bluuebunny/crossref_metadata_2025 huggingface dataset:
The communicationpotential of the book as amass medium in the age of new communication technologies
Authors:   Constantine the Philosopher University in Nitra, Rožňová Jitka , Kozárová Zuzana Kozárová
Published: September 2024

The specificity of the book results from its dual, diametrically different gist because it is considered an art artifact and a mass medium. On the one hand, it is distinguished by the characteristics defined by media studies, and at the same time -in a different context -it takes an oppositional attitude towards them and tends to the characteristicsof an artistic artifact. We also find the mentioned opposites in the relationship between the book and the audience: due to thewidespectrum of genres, authorial approaches, and production procedures, the book could be perceived by the audience as a unique work of art and simultaneously as a product of mass culture. The communication potential of the book also corresponds to the aspects mentioned above, which essentially remain unchanged. It continues to be/can be a source of new information, knowledge, artistic experiences, entertainment, or relaxation. Still, the advent of new technologies has brought/is bringing a whole spectrum of changes. Thebiggestchange -by the advent of the Internet and smartphones -is the acceleration and simplification of communication in the production, distribution, and sale of booksprocess. These technological changes also significantly affect the mutual relationship between the book and the reading public. The reader is not just a passive recipient of its content and visual component but also an active participant in perception. In the article, we analyzed the specificities of the book as a mass medium in the cultural space, aswell as its communication prerequisites for the reader in the era of new communication technologies. The main aim of the survey was to find out how readers perceive new technologies or how new technologies affect the reading habits associated with book usage.The article has a summarizing character in the theoretical part and an overview in the practical part. It represents an introduction to more detailed research, the results of which will be presented in articles published in other issues of the journal Social Communications –Theory and Practice. We will focus on the book's impact on increasing media literacy and critical thinking among children and youth, as well as on various technologies facilitating the use of the book's potential in the mass media and artistic spheres.Keywords: book, communication technologies, culture, mass media,audience.
Artificial Intelligence Models and Association of Air Pollutants and Novel Coronavirus: A Survey for Asia and Oceania
Authors: Sharma Ekta , Deo Ravinesh C. , Yaseen Zaher Mundher , Khare Mukesh , Dhawan Sachin
Published: September 2024

The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic has led to approximately 704 million confirmed cases of coronavirus disease (COVID-19) and resulted in approximately 7.01 million fatalities worldwide. The present review examines the applications of Artificial Intelligence (AI) models concerning the COVID-19 pandemic and its correlation with air pollutants. The objective of this review is to identify, assess, and synthesize pertinent findings regarding the relationship between air pollution and COVID-19. Initially, a comprehensive set of 549 articles was screened, resulting in the selection of 38 articles from the study region through two stringent rounds of inclusion and exclusion. Given the limited availability of published literature originating from countries in Asia and Oceania, the authors endeavoured to focus specifically on studies from this geographical area. The analysis primarily centred on contextual keywords, methodologies employed, algorithms utilized, and, notably, the specific air pollutants examined, such as particulate matter (PM) including PM2.5 and PM10, as well as associated meteorological parameters. Our findings indicate that a significant portion of the research is concentrated in China, recognized as the initial epicentre of the COVID-19 outbreak. Additionally, most researchers from Asia and Oceania primarily concentrated on PM2.5, followed by studies on meteorological factors and PM10. This review delineates five prospective research avenues for future exploration. Consequently, this article enriches the existing literature by providing researchers with insights into current studies, thereby enhancing the accessibility of available evidence for decision-makers and proposing a potential research agenda for forthcoming investigations.
Reservoir Operation based Machine Learning Models: Comprehensive Review for Limitations, Research Gap, and Possible Future Research Direction
Authors: Al-Nouti Ahmad Fares , Fu Minglei , Bokde Neeraj Dhanraj
Published: September 2024

The operation of dams and reservoirs is critical for water resource management, including flood control, irrigation, hydropower generation, and environmental conservation. Traditional optimization techniques like Dynamic Programming (DP), Linear Programming (LP), and Nonlinear Programming (NLP) have been foundational in managing these operations. However, they often fall short in addressing the complexities of modern water management challenges posed by climate variability and increasing water demands. Machine learning (ML) techniques have emerged as powerful tools to enhance the efficiency and accuracy of dam and reservoir operations. This paper provides a comprehensive review of various ML models, including Neural Networks, Genetic Algorithms, Decision Trees, and Ensemble Methods, highlighting their applications in predicting reservoir inflows, optimizing water release schedules, and improving flood risk management. Notably, ML models like Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNNs) have shown significant improvements in forecasting accuracy and operational decision-making. Despite these advancements, several limitations and research gaps persist, including the need for real-time data integration, adaptive learning mechanisms, and models that consider socio-economic and climatic factors. This review underscores the importance of addressing these gaps to develop more robust and generalizable ML models. Future research directions are suggested to focus on hybrid models combining ML with traditional optimization techniques, comprehensive validation across diverse conditions, and the integration of ecological and economic considerations. By systematically identifying and addressing these limitations, this research aims to pave the way for more effective and sustainable dam and reservoir management practices. Leading towards suggesting that enhancing real-time data integration and developing adaptive learning mechanisms are in order to improve model responsiveness.
The Effect of the Ratio of Rice Bran Flour and Wheat Flour on Some Quality Component and Sensory of Cup Cake
Authors: A. Alamsyah  , U. Handayani  , E Basuki
Published: September 2024

Abstract: This research was aims to determining the Effect of the Ratio of Rice Bran Flour (RBF) and Wheat Flour (WHF) on some quality component and sensory of Cup Cake.  This research used a Completely Randomized Design (CRD) with a single factor, namely the combination of the proportion of rice bran and wheat, consisting of 6 treatments are as follows: b0 (RBF 0% : WHF 100%); b1 (5% RBF: WHF 95%); b2 (RBF 10% : WHF 90%); b3 (RBF 15% : WHF 85%); b4 (RBF 20% : WHF 80%); and b5 (RBF 25% : WHF 75%). The research data were analyzed using ANOVA at a 5% real level and further tests using Orthogonal Polynomials at a 5% real level. Also, a high percentage of fat (29.10%) was recorded for cake with RBF at 20% significant increase in the protein content compared to control cake (7.65%). With increasing the ratio of RBF to all cupcake samples at different proportions, some physical properties of the cupcake such as volume and specific volume were decreased, while others such as weight and specific weight were increased compared to the control cupcake. In the higher storage period, the higher staling of cupcake samples appeared, and thus, the moisture content of the fortified cupcake decreases with different proportions of RBF.  It could be concluded that the RBF has a functional property higher than those of WHF. Finally, high-fiber cupcake can be prepared with substituted WHF up to 25% with RBF without any negative effects on the quality properties and sensory acceptability of the product
Prevalence and Risk Factors of Uropathogens in Diabetic and Non-Diabetic Patients Attending a University Medical Centre in Awka Anambra State
Authors: Uzoamaka Ezebialu, Chinenye , Okwudili. Anyamene, Christopher , Maureen Nwofor, , Rachael Obieze, Nneka
Published: September 2024

Diabetes is the most endocrinological disease associated with different life-threatening infections. Urinary Tract Infections (UTIs) are one of the most common infections affecting diabetic patients and a major cause of hospitalization and even death. The purpose of the study includes determining the prevalence of UTI, isolation and characterization of the different bacterial uropathogens and comparative evaluation of the risk factors associated with UTIs for both diabetic and nondiabetic patients attending Nnamdi Azikiwe University Medical center Awka, Anambra state. A total of 200, clean catch midstream urine (MSU) samples were collected aseptically (100 each from diabetic and 100 from non-diabetic patients). The samples were cultured in different nutrient media. These plates were incubated at 37℃ for 24hrs. The isolates were identified using colony morphology, Gram staining reaction and biochemical tests. The demographic data was obtained from the result of the structured standardized questionnaires and data collated where statistically analysed using statistical package (SPSS) to show their relationship with UTI. This study revealed the overall UTI prevalence of 72/200 (36%) among diabetic and non-diabetic patients from 18years and above. The prevalence among diabetic participants is (61.1%) and that of the non-diabetic is (38.9%). Escherichia coli was the most prevalent bacterial uropathogen with (34.6%) in diabetics and (46.43%) in non-diabetics, followed by Staphylococcus saprophyticus (31.8%) in diabetics and (14.39%) in non-diabetics. Klebsiella pneumoniae (11.4%) for diabetics, (10.71%) in non-diabetics. Pseudomonas aeruginosa (9.1%) for diabetics and (17.86%) for non-diabetics. Proteus mirabilis 4(9.1%) for diabetics and (10.7%) for non-diabetics. The findings demonstrated that age, female gender, married individuals, diabetes, and hospitalization were all statistically associated with UTI and UTI was more prevalent in diabetic patients than non-diabetic patients. Proper knowledge of risk factors of UTI in diabetic and nondiabetic patients may allow intervention and easy management of UTI in diabetic patients.
Ética y Eficiencia
Authors: Escobar Reyes Lincoln
Published: September 2024

In this paper, I intend to demonstrate that there is a causal and necessary relationship between ethical behavior and the individual and collective efficiency of human beings. To do this, I will first develop the argument that ethical behavior is part of human nature and not merely a social construct. Then, I will establish its relationship with the form of [1]social organization that ensures efficiency in achieving collective goals. This ethics-efficiency relationship breaks with the traditional concept of effective leadership, where individual interests and authoritarian behavior prevail, and promises to become the new paradigm of successful social organizations, be they businesses, NGOs, educational institutions, sports teams, etc.
Robot para la educación inclusiva
Authors: Anderson Ibar Federico , Ponti Luis
Published: September 2024

This study focuses on the design, development and evaluation of an educational mobile robot, called Robot-T2, to be used in educational activities within a technical school. The main objective was to create a versatile platform that allows students to explore programming, engineering and science concepts in a practical and collaborative way. The methodology included an iterative design and testing approach, incorporating feedback from students and teachers to continually improve the functionality of the robot. The tests covered autonomous navigation, line following and object manipulation, using the OnBotJava programming software and the Control-Hub as the main interface. The results demonstrated that the Robot-T2 is highly efficient and adaptable in various educational contexts, showing remarkable precision in navigation and manipulation of objects. The design iterations significantly improved the robot's performance, enriching the educational experience and promoting active learning. In conclusion, educational robotics, represented by the Robot-T2, has great potential to enrich the teaching and learning process in technical schools, promoting teamwork, problem solving and the integration of technology in the classroom. It is hoped that this project will inspire future developments in educational robotics.
Educación de los pueblos originarios en Colombia, subalternización e injusticia cognitiva
Authors: Osorio Calvo Carlos Alberto
Published: September 2024

This article has been derived from a documentary research work, which offers a balance of education for Indigenous Peoples in the Latin American sphere, in the Colombian sphere and in the specific sphere of the Nasa Indigenous People in Colombia. It also realizes the way in which the relationship between Own Education and the fight for territorial autonomy has been raised. Finally, for the Colombian case, some problematizations present in the relationship between Indigenous Education and state policy on education are collected. It is concluded that the ontological and epistemic violence that generates injustices in knowledge and understanding, and that affected the indigenous peoples under the colonial project, is resisted based on the educational experiences of the Nasa Indigenous People.
Five-year trend in secondary prevention medication prescription and risk factor control among patients with diabetes mellitus and cardiovascular diseases in Perak health clinics
Authors: Jamaluddin Jazlan , Mohamed-Kamel Mohd Azzahi , Din Nor Shazatul Salwana , Mohamad-Isa Mohamad Zikri
Published: September 2024

Introduction: Prescription of secondary prevention medications (SPMs) and effective control of cardiovascular risk factors (RFs) are crucial to reduce the risk of recurrent cardiovascular events,particularly in high-risk individuals including those with diabetes mellitus (DM). This study aimed to analyse the trends in SPM prescription and identify the factors associated with RF control among patients with DM and cardiovascular diseases in Perak health clinics.
Methods: Data of patients with ischaemic heart disease (IHD) and cerebrovascular diseases (CeVDs) audited from 2018 to 2022, excluding those lost to follow-up, were extracted from the National Diabetes Registry. Descriptive and trend analyses were conducted. Multivariable logistic regression was utilised to identify the factors associated with RF control.
Results: Most patients (76.7%) were aged ≥60 years and were Malays (62.3%). The majority had IHD (60.8%) and CeVDs (54.7%) for ≥5 years. SPM prescription increased significantly over the past 5 years. However, blood pressure (BP) and lipid control remained static. Good BP control was associated with a DM duration of ≥10 years and poor control with Malay ethnicity and prescription of two or three antihypertensives. Good DM control was associated with an age of ≥60 years and age at DM diagnosis of ≥60 years and poor control with Malay and Indian ethnicities, DM duration of≥10 years and prescription of two or three and more glucose-lowering drugs. Poor lipid control was associated only with Malay and Indian ethnicities.
Conclusion: SPM prescription has increased over time, but the achievement of treatment targets,particularly for lipid control, has remained poor and unchanged. Statin use is not associated with lipid control. The accessibility and availability of alternative lipid-lowering drugs must be improved to enhance overall RF control, especially lipid control, in patients with DM and cardiovascular diseases.
The Case for a Planetary Management Accounting Framework
Authors:   Institute of Certified Management Accountants, Ratnatunga Janek
Published: September 2024

Because of the enormous effects that humans have on the ecosystem, there is a chance that the planet will no longer be friendly to humans but rather be hostile. Scientists have proposed nine Planetary Boundaries (PB) — the global environmental limits within which the risk of disrupting the current climatic and ecological equilibriums of the planet is low. PBs are meant to serve as an indicator of the scope and urgency of the issue, rather than serving as a roadmap for fixing the problem. They are, however, difficult to apply as quantitative, scalable objectives for personal or policy decision making. This article provides an overview of how the Planetary Boundaries can be converted into actionable measures through the Planetary Management Accounting Framework (PMAF) — a framework for managing the global environment. PMAF is an environmental management accounting model where planetary quotas (PQ), or global limits, are used to evaluate environmental consequences of human activities. Each PQ sets a limit for an "environmental currency," such as carbon dioxide emissions or reforestation, that may be scaled and compared to the outcomes of human activities. The PMAF can also be used to demonstrate how the PB can be used to reflect corporate strategy, individual acts, infrastructure at the local government level, and also national policy. It facilitates the communication and applications of the PB in various spheres of human activity.
Anayasa Mahkemeleri Norm Denetiminde “Olgu”yu Ölçü Alabilir Mi?
Authors: Kaya Semih Batur
Published: September 2024

Anayasa hukuku yerleşik ilke, norm ve kurumlardan oluşmaktadır. Bu doğrultuda geliştirilen bir anayasal kurum kanunların anayasaya uygunluğunun yargısal denetimidir. Anayasa yargısı bir yandan devletin yerleşik temel kurumları arasındaki ihtilafları karara bağlarken diğer yandan devletin temel kurumları ile vatandaşlar arasındaki uyuşmazlıkları çözer. İşte buradaki yetki birer anayasa yargısı kurumu olan anayasa mahkemelerine aittir. Anayasa mahkemeleri anayasalarda kendilerine çizilen sınırlar içinde anayasal denetim gerçekleştirirler. Çalışmamıza konu edilen esas sorun, anayasa mahkemelerinin kanunların anayasaya uygunluk denetiminde normatiflik kapsamına toplumsal gerçekliği, yani olgusal olanı dâhil edip edemeyeceğine dairdir. Elbette anayasa mahkemeleri yetki alanları zorunlu olarak sınırlı yargısal kurumlardır. Ancak bu mahkemelerin anayasa hukuku açısından yargısal inceleme yetkisine sahip olduğu durumda normatifliği belirlemede ve bunu değiştirmede yetkili bir organ olduğu söylenmelidir. Aksi takdirde anayasal denetimin işlevsel bir şekilde gerçekleştirilmesi imkân dâhilinde olmaz. Öte yandan Türk doktrininde de bu bakımdan bir boşluk bulunmaktadır. Dolayısıyla bu çalışmadaki konuyu ele almak kaçınılmaz olmuştur. Bu sebeple aşağıda önce temel oluşturmak bakımından pozitivizmin temel kavramları olan “olgu” ve “norm” incelenmiştir. Ardından hukuksal pozitivizm meselesi ele alınmış ve daha sonra normativist pozitivizm konu edinilmiştir. Daha sonra ise tüm bu operasyonel kavramların anayasa yargısındaki işlevsel değeri sorgulanmıştır. Nihayet Türk Anayasa Mahkemesinin güncel bir kararı tüm bu bağlamlarda tartışılmıştır.
Strategi pengelolaan lingkungan ekowisata Sungai Gelombang di Desa Sipungguk Kecamatan Salo Kabupaten Kampar
Authors: Dewi Ari Prima , Putra Ridwan Manda , Zulkarnain Zulkarnain
Published: September 2024

Sungai Gelombang Ecotourism located in Sipungguk Village, Salo District, Kampar Regency, Riau Province which has the potential to be developed as an environmentally ecotourism. This study aims to analyze the existing conditions of the Wave River ecotourism environment and determine the right strategy in managing the Wave River ecotourism environment. The research was conducted from October 2022 to January 2023. Primary data were obtained through questionnaires, direct observation in the field, documentation and in-depth interviews with the community, visitors and stakeholders, as well as secondary data obtained from references related to ecotourism environmental management. Data were analyzed using SWOT analysis. The results of the analysis show that the existing conditions of the Sungai Gelombang ecotourism ecology which includes rainfall, current, brightness, river area, color, depth, water temperature, pH, water bottom, vegetation, and biota are included in normal conditions that support ecological functions, Existing economic, socio-cultural, and institutional conditions show the need to increase the role of the surrounding community and government. Based on the SWOT analysis of Sungai Gelombang ecotourism management with the S-O (Strength - Opportunity) strategy. The strategy is to increase the role of the surrounding community and government with programs that support environmental conservation
Strategi Pengelolaan Peternakan Ayam Ras Pedaging di Kecamatan Pujud
Authors: Roflimas Roflimas , Eddiwan Eddiwan , Zulkarnain Zulkarnain
Published: September 2024

Livestock development is an important aspect of agricultural development, especially during the economic and monetary crisis. The role of the livestock sub-sector in agricultural development is quite significant, one of which is the poultry industry. Apart from that, an increase in the broiler chicken population will certainly have several environmental and social impacts felt by breeders and other people who are near the farm. The aim of this research is to find out appropriate strategies to be applied in Pujud District, Rokan Hilir Regency in efforts to manage broiler chicken businesses. The survey was conducted using interview techniques, questionnaires and literature study. Interview and distribute questionnaires to breeders and communities around broiler cages in Pujud District. The analysis used is SWOT analysis. The results of research on the best strategy for managing the broiler chicken business in Pujud District, Rokan Hilir Regency is to utilize the availability of raw materials, the availability of sufficient capital to meet the high demand for chicken meat, increasing good cooperation with sapronak suppliers and collectors/agents in order to balance needs. restaurants that grow rapidly and reduce production costs by utilizing experienced employees to produce low-cost products and maintain social relations with the community and can become a source of additional income for the community.
Anas Family Model Pada Level Individu dalam Pengendalian Stunting di Wilayah Puskesmas Lima Puluh
Authors: Yenita Riski Novera , Yanti Rifa , Fitri Jufenti Ade
Published: September 2024

One of the government's current focus is stunting prevention. This effort aims to ensure that Indonesian children can grow and develop optimally and to the maximum, accompanied by emotional, social, and physical skills that are ready to learn, as well as being able to innovate and compete at a global level. According to the Gizi Status Survey Report of Balita Indonesia (SSGBI) Based on stunting data of Pekanbaru city, the highest percentage of stunting cases are in the Fifty district of 42 cases. The type of research used is quantitative with the type of cross sectional study design. The sample in this study was 42 respondents. Data analysis is done univariately. The results of the study showed that out of 42 respondents obtained results on the parental education variable were 25 respondents (59.5%). In the attitude variable was enough 30 respondents (71.4%). Behavior was enough as much as 32 respondants (76.2%), In the sanitation variable, the majority were sanitation eligible as many respondents 17 (56.7%). It is recommended that Puskesmas Fifty Cities Pekanbaru be a source of information to the perpetrators and develop health promotion about patterns of parental care and maintain good sanitation of the environment against stunting incidents Information to the stunt party and developing health promotion on parental care patterns andining good sanitation of the environment against stunting incidents as one of the guidelines for changing behavior even better.
Efektivitas Peran Tenaga Pendamping dalam Meningkatkan Partisipasi Masyarakat di Bank Sampah Kirana Gajah Mada Kota Pekanbaru
Authors: Suryani Suryani
Published: September 2024

A wate bank is place used to collect waste that has been sorted. The problem of waste management in urban areas requires public awareness to participate. The community of residents can participate in managing waste, especially in their respective environments. The aim of this research is to determine the effectiveness of facilitator in increasing community participation in the Kirana Gajah Mada waste bank Pekanbaru city. This research was conducted using descriptive qualitative methods. The research was carried out at the Kirana Gajah Mada waste bank Pekanbaru city. The results show an increase in community participation after serving as a waste bank facilitator at the Kirana Gajah Mada waste bank Pekanbaru city. The facilitator effective in increasing the number of people participating in becoming waste bank customers, effectively increasing the amount of waste saved by waste bank customers and affective in increasing the public’s desire to continuously participate in becoming waste bank customers.
SQL Injection Attack Detection Based on Similarity Matching Between Vectors Extracted From Design Time and Run-Time Queries
Authors: Chowdhury Jayanto Kumar , Yadav Dilip Kumar , P.V.S.S.R Chandra Mouli
Published: September 2024

Everyone uses web-based applications to carry out daily business and personal tasks. These programmes are vulnerable to attack by hackers, who may also misuse the data. The most serious attack with the greatest damaging potential on digital platforms is the structured query language injection attack (SQLiA). The backend databases could be corrupted or destroyed by SQLiA if it manages to breach security protections. Using SQLiA tactics, hackers can get unauthorized access, steal important data, and take over the network completely or partially. An automatic SQL injection prevention and detection technique is needed to safeguard web-based applications from SQLiA. This research suggests a novel similarity-matching algorithm of vectors extracted from design time and run-time queries. This technique allocates the weights of different SQL keywords used in design time and run-time queries and further design time and run-time vectors have been created from respective queries. The similarity between the design time and run time vector is determined by calculating the angle between these two vectors. The angle of deviation between the design time vector and run time vector is calculated and if the angle of deviation is zero, then it is concluded as no SQL injection otherwise, it indicates the existence of SQLiA vulnerability. The proposed algorithm is validated against the GitHub dataset. In the first dataset, out of 1300 injected queries, the proposed method identifies 1219 injected queries; out of 300 normal queries, it identifies 290 normal queries with 93.76% and 96.66% detection accuracy, respectively. Similarly, for the second dataset, out of 10489 injected queries, it identifies 10280 injected queries and out of 301 normal queries, it identifies 280 normal queries with 98.01% and 93.02% detection accuracy, respectively.
Development and Validation of RP-HPLC Method for Estimation of Ticagrelor in Pharmaceutical Dosage Form and Force degradation study
Authors: Siddheshwar Suhas S. , Borhade Ajay R. , Mankar Someshwar D. , Dighe Santosh B. , Patel Arshu P.
Published: September 2024

Ticagrelor is a selective Adenosine diphosphate (ADP)-receptor antagonist which is prescribed in the form of tablets and acts as an oral antiplatelet for the prevention of further thrombotic events in patients with Acute coronary syndrome (ACS) and those undergoing Percutaneous coronary intervention (PCI). Therefore, accurate and reliable determination of Ticagrelor in bulk and in dosage forms is vital for clinical consideration. The objective of the method is to develop a new, simple, sensitive, accurate, and economical analytical method for the determination of assay of Ticagrelor Tablet and to perform a forced degradation study of Ticagrelor Tablet by RP-HPLC. Chromatographic separation was achieved on an UHPLC equipped with reverse phase C-18 (250 × 4.6mm, 5µ) with a mobile phase composed of acetonitrile and buffer solution (75:25) at a flow rate of 1.10 ml/min. The effluents were detected at a wavelength of 256 nm. The retention time of Ticagrelor was found to be at 3.579 min. The correlation coefficient for Ticagrelor was found to be 0.997. Recovery of Ticagrelor in the formulation was found to be 98%-102%. LOD and LOQ values of Ticagrelor were found to be 1.31 and 3.98, respectively. The method was proven to be precise (%RSD=2%), accurate (>90%), and specific for the measurement of Ticagrelor in tablets. Thus, being simple, accurate, precise, and rapid, the newly developed RP-HPLC method is recommended for the estimation of Ticagrelor in nature. Due to its high sensitivity and specificity, it is a suitable choice for identifying Ticagrelor in drugs and other products and differentiating hid similarities. However, this method can effectively be used for routine assay and stability study, which can help manage cardiovascular diseases since the quality and efficacy of Ticagrelor-containing products are significant to patients’ condition.
Effectiveness of Capacity Building Programme on Competency of Electrocardiogram (ECG) Interpretation Among Critical Care Nurses
Authors: S Balasivanandan , Annamalai Manjula , Arjunan Porkodi , C Kavitha , Ramanathan Kavitha
Published: September 2024

This study investigates the effects of a capacity-building programme on the competency of ECG interpretation among critical care nurses. Electrocardiogram (ECG) interpretation is a fundamental clinical skill essential for the rapid diagnosis of potentially life-threatening conditions. Misinterpretation of ECGs can result in inappropriate clinical decisions, leading to adverse patient outcomes. This study, conducted at a tertiary care hospital with over 1600 beds and six fully equipped intensive care units, aimed to improve the knowledge and practice of ECG interpretation among nurses frequently recording ECGs. A quantitative quasi-experimental study was conducted with 100 nurses selected using non-probability purposive sampling. Pre-test and post-test assessments were used to evaluate knowledge and practice, and data were analyzed using descriptive and inferential statistics. The results showed that the study group had significantly higher post-test knowledge and practice scores compared to the control group, with a strong positive correlation between knowledge and practice scores. The findings highlight the importance of continuous education and training for healthcare professionals.
Cross-Domain Adaptation Techniques for Robust Plant Disease Detection: A DANN-CORAL Hybrid Approach
Authors: Prasad Pulicherla Siva , Agniraj Senthilrajan
Published: September 2024

Plant disease detection with deep learning models has shown promising results, but these models often struggle with generalizing across diverse agricultural environments due to domain shifts in imaging conditions. This paper presents a novel hybrid approach focusing on cross-domain adaptation techniques to address the challenge of domain shift. Our proposed method combines the Domain-Adversarial Neural Network (DANN) with Correlation Alignment (CORAL) to mitigate domain shifts between datasets. The DANN framework enforces domain-invariant feature learning through adversarial training. Using the PlantVillage Dataset, with controlled environment images, and the New Plant Village Dataset, with varied conditions, the model is first trained on PlantVillage and then adapted to New Plant Village using the CORAL loss to support the second-order statistics. In case of domain shift experiments with various datasets, DANN-CORAL achieved accuracies 91.39%, precision 93.36%, recall 88.9% and F1-scores 91.05% indicating the robustness and generalizability of our model is better than the other baseline models. This approach enhances model robustness and adaptability, providing insights into combining adversarial and statistical alignment for cross-domain adaptation in agricultural imaging.
Enhancing Liver Disease Detection and Management with Advanced Machine Learning Models
Authors: Rao Koduganti Venkata , Devi Juthuka Aruna , Anuradha Yarlagadda , G Kumari , Kumar Mirtipati Satish , Rao M. Somasundara
Published: September 2024

The prevalence of hearing loss has risen making it a significant public health issue. Hearing loss is caused by complicated pathophysiological pathways, with various risk factors identified, such as hereditary factors, inflammatory processes, systemic disorders, noise exposure, medicines, oxidative stress, and age. Metabolic syndrome is a medical condition characterized by the presence of hypertension, central obesity, hyperlipidemia, and diabetes. Metabolic syndrome has been linked to several clinical diseases, such as stroke, heart attack, cardiovascular disease-related death, and diabetes. A cross-sectional study was done on 100 patients with metabolic syndrome which used specific cut-off points of waist circumference, fasting glucose levels, blood pressure, triglyceride, and high-density lipoprotein cholesterol levels to diagnose the condition. Among these five criteria, at least three had to be met, and the presence of additional criteria indicated greater severity. Audiological evaluation with pure tone audiometry was done and recorded. Statistical analysis was performed to determine the significance of the results.  The majority of the patients (62%) had unilateral hearing loss, amongst which sensory-neural type and moderately severe hearing loss were the most common type (67%) and severity (61%) of hearing loss respectively. Chi-square tests were done for the comparison of type, severity, and laterality of hearing loss with age, gender of the patients, and criteria fulfilled for metabolic syndrome. The severity of hearing loss had a statistically significant association with the age of the patients and the number of criteria fulfilled for metabolic syndrome with a p-value of 0.003. There was a statistically significant association between the severity of hearing loss and the age of the patients and the number of criteria fulfilled for metabolic syndrome with a p-value of 0.004. Metabolic syndrome affects the auditory system in several ways. It damages hearing and exacerbates presbycusis. Hearing loss worsens as components of the metabolic syndrome increase.
A Novel Computer-Aided Approach for Predicting COVID-19 Severity Using Hyperparameters in ResNet50v2 from X-ray Images
Authors: Deva Rahul , Dagur Arvind
Published: September 2024

This research has been globally impacted by COVID-19 virus, which was a very uncommon, highly contagious & dangerous respiratory illness demanding early detection for effective containment and further spread. In this research, we proposed an innovative methodology that utilizes images of X-rays for COVID-19 detection at an early stage. By employing a convolution neural network, we enhance the accuracy performance via using ResNet50v2 using a hyperparameter. The methodology achieves a remarkable accuracy with an average accuracy of 99.12%. This accuracy surpasses other available models based on different deep learning models like VGG, Xception and DenseNet for COVID identification & detection with the help of X-ray images. X-ray scans are now preferably used modality for the identification & detection of COVID-19, given its widespread utilization and effectiveness. However, manual treatment & examination using X-ray images is very challenging, specifically in the field which is facing a limitation of skilled medical staff. Utilization of deep learning models has demonstrated significant potential and effective results in automating the diagnosis for timely identification of COVID with the help of X-ray films. The suggested architecture is specifically developed for timely prediction and analysis of COVID cases employing X-ray films. It firmly believes that this study holds significant potential in alleviating the workload of frontline radiologists, expediting patient diagnosis and treatment, and facilitating pandemic control efforts.
A Critical Review on the Advancements in Exploration and Production of Shale Gas
Authors: Talukdar Prasenjit , Sahu Ajay K. , Dey Kishan Kumar , Akhter Sazia , Hazarika Nabanita , Talukdar Ankita , Bora Nabya P.
Published: September 2024

The exploration and production of shale gas have seen significant advancements in recent years, driven by the increasing global demand for clean energy sources. These advancements encompass the understanding of a wide range of areas, including the formation theory of shale gas reservoirs, evaluation methods, well drilling, completion, and simulation techniques. Innovative design, modelling, and field practices have been developed for shale gas well drilling and completion, as well as its production techniques. Furthermore, new simulation techniques, software, algorithms, and other tools have been introduced to improve the modelling and simulation of shale gas production. Experimental and simulation research in shale gas exploration, development, and production using hydraulic fracturing has also seen considerable progress. These advancements are contributing significantly to the global demand for clean energy sources with a promise to achieve sustainable development goals. This review work explores the exploration and exploitation of shale gas with a detailed description of multidisciplinary research efforts, providing valuable insights into shale reservoir/rock characterization and geo-mechanics, fluid-surface interactions, gas adsorption behaviours and single- and multi-phase flow mechanics. These advancements are not only increasing the efficiency and productivity of shale gas extraction but also paving the way to meet the future global energy demand while also contributing to the goal of achieving net-zero carbon emissions. The novelty of the review work is that it exhibits a combined qualitative and quantitative study of recent advancements in the sphere of exploration and production of shale gas reserves and its discoveries around the globe.
A Study to Assess the Level of Softskill Practices Among Nursing Students in Selected Colleges
Authors: Ramalingam Poongodi , M Sumathi , R Sundareshwari , Arjunan Porkodi , Ramanathan Kavitha , Subramanian Shenbaga Sundaram , Alhalaiqa Fadwa
Published: September 2024

Soft skills are the habits and traits that determine how a person operates in the workplace like communicating with others. Students are in a position to prove themselves in different aspects, which is not possible by technology. The soft skills identified as important in the workplace include communication, teamwork, motivation, problem-solving, enthusiasm, and trust. A quantitative, descriptive cross-sectional approach was used to assess the knowledge and practice of soft skills among nursing students at selected nursing colleges in Chennai. The target population was B. Sc Nursing Basic students in Chennai. There was a total of 305 students in the study. Data was collected using my 3s 5 point rating scale questionnaire, which Data developed was analyzed using SPSS version 23. The highest mean score (20.47 with SD 4.38) was observed in the soft skill domain of management and the lowest score was in writing and communication skills (20.23 with SD4.38). There was a statistically significant association found in soft skill domains of writing skill and management skill with fathers’ educational status and mothers’ occupational status at p<0.05 level. Soft skills are an internal part of the nursing profession. It reflects on approaches that would enable nursing students to grow in their profession.
Digital Watermarking Using Hybrid Grasshopper Optimization Algorithm and Genetic Algorithm (HGOAGA)
Authors: Cheemalapati Viswanathasarma , Khan Danish Ali , PVSSR Chandramouli
Published: September 2024

The advancement of computer technology has raised significant issues with digital content piracy and copyright law. A popular method of protecting copyright and related uses is digital watermarking. Various algorithms have been developed to address the need for invisible performance and robustness in digital watermarking schemes. Here, we proposed a novel evolutionary algorithm, the hybrid Grass Hopper Optimization algorithm, and the Genetic algorithm (HGOAGA) for optimizing multiple scaling factors in the digital watermarking scheme in the frequency domain of hybrid Discrete Wavelet Transformation (DWT) and Singular Value Decomposition (SVD) method (hybrid DWT-SVD). The subcomponents of the image are determined by calculating the DWT of the cover image. The problem is determining the best scaling factor for watermarking after converting the subcomponent to the frequency domain using SVD. In HGOAGA, an optimal solution of multiple scaling factors is found after several iterations, starting with a set of randomly generated solutions. The advantages of GOA and GA are combined in the HGOAGA to balance exploration and exploitation functionalities. Furthermore, HGOAGA can converge quickly and escape local optima well. Some standard images were used in the MATLAB environment to test the proposed algorithm. The evaluation of the experiment was carried out using various metrics such as the Structural Similarity Index (SSIM), the Normalized Cross-Correlation (NCC), and the Peak Signal-to-Noise Ratio (PSNR). The experimental results of the tests showed a PSNR value of 51db for the proposed method compared to existing methods, and they are best suited to solving conflict problems between robustness and quality.
Demographic and Lifestyle Factors Influencing Cardiovascular Health Among Construction Workers: A Cross-Sectional Analysis
Authors: Ranganathan Leela Bhavani , Rajasundaram Archana , Kumar Sasi Kumar Santhosh
Published: September 2024

This study examined cardiometabolic parameters and their relationships among construction workers with varying smoking status. This study examines construction workers' cardiovascular (CV) health status, the variations among gender, age, and education groups, and the interaction between CV health (CVH) variables and health practices. This cross-sectional study included 210 construction workers (159 non-smokers and 51 smokers). Anthropometric measures, blood pressure, fasting blood sugar, total cholesterol, and physical activity levels were evaluated. Pearson's correlation analysis was performed to evaluate associations between variables. Smokers exhibited higher physical activity levels (p=0.03), while pulse pressure was similar between groups. Body mass index had a weak positive connection with diastolic blood pressure (r=0.147, p=0.034) and pulse pressure (r=0.137, p=0.048). Systolic blood pressure (r=0.697, p<0.001) and pulse pressure (r=0.965, p<0.001) showed strong positive relationships, while physical activity had a modest link with fasting blood sugar (r=0.145, p=0.036). The study highlights the relationships between cardiometabolic factors and physical activity levels among construction workers, emphasizing the potential impact of lifestyle factors on cardiovascular health in this occupational group. About one-fourth of the construction workers accomplished only four of the seven "ideal" CVH markers. Because of their stressful jobs and unhealthy lifestyles, construction workers have a moderate to high risk of CV disease.
Improvement of the strategy of insolvent organisations crisis recovery
Authors: Ashimova Zhanna , Epanchinceva Svetlana , Gauhar Sakhanova , Zhanay Z. , Diana Z.
Published: September 2024

The article presents the research results aimed at strategic management of an insolvent organisation to overcome the financial and economic crisis. Nowadays enterprises in Kazakhstan often have challenges with ensuring financial stability and solvency. As a result, many organisations become uncompetitive. It can cause a business bankruptcy. The article highlights modern issues of ensuring domestic commercial organisations financial stability. The paper proposes solutions available to improve an economic efficiency mechanism for managing the financial condition of insolvent organisations. Therefore, an integrated approach to the development and implementation of strategies to recover insolvent organisations from crisis includes financial recovery, optimisation of operational processes, management reorganisation, reorientation to new markets and products, strengthening marketing activities, and improving corporate culture. Each of these strategies is aimed at stabilising the financial condition, increasing efficiency, and competitiveness. The implementation of these strategies requires all organisation departments coordinated actions and adaptation to current economic conditions.
Blockchain and artificial intelligence in intellectual property management
Authors: Ivannikov Vladislav , Kosnikov Sergey
Published: September 2024

This article discusses the use of blockchain technology and artificial intelligence in the intellectual property management industry. Intellectual property is the result of human activity and an important product for society. Indeed, this product needs copyright protection. Blockchain is an information technology for data transmission and encryption. It is based on a chain of blocks recording the information about all transactions in the system. Artificial intelligence is the property of artificial intelligent systems to perform creative functions. Those traditionally considered the human prerogative. The use of these technologies will contribute to the development of a more convenient intellectual property management system: the use of blockchain and artificial intelligence in the field of intellectual property management is promising, as it greatly facilitates the digital processes; the use of blockchain helps to improve the protection of patent rights and facilitates the monetisation of intellectual property; artificial intelligence and machine learning make routine processes more effective.
Reflective functioning mediates the relationship between insecure adult attachment and the severity of prolonged grief symptoms
Authors: Giunta Serena , Mannino Giuseppe , Sideli Lucia , Quattropani Maria C. , Lenzo Vittorio
Published: September 2024

Background

This study aimed to investigate the mediation role of reflective functioning (i.e., certainty and uncertainty about mental states) in the relationship between insecure attachment (i.e., attachment avoidance and attachment anxiety ) and the severity of prolonged grief symptoms.

Methods

A cross-sectional study was conducted with 329 bereaved participants (51.7% females, mean age= 46.94 ± 14.62 years). Participants completed the Prolonged Grief Scale (PG-13), the Attachment Style Questionnaire (ASQ), and the Reflective Functioning Questionnaire (RFQ). Demographic and bereavement-related information were also collected.

Results

Certainty about mental states fully mediated the relationship between both the attachment avoidance and attachement anxiety and severity of prolonged grief symptoms.

Conclusions

The findings of this study indicate that reflective functioning impairment, specifically certainty about mental states of self and others, mediate the paths from insecure attachment to prolonged grief symptoms. This suggests that improving reflective functioning may contribute to the treatment bereaved individuals at risk of PGD.