bluuebunny/crossref_metadata_2025 huggingface dataset:
Attitude of Health Care Personnel Towards Persons with Disability in A Tertiary Level Health Care in Bangalore - A Cross Sectional Study
Authors:   Associate Professor at St. Johns National Academy of Health and Sciences, MBBS, MD, Address Department of Community Medicine, first floor, St. Johns Medical College, Bangalore, Karnataka, India, Shanbhag Deepthi
Published: October 2024

Associate Professor at St. Johns National Academy of Health and Sciences, MBBS, MD, Address Department of Community Medicine, first floor, St. Johns Medical College, Bangalore, Karnataka, India
Modern Molecular Diagnostic of Prostate Cancer in Young Men
Authors:   St. Petersburg State Pediatric Medical University, Ministry of Health of the Russian Federation, Russia, Yu Startsev V
Published: October 2024

Prostate cancer (PCa) is a public health problem. Among malignant neoplasms, it is the second most common (in 105 out of 185 countries of the world) and the main cause of death from cancer in men from 46 countries. In some cases, pathology is verified in men under 50 years of age, including at the stage of the metastatic process. Common methods of diagnosis of prostate cancer, including assessment of the PSA level, are not always accurate, and the algorithm for their use has not been finalized.
Surgical Management of a Thalamic Arteriovenous Malformation in a Young Male in a Low Resource Setting: An Illustrative Case Report
Authors:   Mbarara University of Science and Technology, School of Medicine, Neurosurgery Division, Mbarara, Uganda, Joseph Mary Ssembatya
Published: October 2024

Introduction: The natural history of patients with arteriovenous malformations (AVMs) suggests that 10-17% die due to hemorrhage and 40-50% experience serious physical deterioration of their working capacity in their 20-40-year period after presentation and treatment. Deep basal ganglia and thalamus lesions account for 3-12% of all AVMs and some literature suggests that these lesions have a more hostile clinical course. Case Presentation: 16-year-old male, a student with no known chronic illnesses came to our hospital as a referral from Lubaga hospital. He presented with fifteen days’ history of sudden onset of severe headache with no known relieving or exacerbating factors. This was associated with episodes of vomiting, altered mentation, right sided weakness, however there was no history of convulsions, blurring of vision or trauma. This was the first time for this kind of presentation. On admission: He was lethargic, moderately dehydrated, not pale nor jaundiced. BP was 109/52mmHg, HR of 60bpm, SPO2=96% on room air. Glasgow Coma Scale score of 14/15, V=4, PEAL, soft neck, normal muscle bulky with a power of 2/5 on the left side and 4/5 on the right side. Successful surgical resection of the AVM was done at Mbarara regional referral Hospital-Uganda. Currently the patient is back in the community and has returned to school. Conclusion: Children who present with intracranial hemorrhage from a previously undiagnosed AVM have a 12% chance of sudden death. Clinical triggers of hemorrhage are unpredictable, and all fatal cases were in locations with high risk of potential herniation. These data support a proactive, aggressive approach toward definitive treatment of AVMs in children and adults. Patients with diagnosed AVM can once again get a chance to survive like other children in the community in LMICs like Uganda by undergoing open surgery, although advanced opportunities are still limited.
A Nursing Experience of Caring a Patient with Coronavirus Disease
Authors:   Department of Nursing, Institute of Long Term Care, Chung Shan Medical University, Taiwan, Chen Pei-Jung
Published: October 2024

This article uses Watson's caring theory to care for a female patient diagnosed with COVID-19 and faced compulsory hospitalization and isolation. The care period is from May 23 to May 30, 2021. The care process is guided by Watson's caring theory, and data is collected through assessment, observation, interview, and other techniques. The identified health problems include inefficient breathing patterns, anxiety, and social isolation care issues.
Ejection of Real-Time Malicious Intrusion and Attacks in IoT Empowered Infrastructure
Authors: S K Shameena Begum  , Pulikonda Venkata Yoga Abhishek  , Kadavakollu Lakshmi Chaitanya  , Mandalapu Gopichand
Published: October 2024

The project recognizes the pervasive threat of computer viruses, malware, and hostile attacks on computer networks, highlighting the critical role of intrusion detection as a proactive defense technology. The project introduces a novel approach based on deep learning to identify and mitigate cybersecurity vulnerabilities and breaches in IoT-driven cyber-physical systems, aiming for enhanced security measures. The project's objective is to elevate intrusion detection beyond the limitations of traditional systems by addressing issues like accuracy, detection effectiveness, and reducing false positives. This emphasizes the advancement and innovation in cybersecurity. To achieve the project's goals, the method employs a generative adversarial network, a cutting-edge deep learning technique. Additionally, it distinguishes itself by contrasting unsupervised and deep learning-based discriminative approaches, showcasing a comprehensive and effective approach to cybersecurity. In our project, we successfully implemented an ensemble method to boost predictive accuracy by integrating multiple individual models. Particularly noteworthy is the inclusion of a hybrid architecture, combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM), denoted as CNN+LSTM. This hybrid model achieved an impressive accuracy of 99% when applied to the KDD-Cup dataset, underscoring the efficacy of our ensemble technique for intrusion detection in IoT- based cybersecurity infrastructures.
Advanced Personal Budget Analytics: Combining Optical Character Recognition and Natural Language Processing for Automated Budget Categorization and Insight Extraction
Authors: S. Harsshita  , A. Shruthi  , B. Kanaka Srinidhi  , Dr. A. Sandhya
Published: October 2024

A budget tracking system is a tool designed to help users monitor their financial resources, categorize expenses and control their financial resources. An Intelligent Personal Budget Analysis System is designed to redefine personal finance management. IntelliFinance is a user- friendly app designed for seamless and efficient daily expense management removing the necessity for conventional paper documentation. This project inculcates the concepts of Computer Vision, Machine Learning and Data Analytics, aims to surpass traditional budget tracking by incorporating innovative features such as receipt scanning and analysis. The project is implemented using Android Studio and Firebase, incorporating advanced features such as Optical Character Recognition (OCR) to capture receipt images, extract text, and process it for further analysis. Firebase ML Kit is utilized for scanning and text recognition, while Natural Language Processing (NLP) is applied for categorizing the extracted text. The system provides a personal budget analysis that enhances the accuracy of financial tracking by offering users a comprehensive overview of their spending habits, complemented by detailed reports and visualizations. Ultimately, this project serves as a financial companion, empowering users to take control of their finances, make informed decisions, and achieve their financial goals.
Nurturing the Faculty: Training for Excellence and Growth
Authors: Ms.Portia  , Dr. Rainu Gupta
Published: October 2024

"The impact of teacher education and wellbeing on higher education: a critical analysis" is one of the primary topics of the research. The well-being and ongoing education of faculty and staff are crucial for the advancement of higher education and significantly contribute to the achievements of both faculty and students. In this paper, we have explored the significance of providing training opportunities and prioritizing the wellbeing of faculty members.The significance of teacher training in higher education is paramount as it guarantees that educators are well-informed about contemporary teaching techniques, technological advancements, and the latest research findings. In a constantly evolving educational landscape, ongoing professional development is crucial to guarantee that teachers can offer the highest quality education to their students. Exciting challenges among educators in higher education frequently encounter stress and pressure as a result of demanding workloads, intense research, various responsibilities, and job searches. Failing to prioritize health can result in reduced job satisfaction, psychological issues, and the loss of teaching and research opportunities.It is crucial to find a balance between faculty and health in order to ensure the success of higher education institutions. It's not sufficient to solely concentrate on one aspect. Failing to prioritize education can result in a chaotic teaching environment, while neglecting health can lead to teacher exhaustion. Training and wellbeing are closely linked, as training equips educators with the necessary knowledge and skills to effectively teach and conduct research, while wellbeing ensures they can maintain their efforts in the long run. "Faculty training and wellbeing in higher education: a crucial balancing act" is a subject that requires the attention of higher education institutions, policy-makers, and educators themselves. Striking the right balance between training and wellbeing can result in a more productive, innovative, and compassionate higher education system that benefits both faculty members and students. It's a challenge worth tackling for the improvement of academia.
Critiquing the Presence of Outsiders, Women of Questionable Pasts in Jesus’ Genealogy: Lessons for Contemporary Christianity
Authors: Gbadamosi Oluwatoyin Adebola
Published: October 2024

The book of Mathew has an unusual beginning and a casual reading shows a monotonous account of people “begoting” another and this itself, is somewhat boring and repetitive. Asides this repetitiveness, a striking feature of this account is the mention of four women and a fifth, Tamar, Rahab, Ruth, Bathsheba and Mary. Extant literature on the genealogy of Jesus in Matthew have largely focused on it from the perspective of his role as the messiah, his ancestry and lineage, and in comparison with the Lukan genealogy, with scant attention paid to the presence of women, especially from a critical point of view. This study, therefore critiqued the unusual mention of women in a chronicle of men given the patriarchal setting of the history. The aim of this research was to answer the following research questions: who are these women and why were they mentioned in an historical account that was predominantly masculine? What purpose did they serve in the Mathean genealogy? These questions were answered critically with the view of drawing lessons for contemporary Christians, especially as they concern women. The study used philosophical methods of contextualism and the verification principle. The study revealed that the inclusion of Tamar, Rahab, Ruth, Bathsheba and Mary in the genealogy of Christ was not accidental but purposeful, especially in a history that looked down on women. More so, many lessons could be drawn from the lives of these women by contemporary women, Christians generally and the society at large and the major one is that no one should be written off.
How Do Households Form Inflation and Wage Expectations?
Authors:   Reserve Bank of Australia, Brassil Anthony , Haidari Yahdullah ,   Reserve Bank of Australia, Hambur Jonathan ,   Reserve Bank of Australia, Nolan Gulnara ,   Reserve Bank of Australia, Ryan Callum ,   Reserve Bank of Australia
Published: October 2024

This paper explores the formation of households' wage and inflation expectations using a common dataset and framework, documenting a number of stylised facts. We find that households tend to form wage and inflation expectations somewhat differently. Households associate higher wages growth with good economic outcomes, but higher inflation with worse economic outcomes. Wages expectations also tend to be somewhat more forward looking, while inflation expectations are more backward looking, especially for lower income households, and place a disproportionate weight on past fuel prices. These findings paint a picture of households having a somewhat 'supply-side' view of inflation, where shocks that push up inflation also weaken the economy, but a more 'demand-side' view of wages, where shocks that push up wages also strengthen the economy, which may make communication of monetary policy and the outlook more challenging.
CORPORATE GOVERNANCE ETHICS AND SUSTAINABILITY
Authors:   RAMAKRISHNA MISSION VIVEKANANDA COLLEGE (AUTONOMOUS), MYLAPORE, CHENNAI - 600 004, BALAGURU Dr. R.
Published: October 2024

This textbook, Corporate Governance, Ethics, and Sustainability, provides a comprehensive exploration of the essential principles and practices that underpin modern business operations. The book covers the critical areas of corporate governance, board management, business ethics, and sustainability, with a specific focus on the Indian context. It delves into the evolution of corporate governance, the roles and responsibilities of directors, the importance of ethical frameworks, and the integration of sustainability into corporate strategy. Through detailed explanations, real-world examples, and practical insights, this book equips students and professionals with the knowledge needed to navigate the complexities of today’s business environment. The content is structured to foster a deep understanding of the interrelationships between governance, ethics, and sustainability, and to inspire the implementation of these principles in the corporate world. Keywords: Corporate Governance, Board Management, Business Ethics, Sustainability, Indian Context, Corporate Social Responsibility, Triple Bottom Line, Sustainable Development, Legislative Provisions, Corporate Strategy
The Scenario of Intimate Partner Violence (IPV) & Increased Women’s Empowerment in Bangladesh
Authors: Rahman Ahnaf Ashiqur , Hosen Imran
Published: October 2024

Intimate Partner Violence (IPV) remains a significant issue in Bangladesh, despite the recent strides in women’s empowerment. This study investigates whether the empowerment of women plays a role in reducing IPV, while also examining the influence of a patriarchal social structure on this dynamic. Utilizing qualitative research methods, this analysis draws primarily on secondary data sources, including journal articles, prior studies, news reports, and editorials. Process tracing, a storytelling-based analytical tool, is employed to explore the patterns and relationships involved. The findings suggest that while women's empowerment serves as a mitigating factor in reducing IPV, the entrenched patriarchal nature of male dominance initially triggers resistance to both empowerment and IPV reduction efforts. Nonetheless, the study argues that this resistance can be overcome through concerted efforts, involving government and NGO initiatives that focus on effective law enforcement, supportive policies, and the creation of a safe and respectful environment for women. These collaborative approaches offer promising pathways for addressing IPV in Bangladesh.
Wound Healing Activity of Hydroalcoholic Extracts of Lycopersicon Esculentum Seeds and Ficus Racemosa on Wistar Rats
Authors: Kanungo Jayant , Sharma Jaya , Patel Anant Kumar
Published: October 2024

In the Present study Investigation on the preliminary phytochemicals screening of ethanolic extract showed the presence of Resin, Protin, Quinones, Anthraquinon, Carbohydrates, Alkaloids, Glycoside, Steroids, and Phenols. By ethanol extract using standardized procedure and also subjected to wound healing activity exhibited significant wound healing activity with respect to control biological effects of its extracts ointment, mainly the ones related to wound process. The present data clearly showed that the extract of dried Seeds of Lycoperscon esculentum seeds and Ficus racemosa has wound healing activity the highly significant response of some extracts .The result obtained from the excision wound model, Effect of EECG on Percentage Wound Contraction and Epithelialization Period. During the course of treatment the extract was found to show its preliminary effect from day 4 up to day 16.
The Role of Gamification in Enhancing Engagement and Motivation in Language Learning
Authors: Adzmi Nor Aslah , Bidin Samsiah , Selvaraj Bawani , Saad Sharina
Published: October 2024

In the evolving landscape of language education, gamification has emerged as a transformative tool, addressing challenges in engagement and motivation through the integration of game-design elements into learning environments. This paper explores the role of gamification in enhancing language learning, particularly within the Malaysian context. It examines recent research demonstrating that well-designed gamified tools can significantly improve learner engagement and motivation, supporting better language acquisition outcomes. Key studies highlight that gamification, through elements such as rewards, challenges, and interactive tasks, creates an enjoyable and immersive learning experience, thereby overcoming traditional barriers like anxiety and lack of confidence. Gamified platforms offer continuous feedback and reward systems that foster intrinsic motivation and encourage consistent learner participation. The paper also discusses the effectiveness of gamification in various educational settings, noting that culturally relevant game elements can enhance engagement and learning outcomes. Despite the promising findings, gaps remain, particularly in understanding the long-term impact of gamification on specific language skills and the role of cultural diversity in shaping its effectiveness. Recommendations include evaluating the long-term effects of gamification on language proficiency, investigating its influence on specific language skills across diverse contexts, and exploring the impact of cultural and linguistic diversity on gamified learning tools. By addressing these areas, the paper aims to provide deeper insights into the potential and limitations of gamification in language education, offering practical recommendations for educators and policymakers to enhance the effectiveness and inclusivity of language learning strategies.
Reddit’s American Political Left-Wing Bias: A Study of the Top 100 Posts from September 12-21, 2024
Authors: Ramakko Brandon
Published: October 2024

Objective – Reddit is an online forum where users vote for posts and comments and the most supported content rises to the top. The objective is to investigate the American political leanings of the top 100 posts over 10 days. Methods – The state of Reddit is in constant flux. Rather than a precise snapshot in time, one individual, reading each post and the first 3 pages of comments, subjectively determined if the post was supportive or against a political party, a political figure, or the party’s supporters. For comparison, LGBT and animal/insect posts were also recorded. The top 25 posts and top 100 posts were calculated separately. The study was carried out 8am to 10am (UTC/GMT +7 hours) September 12-21, 2024. Results – Based on the top 100 posts over the 10 days (1000 posts total), 224 posts were Pro-Left/Anti-Right and 2 posts were Pro-Right/Anti-Left (99.1% left leaning). Most political posts were negative (85.4%). The density of political posts was higher within the top 25 posts (p<0.0001). For comparison, there were 64 posts about animals/insects and 22 posts were Pro-LGBT (9 Pro-Trans/Non-Binary) with no Anti-LBGT posts. Conclusion – There is a strong Pro-Left/Anti-Right bias to the top 100 posts of Reddit with 112x more posts (99.1%) favoring the American Left Wing compared to the Right. The consistent appearance of supportive LBGT posts within top 100 posts suggest the majority of the Reddit community is supportive of the LBGT community. This study may be considered as a preliminary or a pilot study due to the limited timeframe (10 days) and the high risk of bias (one post reviewer).
The Balance Between Gatekeeper Rules and Free Speech in the EU under the Digital Markets Act and Digital Services Act
Authors: Ness Stephanie
Published: October 2024

Purpose: This article investigates the intricate balance between free speech and content restrictions within the frameworks of the EU Digital Services Act (DSA) and the Digital Markets Act (DMA). It delves into the duties of 'gatekeepers' under the DMA, the challenges of content moderation, and the delicate equilibrium between fostering open communication and curbing harmful material. The primary aim is to contribute to the ongoing debate on digital platform regulation, particularly focusing on the gatekeeper designation under the DMA and its potential to enhance freedom of speech while mitigating excessive compliance and censorship.
Methodology: The study employs a mixed-methods approach to provide a comprehensive analysis of the regulatory landscape and its implications. It includes a literature review of academic journals, legal documents, and policy papers; in-depth document analysis of the DMA and DSA; case studies of landmark decisions such as GS Media and Delfi AS v. Estonia; interviews with key stakeholders; a survey of platform users; comparative analysis with other jurisdictions; policy impact assessment; and content analysis of platform policies. The research adheres to ethical guidelines, ensuring informed consent and data protection.
Findings: The findings reveal that the DMA's gatekeeper rules have the potential to significantly enhance freedom of speech by curbing platform dominance, promoting content diversity, and encouraging transparent content moderation. However, the risk of over-compliance leading to the suppression of free speech is also identified. The study highlights the importance of independent oversight, clear platform guidelines, and continuous dialogue among stakeholders to maintain a balance between open markets and free speech.
Unique Contribution to Theory, Policy and Practice: This article offers a novel perspective on how the DMA's gatekeeper designation improves freedom of speech while avoiding excessive censorship. It provides valuable insights for policymakers, digital platforms, and civil society organizations, emphasizing the need for a nuanced approach to content moderation that respects users' rights. The article also underscores the importance of ongoing review and adaptation of regulations to address the evolving digital landscape, thereby contributing to the development of a safer, more competitive, and fairer online environment.
Terahertz Sensing with Extraordinary Optical Transmission Hole Arrays
Authors: Sinha Bhawna
Published: October 2024

Purpose: The purpose of this paper is to substantiate the enhanced performance of hyperbolic anisotropic (HA) meta-surfaces at anomalous extraordinary optical transmission (EOT) resonances. These resonances exhibit distinct transmission peaks highly sensitive to environmental changes, making them particularly valuable for sensing applications. By demonstrating improved transmission efficiency and sensitivity, this study aims to contribute to developing advanced sensing technologies that leverage the unique properties of HA meta-surfaces in detecting minute variations in their surroundings.
Methodology: To verify the enhanced sensing performance of anomalous EOT resonances, this study employs a well-established experimental method involving depositing a thin analyte layer of varying thicknesses onto the meta-surface. The study aims to determine which resonance condition provides optimal sensitivity by comparing the performance between regular and anomalous EOT resonances. It explores the improved performance of HA meta-surfaces at anomalous EOT resonances, which occur under certain non-standard conditions, offering potentially superior sensing capabilities compared to regular EOT.
Findings: The results indicate that when the analyte is applied to the non-patterned side of the metasurface, the anomalous EOT resonance achieves superior sensing performance. This enhanced sensitivity can be attributed to the unique interaction dynamics between the incident THz waves and the meta-surface structure under abnormal conditions.
Unique Contribution to Theory, Policy and Practice: This phenomenon is beneficial in the terahertz (THz) range, making HA meta-surfaces ideal for thin-film label-free sensing applications. The EOT resonance occurs due to the interaction between incident light and the periodic structure of the holes, leading to enhanced light transmission at specific wavelengths. The findings highlight the potential of using anomalous EOT resonances in HA meta-surfaces to develop highly sensitive and efficient sensors for detecting changes in thin films, paving the way for advanced sensing technologies in various scientific and industrial applications.
Bibliometric approach to “applications of response surface methodology (RSM) publications” and its review as the most widely used optimization tool
Authors: Itam Daniel Hogan , Horsfall Ibiba Taiwo , Martin Ekwueme Chimeme , Abam Ibibia James
Published: October 2024

An increasing number of articles are published in the field of optimization research, and response surface methodology is an interesting optimization tool. As a result, the main goal of this work is to conduct a bibliometric analysis on the distribution of response surface methodology-related articles across the different domains of optimization research, as well as to track the evolution of their interest and identify the nations, publishers, and authors producing the greatest volume of scholarly works. For this investigation, the “LENS” database system was used since it covers a huge number of documents and simplifies the process of downloading and analyzing datasets. VOSviewer and the text mining program Orange Canvas were used to analyze the dataset. The survey indicates that the most prolific countries in this field of study are those in Europe. The most publications are found in iop conference series and materials, whereas the most citations are found in the journal of bioresource technology. Additionally, according to authors, the most used method for experimental optimization is response surface methodology, or RSM. Despite having several benefits over the traditional one parameter at a time strategy, RSM is not appropriate for every modeling and optimization study.
Evaluating patent technology transfer potential : A predictive model based on citation network analysis
Authors: Yi Xu , Jing Li , Shuying Li , Jing Xu , Xian Zhang
Published: October 2024

Purpose: The citing of patents is an indicator of the transfer of technical knowledge and the influence of one technology on subsequent developments. The objective of this paper is to construct a predictive model based on patent and paper citation network to evaluate the potential for technology transfer of patents Methodology: This paper employs a binary classification algorithm from machine learning, specifically the decision tree algorithm, as its methodology. This has facilitated the creation of a predictive index system comprising 16 structured indicators across three dimensions: the degree of technological innovation, the quality of patent document, and the extent of intellectual property rights (IPR) protection. In order to construct the training sample set, patent transfer data for graphene sensors were employed as proxy variables for technology transfer potential. Findings: The findings of the study indicate that the dynamic characteristics of the citation network are a significant factor in the assessment of the potential for technology transfer. The most significant indicator affecting the transformation value of patents is inward degree centrality. Moreover, the results demonstrate that additional evaluation indicators, namely outward proximity centrality, family size, and selfcitation frequency, are also of significance. The patent technology transfer potential prediction model presented in this paper, which is based on citation network indicators and a decision tree algorithm, exhibits a high degree of predictive accuracy. Value: The value of this research lies in its novel perspective and method for patent valuation and technology transfer strategies. Furthermore, it offers a more comprehensive reflection of the inheritance and flow of patented technology by integrating the citation relationships between patents and scholarly papers. This makes it a valuable contribution to the understanding and promotion of the technology transfer process.
AI Fusion Hub: Advances in AI-Powered Communication Platforms
Authors: B. Umamaheswari  , Priyanka Mitra  , Anju Rajput
Published: October 2024

The "AI Fusion Hub" introduces a new network based on MERN that integrates advanced AI projects. The platform leverages natural language processing and machine learning models to revolutionize user communication, productivity and creativity. The front-end design using React.js provides excellent power and functionality, making the user experience seamless. On the backend, Node.js and Express.js support powerful external processing, while MongoDB handles data storage and retrieval efficiently. The platform is deployed on the Vercel cloud, ensuring capacity and reliability. Key features include scripting, sentence generation, AI-powered chatbot interactions, text-to-JavaScript code conversion, and a sci-fi generator. These features provide users with many tools for effective communication and content creation. The project not only demonstrates the alignment between the evolution of web technology and intelligence-driven capabilities, but also demonstrates future developments including multimedia support, mobile optimization, integration and security measures. Bridging the gap between artificial intelligence and real network structure, the "AI Fusion Hub" represents a major advance in intelligent communications
Standardizing Identification of Cognitive Impairment in the Acute Hospital Setting: Toward a Common Language
Authors: Sim Erin , Casey Kelly , Lavezza Annette , Hoyer Erik , Moscirella Marybeth , Rosenbaum Nicole , Friedman Michael , Young Daniel L.
Published: October 2024

Importance: Although many hospitals universally screen their patients for functional mobility and activity impairment, there is no common method to do this for cognitive impairment. Establishing an interdisciplinary and standardized process to screen for cognitive impairment is essential for early identification of impairments, optimization of patients’ function, and safe discharge planning. Previously, the reliability and validity of the Activity Measure for Post-Acute Care Applied Cognitive Inpatient Short Form “6-Clicks” (AM-PAC ACISF) were measured among occupational therapy practitioners and speech-language pathologists; however, its reliability among other team members, specifically nurses, is unknown. This study reports the interprofessional interrater reliability of the AM-PAC ACISF in the acute care hospital setting.

Objective: To examine the nursing–therapist interrater reliability of the AM-PAC ACISF in the acute care hospital setting.

Design: A prospective study using a convenience sample.

Setting: Acute care hospital.

Participants: Fifty adult patients, six nurses, five occupational therapy practitioners, and one speech-language pathologist.

Outcomes and Measures: Interrater reliability for the AM-PAC ACISF among therapists and nurses.

Results: Interrater reliability was good among nurses and therapists, with an intraclass correlation coefficient of .88 (95% confidence interval [.79, .93]) for the AM-PAC ACISF.

Conclusions and Relevance: Findings suggest that the AM-PAC ACISF is reliable for use among interdisciplinary teams, helps to establish a common language for early identification of cognitive impairment, and can be used for guiding clinical discussions around patient cognition in the acute care setting.

Plain-Language Summary: Having an interdisciplinary and standardized process to screen patients early for cognitive impairment is essential for identifying impairments, optimizing patients’ function, and facilitating safe discharge planning in the acute care setting. Early identification of cognitive impairment by the interdisciplinary team can also allow for timely occupational therapy and other rehabilitation service interventions. The findings of this study suggest that the Activity Measure for Post-Acute Care Applied Cognitive Inpatient Short Form “6-Clicks” (AM-PAC ACISF) can reliably be used by interdisciplinary teams, establishes a common language for early identification of cognitive impairment, and can be used for guiding clinical discussions around patient cognition in the acute care setting.
Lipoprotein(a) and Other Risk Factors in Dyslipidemic Patients with and without Heart Failure.
Authors: Lewek Joanna , Sosnowska Bożena , Bielecka-Dabrowa Agata Magdalena , Mierczak Karina , Adach Weronika , Banach Maciej
Published: October 2024

Introduction

We aimed to assess the differences between patients with or without HF regarding lipid profile including Lp(a) as well as comorbidities and pharmacotherapy.

Material and methods

We included 510 consecutive patients from the PMMHRI-Lp(a) Registry.

Results

HF was diagnosed in 59 patients (11.57%). Higher Lp(a) levels were observed in HF group, but it was not statistically significant. The multivariable analysis revealed four significant HF, including higher category of Lp(a) (OR 2.00, 95%CI:1.19-3.35, p=0.009).

Conclusions

Lp(a) may play a more significant role than other lipid parameters in HF patients, warranting further investigation and emphasizing the need to measure Lp(a) in these patients.
BAT überholt Team Agrar
Authors: König Inge
Published: October 2024

Allensbach. Rückläufige Umsätze, steigende Mitarbeiterzahlen: Diese Tendenzen bildet das Ranking der Top-50-Agrarlieferanten ab, das die agrarzeitung zum zweiten Mal erhoben hat. In der Tabellenführung überrascht auf Platz 3 ein Wechsel.
Hoffnungsträger Struvit
Authors: Schaal René
Published: October 2024

Frankfurt a.M. Phosphor ist ein wichtiger Pflanzennährstoff und somit unverzichtbar für die Nahrungsmittelproduktion. Die derzeitigen Phosphorquellen sind jedoch endlich. Im Projekt „P-Net“ bewertet das Julius-Kühn-Institut (JKI) die Wirksamkeit des P-Recyclingdüngers Struvit.
Humus aufbauen und erhalten
Authors: Schaal René
Published: October 2024

Frankfurt a.M. Das seit 2022 laufende Modell- und Demonstrationsvorhaben „HumusKlimaNetz“ zum Humusaufbau in Ackerböden ist von der Planung in die Umsetzung gegangen. 150 Landwirtinnen und Landwirte, die daran beteiligt sind, setzen aktuell im Rahmen des Projekts auf mehr als 3600 ha Maßnahmen zum Humusaufbau und -erhalt um. Durchschnittlich werden pro Betrieb zwei humusmehrende Maßnahmen pro eingebrachter Fläche umgesetzt.
Grunddüngung schon im Herbst ausbringen?
Authors: Neumeier Dominik
Published: October 2024

Aschersleben. Die Phosphor- und Kaliumvorräte im Boden sind in den letzten Jahren stark abgesackt, weil zu stark an der Grunddüngung gespart wurde. Durch eine clevere Terminierung und Platzierung des Düngers können die eingesetzten Düngemittel effektiv verwertet werden.
Erholung als Erfolgsfaktor
Authors: Brust Martin
Published: October 2024

Gersfeld/Rhön. Viele Berufe im Agrarbusiness bringen Stress und Belastungen mit sich. Das ist oft unvermeidlich und nicht immer beeinflussbar. Aber wir können durchaus beeinflussen, wie wir damit umgehen – als Beschäftigte ebenso wie als Inhaber oder Führungskraft eines Unternehmens.
Milchmarkt weiter im Aufwind
Authors: Lenz Frank
Published: October 2024

Göttingen. Die Preise für Butter ziehen weiter an. Erste Molkereien zahlen 50 Cent an die Erzeuger.
Hopfenanbau schaut auf Spanien
Authors: Müller Stefanie Claudia
Published: October 2024

Madrid. Bunte Lichter hängen auf mehreren Schienen von der acht Meter hohen Decke herunter, zwischen ordentlich angeordneten Pflanzenreihen, die von unten mit Nährlösung versorgt werden.
Transformer-Based Regression Models for Assessing Reading Passage Complexity: A Deep Learning Approach in Natural Language Processing
Authors: Sidhu Harmanpreet , Abdel-Dayem Amr
Published: October 2024

Natural Language Processing (NLP) is a vital area in deep learning, widely applied in tasks like text classification, virtual assistants, speech recognition, and autocorrect features in digital devices. It allows machines to understand and generate human language, enhancing user interactions with software. This paper presents a deep learning model using the Transformer architecture for a regression task to predict the complexity of reading passages based on text excerpts. By leveraging the Transformer’s capability to identify complex patterns in text, the model achieves a relative error rate of about 10%. The paper also examines how different architectural choices influence model performance, focusing on one-hot encoding and embeddings. While one-hot encoding provides a simple text representation, embeddings offer a richer, more nuanced understanding of word relationships. The findings highlight the significance of model design and data representation in optimizing NLP tasks, providing insights for future advancements in the field.
A Multifaceted AI-Driven Radio Network
Authors: Sturm George
Published: October 2024

This paper discusses a unique and revolutionary type of radio network which is driven by various AI techniques. Besides the traditional features of any FM radio network, Radio Logos has incorporated into its system a variety of automated features like weather forecasts, earthquake announcements, monetary exchange rates, listener song requester capability, and the monitoring of equipment. In addition, an advanced real-time defect monitoring system for RF signals has been developed and implemented to monitor the network 24/7. These methodologies are based upon AI techniques ranging from the simple to the advanced.
Quantum Computing and the Implications on Online Security
Authors: Gadde Nishant , Mohapatra Avaneesh , Vijay Navnit , Manukonda Siddhardh , Shashikanth Daiwik
Published: October 2024

Over the past year, quantum computing has seen many advancements due to contributions from UC Berkeley in collaboration with IBM’s laboratories. Although these breakthroughs seem promising, they introduce new security concerns regarding the potential for quantum attacks to become a major threat in future data breaches. This research investigates the efficiency of many quantum cryptographic techniques. These algorithms include Quantum Key Distribution (QKD), Lattice-Based Cryptography, and Multivariate Cryptography. Utilizing IBM’s Qiskit Python extensions, we were able to test these methods against quantum attack algorithms, including Shor's Algorithm, Grover's Algorithm, and the BB84 protocol. Our results indicate that, although current cryptographic methods provide some level of defense against quantum attacks, there needs to be advancements to protect our digital infrastructure for the future. This study puts emphasis on the need for more development in cryptographic algorithms to ensure proper security in the era of quantum computing.
Implementation of Computational Tools in the Teaching-learning Process of Materials Strength
Authors: Christian Martínez , Fernanda Oñate , Johanna Iza , Ana Ramíre , César Pinto
Published: October 2024

With the development of this work, we seek to highlight the importance of implementing technological tools in the study of the subject of material resistance, in order to accompany the teaching-learning process. Bringing computational tools on par with traditional learning in the classroom by applying a series of innovative alternatives and work practices, outside the classroom and that meet your expectations of progress in teaching-learning in fields related to the resistance of materials , who are under their responsibility aligned with the objective of advancing in the career with practical knowledge. This research topic was chosen due to the students' deficient knowledge in this area due to reasons such as late academic reintegration, work-related issues, among others. In addition to the little use of teaching material by the student, thus harming their comprehensive development. In this work, it is intended to contribute to the analysis of structures using design software and structural analysis. Interactive videos will be generated with their resolution, simulations of practices as well as innovative interactive content, which collaborate for the development of the academic and intellectual potential of the students who take the subject of resistance of materials.
Designing and Applying Educational Scenarios using Synth4kids Musical Educational Software in Preschool Education
Authors: Charalambidou Christina , Mygdanis Yannis
Published: October 2024

The rapid technological advancement of recent years has transformed how people interact with music. In a world where digital transformation is accelerating, the role of technology in music education has become increasingly crucial. In particular, digital platforms and tools are reshaping the way music is taught, especially for younger generations. Children in the digital age are exposed to various musical experiences and preferences. This has led to the development of digital learning environments and software for preschool children, creating a fundamentally new educational framework. However, music pedagogy often relies on traditional teaching models that do not incorporate digital technologies. This article discusses findings from an educational intervention using the Synth4kids software in early childhood music education. Synth4kids offers new avenues for educators to incorporate technology into early childhood education, encouraging creativity, collaboration, and engagement. The study highlights how combining technology and music pedagogy can enrich the learning experience for young children. The results highlight a new techno-centric learning environment where children engage actively and enthusiastically in authentic music teaching and learning situations, transforming their experiences and developing new musical and technological skills. Additionally, the study shows the importance of designing child-friendly software that balances educational goals with playful engagement.
A Framework for Deploying IPV6 at Higher Education Institutions
Authors: A. Abdullah Shubair
Published: October 2024

Despite the fact that IPv6 was developed 30 years ago, its deployment within higher education institutions worldwide is still slow. While many have started transitioning from IPv4 to IPv6, a large number of them have deferred the transition due to the time needed to complete the transition, budget implications, and security issues. The main problem is how to deploy IPv6 without disrupting the teaching activities of academic departments. This paper introduces a phased framework for deploying IPv6 at the university campus networks of higher education institutions. The framework consists of three phases: preparation and assessment, perimeter network, and internal network. In addition to an independent phase to manage the security issues, a Venn diagram has been created to compare the proposed framework with a state-of-art framework. The results show that the proposed framework retains high value as a comprehensive IPv6 deployment framework at higher education institutions.
Exosomes as Mediators of Cancer Metastasis: Unraveling the ‘Seed and Soil’ Hypothesis
Authors: Wilfred Quentin Wolasse Manfouo
Published: October 2024

Metastasis, the spread of cancer from a primary site to distant organs, remains the leading cause of cancer-related mortality. The ‘Seed and Soil’ hypothesis, proposed by Stephen Paget in 1889, suggests that metastasis depends not only on the properties of cancer cells (the “seeds”) but also on the receptive environment of distant tissues (the “soil”). Emerging evidence highlights the pivotal role of exosomes, small extracellular vesicles secreted by tumor cells, in preparing pre-metastatic niches and facilitating metastatic spread. This review explores the mechanistic role of exosomes in cancer metastasis, focusing on their influence on the tumor microenvironment, immune evasion, and organotropic metastasis. We discuss how exosomes contribute to the dynamic interplay between tumor cells and distant tissues, offering new insights into the ‘Seed and Soil’ hypothesis. Additionally, the potential of exosome-targeted therapies as a novel approach to prevent or treat metastatic cancer is examined.
Exploration of the Reform of Stratified Teaching Mode of Higher Mathematics in Higher Vocational Colleges
Authors: Yongjuan Zhao , S.malang Ma.Esperanza
Published: October 2024

This study examines higher mathematics education within vocational colleges. Through a comprehensive review of literature, rand the recent developments in differentiated instruction and mobile technology integration, the study underscores the challenges and opportunities facing teachers in developing effective learning among students. The findings reveal that cooperative education frameworks significantly enhance students’ employability by aligning academic learning with practical experiences. Further, the application of instructional strategies shows that it improves mathematics learning outcomes. It also addresses the diverse needs of students in mixed-ability classrooms. This study shows the importance of innovative pedagogical approaches in higher education and provides recommendations for further research in the field of vocational education.
Desafios das políticas educacionais no contexto pós-pandêmico
Authors: Silva Nadja Fonseca da
Published: October 2024

O objetivo deste estudo é analisar os desafios das políticas educacionais no contexto pós-pandêmico. O problema de pesquisa parte da seguinte questão norteadora: Quais desafios das políticas educacionais emergiram no contexto pós-pandêmico? A abordagem da pesquisa se configura como qualitativa, do tipo exploratório, desenvolvida a partir do levantamento bibliográfico com coleta de dados em artigos científicos e sites de dados, como Censo da Educação básica e Censo da Educação Superior, bem como blog e revistas online. A técnica de análise dos dados se deu pela análise temática. Os resultados demonstram a queda dos indicadores de educação no Brasil no contexto pós-pandêmico. Considera-se que os desafios das políticas educacionais são: valorização profissional dos professores, infraestrutura, investimento na formação continuada de professores, elaboração de políticas públicas articuladas de modo a garantir os direitos sociais/educacionais a todos.
Influence of the teachings and practices of Full Gospel Churches of Kenya on environmental conservation: A case of Embu Evurore District, Kenya
Authors: Rubiri Esther , Kagema Dickson Nkonge , Njeru Moses Kathuri
Published: October 2024

This study sought to evaluate the ways in which the church worshipers practice the teachings on environmental conservation in the Full Gospel Churches in Embu Evurore District, Kenya. Despite the Full Gospel Church's teachings on environmental conservation, there is prevalent environmental degradation in Embu Evurore District, Kenya. This study was guided by behaviour change theory, which states that an individual is a victim of their environment. Descriptive formats were used to collect information, analyse, compare and interpret data. The study targeted the five local churches in Embu Evurore District. A Sample population was obtained through a random sampling technique. The findings of the study led to the conclusion that worshipers' awareness of the practices of environmental conservation influenced how they practised environmental conservation. The study also found out that there were worshippers who were unaware of the conservation measures. The findings of the study contribute to religious knowledge in Eco-Theology. The findings of this study are beneficial to church leaders as they add insight to policy formulation and decision-making on environmental conservation. The findings of this study will sensitise the worshippers to proper practices in environmental conservation.