bluuebunny/crossref_metadata_2025 huggingface dataset:
Developing Clinical Judgment During Transition to Practice With Rapid-Cycle Deliberate Practice Simulation
Authors: Ingalsbe Laura , McGraw Rachael , Kozub Elizabeth , Ziefle Katrice
Published: September 2024

Background

New-to-practice nurses (NPNs) make more errors than their experienced peers, affecting patient safety and contributing to sentinel events. Additionally, new nurses have a high attrition rate in their first year of practice. Simulation-based education may bridge the gap between education and practice by supporting the development of clinical judgment of NPNs.

Method

With quality improvement methods, an intradisciplinary team implemented a quality improvement project to improve NPNs' clinical judgment skills. A multipatient simulation that used rapid-cycle deliberate practice gave NPNs an opportunity to refine clinical decision-making and communication skills.

Results

In total, 24 NPNs participated in the pilot simulation. Pre- and postsurvey scores using the simulation effectiveness tool-modified showed self-reported improvement in clinical judgment and communication skills, among other competencies.

Conclusion

Rapid-cycle deliberate practice simulation may support the development of essential nursing competencies, along with increased confidence and enhanced psychological safety among NPNs.

[
J Contin Educ Nurs.
2024;55(11):549–555.]
Global solution for wave equation involving the fractional Laplacian with logarithmic nonlinearity
Authors: Younes Bidi , Beniani Abderrahmane , Zennir Khaled , Hajjej Zayd , Zhang Hongwei
Published: September 2024

We construct the global existence for a wave equation involving the fractional Laplacian with a logarithmic nonlinear source by using the Galerkin approximations. The corresponding results for equations with classical Laplacian are considered as particular cases of our assertions.
Inference of a Susceptible–Infectious stochastic model
Authors: Albano Giuseppina , Giorno Virginia , Torres-Ruiz Francisco
Published: September 2024

We considered a time-inhomogeneous diffusion process able to describe the dynamics of infected people in a susceptible-infectious (SI) epidemic model in which the transmission intensity function was time-dependent. Such a model was well suited to describe some classes of micro-parasitic infections in which individuals never acquired lasting immunity and over the course of the epidemic everyone eventually became infected. The stochastic process related to the deterministic model was transformable into a nonhomogeneous Wiener process so the probability distribution could be obtained. Here we focused on the inference for such a process, by providing an estimation procedure for the involved parameters. We pointed out that the time dependence in the infinitesimal moments of the diffusion process made classical inference methods inapplicable. The proposed procedure were based on the generalized method of moments in order to find a suitable estimate for the infinitesimal drift and variance of the transformed process. Several simulation studies are conduced to test the procedure, these include the time homogeneous case, for which a comparison with the results obtained by applying the maximum likelihood estimation was made, and cases in which the intensity function were time dependent with particular attention to periodic cases. Finally, we applied the estimation procedure to a real dataset.
Stationary solutions to a hybrid viscous hydrodynamic model with classical boundaries
Authors: Di Michele Federica , Rubino Bruno , Sampalmieri Rosella , Stiepanova Kateryna
Published: September 2024

In this paper we present a quantum-classical hybrid model based on the hydrodynamic equations in steady state form. The approach presented here, which has already been proposed in previous works, consists in considering an intrinsically hybrid version of the Bohm potential, which acts only in the region of the domain where quantum effects play an important role, while it disappears where the quantum contribution is essentially negligible and the operation of the device can be well described by using a classical model. Compared to previous results from the same line of research, here we assume that the device at the boundaries of the domain behaves classically, while quantum effects are localised in the central part of it. This is the case of greatest scientific interest, since, in real devices, quantum effects are generally localized in a small area within the device itself. The well posedness of the problem is ensured by adding a viscous term necessary for the convergence of the hybrid limit to an appropriate weak solution. Some numerical tests are also performed for different values of the viscous coefficient, in order to evaluate the effects of the viscosity, especially on the boundaries of the device.
I Came Out to My Father Through My Positionality Chapter: Reflections on Ethics and Risk
Authors: A. A.
Published: September 2024

What are the different risks queer scholars of color face in the field, and how can they evaluate these? Do Queer researchers face similar risks in classrooms as they may in the field? In that case, while a queer researcher may be able to take distance from the field, would they have distance from the risk, discomfort, or harm caused in the field? This is a Creative Nonfiction piece that draws on my experience of fieldwork in Hungary in the summer of 2022, and the process of writing my dissertation ‘Dancing Behind Closed Doors: Negotiating Queerness in Hungarian Traditional Dances’ as an academic in mobility. The dissertation looks at how my interlocutors navigate and subvert modes of traditionally heteronormative dance transmission and choreography. Thus, as a Queer researcher of Colour and AFAB, I often dealt with exoticization and dysphoria as I participated in diverse dance spaces while living in a country where the government rhetoric is vocally anti-LGBTQ+ people. I look at safety not only as a physical assurance but also as an emotional assurance and give importance to the affective impact of fear, shame, inadequacy, and otherness on one’s work and well-being. Through my Creative Nonfiction piece, I enter into dialogue with myself and others, as I try to make sense of the process of my research, and identify my needs- which may resonate with other Queer researchers- to start a conversation around queering notions of what one can consider risk, harm, and safety as movement researchers. In this essay, I work through my experiences from fieldwork and the classroom, looking at risks and harm that I was prepared for or immediately recognised, and those which I identified retrospectively. I speak about facing ignorance in academia towards queerness, dysphoria, the danger around being out, lack of access to a queer social network and queer affirmative advising. I engage with the nuances of speaking about my positionality as a queer person, and considering ethics beyond anonymity (of researchers and interlocutors) before entering the field, which are doubly important with queer academics of color who often face danger if their identity becomes public on a familial, social, legal, and employment level. I also try to make sense of ways in which teaching and classroom learning (that hold the purpose of reflection, taking distance, and growth) are often heteronormative or homophobic and can shrink a queer scholar's imagination of queerness and queer possibilities.
Becoming-with Risk in Autoethnographic Creative Practice
Authors: Mehta Alesha
Published: September 2024

This paper will explore becoming-with risk in autoethnographic creative practice through a South Asian and posthuman lens. This research is a component of my doctoral research which seeks to engage with ritualistic methodologies as a tool for South Asian choreographic practice.
Correlating Resonance
Authors: Ebbs Geoff Brian , Sanzogni Louis , Houghton Luke
Published: September 2024

The complex problems facing the world today resist solutions. The reasons are the complex, multidisciplinary, interdependent variables, and the non-optimal behaviour of stakeholders that lead to unsolvable “wicked” problems. Analysis of these complex situations requires methodologies that can deal with this complex, incomplete, and inconsistent data. Neutrosophy has evolved specifically to deal with the indeterminate nature of such data. Some researchers have considered both configurational analysis and neutrosophy. Neutrosophy examines the neutralities and the interplays between opposites whereas configurational analysis isolates the neutralities and focuses on the interplay between opposites. This chapter examines a configurational approach that is simple and arithmetic in nature and does not preclude a focus on the neutralities, so is compatible with neutrosophic logic, statistics, and probability analysis.
Legal Reflections on Compensation for Environmental Damage in UAE Law (Analytical Study)
Authors: Al Shamisi Habiba Mohammed
Published: September 2024

There is no doubt that the issue of environmental balance and protecting the environment from the violations and attacks it is exposed to is one of the issues that has become a concern for legislators and decision-makers at the national and international levels, whether this is related to the civil, penal, or administrative fields. Through this study, the focus will be on the adequacy of the rules of civil liability in confronting various environmental damages, repairing the impact on elements of nature, and the means of compensating injured parties. The principle of compensation for environmental damage is based on eliminating the environmental damage caused to others and property, and if its occurrence is proved, the right to compensation for it will be established. The goal of compensation in the field of environmental damage is not only to seek redress through compensation, but to ultimately reduce the violations to which the environment is exposed.
Materials Science and Nanotechnology
Authors: Das Himadri Sekhar , Basak Arindam , Maity Subir
Published: September 2024

This chapter provides a comprehensive overview of the intersection between materials science and nanotechnology, highlighting the transformative impact these fields have on modern technology and industry. It begins with an exploration of the fundamental principles of materials science, including atomic structure, bonding, and the physical properties of materials. The discussion then transitions to nanotechnology, detailing the unique behaviors and properties of materials at the nanoscale. Advances in fabrication methods, such as chemical vapor deposition and molecular self-assembly, are critically examined. The chapter also addresses the integration of nanomaterials into bulk materials to enhance their performance, leading to the development of novel composites with superior mechanical, electrical, and thermal properties.
Integration of Flexible Perovskite Solar Cells With Wearable Antennas for Sustainable and Efficient Wearable Electronics
Authors: Verma Aloke , Tiwari Ratnesh , Jain Swapnil , Goswami Payal
Published: September 2024

This study presents a groundbreaking strategy in wearable electronics by combining wearable antennas with perovskite solar cells, enabling sophisticated communication capabilities while utilizing sustainable energy sources. The flexible and lightweight perovskite solar cells offer a viable alternative for sustainable power generation in wearable devices. The design process aims to create a synergistic architecture that avoids mutual interference between the antenna and solar cell. Perovskite solar cells transform solar energy into electrical power, which powers the wearable antenna and other low-power devices. Stable power supply is produced through efficient power management circuits, while performance optimization increases the gain and efficiency of the antenna and solar cell. The integrated device is made to last and be reliable, with potential applications in fitness tracking, smart textiles, and vital sign data transmission.
Revolutionizing Financial Literacy Through Exploring Finfluencers' Intentions in Chatbot-Driven Financial Information Dissemination
Authors: Issac Annie , Seranmadevi R.
Published: September 2024

Financial literacy, a cornerstone for stability and empowerment in today's economic landscape, is set to be revolutionized. Finfluencers, individuals with significant financial acumen and a robust digital platform presence, are shaping audiences' financial attitudes and behaviors. This study introduces a conceptual framework based on the decomposed theory of planned behavior (DTPB) that holds the potential to transform how we understand and implement financial education. The unique aspect of this framework is its incorporation of Finfluencers as critical influencers in adopting AI chatbots for financial education. For instance, the model can predict the likelihood of a Finfluencer endorsing an AI chatbot for financial education based on their attitudes, subjective norms, and perceived behavioral control. Despite the widespread use of DTPB across various disciplines, a research gap exists in understanding the determinants of intention and behavior concerning adopting AI chatbots for financial education.
Securing IoT Devices Using Generative AI Techniques
Authors: Khan Azeem , Jhanjhi Noor , Abdulhabeb Ghassan Ahmed Ali , Ray Sayan Kumar , Ghazanfar Mustansar Ali , Humayun Mamoona
Published: September 2024

Generative artificial intelligence (GenAI) is a part of artificial intelligence which has the ability to generate content in various formats ranging from text to videos and images to audio formats. GenAI has the ability to inherently learn from large datasets and can produce results that can be of optimal use in case of cybersecurity. In the current digital landscape, we see a plethora of electronic gadgets connected to this seamless network of devices connected online. These seamless network of devices which were earlier unable to connect due to lack of ip addresses are now able to connect and are improving the quality of human life ranging from home appliances to health domain. From here we see emergence of smart networks which at one side is a boon but at the same time they have the risk of exploitation with unexpected cyberattacks. Hence, this chapter is an effort to highlight the issues concerning cyberthreats and advice on how GenAI can be utilized to mitigate these risks. This chapter focused on applying generative AI to secured IoT devices. By discussing the core concepts of IoT security, such as device authentication and access control, the chapter demonstrated how the next-generation generative AI models, including GANs and VAEs, can boost anomaly detection for device security. The chapter also provided examples of real-life use cases to illustrate how generative AI can be used to optimize the energy grid, protect data privacy, and strengthen cybersecurity efforts. Additionally, this chapter presented the key issues related to ethical considerations pertaining to privacy, bias, and accountability in the development and deployment of responsible AI. Moreover, it introduced the legal aspects of privacy legislation, data protection, and cybersecurity compliance. Finally, the chapter outlined some of the future trends in generative AI for IoT security to name a few are enhanced threat detection, privacy-preserving multimedia processing, and secure communications. The chapter then encourages organizations to start using generative AI to enable systems to become proactive about IoT security and reduce the massive onslaught of cyber threats while navigating an ever-evolving digital landscape.
Convolutions of Artificial Intelligence-Enabled Business Strategies and E-Commerce and Their Impacts on the Future
Authors: Singla Bhavik , Jain Anuj Kumar , Kaur Gaganpreet , Jain Nitin , Jain Vishal
Published: September 2024

This chapter delves into the transformative impact of Artificial Intelligence (AI) on business strategies and e-commerce, showcasing how AI is reshaping the future of commerce. Through a series of comprehensive case studies, it highlights the strategic integration of AI technologies by industry giants like Google, Amazon, and IBM Watson. From personalized customer experiences to efficient supply chain management, these case studies exemplify how AI-driven solutions are revolutionizing traditional approaches and unlocking new avenues for growth and innovation. Moreover, the chapter explores ethical considerations and regulatory frameworks essential for responsible AI deployment. It emphasizes the importance of transparent and ethical AI practices to build consumer trust and uphold ethical standards in business operations. Overall, the chapter underscores the transformative journey where technological innovation intersects with human potential and ethical imperatives, offering insights into how businesses can navigate the complexities of the modern marketplace with confidence
Leveraging AI and ML for Proactive Threat Detection for E-Commerce
Authors: Mudgal Akshay
Published: September 2024

In the fast-paced realm of e-commerce, safeguarding sensitive data is crucial for customer trust and loyalty. Traditional security measures often fall short against evolving cyber threats. Thus, integrating AI and ML technologies enhances data security. AI-powered systems can identify potential breaches in real-time, while ML algorithms improve fraud detection and authentication. AI-driven predictive analytics identify vulnerabilities, and AI-powered chatbots monitor for suspicious activities. Adaptive security frameworks dynamically adjust to evolving threats, ensuring resilience. This strategic collaboration with AI and ML helps e-commerce enterprises secure customer data and maintain a safe digital environment.
Enhancing Advertising Effectiveness Through AIDA, AI, and Data Visualization Integration for Business Strategies
Authors: Aarzoo  , Lal Ruhi
Published: September 2024

For optimal outcomes, traditional advertising models must be combined with modern technologies as digital marketing evolves. This study improves advertising with AIDA, AI, and data visualisation. The study examines how AI-driven data analytics and sophisticated visualisation might boost company advertising. AI-powered customisation increases customer engagement and product interest, according to a literature review, digital advertising campaign analysis, and in-depth interviews with industry professionals and consumers. Data visualisation simplifies AI strategy and insights. Case studies demonstrate how AIDA, AI, and data visualisation improve advertising. Research utilises AI and data visualisation with the AIDA model to create targeted, engaging, and powerful ads. The findings show executives and researchers how integrated initiatives can boost digital conversions and audience engagement. This study promotes hybrid digital and conventional advertising. These tactics help firms succeed in the ever-changing digital world.
Adopting the Novel Technique to Save Time and Resources by Applying Virtual Reality in the Training Industry
Authors: Reddy M. Siva Swetha , Nijhawan Ginni , Adnan K. , Nagaraju S. , Vidyadhari C.
Published: September 2024

The potential of virtual reality for training and safety purposes in raw materials sector firms is the focus of this chapter. More widespread usage of VR's full potential in manufacturing has been the driving force behind the field's recent research initiatives. The potential of virtual reality (VR) as a medium for teaching and training has recently emerged. Users are able to participate in scenarios, simulations, and other forms of interactive learning in real-time inside its immersive and dynamic learning environment. Learning practical skills, improving knowledge retention, and cultivating soft skills like leadership, collaboration, and communication may all be aided by virtual reality.
Federated Learning for Collaborative Cyber Defense
Authors: Muzammal Syeda Mariam , Bibi Ruqia , Waseem Hira , Din Syed Nizam Ud , Jhanjhi N. Z. , Tayyab Muhammad
Published: September 2024

With the increase in the complexity and number of cyber threats, security practitioners and defenders are looking for enhanced and robust security practices and solutions for effective cyber defense. Traditional cyber defense practices have been facing several challenges including data silos, data privacy concerns, and limited collaboration between organizations. In addition, the centralized machine learning models have their limitations, in terms of heterogeneity and formatting of datasets, for addressing distributed cyber threats. Federated learning has emerged as a decentralized machine learning approach with its potential for privacy preservation and contextualizing data for collaborative cyber defense. Federated learning has several characteristics, such as model aggregation, federated averaging, and differential privacy, which enable the collaborative training of machine learning models across distributed datasets.
Generative AI for Threat Intelligence and Information Sharing
Authors: Sindiramutty Siva Raja , V. Prabagaran Krishna Raj , Jhanjhi N. Z. , Murugesan Raja Kumar , Brohi Sarfraz Nawaz , Wei Goh Wei
Published: September 2024

Collaboration in providing threat intelligence and disseminating information enables cyber security professionals to embrace digital security most successfully, whose risks are ever-changing. This article dwells on the capacity of machine intelligence to change information security by categorising indicators of compromise (IOC) and threat actors, then highlights the limits of traditional methods. Among Artificial intelligence tools such as generative adversarial networks (GANs) and Variational autoencoders (VAEs), which are the key innovators, one can create synthetic or fake threat data that emulates real attack scenarios in the past. This allows cyber-related risks to be analysed differently from before. In addition, this feature enables secure stakeholder collaborations. It is also meant mainly for factual data that protects private information but allows the exchange of helpful information. It is clear from the fact that showcasing real-world examples demonstrates Al's automation through cybersecurity detection.
Vision and Strategy
Authors: Tariq Muhammad Usman
Published: September 2024

This chapter explores strategic management vision and planning as central to modern business management. It investigates the effects of a captivating vision, which helps in engaging the stakeholders and channeling the institution's efforts towards the achievement of strategic objectives. This chapter looks at the several strategy development techniques such as the SWOT analysis, PESTLE analysis, and the scenario planning to understand their usefulness in uncovering opportunities and threats. Propagation of strategic plans and management of emerging technologies including AI, machine learning, and blockchain are also done as well as supported with real life examples that give a feel of how firms get competitive advantage through technological application. Leadership in the implementation process is also underlined and demonstrations of various types of leadership to promote innovation and increase the degree of strategic alignment.
Marketing and Social Criticisms
Authors: Mandal Pratap Chandra
Published: September 2024

Companies face social criticisms because of their marketing practices. The objective of the study is to analyze the social criticisms of marketing practices adopted by companies. The methodology adopted is a conceptual analysis of the various aspects of marketing practices. The marketing practices may have negative impacts on individual customers, on other businesses, and on society at large, and may result in social criticisms. Academicians may analyze the marketing practices and suggest companies retain those marketing practices which create a positive impact and are sustainable. Practicing managers should realize that both consumer welfare and social welfare are essential for company growth. They should encourage those marketing activities which create a positive impact, which ensure both consumer welfare and social welfare, and which help them to achieve business growth and excellence in the long run.
Energy-Efficient Routing Approach Based on Free Hold Participation and Acquisition Hierarchical Network of Forwarder Nodes in WSNs.
Authors: Dumka Ankur , Justus Vivek , Rawat Ruchira , Gehlot Anita , Bisht Anil Kumar
Published: September 2024

Wireless sensor network (WSNs) is one of the emerging technologies which has found widespread applications in nearly all spheres of our lives and its deployment and span of functionality is increasing day by day. Ongoing research in Wireless Sensor Networks (WSN) focuses on achieving maximum energy efficiency during the operational lifetime of its constituent nodes. A major challenge for manufacturers lies in producing tiny low-cost sensor nodes. Inherent to sensor network adoption is the use of very low power methods for radio communication and data acquisition. WSNs use Multiple-hop communication through single next-hop node, which may suffer from hold ups or bottlenecks. Resultant collisions and retransmissions impose an Energy Overhead. Low throughput caused due to retransmission/collisions affects the performance quotient of a WSN. It has emerged over the course of study and observations that Overhearing nodes are always ignored (Ignored free hold participation).
IFRS 9 adoption and its impacts on banks’ credit impairment: an international perspective
Authors: Lima Ribeiro Carlos William , De Santana Júnior Jorge Luiz , Coppe Pimentel Renê , Meirelles Salotti Bruno
Published: September 2024

Objective: This paper analyzes the initial impacts of IFRS 9 adoption on banks’ credit impairment level in an international perspective. Specifically, we analyze the impact on banks' financial position and performance, the bank- and country-specific determinants of the impairment magnitudes and the informational effects of the new standard.Method: The study is based on a sample of 149 listed banks from 12 countries from G20 and bivariate and multivariate analyses are applied.Results: Results indicate that credit impairment recognized under IFRS 9 is larger than under IAS 39, suggesting a more conservative accounting model and that the new standard affected banks’ performance and financial position. We show that IFRS 9 implementation was significantly different among countries, especially between high- and low-income countries and the information under IFRS 9 is more value-relevant than IAS39.Contributions: We add to the previous literature by documenting the initial impact of IFRS 9 implementation on financial statements and on value relevance, as well as the bank- and country-specific determinants of the level of this impact.
Thyroid Storm in the Presence of Acute Liver Failure - A Management Dilemma
Authors: Wickramarachchi A. , De Silva S. D. N. , Aravinthan M. , Katulanda P.
Published: September 2024

Introduction: Hyperthyroidism presenting in conjunction with liver impairment leads to diagnostic and therapeutic dilemmas. This case report explores the intricate management challenges presented by the co-occurrence of thyrotoxicosis and liver impairmentCase Description: A 58-year old gentleman presented with features of cardiac and liver failure compounded by palpitations, weight loss, and a goiter suggestive of hyperthyroidis. Clinical findings unveiled features of Graves’ disease, right heart failure, and acute liver failure. Laboratory results confirmed acute-on-chronic liver cell disease (CLCD) and portal hypertension, coupled with hyperthyroidism indicative of a thyroid storm. Management challenges arose in initiating antithyroid drugs due to escalating liver enzymes. Therapeutic interventions encompassed propranolol for rate control, hydrocortisone, cholestyramine, Li2CO3, and early total thyroidectomy.Conclusion: This case highlights the multifaceted nature of thyroid-liver interactions, emphasizing the need for a tailored therapeutic approach in addressing both endocrine and hepatic complications. The complexities surrounding autoimmune liver diseases and the impact of antithyroid drugs on liver function are discussed. Through this exploration, valuable insights are provided into the nuanced management of this challenging clinical scenario.
The value of computed tomography perfusion for assessing the response of hepatocellular carcinoma to transarterial chemoembolization
Authors: Huynh Bui Quang , Hung Nguyen Duy , Dung Le Thanh , Thu Nguyen-Thi , Anh Nguyen-Thi Hai , Duy Ngo Quang , Minh Duc Nguyen
Published: September 2024

We determined the value of computed tomography perfusion (CTP) for assessing the response of hepatocellular carcinoma (HCC) to transarterial chemoembolization (TACE). 20 post-TACE HCC patients were re-evaluated with contrast-enhanced computed tomography and CTP. Patients with persistent arterial vascularization [non-response (NR)] or those with no arterial vascularization in the mass, but with signs of new nodules, underwent digital subtraction angiography (DSA), which was used to analyze image characteristics and CTP parameters of TACE-treated HCC. 27 post-TACE HCC masses (mean size 4.21 cm, range 2-6.5 cm) were observed in the 20 patients. The values yielded by CTP were 78.30±40.41 mL/min/100g and 33.67±38.74 mL/min/100g for hepatic arterial blood flow (HABF) and 51.40±17.80% and 25.60±26.53% for hepatic arterial fraction (HAF) in the NR group and complete response group, respectively. The NR group’s cutoff value of HABF was ≥55.95 mL/min/100g, with a sensitivity of 91.7% and specificity of 71.42%, and that of HAF was ≥32.55%, with a sensitivity of 92.3% and specificity of 83.33%. The CTP and DSA techniques showed high agreement in assessing the post-TACE responses of liver tumors (κ=0.872). The perfusion parameters HABF and HAF have high value for assessing post-TACE responses of HCC.
Double vindication, collective rebuke: Examining (Divine?) wisdom in Matthew 11:19 and Luke 7:35
Authors: Watson Matthew
Published: September 2024

This biblical theological investigation into the parallel narratives of Matthew 11:2–19 and Luke 7:18–35 seeks to identify wisdom (σοφία) in the concluding vindication of the wisdom statement of each pericope. The presence of a Wisdom Christology in these Gospels has led to significant scholarly debate as to whether σοφία in one or both of these texts refers to Jesus as Wisdom Incarnate, or to a more generic expression of personified Divine Wisdom. This study has attempted to prevent automatically reading theological and Christological patterns which are debated in the Gospels on the whole into the individual pericopes in question by engaging the exegetical details of the statements in their literary contexts, especially in relation to previous research that does not seem to have been sufficiently taken into account. This investigation argues that when the vindication of wisdom statements in these pericopes are read in the context of the parables of rebuke, especially when apparently peculiar language is understood in light of the socio-cultural context, the evidence points to an identification of Divine, rather than Christological Wisdom. Additionally, the texts’ portrayals of wisdom’s vindication are contrasted with the dangerously puerile conduct of the ‘child judges’ in the parables and the equally misguided verdicts of ‘this generation’, offering a biblical theological glimpse into the human difficulties of adequately discerning and engaging with God and his Wisdom at work.Contribution: By taking into account previously neglected observations regarding the socio-cultural background of the language used in Matthew 11:2–19 and Luke 7:18–35 and by relating Divine Wisdom to the difficulties of human perception and response in ways other investigations have not, this article has made a modest contribution to the interpretation of these episodes and to the biblical theology of wisdom.
Impact of human papillomavirus and coinfection with other sexually transmitted pathogens on male infertility
Authors: Fan Xin , Xu Ya , Xiang Li-Feng , Liu Lu-Ping , Wan Jin-Xiu , Duan Qiu-Ting , Dian Zi-Qin , Sun Yi , Wu Ze , Dong Yun-Hua
Published: September 2024

This study primarily aimed to investigate the prevalence of human papillomavirus (HPV) and other common pathogens of sexually transmitted infections (STIs) in spermatozoa of infertile men and their effects on semen parameters. These pathogens included Ureaplasma urealyticum, Ureaplasma parvum, Chlamydia trachomatis, Mycoplasma genitalium, herpes simplex virus 2, Neisseria gonorrhoeae, Enterococcus faecalis, Streptococcus agalactiae, Pseudomonas aeruginosa, and Staphylococcus aureus. A total of 1951 men of infertile couples were recruited between 23 March 2023, and 17 May 2023, at the Department of Reproductive Medicine of The First People’s Hospital of Yunnan Province (Kunming, China). Multiplex polymerase chain reaction and capillary electrophoresis were used for HPV genotyping. Polymerase chain reaction and electrophoresis were also used to detect the presence of other STIs. The overall prevalence of HPV infection was 12.4%. The top five prevalent HPV subtypes were types 56, 52, 43, 16, and 53 among those tested positive for HPV. Other common infections with high prevalence rates were Ureaplasma urealyticum (28.3%), Ureaplasma parvum (20.4%), and Enterococcus faecalis (9.5%). The prevalence rates of HPV coinfection with Ureaplasma urealyticum, Ureaplasma parvum, Chlamydia trachomatis, Mycoplasma genitalium, herpes simplex virus 2, Neisseria gonorrhoeae, Enterococcus faecalis, Streptococcus agalactiae, and Staphylococcus aureus were 24.8%, 25.4%, 10.6%, 6.4%, 2.4%, 7.9%, 5.9%, 0.9%, and 1.3%, respectively. The semen volume and total sperm count were greatly decreased by HPV infection alone. Coinfection with HPV and Ureaplasma urealyticum significantly reduced sperm motility and viability. Our study shows that coinfection with STIs is highly prevalent in the semen of infertile men and that coinfection with pathogens can seriously affect semen parameters, emphasizing the necessity of semen screening for STIs.
Safety and efficacy of low dose or no heparinization in cerebral angiography: A randomized controlled study (SELECT trial)
Authors: Wang Zheng , Luo Jichang , Qin Qinpu , Tang Hongyan , Yao Hui , Wang Tao , Feng Fei , Li Wei , Sun Mengmeng , Jiao Liqun
Published: September 2024

INTRODUCTION:

Although systemic heparinization is a widely used technique during digital subtraction angiography (DSA), heparin is associated with a variety of complications including hemorrhage, thrombocytopenia, and hematomas. This study aimed to investigate the safety and efficacy of microdose systemic heparinization or no heparinization on cerebral angiography for cerebrovascular diseases.

MATERIALS AND METHODS:

We conducted a prospective, single-blind, randomized controlled study on patients who ought to be experienced cerebrovascular examination and underwent DSA. Participants were randomized into three groups: regular-dose systemic heparinization, microdose systemic heparinization, and no heparinization. Information on patient demographics, laboratory tests, perioperative complications, and back pain scores was collected. Safety endpoints were defined as cerebral ischemic events and local complications of the puncture site. Efficacy endpoints were defined as the recovery of the patients.

RESULTS:

A total of 180 patients were enrolled in the study and randomized into one of three groups. Patients were on average 54.4 ± 10.6 years old and 71.6% were male. Among the three groups, there was no significant difference in the incidence of postoperative thrombotic or ischemic events (regular dose vs. microdose vs. no heparinization: 1.7% vs. 3.3% vs. 1.7%, P = 0.774). The microdose or no heparinization group; however, experienced a significantly lower rate of postoperative subcutaneous hematoma (15.0% vs. 3.3% vs. 0%, P = 0.002), as well as significantly less back pain (21.7% vs. 5.0% vs. 1.7%, P < 0.001) compared to the regular-dose heparinization group.

CONCLUSIONS:

Microdose heparinization or heparin-free cerebral angiography demonstrated similar safety to conventional heparinization but significantly reduced local complications of the puncture site and accelerated recovery.

TRIAL REGISTRATION:

ClinicalTrials.gov, identifier NCT06365398.
A Case Report of Isotretinoin: Acute Eosinophilic Pneumonia, A Rare Adverse Reaction
Authors: Küçük Kadir
Published: September 2024

This is a case of acute eosinophilic pneumonia (AEP) in a 21-year-old woman with acne vulgaris who was treated with isotretinoin. During treatment, her blood tests showed normal results until the third month, when there was a slight increase in eosinophil count. In the fifth month of treatment, the patient presented to the pulmonology outpatient clinic with complaints of shortness of breath. Lung CT imaging revealed infiltration in both lungs characterized by ground glass opacities. AEP was diagnosed based on blood and imaging results. Isotretinoin therapy was terminated, and oral steroids were initiated, resulting in the improvement of the patient’s symptoms. The patient had no additional risk factors except for smoking, but she had not started or resumed smoking after quitting. This case report highlights the possibility of hypersensitivity pneumonitis following isotretinoin administration.
Link between Yoga and Heart Rate Variability: Can Yoga Enhance the Cardiac Resonance
Authors: Kumari Swati , Nadholta Pooja , Dahiya Neelam , Sharma Arun , Singh Harpreet , Kumar Sunil , Singh Gurmeet
Published: September 2024

Cardiac resonance is a complicated phenomenon involving the coordinated oscillations of numerous circulatory system components, such as electrical activity, contraction and relaxation, and blood flow. It is critical for the normal functioning of the heart and for maintaining blood flow throughout the body. Cardiac resonance is defined as a series of tiny waves produced by the heartbeat and overlaid on flow data and airway pressures. A variety of technologies, including cardiac magnetic resonance (CMR) imaging, can be used to identify these waves. CMR is a strong noninvasive method for seeing and quantifying heart anatomy and function in great detail. CMR can be used to assess cardiac resonance in both healthy and heart disease patients. A regular and coordinated pattern of oscillations characterizes cardiac resonance in healthy persons. In patients with heart illness, however, cardiac resonance can be interrupted, resulting in diminished cardiac function and decreased blood flow. The intricate role of cardiac resonance in cardiac health and disease is continuously being studied by researchers. However, it is obvious that cardiac resonance is an exciting area of research that has the potential to change the way to identify and treat heart illness. Yoga is a mind–body practice that has been demonstrated to have numerous cardiovascular health advantages, such as improved heart function, reduced inflammation, and lower blood pressure. Yoga is hypothesized to promote cardiac resonance by encouraging coordinated oscillations of numerous cardiovascular system components. Various researches have shown buoyant results such as yoga can be helpful in improving heart rate variability, cardiac resonance and reducing arterial stiffness. Stress can disrupt cardiac resonance and increase the risk of heart disease. More research is needed to completely understand the mechanisms that impact cardiac resonance and the long-term advantages of yoga for heart health.
Метод оценки количества нулей пространственно-одномерной функции Паули-Йордана-Дирака на пространственных интервалах с применением теоремы Кронекера
Authors: Karatsuba Ekatherina Anatol'evna
Published: September 2024

Исследуются свойства антикоммутатора Паули-Йордана-Дирака квантовой теории поля свободных электронов Дирака в дискретном представлении в пространственно-одномерном случае. Представлен метод оценки количества нулей антикоммутатора на пространственных интервалах с использованием теоремы Кронекера.
Точное решение задачи о взаимодействии точечного заряда и диэлектрика с нелинейной восприимчивостью
Authors: Belov Aleksandr Aleksandrovich , Tintul Maksim Aleksandrovich , Polyakov Petr Aleksandrovich
Published: September 2024

Построено новое точное решение задачи о тонкой заряженной нити, параллельной границе раздела диэлектриков, один из которых обладает нелинейной восприимчивостью.
Integrated Soil Fertility Management in Ghana: challenges and opportunities
Authors: Yeboah E. , Ampadu-Ameyaw R. , Opoku A. , Ansah-Amprofi F. , Fosu M. , Kugbe J. , Logah V. , Ewusi N. , Huising E.J. , Fening J.O.
Published: September 2024

Soil fertility remains a challenge in Ghana and other sub-Saharan African countries. Most nutrient balances on farmers' fields are  negative due to nutrient mining resulting from continuous cultivation of farmers' fields. The major farming systems in the region are  characteristically lowinput and rely heavily on resident soil organic matter, which is very low due to environmental and socioeconomic  factors. Ghana has one of the lowest fertiliser application rates in the sub-region as a result of the inability of farmers to afford this input.  The introduction of integrated soil fertility management (ISFM) practices, which is premised on combining organic resources and inorganic fertilisers to combat soil fertility decline in combination with appropriate germplasm is being introduced as one possible  technology that can reduce soil infertility. This review takes a critical look at the implementation of ISFM in Ghana with particular  emphasis on challenges to adoption and implementation. Results indicate that most of the successes of this technology occurred in the  northern parts of the country; however, proper implementation will require more effort to address challenges such as information flows  in the value chain. The other solution is a need for a policy shift towards implementing the technology in addition to infrastructure     development and the development of fertiliser markets.
Efficacy of certain entomopathogenic fungi for controlling the potato tuber moth Phthorimaea operculella (Lepidoptera: Gelechiidae) under field conditions in Beheira Governorate, Egypt
Authors: Eltair A. S. , Abd-El Rahman I. E. , Ibrahim A. A.
Published: September 2024

The Field study was conducted in Barsiq village, Abu Homs city, Beheira Governorate during two successive seasons, summer seasons 2021 and 2022. The main purpose of this study was to evaluate the efficacy of two entomopathogenic `fungi, Beauveria bassiana and Metarhizium anisopliae three concentrations 1x106 , 1x109 and 1x1012 spores/ml were used. Also, threecommercial bioinsecticides [Biosiana 2.5% WP, Biometa 2.5% WP and Ememactin benzoat 5.7% WG]. The insecticide Methomyl 90% SP, for comparison under field conditions on the population of potato tuber moth, Phthorimaea operculella (Zeller) (Lepidoptera: Gelechiidae) which is considered the main insect pest that attacks potato Solanum tuberosum L. The obtained results showed the efficiency of tested control methods to protect potato foliage from PTM infestation, the highest value was recorded with Methomyl insecticide, followed by E. benzoat, combining E. benzoat with Biosiana, E. benzoat with Biometa, Biosiana, Biometa respectively. While the entomopathogenic fungi B. bassiana 1×1012, 1×109 , 1×106 and M. anisopliae 1×1012 , 1×109 , 1×106 , respectively. The relation between treatments and potato yield indicated that the highest increase of the potato yield was recorded with Methomyl insecticide, followed by, E. benzoat, combining E. benzoat with Biosiana, E. benzoat with Biometa, Biosiana and, Biometa respectively, Biosiana, Biometa, B. bassiana and M. anisopliae three concentrations (1×1012 , 1×109, 1×106 ) spores/ml.
Silver nanoparticles incorporated local montmorillonite clay modified carbon paste electrode for the voltammetric determination of Arsenic (III) in aqueous solution
Authors: Dessie Mekonnen Mihiret , Tsegaye Abebaw Adgo
Published: September 2024

A sensitive electrochemical method was developed to determine arsenic (III) using silver nanoparticles incorporated local montmorillonite clay nanocomposites modified carbon paste electrode (Ag-NPs/MT/CPE) in aqueous solution. Electrochemical properties of carbon paste electrode (CPE) modified by Ag-NPs/MT nanocomposite were studied using cyclic voltammetry and electrochemical impedance spectroscopy in the presence of 10 mM K3Fe(CN)6 3-/4-/0.1 M KCl aqueous solution as well as in the presence of 100 μg/mL As (III) in 0.1 M PBS. Voltammograms acquired on Ag-NPs/MT/CPE showed an enhancement of the oxidation current density peak compared to the bare CPE. This is attributed mainly to the catalytic activity and improved surface to volume ratio of Ag-NPs/MT composite. The electrochemical sensor based on Ag-NPs/MT nanocomposite was constructed and used for the detection of As (III). Under optimized condition (pH 7, deposition potential-0.3 V and deposition time 60 s) the sensor exhibits sensitivity 0.02953µA/µg/mL and detection limit 38.2 µg/mL As (III). The Ag-NPs/MT/CPE has also shown good stability, it retained a response of 93.8% of the initial current after 12 days storage at room temperature. Therefore, the developed sensor can be a good candidate for electrochemical determination of As (III) in aqueous solution.
Proximate, total starch,glycemic index, glycmic load and sensory analysis of fufu analogue products from maize residue
Authors: Ndulaka J.C. , Obasi N.E. , Onwuka G.I. , Esihe T.E.
Published: September 2024

Production and evaluation of fufu analogue products from maize residue were studied.Maize residue was blended with different  quantities of food binders (psyllium husk and gelatin) for the production of fufu analogue products. Standard procedures were adopted  in the analysis of the proximate compositions, total starch, hydrolysis index, estimated glycemic index, glycemic loads and sensory  attributes of the fufu analogue products.The fufu analogue products had moisture content values ranging from 3.03% to 8.26%, crude  protein contents 1.90% to 3.03%, crude fat contents 2.89% to 4.01%, ash contents 6.59% to 7.97%, crude fibre 50.38% to 65.82% and carbohydrate 16.14% to 31.40% respectively. Starch digestibility analysis showed that the total starch of the fufu analogue products to be  within the range of 20.11g/100 g to 22.13g/100g, resistant starch 11.03 to 12.10g/100g, rapidly digestible 4.30 to 4.90/100g, slowly  digestible starch 2.70 to 5.11g/100g. Hydrolysis index of the fufu analogue products was found between the ranges of 1.08 to 6.32%. The  fufu analogue products had estimated glycemic indices ranging from 40.30% to 43.18% and glycemic loads ranging from 6.32 to 19.34%.  The sensory results of the fufu analogue showed that products made of 5-10g psyllium husk rated highest (7.00) in terms of mouldability  and overall acceptability. According to the study, all of the fufu analogue products recorded low glycemic indices and medium range  glycemic loads and could be classified as functional foods. The fufu analogue product with the lowest glycemic load and index was made  from 10g of psyllium husk.