OCF in the Makkah region? What proposals can help overcome these obstacles? The research presents key concepts including "evaluation and assessment", "the orphan", and "community organization". An analytical framework based on ecological theory is utilized, alongside a theoretical framework detailing the goals, ethics, skills, roles, and tools of the community organization practice in social work. This study employs an evaluative research approach, using quantitative statistical methods to analyze data via the SPSS program. The research was conducted on a random sample of 40 social work professionals working in OCF in the Makkah region. Data was collected through a questionnaire prepared by the researcher. Key findings reveal that most respondents evaluate their work positively within the workplace. The results indicate that "the skill in developing professional relationships" is the most adhered to skill among social workers, followed by "the skill in teamwork". "Seminars" are identified as the primary professional tool used by social workers, followed by "interviews". The primary professional ethics adhered to by social workers include "promoting citizenship values among clients" and "social justice and equality among clients.
Coordinación de Principios de Teorías de la Educación Matemática para el logro del Razonamiento Cuantitativo
Authors: Morales-Martínez Zenón , Gonzales Salvador Gamaniel Domingo , Vilcapoma Lara Narcio Felimon
Published: January 2025

The research aims to determine if there is a significant relationship between the coordination of the principles of the Theory of Realistic Mathematics Education, EMR and the Theory of Semiotic Representation Records, TRRS, and the achievement of the Quantitative Reasoning dimensions. The research corresponds to a correlational study and has a non-experimental design. The study participants are teachers who participate in a master's degree at a public university. A structured interview with a qualitative approach was applied to them to collect information on their knowledge about EMR and TRRS, in addition a questionnaire was applied to them that is analyzed with a quantitative approach to determine the verification of the research hypotheses. We investigate how the principles of each theory of Mathematics Education allow to achieve realistic and semiotic learning, which allow students to attribute a realistic meaning to their learning and that abstract concepts acquire reality through a semiotic representation that allows them to carry out the mathematical activity. . In a qualitative way, it is concluded that the participants manage to integrate the Iceberg Metaphor and apply the didactic phenomenology of the EMR in their educational practice; thus, they also integrate the semiotic and transformation registers such as the treatment and conversion of the TRRS to its mathematical activity; and quantitatively, it is verified through the Chi-square test that there is a significant relationship between the study variables for a confidence level of 95%.
Las competencias en la educación peruana: ¿por qué y para qué?
Authors: Quiroz Quiroz Jorge Enrique , Quiroz Rivasplata Octavio Rafael , Ñato Noé Mery Milsen , Quiroz Ñato Jorge Alfredo
Published: January 2025

The objective of this study is to determine the reasons why we use competencies in basic education in our country. We carefully analyze the National Curriculum for Basic Education prepared by the Ministry of Education (2016) (Minedu) in the period 2012-2016. To answer the question in the title of the article, we use 12 questions that have to do with the meaning of the category’s curriculum, competence, ability, learning standard, ability, attitude, performance, as well as the approach to learning, teaching and the evaluation. We use the text by Zabala & Arnau (2007) How to learn and teach skills? 11 key ideas as a reference, in order to contrast the Peruvian proposal. Regarding the analysis, the coherence and consistency of the use of the mentioned categories is described and determined. We also identify the presence and absence of arguments in the document. The type of research is phenomenological, since it seeks to describe and analyze the meaning of the categories used.