bluuebunny/crossref_metadata_2025 huggingface dataset:
An Analysis of Air Conditioning System Operation Patterns on Droplet Particle Distribution in a Classroom-A CFD Approach
Authors: Hakim Luthfi , Widodo Wawan Aries , Dwiyantoro Bambang Arip , Sutardi  , Anton Nugroho  , Zain Lillahulhaq
Published: November 2024

In the classroom context, the transmission of pathogens among students is a significant concern. Therefore, it is important to determine appropriate airflow patterns, the placement of supply and exhaust ventilation, and the optimization of classroom design to reduce the risk of pathogen transmission. This research aims to determine the performance of two air conditioning (AC) operating patterns—low speed and high speed—in six scenarios involving window and door configurations and identify the most effective strategies for minimizing virus exposure to occupants in classrooms. The method used in this research is numerical simulation with the 3D unsteady k-ε RNG model to simulate air flow and the Eulerian-Lagrange approach to capture the movement of SARS-CoV-2 aerosol droplets. The results of this research show that of the six scenarios determined by the researchers, the low-speed AC operating pattern with an incoming air speed of 3.5 m/s occurs in scenario 5, that is, all windows open and doors closed. This is based on the lowest number of students exposed to the virus, which is 22.22%. Meanwhile, the high-speed AC operating pattern with an incoming air speed of 6 m/s occurs in scenario 2, that is, all windows closed and doors open. This is based on the lowest number of students exposed to the virus, which is 22.22%, so it can be concluded that increasing the air flow speed originating from the AC will speed up the droplets to leave the room through the outlet. Meanwhile, increasing the outlet capacity will shorten the particle path, thereby shortening the time when the droplets are in the classroom.
Numerical Simulation of Droplet Coalescence Using Meshless Radial Basis Function and Domain Decomposition Method
Authors: Budiana Eko Prasetya , Pranowo Pranowo , Harsito Catur , Tjahjana Dominicus Danardono Dwi Prija , Hadi Syamsul
Published: November 2024

The present investigation of the dynamic two-binary droplet interactions has gained attention since its use to expand and improve several numerical methods. Generally, its interactions are classified into coalescence, bouncing, reflective, and stretching separation. This study simulated droplet coalescence using the meshless radial basis function (RBF) method. These methods are used to solve the Navier-Stokes equations combined with the Cahn-Hilliard equations to track the interface between two fluids. This work uses the fractional step method to calculate the pressure-velocity coupling in the Navier-Stokes equations. The numerical results were compared with the available data in the literature to validate the proposed method. Based on the validation, the proposed method conforms well with the literature. To identify further coalescence characteristics, the model considered different values in viscosity (2, 4, and 8 cP), collision velocity (1.5 m/s and 3 m/s), and surface tension (0.014, 0.028, and 0.056 N/m) parameters. The increasing viscosity was linearly proportional to the collision time, whereas increased surface tension and collision velocity shortened the collision time.
The Synergy of Leadership and Team Effectiveness: An Empirical Study at Islamic University's Non-Profit Organization
Authors: Mohiuddin Md. Golam , Hossain Bhuiya Md. Jobaer , Hossain Sazzad , Tanima Tasnim Mst. , Hossain Md. Tuhin
Published: November 2024

This research paper investigates the dynamics between team leaders and effectiveness within non-profit organizations at the Islamic University, Bangladesh. By examining five distinct types of organizations—voluntary organizations, cricket clubs, football clubs, journalist associations, and band clubs—we aim to uncover patterns that elucidate how leadership influences team performance. Our primary hypothesis posits that the relationship between team leaders and team effectiveness is systematic rather than random. We operationalize this hypothesis through six dimensions: purpose and goals, roles, team process, team relationships, problem-solving, and skills and learning. Utilizing a structured questionnaire with 30 items, we assess these dimensions and analyze their interrelationships. The study employs both descriptive statistics and correlation analysis to validate our findings, which reveal significant correlations among the dimensions of team effectiveness.
Balancing Supply Chain Ambidexterity and Performance: The Impact of Firm Innovation in Selected Manufacturing Companies in the Greater Accra Region of Ghana
Authors: Owusu-Ansah Felix , Obiri-Yeboah Kwabena
Published: November 2024

This study explored the relationship between supply chain ambidexterity, firm innovation, and supply chain performance among 161 manufacturing firms in Ghana. The main focus was to understand how firm innovation affects the link between ambidexterity and performance. Key findings include: (1) supply chain ambidexterity alone did not significantly impact performance, contradicting assumptions; (2) firm innovation capabilities, surprisingly, had a negative effect on performance, suggesting a need for better innovation alignment; and (3) innovation positively moderated the relationship between ambidexterity and performance, showing that combining innovation with ambidexterity can improve outcomes. Recommendations for managers emphasize the importance of aligning innovation strategies with supply chain goals and balancing exploration and exploitation activities. Future research should consider long-term studies, multi-region comparisons, and diverse data sources to increase validity. Overall, the study refines the understanding of how innovation and ambidexterity interact to enhance supply chain performance.
Fetal Health Classification and Birth Weight Estimation Using Machine Learning
Authors: R Hegde Shreeya , S Sinchana , P Nadgir Supriya , R Jagirdar Vinamratha
Published: November 2024

This paper addresses fetal health prediction via Cardiotocography (CTG) data analysis, utilizing models like Logistic Regression, SVM, and boosting algorithms. Feature selection methods such as PCA and LDA are employed, along with SMOTE for dataset balancing. CatBoost model emerges as superior with 99% accuracy. Fetal weight prediction remains challenging, tackled through machine learning algorithms incorporating parameters like gestational period and maternal factors. Models like Random Forest and Adaboost are employed, with RMSE analysis guiding their combination for improved prediction accuracy. Overall, the paper emphasizes leveraging ML for fetal health classification and birth weight prediction.
VeTAPRH: A Taxonomic Assignment Protocol for Vertebrates Applied to eDNA Metabarcoding Data, Including Molecular, Taxonomic and Ecological Criteria
Authors: Haderlé Rachel , Ung Visotheary , Jung Jean-Luc
Published: November 2024

Exploring biodiversity requires meticulous species identification within specific environments. Environmental DNA (eDNA) refers to DNA extracted from environmental samples (Taberlet et al. 2018). Using metabarcoding with eDNA enables detailed taxonomic inventories (Valentini et al. 2009, Haderlé et al. 2024). After sample collection, DNA is extracted, the targeted barcode is amplified, and obtained amplicons are sequenced, producing millions of sequences. Bioinformatics processing is then a particularly important step in the analysis used to clean, structure sequences and complete taxonomic assignments. However, computerized protocols face limitations, including taxonomic misidentifications due to intraspecific variation, such as in the Delphininae (Alfonsi et al. 2013), or incomplete reference databases (e.g. Hleap et al. 2021, Meglécz 2023). Relying on custom databases may help but can miss unexpected taxa range shifts (Gold et al. 2021, Jung et al. 2016). Including ecological data (Coissac et al. 2012, Deiner et al. 2017, Blackman et al. 2023) or integrating multiple databases (Bourret et al. 2023) enhances accuracy, and expert validation remains essential (Clarke et al. 2017, Porter and Hajibabaei 2018).

Our study aims to develop a taxonomic assignment protocol for vertebrate Molecular Operational Taxonomic Units (MOTUs)/Amplicon Sequence Variants (ASVs), called VeTAPRH (Vertebrates Taxonomic Assignment Protocol), to verify automated assignments from metabarcoding pipelines. This protocol generates successive species lists, first built on the basis of molecularly similar taxa, then successively refined on the basis of taxonomic data and plausibility of local distribution, compiled from specialized databases. By cross-referencing these criteria, we establish a list of hypothetical taxa for each MOTU, including those absent from reference databases. Initially presented as a flowchart, this protocol will lay the groundwork for a digital tool to support taxonomists.
Intelligent System Based on Round Robin and Genetic Algorithm for Managing Nurse Schedules in Health Centres in Peru
Authors: Vallejos Dana , Villalobos Katerin , Castillo-Sequera José Luis , Wong Lenis
Published: November 2024

The inefficient assignment of nurse shifts poses a significant problem for medical centres due to stringent constraints and preferences, such as staffing requirements and hospital needs. In this study, we address these challenges by applying an improved hybrid algorithm that combines the Round Robin (RR) and Genetic Algorithms (GA) to develop an intelligent system for managing nurse schedules in hospitals in Peru. The development of the system consists of seven phases: dataset definition, variable definition, constraint definition, applying RR algorithm, applying GA, evaluation of algorithms, and intelligent system architecture. Nurse schedule records from a medical centre in Peru were used as the dataset. A total of 53 individuals, including head nurses and nurses, participated in the proposed system. The use of the proposed system resulted in a 99.71% reduction in “execution time” and a 30.08% improvement in “fairness in shift distribution” for nurses compared to previous methods. The key findings demonstrate significant improvements in both efficiency and fairness, highlighting the potential for future applications in health centres. The unique contributions of this research lie in the enhanced hybrid algorithm and its successful implementation in a real-world medical centre in Peru.
An Opening-Snap Heart Sound-Aware DGMC-L1,2-Based Multi-Heart Disease Prediction Using ECG and PCG
Authors: Damineni Dakshayani Himabindu , CH. Srilakshmi , Jakkula Sravanthi , B. Sivalakshmi , Mirtipati Satish Kumar , Yavanamandha Prasanthi
Published: November 2024

Recently, multi-heart disease diagnosis has become a popular research domain. Yet the traditional systems were ineffective due to the limited signal-processing approaches. Therefore, a deep generalized extreme value mish convolutional neural network with L1,2 regularization (DGMC-L1,2)-based multi-heart disease classification is implemented in this paper using electrocardiogram (ECG) and phonocardiogram (PCG). Primarily, the ECG and PCG are gathered and then preprocessed. After preprocessing, the peak waves are identified using the discrete cross-wavelet transform (DCWT). In the same way, the Osborn wave (OW) and opening snap (OS) are predicted from the ECG and PCG, respectively, using fuzzy exponential-decay-riseton inference system (FEDRIS), followed by wave interval segmentation. Furthermore, the dendrogram with a scatter plot is generated, and then the features are extracted. In addition, the peak localized ECG and PCG are fused together. Subsequently, the subsequent derivatives are estimated, and then a bivariate correlation matrix is created. Then, the feature extraction is done, followed by dimensionality reduction. Here, the dimensionalities of the features are reduced using log-linear scaling2—Principal Component Analysis (LS2-PCA) and then fed into the proposed DGMC-L1,2, which effectively predicts multi-heart diseases. Thus, the experimental results proved that the proposed work had high supremacy with an accuracy of 98.99%.
Linking Digital Technology, Omics and Education to Facilitate Global Equity
Authors: Crabbe M. James C. , Yue Gabriel Xiao-Guang
Published: November 2024

There are many challenges, not least health inequities, global warming, and a rush for growth and economic development. Personalized, precision, and preventative medicine, bringing the latest omics techniques—genomics, transcriptomics, and metabolomics—for individuals allied to personalized prescription and care should help health equity. Digital technologies and artificial intelligence (AI) can help in an understanding of disease processes and in drug development. A holistic approach to the relationship between technology and the environment and clarity about both the positive benefits and negative harms resulting from using digital tools is necessary. We need to focus on the complete human-environmental interface and not just on climate change and carbon. It will be a measure of collaborative civilization if digital technology, omics techniques, and education can be used to promote global equity. Education linking diversities and performance throughout the world will be crucial.
Convolution of periodic multiplicative functions and the divisor problem
Authors: Aymone Marco , Maiti Gopal , Ramaré Olivier , Srivastav Priyamvad
Published: November 2024

We study a certain class of arithmetic functions that appeared in Klurman’s classification of

$\pm 1$

multiplicative functions with bounded partial sums; c.f., Comp. Math. 153(2017), 2017, no. 8, 1622–1657. These functions are periodic and

$1$

-pretentious. We prove that if

$f_1$

and

$f_2$

belong to this class, then

$\sum _{n\leq x}(f_1\ast f_2)(n)=\Omega (x^{1/4})$

. This confirms a conjecture by the first author. As a byproduct of our proof, we studied the correlation between

$\Delta (x)$

and

$\Delta (\theta x)$

, where

$\theta $

is a fixed real number. We prove that there is a nontrivial correlation when

$\theta $

is rational, and a decorrelation when

$\theta $

is irrational. Moreover, if

$\theta $

has a finite irrationality measure, then we can make it quantitative this decorrelation in terms of this measure.
Domain branching in micromagnetism: Scaling law for the global and local energies
Authors: Ried Tobias , Román Carlos
Published: November 2024

We study the occurrence of
domain branching
in a class of

(d+1)

-dimensional sharp interface models featuring the competition between an interfacial energy and a non-local field energy. Our motivation comes from branching in uniaxial ferromagnets corresponding to

d=2

, but our result also covers twinning in shape-memory alloys near an austenite-twinned-martensite interface (corresponding to

d=1

, thereby recovering a result of Conti [Comm. Pure Appl. Math. 53 (2000), 1448-1474]).We prove that the energy density of a minimising configuration in a large cuboid domain

Q_{L,T}=[-L,L]^{d}\times [0,T]

scales like

T^{-2/3}

(irrespective of the dimension

d

) if

L\gg T^{2/3}

. While this already provides a lot of insight into the nature of minimisers, it does not characterise their behaviour close to the top and bottom boundaries of the sample, i.e., in the region where the branching is concentrated. More significantly, we show that minimisers exhibit a self-similar behaviour near the top and bottom boundaries in a statistical sense through local energy bounds: for any minimiser in

Q_{L,T}

, the energy density in a small cuboid

Q_{\ell,t}

centred at the top or bottom boundaries of the sample, with side lengths

\ell \gg t^{2/3}

, satisfies the same scaling law, that is, it is of order

t^{-2/3}

.
ANALYSIS OF THE SYSTEM FOR ACTIVE VIBRATION REDUCTION DURING WHEEL LOADER MOVEMENT
Authors:   University of Niš, Faculty of Mechanical Engineering, Niš, Serbia, Pavlović Jovan , Janošević Dragoslav ,   University of Niš, Faculty of Mechanical Engineering, Niš, Serbia, Jovanović Vesna ,   University of Niš, Faculty of Mechanical Engineering, Niš, Serbia
Published: November 2024

Wheel loaders are mobile machines where vibrations occur during transport of loaded material. One common cause is an imbalance in the load being carried, especially when the load is unevenly distributed in the bucket, when the center of gravity shifts. Paper presents the concepts of hydrostatic systems for vibration regulation of the wheel loaders during transport of loaded material in working cycle of the machine. The motion regulation is based on the ability to change the volume of the hydraulic oil in the hoses and in hydro-cylinders for manipulation of the wheel loader’s arm. Whereby, hydro-cylinders of arm are acts as a „hydraulic spring“, whose dynamic characteristics is changing by the change of hydraulic oil volume thus stabilizing the movement of the machine.
The Structure of Inflammatory and Destructive Complications after Dental Implantation (literature review)
Authors: Khanbikov Bulat N.
Published: November 2024

In modern dental practice, innovative dental implantation technologies are often used, which allow prosthetics of teeth even in their complete absence. At the same time, it is important and especially relevant to reduce the number of complications after dental implantation. The purpose of the review is to analyze and summarize the results of studies devoted to the assessment of the structure of possible main inflammatory-destructive postimplantation pathological changes in the tissues of the dentofacial system and factors contributing to the occurrence of complications after dental implantation. For the analysis, the available results of research by domestic and foreign scientists, published mainly over the past 10 years, were used, which assess the main common complications of dental implantation. The search for sources was carried out in such databases as RSCI, eLIBRARY.RU PubMed, Embase. The study of publications on the topic of the literature review made it possible to identify the main etiological factors in the development of inflammatory and destructive complications that are possible at different stages of dental implantation. The additional information obtained about the structure of the main inflammatory-destructive postimplantation pathological changes in the tissues surrounding the implant can become the basis for preventing complications in the early and remote periods after implantation, and can also contribute to improving the quality of life of patients.
Job Performance Based on the Job Demands-Resources Model (JD-R): Differences in Physicians’ Performance Before and During COVID-19 Pandemics
Authors:   University of Bucharest, Adam Andreea Raluca , Golu Florinda ,   University of Bucharest
Published: November 2024

The present study aims to investigate the extent to which demands and resources at work affect the job performance of doctors and the extent to which there may be other variables such as family support and job crafting that may be associated to job performance. We also aim to observe the effects of the Covid-19 pandemic in the physicians' job performance. A numaber of 227 physicians from public clinics and hospitals completed a set of questionnaires measuring job performance, job crafting, and family support. Of these, 123 participated in the study during the Covid-19 pandemic, and the remaining 104 before the pandemic. The results show that the job demandsresources model predicts the physicians’ performance and job crafting is a significant mediator of this relationship. Contrary to our expectations, family support does not moderate the relationship between demands, resources and job performance. The comparison between groups showed higher levels of work pressure, emotional demands and constraints for the physicians assessed pre-pandemic and also for feedback, social support, feedback from supervisors, and development opportunities for the physicians assessed during the pandemic. Unsignificant differences were found in job performance and job crafting. This study brings a new perspective on the JD-R model by introducing a new moderator in the relationship between demands, resources, job crafting and job performance, providing additional understanding of the model by investigating differences between pre- and pandemic groups.
Investigating the Relationship between Leadership Styles and Organizational Performance in Higher Education
Authors: Tembo Chipozya , Tabalasa Karen , Muleya Franco
Published: November 2024

Purpose: This research aimed to uncover the role of leadership style in the performance of higher education institutions (H.E.I.s) in Zambia.
Methodology: The study utilized a positivist philosophy and collected data randomly and using a census from various University leadership cross sectionally. Using ninety-seven self-administered questionnaires where sixty-nine questionnaires were collected representing a response rate of 71.11%. The data was analyzed using descriptive and inferential statistics to explain the Performance of H.E.I.s and uncover the relationship between performance and leadership style.
Findings: The most utilized leadership styles in H.E.I.s are transactional and transformational. Laissez-faire leadership was rarely used, with a higher utility in public universities where this mode of leadership was significantly correlated with research. The order of performance in descending order in H.E.I.s is teaching, size, prestige, impact, internationalization, and research. As mentioned earlier, inspirational motivation and contingent reward had weak to moderate significant positive correlation with performance.
Unique Contribution to Theory, Practice and Policy: The research only focused on leadership style as a predictor of performance. Additionally, the research cannot be generalized as few Universities, both private and public, were part of the target population. The leaders in public and private universities should focus on inspirational motivation and contingent reward aspects of transactional and transformational leadership to improve underperforming performance areas, except for prestige in improving performance. This will increase the number of enrollment of students.
GLOBALISASI DAN PEMBANGUNAN STATE-CENTRIC NEGARA BERKEMBANG
Authors: Farid Miftah , Muhammad Fadil , Syuryansyah Syuryansyah
Published: November 2024

This paper aims to look at the strategies of developing countries in carrying out development amidst the phenomenon of globalization. The neoliberalism system that dominates the development model of developed countries is considered less relevant to the development aspects of developing countries. This paper used  the Development State theory. The method used is qualitative descriptive and comparative studies between Venezuela and South Korea. Within this, the author sees that Venezuela and South Korea have similarities and differences in their country's development strategies. The similarities are, restoring the role of the state as a control over the emergence of non-state actors in the era of globalization. Meanwhile, the differences include aspects of state intervention in the market. Venezuela fully intervenes in aspects of economic development in its country. Meanwhile, South Korea limutedly intervenes in certain aspects of its country's economic development. This shows that the role of the state in the economic development of developing countries is needed, especially in directing independent development.
INDONESIA’S INTERNATIONAL COOPERATION EFFORT TO MAINTAINING FOOD SECURITY DURING THE COVID-19 PANDEMIC
Authors: Aryodiguno Harryanto , Putri Putu Deniar Sekar
Published: November 2024

Food is a crucial thing that underlies the needs of every human being. Each state has an ambition to prioritize food security by ensuring food availability for the whole community. However, during the Covid-19 outbreak, states were struggling to maintain food security and avoid food insecurity. The Covid-19 pandemic has had impacts on food security due to supply chain disruption and the decline in people's purchasing power because of the economic downturn. To overcome this, the Indonesian government has determined various strategies, one of which is establishing international cooperation with other countries. Due to only few articles discuss the cooperation that Indonesia has established to fulfill and maintain the food security during the pandemic. Furthermore, this article will use qualitative methods with analyzing occurring and secondary data to analyze the Indonesian government's efforts to maintain food security stability.
Pioneering Sustainable Waste Solutions for Environmental Stewardship
Authors: Shittu Omolara
Published: November 2024

Waste management is becoming one of the key focuses to solve the global climate change challenge. Many developing nations as well as civil society organizations are not taking the bull by the horns to pioneer waste management. This paper aims to examine the necessity of pioneering sustainable waste solutions by environmental and renewable energy experts, organisations and governments in transforming waste management practices. It advocates further the role of experts and practical activities required to maintain a clean and healthy environment through waste management. The paper adopts the doctrinal research method and analytical approach to appraise the significant impact of waste management on environmental sustainability and public health. This paper further explores her achievements, the benefits of waste management solutions and its potential to inspire change in the waste management industry. The paper makes useful recommendations to environmentalists, academia and stakeholders in energy and environmental sustainability.
The Factors Affecting Whistleblowing Intention in Combating Fraud
Authors: Yusoff Yusri Hazrol , Suhaimi Dayang Emira Camellia , Shafei Nurliyana Mohd , Zafarin Tasnim Khadijah , Hassan Razinah
Published: November 2024

Concerns about the ethics of the accounting profession have been highlighted by global corporate scandals. Future auditors and accountants, who are responsible for maintaining public trust, are accounting students. In the accounting industry, whistleblowing plays a critical role in identifying and stopping fraud. Therefore, this study looks into what motivates Malaysian undergraduates studying accounting to come forward with whistleblowing intentions in combating fraud by applying the Moral Intensity Model, the study explores how the magnitude of consequences, social consensus, and proximity effect whistleblowing intention and fear of retaliation. The purpose of this study was to overcome Malaysia’s academic research gap on whistleblowing and, more, to enhance the tertiary education system’s ethical coverage. Also, this paper comes out with recommendations and guidance in handling wrongdoing concerns. As results, this recommendation may help policy makers to improvise a new policy to prevent Malaysia financial systems from fraud sources.
Does Microfinance Participation Affect Food Insecurity? An Empirical Evidence from Fish Farmers in Osun State, Nigeria.
Authors: OLARINRE Abiola Adebunmi , OLADEEBO Job Olatunji , AJALA Adedolapo Kemi , JABARU Muritala Oyedele , Adio Matthew Olufemi
Published: November 2024

Nigeria at the moment is currently experiencing a surge in prices of food items with inflation on the rise. Although food insecurity affects the entire world, it is more severe in developing countries; hence, the need to examine the impact of Microfinance Participation on food insecurity among fish farming households in Osun State, Nigeria. A total of 284 respondents who are into fish farming were used for this study. Household food insecurity access scale (HFIAS) and Recursive Bivariate Probit Regression Model were used for the analysis and the impact study. The findings from this research established that most of the fish farming households were food insecured (86.6%) while only a few were food secured (13.4%). Age, years of education, household size, pond size, farming as major occupation and fish farming experience significantly influenced microfinance participation. Conclusively, microfinance participation is established to reduce food insecurity among fish farmers in Osun State, Nigeria. It is recommended therefore, that there should be establishment of more microfinance institutions which will be strictly for fish farmers so as to reduce their food insecurity status and other fish farmers who are not into microfinance participation be encouraged to do so through effective extension agent services.
ESTUDO DE PROTÓTIPO DE ENERGIA EÓLICA EM RODOVIAS
Authors: Solcia Mario Miguel , Lessa Carmen Lúcia Avelar
Published: November 2024

A energia eólica é hoje um amplo campo de estudo, por se tratar de uma fonte de energia renovável, infinita e sustentável, podendo ser aplicada em diversos locais e de formas distintas, este estudo propõe a análise de um protótipo de turbinas eólicas instaladas em rodovias, utilizando hélices de eixo vertical para capturar o vento gerado pelo tráfego de veículos. A implementação dessa fonte de energia em rodovias pode transformar o fluxo de ar criado pelos automóveis em eletricidade. O protótipo desenvolvido foi testado em uma maquete, demonstrando a viabilidade e a funcionalidade de converter a energia cinética do vento gerado pelo tráfego nas pistas em energia elétrica. Os resultados indicam que a instalação de turbinas eólicas ao longo das rodovias pode gerar uma quantidade significativa de energia, principalmente em áreas com alto volume de tráfego, contribuindo para a sustentabilidade ambiental e a redução da dependência energias não renováveis e poluentes. Este artigo abre caminho para futuras pesquisas sobre a eficiência das turbinas de eixo vertical para rodovias em diferentes condições climáticas e o impacto econômico de sua implementação.
Dura Mater Substitutes in Neurosurgery: A Review
Authors: Fauza Joandre , Al Fauzi Asra , Suroto Heri , Parenrengi Muhammad Arifin , Suryaningtyas Wihasto , Widiyanti Prihartini , Suroto Nur Setiawan , Thamrin Ahmad Muslim Hidayat , Utomo Budi , Wahid Billy Dema Justia , Bella Fitria Renata , Firda Yurituna
Published: November 2024

The outer layer of the meninges, known as duramater plays a critical role in protecting the brain. In cases where it is damaged due to head trauma or surgery there can be a risk of leakage that may have life threatening consequences. While suturing to repair the mater is not always feasible due to the potential for further leakage finding biomaterials capable of replacing the damaged dura becomes essential. During the 19th century initial attempts at using synthetic materials for dural replacement faced challenges as they were rejected by the immune system. However researchers have made progress by developing materials such as collagen based xenografts that undergo treatments to prevent adverse reactions. This review focuses on types of dural replacement materials, like autografts, allografts, xenografts and synthetics. It sheds light on efforts to find an ideal neurosurgical dural replacement material while also discussing associated challenges.
The Effect of Product Placement in Movies on Brand Recall: A Meta-Analysis
Authors: Rose M Preethy , Shanthi R
Published: November 2024

Product Placement is a concept in marketing, where brands are incorporated into movies to avoid breaks that are usual in traditional advertisements. This is aimed at making a brand more visible and also to enhance its ability to reach the target audience effectively. Evaluating the effectiveness of product placement in improving brand recall in movies is the primary goal of the research. A comprehensive meta-analysis was carried out using SPSS version 29 and Jamovi to ascertain this impact. The findings obtained through the Random-Effect Model analysis yielded the outcome of the heterogeneity test. In this study, the data from thirteen relevant studies reported a positive effect of Product Placement on Brand recall. The effect size was determined using Cohen's d. Consequently, the results revealed that Product Placement significantly boosts Brand recall suggesting it is a strong marketing approach. The results underline the power of Product Placement to influence consumer behaviour, thus indicating the efficacy of incorporating brands within the content of movies. Therefore, Product Placement is a more interactive and non-intrusive way to reach audiences, thus proving effective as a strategic marketing technique. These findings further confirm the efficacy of Product Placement in creating higher brand recall, thus validating this approach as useful in Movie marketing.
A Systematic Review of AI Based Software Test Case Optimization
Authors: Padmanabhan Mani
Published: November 2024

Software test case optimization for real-time systems is a vulnerability detection methodology that assesses the resilience of targeted programs by subjecting them to irregular input data. As the volume, size, and intricacy of software continue to escalate, conventional manual test case generation has encountered challenges like insufficient logical coverage, minimal automation levels, and inadequate test scenarios. These difficulties underscore the need for innovative approaches that maximize software dependability and performance. An artificial intelligence powered fuzzing technique, which exhibits remarkable proficiency in data analysis and classification prediction. This paper examines the recent advancements in fuzzing research and conducts a comprehensive review of artificial intelligence driven fuzzing approaches in software test cases optimization. The major review explains the test case validation workflow and discusses the optimization of distinct phases within fuzzing utilizing in the software testing. Particular emphasis is placed on the implementation of artificial intelligence in the following software testing phases. This process involves position selection, which includes organizing and cleaning data; generating test cases that cover different inputs and expected outputs; selecting fuzzy input values for testing edge cases; validating the results of each test case to ensure accuracy and reliability. Finally, it synthesizes the obstacles and complexities associated with integrating artificial intelligence into software test case optimization techniques and anticipate potential future directions in the software testing.
A Systematic Review of AI Based Software Test Case Optimization
Authors: Lokhande Narendra Lalchand , Jaware Tushar Hrishikesh
Published: November 2024

In the realm of computer-aided diagnosis systems designed for lung cancer, accurately segmenting nodules holds vital importance. This segmentation process has a vital role in examining the image attributes of lung nodules captured in computed tomography scans, ultimately aiding in separation of benign and cancerous nodules. Timely detection of these lesions stands as the most effective strategy in combating lung cancer, a disease notorious for its high malignancy rates across both genders. Despite numerous deep learning techniques proposed for nodule segmentation, it remains challenging due to factors such as nodule characteristics, location, false positives, and the necessity for precise boundary detection. The present paper presents an ultra-modern method for lung nodule segmentation in computer tomographic images, based on a Generative Adversarial Network. A discriminator and a generator make up the GAN model. Our generator, Residual Dilated Attention Gate UNet, serves as the segmentation module, while a discriminator is Convolutional Neural Network classifier. To enhance training stability, we utilize the Wasserstein GAN algorithm. We compare our hybrid deep learning model, called WGAN-LUNet, both quantitatively and qualitatively with other methods that are already in use. We evaluate the model using multiple quantitative criteria.
Enhancing Creative Excellence in the Southern Indian IT Sectors: The Role of Autonomous Motivation in Inclusive Leadership Practices
Authors: Devapriyanga G  , Subashini R
Published: November 2024

The Southern Indian IT sector thrives on innovation but promoting employee creativity requires specific leadership approaches. This study aims to explore the influence of inclusive leadership on employee creative behavior, considering the mediating factor of autonomous motivation in southern Indian IT. The study situates the relationship between these variables within the framework of the self-determination theory. The survey, conducted with convenience sampling, involved 354 participants employed in the southern region of Indian IT sectors. The suggested simple mediation model was scrutinized by employing PLS-SEM. The findings indicated a favorable influence of inclusive leadership on the promotion of employee creative behavior, and autonomous motivation. Inclusive leadership practices cultivate an environment that fosters intrinsic motivation increasing employee creativity. The reliability of the outcomes may be impaired because of the limited sample size and the utilization of a cross-sectional study design. Also, these results imply that organizations and managers who want to see more employee creative behavior from their employees could do so by implementing inclusive leadership practices. This research contributes to the understanding of leadership style and employee creativity in the southern Indian IT sector. By highlighting the mediating role of autonomous motivation, the study encourages IT organizations to adopt inclusive leadership practices that develop intrinsic motivation and liberate employee creative potential. This promotes competitive advantages in the dynamic IT sector.
The Impact of Brand Love on Customer Loyalty: Exploring Emotional Connection and Consumer Behaviour
Authors: Handique Kaushik , Sarkar Samir
Published: November 2024

This paper examines the complex relationship between brand love and brand loyalty, exploring the central role of emotional ties in shaping consumer-brand interactions. Extensive research on consumer preferences and behavior reveals a strong and positive relationship between brand love and brand loyalty -Emphasizes the importance of emotional engagement to build commitment What lies notably, research also highlights the significant impact of brand love on consumer behavior, as it motivates the willingness to pay higher prices for the products or services of the desired brands Number of people who expressed in this study is a young and diverse user base -In addition to revealing the basis, which provides a nuanced understanding of who are most likely to be brand-lover relationships, research factor analysis shows key factors that contribute to brand love. The study also supports the reliability of the measurement models used. The practical implications drawn from these findings suggest that firms can harness the potential of brand affection by developing strategies to resonate emotionally with consumers, and thus so for loyalty and attractive value. By understanding the multifaceted nature of consumer love, companies can strategically incorporate this concept into their operations, ultimately increasing their market presence and with customers have developed deep and lasting relationships.
Teleworking Strategies and Performance of Non-Governmental Organizations in Kenya: A Case of World Vision Kenya
Authors: Munguti Martin , Kihara Allan , Mathenge Paul
Published: November 2024

Purpose: This study sought to establish the effect of teleworking strategies on the performance of Non-Governmental Organizations in Kenya, a case of World Vision Kenya. The specific objectives of the study were: to evaluate the effect of communication strategies and work schedules on the performance of World Vision Kenya. The study was anchored on communication theory, inter-role conflict theory, resource based theory and technology adoption model.
Methodology: This study adopted case study research design and the target population were 121 World Vision Kenya employees working at the Headquarters in Nairobi. The census method was used in this study. The researcher collected primary data from respondents using a structured questionnaire. Using a data collecting form, the study also extracted secondary data from World Vision Kenya yearly reports covering key indicators of performance, specifically funds raised annually and number of people benefitting from WVK programs from 2019 to 2022. The researcher used the Statistical Package for Social Sciences (SPSS version 21) to analyze the data.
Findings: The study established that dissemination of timely information which has been reviewed to ensure accuracy and completeness enhances organizational performance. The study also established that there was moderation in allowing employees choose their shifts so as to give room for work life balance. The study concluded that teleworking strategies had a positive and significant effect on performance of World Vision Kenya.
Unique Contribution to Theory, Policy and Practtice: This study recommended that the management could consider teleworking as part of their organizational strategy, and conduct regular feedback surveys on the effectiveness of the teleworking, to gain valuable insights for refining the teleworking strategies and addressing any challenges or areas for improvement. It is also recommended that employees should be given leeway to choose working shifts and timelines when working remotely for enhanced work life balance, while maintaining accountability.
Detection of Carbapenemase Producers and Inhibitory Activity of Pediococcus pentosaceus YTPP 02 against Carbapenemase-Producing Bacteria
Authors: Teethaisong Yothin , Sirichaiwetchakoon Kittipot , Krittanan Peerapat , Pornjirawittayakul Pimnipa , Nusuwan Srichanok , Dunkhunthod Benjawan , Sookjumrus Paphatchaya , Nakouti Ismini , Hobbs Glyn , Eumkeb Griangsak
Published: November 2024

Carbapenem resistance caused by carbapenemase enzymes is of serious public health concerns globally, resulting in limited options for effective treatment. Rapid detection and exploring new agents are urgently required. This study aims to detect carbapenemase producers and to investigate the antibacterial potential of Pediococcus pentosaceus YTPP 02 against carbapenemase-producing Acinetobacter baumannii and Klebsiella pneumoniae. The carbapenemase producers were detected by a Nitro-beta test (NBT), a novel and rapid method, as well as by a combined disc with resazurin assay (CRA), and multiplex PCR. P. pentosaceus was isolated from pickled white radish on the MRS agar + 1 % CaCO3. The 16s rDNA-based PCR and sequencing were used for species identification. The agar overlay assay, agar well technique, minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) were employed to determine antibacterial activity of P. pentosaceus. The NBT successfully detected carbapenemase in all 5 clinical isolates within 20 min, and they all were positive for metallo-β-lactamases in CRA techniques within 7 h. The multiplex PCR detected VIM in A.  baumannii BUU 62715, co-presence of NDM and OXA-48 like genes in both K.  pneumoniae strains and NDM in A. baumannii BUU 60056 and 30899. Both A. baumannii and K. pneumoniae isolates were resistant to carbapenems. The 16s rDNA sequencing indicated P. pentosaceus. This bacterium exhibited Gram-positive cocci in pairs and quadruplets. P. pentosaceus YTPP 02 showed antibacterial activity against A. baumannii BUU 62715 and K.  pneumoniae BUU 10624, with an inhibition diameter of 19 mm. The cell-free supernatant demonstrated promising antibacterial activity against A. baumannii isolates, with inhibition zones ranging from 15.3 - 18.5 mm, and a MIC of 62.5 mg/mL. P. pentosaceus YTPP 02 showed promising antibacterial activity against carbapenemase-producing bacteria. This could be a good candidate for further study and development as a new agent for carbapenem-resistant bacteria.
HIGHLIGHTS

A Nitro-beta test was able to detect carbapenemase producers within 20 min.
A combined disc with a resazurin chromogenic agar plate identified metallo-β-lactamases within 7 h.
Multiplex PCR confirmed the presence of carbapenemase-encoding genes in clinical isolates.
pentosaceus inhibited the growth of carbapenemase-producing A. baumannii and K. pneumoniae.

GRAPHICAL ABSTRACT
Successful pregnancy in a conserved uterus following hemi-hysterectomy in a case of uterus didelphys
Authors:   Department of Gynecology, Obstetrics and Neonatology of the 1st Faculty of Medicine, Charles University and General Hospital in Prague, Czech Republic, Hornová Markéta , Žižka Zdeněk , Přáda Jan , Fanta Michael
Published: November 2024

We present a rare case report of a patient with a congenital uterine anomaly – uterus didelphys. Who spontaneously became pregnant and completed the pregnancy successfully after peripartum hysterectomy of one uterus. The reason for the peripartum hysterectomy was a life-threatening hemorrhage with hemoperitoneum after cesarean delivery. Key words: uterus didelphys – peripartal hysterectomy – pregnancy
Advantages of next-generation sequencing (NGS) in the molecular classification of endometrial carcinomas – our experience with 270 cases
Authors:   Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University Bratislava, Bratislava, Slovak Republic, Gergely Lajos , Korbeľ Miroslav , Danihel Ľudovít , Repiská Vanda , Tomka Miroslav , McCullough Liam , Priščáková Petra
Published: November 2024

The authors present a case of 1st trimester miscarriage where an early, complete hydatidiform mole was clinically suspected. Histopathological and immunohistochemical analyses excluded a complete mole, but the histomorphological profile was in concordance with a partial hydatidiform mole. Genetic analysis excluded a partial mole based on biparental genome composition, where further genetic analyses detected trisomy of chromosome 16. Trisomy of chromosome 16 is a frequent cause of 1st trimester abortions and may lead to highly abnormal placental histomorphology mimicking a partial mole. Genetic analyses are crucial for proper differential diagnosis and for the determination of adequate follow-up and prognosis for further pregnancies. Key words: trisomy 16 – aneuploidy – DNA analysis – placental histomorphology
Intrahepatic cholestasis of pregnancy
Authors:   Department of Obstetrics and Gynecology, Medical Faculty of Masaryk University and University Hospital Brno, Czech Republic, Kostka Luděk , Hruban Lukáš , Morávková Petra
Published: November 2024

Objective: The aim of this work is to summarize current scientific information focusing on the diagnosis, management, and treatment of intrahepatic cholestasis in pregnancy according to available literature. Methodology: Literature sources were searched using the Web of Science, Scopus, and PubMed/Medline databases. Conclusion: For the diagnosis and proper management of intrahepatic cholestasis of pregnancy, the postprandial serum bile acid value of the pregnant woman is crucial. Postprandial testing allows for a higher likelihood of identifying patients with significantly elevated bile acid levels. Bile acid values above 100 µmol/l, especially in the 3rd trimester, are associated with a significant risk of severe complications, particularly intrauterine fetal death. Ursodeoxycholic acid, the first-line treatment, according to available data, does not improve perinatal outcomes and has minimal effect on the sensation of itching in patients. The routine administration of ursodeoxycholic acid in the treatment of intrahepatic cholestasis of pregnancy is controversial.  Key words: intrahepatic cholestasis of pregnancy – bile acids – ursodeoxycholic acid