bluuebunny/crossref_metadata_2025 huggingface dataset:
Interpretación Subjetiva del Abandono en los Adultos Mayores de un Asilo en Tabasco
Authors: Campos Gómez Aline Aleida del Carmen
Published: August 2024

Aunque no existe consenso universal sobre la edad en la que una persona se convierte en adulto mayor, la Organización Mundial de la Salud (OMS) establece los 60 años como referencia para definir el inicio de la adultez mayor. En esta etapa se presentan cambios biológicos y cognitivos. Es fundamental atender alteraciones en los procesos relacionados con estas dos dimensiones, ya que se experimentarán distintos grados de deterioro con el paso del tiempo y estos cambios se pueden relacionar con la reducción de actividad física. Durante el Verano de la Investigación Científica 2023, se llevó a cabo una intervención en una casa de cuidados de adultos mayores en Nacajuca, Tabasco. El objetivo fue observar y analizar comportamientos de adultos mayores, teniendo en cuenta sus historias de vida y características individuales. MÉTODO: Esta investigación es un trabajo cualitativo donde se observó y entrevistó a 38 adultos mayores. RESULTADOS: Se encontraron afecciones emocionales y angustia en la mayoría de los testimonios de los adultos mayores sobre sus historias de vida. Derivado del análisis de testimonios y observación participante, se generó la propuesta de realización de evaluaciones y diagnósticos para el establecimiento de acciones eficaces que mejoren el funcionamiento cognitivo y motriz de los adultos, conforme a su edad y condiciones personales. CONCLUSIONES: Esta experiencia fue una oportunidad para un acercamiento más estrecho y contribuir a la comprensión de la vejez como etapa de la vida, que puede presentar más dificultades si no se cuenta con apoyo emocional, por lo tanto, brindar atención adecuada a los residentes es necesario para mejorar su calidad de vida y garantizar una buena convivencia.
Estrategias Pedagógicas para Fortalecer la Comprensión Lectora Mediadas por las TIC
Authors: Rivera Alcaraz Yuranny Andrea
Published: August 2024

La comprensión lectora es la capacidad de entender lo que se lee, tanto el significado de las palabras que forman un texto, como el sentido dentro y fuera del argumento total, permite extraer información, entenderla y juzgarla autónomamente. La mitad de los jóvenes de América Latina no alcanzan los niveles requeridos en comprensión lectora. Colombia se encuentra entre los diez países de la organización para la Cooperación y el Desarrollo Económico con más alumnos con bajo rendimiento en lectura. Las tecnologías de la información y la comunicación (TIC) son herramientas que permiten comunicarse de manera efectiva e inmediata, y que pueden ser empleadas en contextos académicos con fines didácticos y para mejorar el aprendizaje. Por ello el objetivo general de la presente tesis consistió en proponer e implementar una estrategia pedagógica para fortalecer la comprensión lectora en la Institución Educativa Atanasio Girardot de Bello Antioquia, Colombia, mediada por TIC, con herramientas web 2.0. Se realizó un estudio en tres fases con enfoque cualitativo mediante un diseño de investigación acción participativa en el cual se incluyó a 20 estudiantes de grado noveno. Para la recolección de datos se utilizó la observación, la encuesta y el diálogo, con base en la información obtenida, se desarrolló e implementó la estrategia pedagógica para el fortalecimiento de la comprensión lectora mediante TIC. Se observaron cambios positivos en la comprensión lectora de los participantes. Se concluye que las TIC son una herramienta útil para ayudar a mejorar la comprensión lectora, y que un nivel adecuado en esta área puede mejorar el rendimiento académico general de los estudiantes.
Peningkatan Mutu Pendidikan Melalui Implementasi Sistem Penjaminan Mutu Pendidikan di SMP Negeri 5 Meureubo Aceh Barat
Authors: Handayani Lili , Juwita Juwita , Afriansyah Afriansyah , Sariakin Sariakin
Published: August 2024

This study aims to analyze the improvement of education quality through the implementation of education quality assurance system in State Junior High School 5 Meureubo West Aceh. This study uses a qualitative descriptive method approach. This study was conducted at State Junior High School 5 Meureubo West Aceh. Data collection techniques through observation, interviews and documentation using interview guide instruments, observation sheets and documentation. Data were analyzed through the process of data collection, data reduction, data presentation and drawing conclusions. The study proves that the implementation of the Internal Quality Assurance System at State Junior High School 5 Meureubo West Aceh was carried out by the School Education Quality Assurance Team, which works based on instructions and directions from the South Sulawesi Education Quality Assurance Institute. The internal quality assurance cycle at State Junior High School 5 Meureubo West Aceh includes mapping of education quality, quality fulfillment plans, implementation of quality fulfillment, monitoring and evaluation, and setting new standards.
Cultural Competence and Educational Equity Among Grade 5 Learners
Authors: G. Piamonte Karen Jade
Published: August 2024

This study investigates the relationship between cultural competence and educational equity among Grade 5 learners. Utilizing a descriptive correlational research design, the research explores the extent of cultural competence among Grade 5 students, encompassing awareness of personal biases, knowledge of diverse cultural backgrounds, cross-cultural communication skills, and inclusive and culturally responsive practices. It also assesses the degree of educational equity, including access to resources and opportunities, achievement gaps, and equitable treatment. Data was collected using a survey adapted from established instruments. Simple random sampling was employed to select Grade 5 learners. Statistical tools such as mean, Pearson r, and regression analysis were used to analyze the data. The findings reveal that Grade 5 learners exhibit extensive cultural competence, with particularly high scores in knowledge of diverse cultural backgrounds and cross-cultural communication skills. Educational equity is also found to be very extensive, reflecting equitable treatment, access to resources, and opportunities. Importantly, there is a significant and positive relationship between cultural competence and educational equity, with awareness of personal biases, cross-cultural communication skills, and inclusive practices significantly influencing educational equity. The study recommends the active promotion of cultural competence and inclusivity to create equitable learning environments for Grade 5 learners in the Philippines.
Awareness, Perception and Efficacy of ChatGPT as a Disruptive Educational Tool: A Study of Sharda University Students and Teachers
Authors: Mercy Egolet Wandiereko , Koul Kachroo Arti
Published: August 2024

This study investigates the awareness and perceptions of ChatGPT among a sample of 300 students and 50 teachers at Sharda University, employing the Unified Theory of Acceptance and Use of Technology (UTAUT) as the theoretical framework. Through the application of descriptive statistics and ANOVA analyses, the research aims to elucidate the multidimensional landscape surrounding ChatGPT integration in educational contexts. The objectives encompass (i) assessing the level of awareness among Sharda University students and teachers about ChatGPT, (ii) exploring their perceptions towards ChatGPT concerning demographic variables like age, gender, program affiliation, and years of studying/teaching, and (iii) proposing recommendations and strategies for optimizing the integration of ChatGPT into teaching and learning processes. The findings reveal varying levels of awareness and significant differences in perceptions across demographic variables, highlighting the importance of tailored implementation strategies and targeted promotional efforts guided by the UTAUT framework. Additionally, identified potential benefits, challenges, and concerns offer valuable insights into the complexities of ChatGPT integration, informing future research endeavours and strategic decision-making in educational settings within the UTAUT framework.endeavors.
A seed extract of Mucuna pruriens reduced male reproductive endocrine disruptions in rats induced by chlorpromazine
Authors: Ahmed Sahar Mohammed , Al-Mulla Hummadi Yassir M. K. , Waheed Huda Jaber
Published: August 2024

Current research aims to assess the therapeutic impact of Mucuna pruriens seed extract on PROTAMIN (PRM) I and II gene expression and hormones in chlorpromazine-induced endocrine disruptions and reproductive toxicity in male rats. Thirty male Wistar rats were categorized into five groups: the negative control group, rats that received distilled water for 52 days; the induction group, rats that received (20 mg/kg) of chlorpromazine for 52 days; and three treatment groups that were pretreated with chlorpromazine (similar to the induction group) that received a low, medium, and high dose of Mucuna pruriens (500, 1000, and 2000 mg/kg, respectively). Serum samples were collected to measure testosterone, FSH (follicular stimulating hormone), LH (luteinizing hormone), and prolactin serum levels using the ELISA technique. Tissue samples were collected to measure PRM I and II gene expression and for histopathological study. The PRM I and II genes were significantly downregulated in the chlorpromazine-treated group. These genes were also significantly upregulated in Mucuna pruriens-treated groups. The Mucuna pruriens-treated groups revealed a significant rise in serum LH, testosterone, and FSH concentrations, decreased serum prolactin, and improved histology of testicular damage compared to the induction group. In conclusion, the endocrine disruption and hormonal changes induced by chlorpromazine improved when Mucuna pruriens was administered, improving the impairment in gene expression and hormones.
Harnessing the Untapped Potential of Ambulatory Clinical Placements in Prelicensure Nursing Education
Authors: Jeffrey Carrie , Quayle Tressa , Rindlisbacher Diane
Published: August 2024

Background:

The purpose of this academic-practice partnership was to expand nursing prelicensure educational opportunities beyond the walls of acute care hospital settings and into communities and ambulatory environments to address clinical placement shortages and support clinical practice recruiting efforts.

Method:

Leaders from Annie Taylor Dee School of Nursing, Weber State University and Intermountain Health collaborated to design and implement a plan for innovative clinical placements across the state through regular work sessions, frequent communication, shared electronic cloud documents, and real-time adaptations and adjustments.

Results:

The successful implementation of the project resulted in the placement of 296 prelicensure students from 36 clinical groups in various ambulatory and community health environments, which increased total clinical rotation days and decreased reliance on hospital and long-term care facilities.

Conclusion:

Through innovative planning and implementation, academic-practice partnerships can address clinical placement site shortages and harness the untapped potential of underutilized clinical placement opportunities outside acute care hospital settings.

[
J Nurs Educ
. 2024;63(X):XXX–XXX.]
Diversity, Equity, and Inclusion Competencies for a Graduate Nursing Program
Authors: Jordan Jeremy , Layton Shannon S. , Wilson Christina M. , Crooks Elizabeth A. , Smith Tedra
Published: August 2024

Background:

The integration of diversity, equity, and inclusion (DEI) concepts throughout the curriculum is imperative to the preparation of advanced-practice nurses to deliver person-centered care. This article describes the design and evaluation of one institution's faculty-developed DEI competencies for graduate nursing students.

Method:

A task force of faculty and content experts utilized a modified Delphi approach in the development of DEI-focused competencies related to advanced-level nursing education. A literature review, a faculty survey, and content experts were employed in the modified Delphi approach.

Results:

Creation of interdisciplinary faculty-lead graduate nursing DEI curricular competencies included an overview, identification of three domains, eight competencies with associated key elements, and a glossary clarifying nine essential DEI terms.

Conclusion:

The development of DEI competencies for graduate nursing programs is feasible and an important strategy for preparing students with the values and skills to address the ongoing embedded structural inequalities in health care.

[
J Nurs Educ
. 2024;63(X):XXX–XXX.]
Microbes' role in environmental pollution and remediation: a bioeconomy focus approach
Authors: Maglione Giuseppe , Zinno Paola , Tropea Alessia , Mussagy Cassamo U. , Dufossé Laurent , Giuffrida Daniele , Mondello Alice
Published: August 2024

Bioremediation stands as a promising solution amid the escalating challenges posed by environmental pollution. Over the past 25 years, the influx of synthetic chemicals and hazardous contaminants into ecosystems has required innovative approaches for mitigation and restoration. The resilience of these compounds stems from their non-natural existence, distressing both human and environmental health. Microbes take center stage in this scenario, demonstrating their ability of biodegradation to catalyze environmental remediation. Currently, the scientific community supports a straight connection between biorefinery and bioremediation concepts to encourage circular bio/economy practices. This review aimed to give a pre-overview of the state of the art regarding the main microorganisms employed in bioremediation processes and the different bioremediation approaches applied. Moreover, focus has been given to the implementation of bioremediation as a novel approach to agro-industrial waste management, highlighting how it is possible to reduce environmental pollution while still obtaining value-added products with commercial value, meeting the goals of a circular bioeconomy. The main drawbacks and challenges regarding the feasibility of bioremediation were also reported.
Automated Analysis of Left Ventricular Strain on Echocardiography.
Authors: Tulpule Shreeyash Shashank , Figueiredo Dwight
Published: August 2024

Artificial Intelligence (AI) approaches have the potential to maximize the diagnostic potential of echocardiography. It has been demonstrated that using AI to analyze left ventricular strain during stress echocardiography improves its ability to detect coronary artery disease (CAD). Echocardiography measures strain to evaluate myocardial function manually by using speckle tracking on echocardiography. Deep learning algorithms like AutoStrain and QLab in particular have shown significant capability in automating the complex process of strain analysis and providing quick and reliable evaluations that are more accurate to those provided by humans. This chapter aims to discuss AI's advancements with respect to strengths and weaknesses in evaluation of left ventricular strain.
The Role of AI in EMR (Electronic Medical Record) and Patient Privacy Enhancement
Authors: Bandekar Nutika Sudhir , Chaudhari Rajashri Pankaj , Yadav Yashaswini Deepesh , Figueiredo Dwight , Chunkhare Milind
Published: August 2024

The integration of AI into EMR systems is reshaping healthcare, offering potential improvements in patient care, clinical decision-making, and administrative processes. This chapter delves into AI's multifaceted role within EMRs and its significant impact on patient privacy. While AI streamlines data management as healthcare embraces digital record-keeping, it also raises concerns regarding data security, confidentiality, and ethical considerations. The chapter examines the intricate interplay between AI, EMRs, and patient privacy, highlighting both challenges and opportunities. EMRs are pivotal in modern healthcare, housing diverse patient data. To safeguard privacy, robust data encryption, strict access controls, and anonymization are essential. Ensuring the security of sensitive patient data is vital for successful AI implementation. Innovative technologies like blockchain and attribute-based access control offer promising solutions, yet the delicate balance between data privacy and utility remains a significant hurdle in the evolving field of AI-driven healthcare.
Applying Ecohydrology to Promote a Nature-Based Solution
Authors: Teodosio Maria Alexandra Anica , Faria Silvana , Baptista Vânia , Wolanski Eric
Published: August 2024

This chapter aims to develop an ecohydrological modelling approach to propose an environmental engineering solution based on historical nature-based information to alleviate the severe water degradation problem within Luanda Bay, Angola. This solution would improve local communities' ecosystem health and quality of life. The model suggests a simple and practical solution to solving the pollution problem by opening a cut from the bay's shallows to the sea. This will essentially reproduce an old bay opening to the sea, which was filled early in the last century. The residence time of water in the shallows of Luanda Bay would be reduced to about one week by excavating the channel over the land is straightforward. This should return the system to a more natural state and improve the water quality for recreational activities, increase the quality of marine food resources, reduce toxic algae blooms, and improve the quality of life of people in the area. Nevertheless, preventing pollutants from reaching Luanda Bay is the only long-term solution to restore a healthy environment in Luanda Bay
Sport Events' Strategic Multi-Leverage
Authors: Mascarenhas Margarida , Milhazes Édi , Martins Rute
Published: August 2024

Nazaré is internationally recognized as a big wave surfing destination. Combined with the media dynamics surrounding that phenomenon, the local government has pursued the strategy of promoting Nazaré as a prime location for beach sports. Subsequently, this research aimed to understand and stimulate the strategic leveraging process of a portfolio of beach soccer events hosted in 2021, in Nazaré, Portugal. The research strategy adopted the case study through an action-research approach. Although strategic goals and actions were implemented pointing to economic, social, environmental, sport, and political dimensions, the results showed that the long-term strategic economic objectives were the most pursued, allowing the image of Nazaré to be anchored to the worldwide phenomenon of big waves. To maximize the host community's benefits, greater attention must be paid to portfolio design and the integration of all local stakeholders representing the destination's areas which are intended to be strategically leveraged in different dimensions.
Complicated by Distance?
Authors: Wilkins Martha Ann
Published: August 2024

This reflective academic essay explores the complex dynamics of student resistance to culturally relevant and responsive teaching pedagogies amidst the challenges posed by the COVID-19 pandemic and distance learning in college classrooms. Through a nuanced exploration of personal experiences and observations, it highlights the difficulties encountered by both educators and students in cultivating inclusive learning environments during unprecedented circumstances. Moreover, the chapter further complicates this idea by exploring the perspective of an instructor of color.
Re-Stocking a Food Pantry at a Community College?
Authors: Hai-Jew Shalin
Published: August 2024

For the past three decades, food pantries have been an intermittent presence on college campuses; however, in the past decade or so, they have become more present, funded by universities, local food banks, and the occasional grant. For many colleges, food pantries exist with very soft and intermittent funds, if they are funded at all. Some are set up with one-off funds and thereafter exist under an unfunded mandate. This work explores the state of food pantries at institutions of higher education and shares a real-world case of pursuing grant funding for a local college food pantry.
The Nexus Between Modern Technology and Gender Equity in the Corporate World
Authors: Ts'ehlo Neo Jeanett
Published: August 2024

Technology has the capacity to overcome generation gaps, providing elderly people with previously unfathomable levels of information, communication, and connection. In the era of digitalization, innovation and economic expansion are significantly fueled by the tech sector. Women have historically been underrepresented in this important industry, and men have long controlled the sector. This chapter shows how technology is an engine for enhancing gender equity within the corporate environment. It compares the historical perspective of techno-world organizations with the modern techno-world perspective on organizations. It also shows the involvement of both genders in technology within organizations.
Safeguarding Data Privacy and Informed Consent
Authors: Dhar Souvik , Sarkar Utsa
Published: August 2024

This chapter explores the ethical challenges surrounding data privacy and informed consent in artificial intelligence (AI)-driven mental healthcare in India. The integration of AI technologies in mental health services offers potential for enhanced patient outcomes, but also raises significant ethical issues. Emphasizing patient autonomy and the protection of personal information, the chapter examines the complexities of informed consent and data privacy. It highlights the importance of transparent communication and robust regulatory frameworks to safeguard patient rights. By analysing key principles and the Digital Personal Data Protection Act 2023, the chapter provides insights into balancing technological advancements with ethical imperatives. It advocates for comprehensive ethical guidelines and collaborative efforts among stakeholders to foster a responsible and patient-centred AI-driven mental healthcare system. The chapter emphasizes the need for education on AI's impact, potential biases, and the significance of maintaining trust and accountability in patient care.
Unconventional Trademarks in the Pharmaceutical Sector
Authors: Yashasvi Vaishnavi , Singh Ruchir
Published: August 2024

In this chapter, an attempt has been made to understand the effects of non-traditional trademarks in the area of pharmaceutical products and issues of competition along with a normative case against the unconventional trademarks, further proceeding towards a discussion on inherently valuable freedom of expression and to assess why affording legal protection for non-traditional marks in this area may hamper access to medicine/health. In order to answer this question effectively, this chapter is divided into three parts: the first part explores the prevalence of non- traditional marks in the area of pharmaceuticals; the second part analyzes whether protection for non-traditional marks could pose impediments to access to medicine/health; and the last part ponders the issues of competition and freedom of expression with analytical approach.
The Qualitative Exploratory Study
Authors: Benbrahim Fatima Zahra , Frichi Youness , Benabdelhadi Abdelhay , Jawab Fouad
Published: August 2024

It is no longer to be demonstrated that research in management sciences is characterized by a paradox linked to the various choices that the researcher is required to make. These choices are closely related to the type of research and how it is conducted, and is based on a well-defined epistemology and methodology. An elucidation of these epistemological and methodological assumptions proves to be a necessity to assist researchers in controlling the research process and defining the process of knowledge construction. This chapter examines the epistemological foundations of research, focusing on realistic paradigms and the theory of knowledge. It also explores various methodological approaches. The attention, in this chapter, is particularly focused on the mixed methodological approach, which combines qualitative and quantitative methods. Through understanding these epistemological and methodological aspects, the researcher is better prepared to make choices, and consequently, to contextualize the research and critically evaluate its implications.
Balancing Qualitative and Quantitative Research Methods
Authors: Mrabti Laila , Alaoui Zouhair Belamfedel
Published: August 2024

This chapter examines the complementarity of qualitative and quantitative research methodologies, emphasizing their respective advantages for researchers. It underscores the importance of selecting appropriate methods to influence data collection, analysis, and conclusions. Qualitative methods, such as semi-structured interviews and case studies, are vital for understanding human experiences. Conversely, quantitative methods focus on statistical analysis to test hypotheses. The integration of these methods, known as mixed methods research (MMR), provides a comprehensive approach to studying phenomena. Various MMR models optimize this complementarity. Challenges and solutions like data triangulation are discussed. The chapter concludes that integrating these methods enriches research by combining contextual depth with generalizability.
The Power of Immersion
Authors: Mafhoum Imane Loulidi , Belmekki Nabil , Miloud Daoud
Published: August 2024

This chapter advocates for the distinctive role of ethnography in qualitative research. It contends that the immersive nature of ethnography provides valuable insights into human behavior and social dynamics, surpassing other research methods. Ethnography's strong theoretical foundation, combined with deep community involvement, allows researchers to access nuanced aspects of social life that are often left unsaid. The research challenges the simplified perception of ethnography as purely sociological and demonstrates its diverse applications across fields such as education and business. A case study from Morocco illustrates ethnography reveals employee experiences within private institutions by capturing authentic and context-specific data. Furthermore, this research acknowledges the ethical complexities associated with ethnographic work and emphasizes the importance of balancing subjectivity with rigor. Finally, it explores the future potential of integrating digital tools to enhance data collection and engagement in ethnographic research.
Application of Qualitative Data Collection Methods in Agricultural Science
Authors: Fernando Sanjaya , Yasas Lankapura Amila Ishara , Udagedara Githmi , Jayaneththi Harshani Upulika , Kumara Sagara Nelum
Published: August 2024

Agricultural science, merging positivist and interpretivist views, employs diverse methodologies. Though quantitative methods prevail, the integration of qualitative methods is vital for understanding complex agricultural issues. This chapter reviews qualitative data collection methods in agricultural research. A bibliometric analysis of 628 studies from Scopus, focusing on interviews, focus group discussions, observations, narratives, and surveys, reveals a steady increase in their use since 2005. A total of 413 journals published research using these methods. Key thematic areas are climate change, gender, food security, sustainability, and adaptability. Applying a combination of qualitative methods has enhanced the validity and reliability of research, thereby improving publication quality. The findings highlight the essential role of these methods in addressing complex agricultural issues and promoting a holistic approach for sustainable solutions.
External Factors Affecting the Wellbeing of Students in Higher Education Institutions
Authors: Odhiambo Janet Auma
Published: August 2024

The psychological well-being of students at the institutions of higher learning has been recorded by researchers as an area of concern. Students with poor mental health face a lot of challenges in their academic performance. This study explores the external factors affecting students' well-being at the institutions of higher learning. A descriptive research design within a mixed method approach is adopted. The study participants comprise University students, student leaders, University counsellors, dean of students, heads of departments, and university disciplinary committee. Interviews, questionnaires, and focus group discussions are instruments of data collection. The study aims at giving recommendations on friendly environments suitable for learner's well-being.
Blockchain and FEF-Based Lightweight Anonymous Authentication Protocol for Wireless Medical Sensor Networks
Authors: Wu Shu , Chen Jindou , Nie Xueli , Menhaj Waseef
Published: August 2024

Authentication ensures the privacy of patients by enabling access control within wireless medical sensor networks. However, many schemes do not consider the resource-constrained environments, making those protocols unusable. Meanwhile, sensitive patient information continues to be stored and accessed in a central location, increasing the risk of “single points of failure.” To solve this problem, the researchers designed a lightweight anonymous authentication protocol based on blockchain technology and fuzzy extraction. First, they created a multiround session key negotiation mechanism. Then, they utilized the fuzzy extraction function to extract and recover multimodal biometric features. Decentralization was achieved through blockchain and smart contracts. Simultaneously, the researchers also provided a formal security proof by Burrows-Abadi-Needham logic. Finally, experiments using the Java Pairing-Based Cryptography Library show that this scheme outperforms the comparison schemes in terms of computational overhead and communication overhead.
Key Determinants of Attitudes Towards E-HRM Adoption Behaviour; Special Reference
to Non-Executive Level Employees in Apparel Sector, Sri Lanka
Authors: Chandradasa A. H. Isuru , Priyashantha K. Gayan
Published: August 2024

To survive in today's business world, it is essential to adopt technologies for
every aspect of the businesses since in every filed of business identified that
technology as a most convenient way to perform task and duties compared to other
methods. However, in a developing country like Sri Lanka adopting these technologies to
perform their job tasks are limited due to the attitudes of users of its uses are not
positive as organizations expected. E-HRM as a part of the technology used by HR
departments of organizations supports for smooth functioning of HR-related works and due
to the advantages associated with E-HRM organizations intend to adopt E-HRM to their
organizations. Therefore, employees are supposed to use them to perform their HR tasks.
However, the lack of attitudes towards adopting E-HRM to perform their HR tasks is
identified as a critical issue in lower-level employees in an organizational context.
Therefore, this study aims to explore the determinants that derive employee positive
attitudes towards E-HRM systems. Most E-HRM adoption researchers focus on developed
contexts and there is a lack of studies in developing contexts. Thus, the
generalizability of the above study findings is difficult since the differences between
these two contexts. Usage of E-HRM success depends on the employee’s attitudes about the
E-HRM system and knowing their perspectives about the system before and after
implementing it is important. After reviewing the existing literature, independent
variables were identified, and a conceptual model was developed. A survey was
distributed by using a convenient sampling technique among machine operators of the ABC
Pvt Ltd in the Koggala industrial zone, Southern Province, Sri Lanka, and 200 responses
were gathered by exceeding the minimum sample size identified in the study. Data
analysis was done by using SPSS 23 version. Study results found that there is a positive
influence of selected five independent variables on the non-executive level employee’s
attitudes towards E-HRM adoption. Moreover, perceived ease of use and facilitating
conditions are identified as the most significant determinants that influence
non-executive level employees’ attitudes towards E-HRM adoption. These findings will be
beneficial to developing contexts where they have to compete in the global market, and
they have to improve the level of E-HRM adoption and usage. The research has contributed
to the body of knowledge in the E-HRM research by providing a greater understanding and
important insights into the determinants that affect the organizational adoption of
E-HRM within developing contexts.
Human Readiness Level Assessment of Aviation Sensor
Authors:   Collins Aerospace, Simms Christine , Wehrkamp Sarah
Published: August 2024

The Human Readiness Level (HRL) scale was applied to a high criticality, disruptive, prototype laser-based aviation sensor to evaluate its readiness for human use. Applying HRL to the laser-based aviation sensor accelerated risk identification and provided enough lead time to influence design. Specifically, a protective sensor cover prototype was implemented to address key safety issues. This success demonstrated that the HRL scale is invaluable and should be applied to other technologies.
Component Characterization of an eVTOL Reference Model for Crashworthiness Studies
Authors:   NASA Langley Research Center, Putnam Jacob , Littell Justin , Gardner Nathaniel , Mennu Matlock
Published: August 2024

Researchers at the National Aeronautics and Space Administration (NASA) Langley Research Center (LaRC) have conducted a series of structural component and seat level tests to improve finite element model (FEM) characterization of a representative vertical take-off and landing (eVTOL) test article developed by NASA. A full-scale dynamic test was conducted on the representative eVTOL test article in November of 2022. The test article represented a high wing, six passenger eVTOL design concept and is referred to as the lift plus cruise (LPC) test article. The full-scale test identified limitations in the analytical models used to predict aircraft structural response, in particular the composite material models did not effectively capture brittle failure of the structure which were measured during dynamic loading. To better understand the mechanism behind the composite material failure mechanisms observed and to improve the FEM, intact sample specimens of the composite airframe structure were recovered from the test article post-test and used in material characterization testing. In addition, the seat configurations used in the LPC test article were further studied using isolated seat and anthropomorphic test device (ATD) drop tower testing. Dynamic compression tests and three-point bend tests, conducted at varied impact speeds, were performed on the recovered frame section specimens. Additional testing was conducted to characterize the material properties of the forming foam, which remained in the frames after fabrication. These tests were used to improve characterization of the damage and failure parameters of the composite material model used in the FE model of the LPC test article. Seat level tests were conducted on the seats used in the LPC test article using acceleration pulses inclusive of current general aviation and rotorcraft certification load levels as well as conditions representative of those measured at the seat base during the LPC test. The structural material models and seat environment models of the LPC test article FEM were calibrated using the generated component test data. The updates made to these models were then integrated into the LPC FEM and simulated in the full-scale test condition. Results demonstrated the effectiveness of component testing to improve predictive capability of composite aerospace structural models within the crash and dynamic loading environments. Demonstration of the LPC FEM response across an accumulation of coupon, component, seat environment, and full-scale test levels provides confidence in the predictive capability of this model for future use in the study of occupant safety within eVTOL relevant crash environments.
Fluid Structure Interaction of Fuel Tanks and Airframe Structures During a Crash Event
Authors:   The Boeing Company, Bolukbasi Akif , Weisenburger Richard
Published: August 2024

This paper presents the results of a research and development (R&D) effort focused on fluid structure interactions between airframe structures and bladder type fuel tanks during a crash environment. During this R&D effort, fuel tank and surrounding structure crash impact tests were conducted using an innovative test configuration that allowed low-cost fabrication of test articles which represented several different design architectures. LS-DYNA models of the crash test article configurations were also developed and correlated with the tests data. Good correlation between the test data and LS-DYNA analysis results was achieved. The paper also includes recommendations for design of the airframe structures around the fuel tanks based on the fluid structure interaction insights gained from the crash tests and analyses.
Comparison of Pilot Workload between Integrated Reality In-Flight Simulation and Flight Test of Helicopter Landings on a Frigate
Authors:   National Research Council Canada, Comeau Perry , Wall Alanna , Law Andrew , Jennings Sion
Published: August 2024

The National Research Council of Canada (NRC) has recently developed an Integrated Reality In-flight Simulator (IRIS) that allows helicopter pilots to fly the NRC's Bell 412 Advanced Systems Research Aircraft (ASRA) while wearing a commercial off-the-shelf (COTS) virtual reality headset. IRIS is the first airborne simulator of its kind that combines COTS virtual reality and Fly-By-Wire (FBW) synthetic turbulence for helicopter operations. Simulations are not exact replications of actual environments; therefore, a methodology of comparing pilot workload with respect to an analysis of the differences between the simulated and actual environments is required. During a recent flight trial, NRC validated the effectiveness of IRIS to replicate a pilot's workload during ship landing tasks using these workload scales. During the analysis, NRC took initial steps in developing methodologies to examine environmental characteristics and then correlate them to an associated pilot workload. The work also included the initial development of methodologies to analyze pilot workload and alternative prediction methods that better map subjective or quantitative pilot workload data to DIPES.
Wind Tunnel Testing of Heavy Class Attack Helicopter in a Pressurized Wind Tunnel
Authors:   Turkish Aerospace, Gungor Osman , Kilic Muhammed , Caglar Ayberk , Ezertas Ahmet
Published: August 2024

Heavy class attack helicopter development program aims to develop a new generation assault helicopter with high weapon capacity and modern combat technologies. Design requirements lead to a complicated aerodynamic shape. Wind tunnel tests gain importance for validation of aerodynamic design decisions and methodologies. A short test campaign is planned in a high Reynolds number environment which is achieved through pressurization. Generation of aerodynamic characteristics, effect of under-wing stores, effectivity of tail surfaces and main rotor hub interactions construct the base of test plan. Tests are conducted under varying pressure and airspeed combinations starting from 1.1 Bar 100 m/s to 3 Bar 85 m/s. Test results are compared with CFD simulations as a part of validation studies. Reynolds Averaged Navier-Stokes Simulations provide satisfactory results. Improved results are obtained with high fidelity turbulence model, wall modeled very large eddy simulations.
Blue chromhidrosis: A rare and vibrant case report
Authors: Gorai Surajit , Kumari Jyoti , Das Kinnor
Published: August 2024

Chromhidrosis is an uncommon sweat gland condition characterized by the emission of colored perspiration. The three kinds of chromhidrosis are apocrine chromhidrosis, eccrine chromhidrosis, and pseudochromhidrosis. Therapy is usually not required for chromhidrosis. We present a case of blue chromhidrosis. Blue chromhidrosis has not been documented in Indian literature in the recent few decades, to the best of our knowledge.
A Quantitative Assessment of Apoptotic Index with Varying Histological Degree of Dysplasia and Squamous Cell Carcinoma of Oral Cavity - A Light Microscopic Study
Authors: Saxena Chitrapriya , Wadhwan Vijay , Kumar Vijay , Singh Aparna , Anand Siddharth , Ahmad Asib
Published: August 2024

Aim and Objective:

The aim of the present study was to quantitatively assess the apoptotic index at a light microscopic level in hyperkeratosis with varying histological degrees of dysplasia and different grades of oral squamous cell carcinoma (OSCC) and its correlation with prognostic significance.

Study Design:

The study included the histo-pathologically diagnosed cases of hyperkeratosis with varying degrees of dysplasia and different grades of OSCC, which were retrieved from the archives of the department, and clinical details were retrieved from the case records of the patients. The sample size consisted of 80 biopsied cases, divided into seven groups of 10 experimental cases and one group of 10 cases of normal mucosa as a control group.

Results:

The age range of 50-59 shows maximum patients of hyperkeratosis with varying degrees of dysplasia and OSCC. Maximum apoptotic bodies were seen in cases of severe dysplasia and well-differentiated cases of OSCC. There was an observational difference noticed in apoptotic bodies between the patients who had less than 1-year disease-free survival rate.

Conclusions:

The apoptotic cells are being seen using routine light microscopy techniques with hematoxylin and eosin staining. In different grades of squamous cell carcinoma, a decrease in the apoptotic count was noticed from well-differentiated squamous cell carcinoma toward poorly differentiated squamous cell carcinoma cases. Increased mean apoptotic bodies were observed in patients showing less than 1 year of survival.
LSTM-BIGRU based Spectrum Sensing for Cognitive Radio
Authors: Vijay E. Vargil , Aparna K.
Published: August 2024

There is a shortage of wireless spectrum due to developments in the area of wireless communications as well as the number of users that are using resources. Spectrum sensing is a method that solves the issue of shortage. Deep learning surpasses classical methods in spectrum sensing by enabling autonomous feature learning, which enables the adaptive identification of complicated patterns in radio frequency data for cognitive radio in wireless sensor networks. This innovation increases the system's capacity to manage dynamic, real-time circumstances, resulting in increased accuracy over traditional approaches. Spectrum sensing (SS) using LSTM-BIGRU with gaussian noise has been suggested in this article. Long-term dependencies in sequential data are well- preserved by LSTM due to its dedicated memory cells. In addressing and man- aging long-term dependencies in sequential data, BIGRU's integration enhances the efficacy of the model as a whole. To conduct the investigation, RadioML2016.04C.multisnr open-source dataset was utilized. Whereas, by using RadioML2016.10b open-source dataset, QAM64, QPSK and QAM16 performance evaluation has been investigated. The experimental findings demonstrate that the suggested Spectrum Sensing has better accuracy on the dataset particularly at lower SNRs. The improved spectrum sensing (SS) performance of our suggested model is shown by the evaluation of performance indicators, such as the F1 Score, CKC and Matthew's correlation coefficient, highlighting its potency in the field of spectrum sensing applications.
The African Journal Partnership Program’s Guidance on Use of AI in Scholarly Publishing
Authors: Wright Caradee Y. , Lartey Margaret , Khomsi Kenza , Peres Frederico , Yilma Daniel , Kigera James , Flanagin Annette , Gbakima Ahia , Ofori-Adjei David , Ernest Sumaili Kiswaya , Sidibe Siaka , Togo Adegne , Muula Adamson S. , Jansen Stefan , Njunwa Kato
Published: August 2024

No Abstract
Seventh Annual Research Meeting of the Noguchi Memorial Institute for Medical Research, University of Ghana
Authors: F. Ofori Michael , A. Kusi Kwadwo , Quaye Charles , K. de Souza Dziedzom , Yeboah-Manu Dorothy
Published: August 2024

The Noguchi Memorial Institute for Medical Research (NMIMR) is a semi-autonomous institute of the University of Ghana.1 It was established in 1979 by the Government of Japan and donated to the Government and the people of Ghana in memory of Dr. Hideyo Noguchi, the famous Japanese scientist who succumbed to yellow fever, a disease he was researching in Ghana in 1928. The NMIMR is the premier biomedical research institution in the country and a biomedical research centre of excellence in Africa. Its mandate is to conduct research into diseases of public health importance, train postgraduate students in biomedical sciences and support the public health programmes of the Ministry of Health and Ghana Health Service. As such, the NMIMR plays a crucial role in ensuring the health and safety of the Ghanaian population and contributes to disease surveillance and policy.
Seventh Annual Research Meeting of the Noguchi Memorial Institute for Medical Research: Malaria Control and Elimination
Authors: Abuaku Benjamin , K. de Souza Dziedzom , Kyei-Baafour Eric , A. Kusi Kwadwo , Ofori Michael , Yeboah-Manu Dorothy
Published: August 2024

Malaria is a leading cause of mortality in Ghana, especially among children under five and pregnant women. The Noguchi Memorial Institute for Medical Research (NMIMR) has collaborated with the National Malaria Elimination Programme (NMEP) to meet control and elimination targets. The seventh Annual Research Meeting (ARM) of the NMIMR highlighted the institute's decades-long contributions to malaria control in Ghana. Topics discussed included NMIMR's malaria research and its policy impacts, noting the Institute's support for public health programs that have shaped malaria policies in epidemiology, diagnosis, treatment, and prevention – including vector control. NMIMR continues to generate scientific data to support Ghana's malaria elimination efforts.
Seventh Annual Research Meeting of the Noguchi Memorial Institute for Medical Research: Non-Communicable Diseases
Authors: A. Kusi Kwadwo , Kumi Justice , Agbemelo-Tsomafo Constance , K. de Souza Dziedzom , Ofori Michael , Yeboah-Manu Dorothy
Published: August 2024

Non-communicable diseases (NCDs) result from lifestyle and genetic factors and are not infectious. They include cardiovascular diseases, diabetes, obesity, cancers, mental illnesses, and chronic respiratory, liver, and kidney diseases. NCDs account for 74% of global deaths, predominantly in low- and middle-income countries, with a significant rise in sub-Saharan Africa, including Ghana. The interplay between infectious diseases and NCDs, which can alter disease outcomes, requires urgent attention. At the seventh Annual Research Meeting (ARM) of the Noguchi Memorial Institute for Medical Research (NMIMR), presentations highlighted the impact of infectious diseases on NCDs, underscoring the need for integrated approaches to manage NCDs and infectious diseases. The presentations also emphasised early detection, treatment, and the need for novel therapeutic strategies.