bluuebunny/crossref_metadata_2025 huggingface dataset:
The Role of Elections in Sustaining Peace and Stability in Zimbabwe
Authors: - Bernard Ngwenya
Published: September 2024

This mixed-methods study investigated the role of elections in sustaining peace and stability in Zimbabwe. The study captures the diverse perspectives of electoral players and stakeholders in Zimbabwe. A comprehensive literature search informed the development of interview and questionnaire guides. Semi-structured interviews with 15 stakeholders from the Zimbabwe Electoral Commission's network and a structured questionnaire administered to 384 participants from the general population in two provinces provided valuable insights. Data analysis using NVivo and SPSS software ensured rigour and validity. The findings reveal that election success can be measured through indicators such as the absence of violence, transparency, and accountability. Competitive politics can be peaceful through cooperation and constructive dialogue among political parties. However, elections can either consolidate or compromise stability depending on the context. Power-sharing deals and independent election monitoring are crucial but present significant challenges. Power-sharing deals have a dual-edged nature, potentially mitigating or exacerbating electoral tensions. Independent election monitoring and observation are crucial in ensuring free and fair elections and promoting transparency and accountability. However, concerns about external interference and sovereignty have been raised, which has led to tensions between Zimbabwe and foreign election observers. The study highlights the importance of carefully managing the electoral process to harness its potential as a force for peace and prevent it from becoming a source of conflict. Effective management of the electoral process can promote peace and stability in Zimbabwe, and this study provides valuable insights for policymakers and stakeholders.
Study of Heat Transfer in an Incompressible Electrically Conducting Non-newtonian Fluid over a Linear Horizontal Stretching Sheet
Authors: - Naveen Kumar NP
Published: September 2024

This paper concerns with a steady two-dimensional flow of an electrically conducting non newtoinan fluid over a heated non linear stretching sheet. The flow is permeated by uniform transverse magnetic field the fluid viscosity is assumed to vary as a linear function of temperature. The effects of free convection and internal heat generation or absorption are also considered. Variable fluid properties flow and temperature dependent heat source/sink render the problem intractable. The shooting method is used to solve boundary value problems.
Effective Detection and Mitigation of Browser Hijacking Using Deep Learning Models
Authors: - Sambhav Patil , - Chandra Sekhar Dash
Published: September 2024

Deep learning algorithms have been employed in the detection and prevention of browser hijacking and this research paper seeks to compare the efficiency of the different deep learning algorithms. Browser hijacking is a serious form of cybercrime that affects major internet browsers, and entails the changing of a browser’s settings or behavior without the consent of a user, and generally results in detrimental effects on the privacy and security of a user. To address this challenge, we evaluate five deep learning models: Some of the major types of neural networks are Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory Networks (LSTMs), Autoencoders and Graph Neural Networks (GNNs). In each model, the training and testing data set included the network traffic records, browser activity recordings, screen shots and the system logs. Specifically, for the evaluation of these models the following parameters of detection: accuracy, false positive rate, false negative rate, precision, recall, the F1 factor, the AUC score. I found CNN model to have the highest detection accuracy of 93. 5% and the highest AUC score of 0. 96 showing that CNN was more effective in detecting the hijacking and the benign activities. Other represented algorithms, LSTM and GNN also showed a high level of accuracy with values 91. 2% and 90. 3% accordingly. The accuracy of the RNN model was satisfactory yet its false positive as well as false negative numbers were lower. The used Autoencoder model was most suitable for data anomaly detection but it presented the lowest accuracy and the highest error. The results point out the merits and demerits of each algorithm and indicate that integration of models can boost total identification capacities. All in all, it is possible to underline that this research provides a significant contribution into investigating the applicability of deep learning methodologies for mitigating browser hijacking and enhances the existing knowledge and concepts in the field of cybersecurity.
Development of Sustainable Home Decor Prodoucts
Authors: - Sivarithanya Viswanathan , - Nirmala Varghese
Published: September 2024

The need for sustainable products is growing and the market for sustainable products are increasing. Terracotta earth is one such sustainable material that is easily available and priced low and is used for making endless varieties of products. Carving, shaping, molding, and finishing the terracotta to serve as utility products is an age-old craft that is being practiced in many parts of the world & many states across India. Terracotta has entered global markets and saw its drastic growth. This project focusses on utilizing this craft skill to create sustainable home décor aesthetic planters. Three different styles of aesthetic home décor indoor planters were developed using terracotta.
A Study on Transition in Purchase Behaviour of Consumers from Street Vendors to Online Shopping Due to Corona Virus Pandemic
Authors: - Asema Siddiqui
Published: September 2024

The purchase behaviour of consumers has been different after the outbreak of corona virus pandemic. The aim of this study is to find out the commodities towards which the consumers had resorted to online purchase and the commodities towards which the consumers had retained purchase from street vendors. The researcher had included various commodities like fruits, vegetables, stationery items, milk, fish, meat, clothes, chocolates, accessories, soaps, detergents, dal, rice, pulses, toys, chips, ice-creams, home appliances and plastic items in the study. The researcher would also find out whether the consumers have ordered food from restaurants. Also, whether consumers preferred making pakoras and vada pav at home rather than purchasing it from local street vendors. An interview schedule consisting of statements was prepared in which consumers opinion was measured using 5-point scale from strongly disagree to agree. The study brought to light that more and more consumers resorted to online shopping post the pandemic.
महाकवि भारवि रचित किरातार्जुनीयम् महाकाव्य का पारिस्थैतिक एवं राजनैतिक विश्लेषणः
Authors: - डॉ. वन्दना मिश्रा
Published: September 2024

भारवि अपने अर्थ-गौरव या गहन-गम्भीर भाव-सम्पदा के लिए जाने जाते हैं। उपमा कालिदासस्य भारवेरर्थगौरवम, इस अर्थ-गौरव से मेल खाती एक विदग्ध भाषा और अभिव्यक्ति-कौशल भी उनके यहाँ मौजूद है। राजनीति और व्यवहार-नीति सहित जीवन के विविध आयामों में उनकी असाधारण पैठ है। आदर्श और व्यवहार के द्वंद्व तथा यथार्थ जीवन के अतिरेकों के समाहार से अर्जित पारिस्थैतिक संतुलन उनके लेखन को ‘समस्तलोकरंजक’ बनाता है। लेकिन भारवि मूलतः जीवन की विडंबनाओं और विसंगतियों के कवि हैं, वे उनका सामना करते हैं और उनके खुरदुरे यथार्थ के बीच संगति बिठाने का प्रयास करते हैं। किरातार्जुनीयम् भारवि की एकमात्र उपलब्ध कृति है, जिसने एक सांगोपांग महाकाव्य का मार्ग प्रशस्त किया। माघ-जैसे कवियों ने उसी का अनुगमन करते हुए संस्कृत साहित्य भंडार को इस विधा से समृद्ध किया और इसे नई ऊँचाई प्रदान की। राजनीति और व्यवहार-नीति में भारवि के विशेष रुझान के चलते यह युक्तियुक्त ही था कि वे किरातार्जुनीयम् का कथानक महाभारत से लेते हैं। उन्होंने वनपर्व के पाँच अध्यायों से पांडवों के वनवास के समय अमोघ अस्त्र के लिए अर्जुन द्वारा की गई शिव की घोर तपस्या के फलस्वरूप पाशुपतास्त्र प्राप्त करने के छोटे-से प्रसंग को उठाकर उसे अठारह सर्गों के महाकाव्य में फैला दिया है।
Preparation of Extra Cellular Matrix Scaffold from Bovine Amniotic Membrane
Authors: - Saranya M , - Krishnakanth K , - Remya V , - Rajani C.V. , - Sooryadas S , - Hamza palekkoden , - Dinesh P.T , - Jinesh Kumar N.S
Published: September 2024

Decellularization is a critical process in tissue engineering, aimed at removing cellular components from tissues while preserving the extracellular matrix (ECM). The bovine amniotic membrane (BAM) has gained interest due to its rich ECM composition and potential applications in regenerative medicine. This study, based on the work of Ballesteros et al. (2020) with a modification, explores the decellularization of BAM using chemical and physical method to remove cellular content while preserving the ECM structure and composition. The success of decellularization was evaluated through histological staining. Results demonstrated efficient decellularization with minimal impact on the ECM structure, making BAM a promising scaffold for tissue engineering.
Facial Emotion Identification Using Convolution Neural Networks: Enhancing Human-Computer Interaction
Authors: - Sonia Rani , - Ravinder Kaur , - Abhishek Kaleroun , - Abhishek Gatyan , - Dharminder yadav
Published: September 2024

Facial Emotion identification uses technology to classify the various emotions of humans. Human-Computer Interaction is an emerging field that uses deep learning algorithms to classify human feelings. Convolution Neural Networks (CNN) are the groundbreaking technology to process images in an efficient manner. This paper explores deep learning models on FER-2013 dataset for emotion prediction to analyze facial expression and classify them into different emotions such as Angry, Disgust, Fearful, Happy, Sad, Surprise and Neutral. Convolutional Neural Network (CNN) and ResNet-50 are the two architectures used for this research work. Both the models were trained at 35 epochs. CNN gives 97.83% accuracy and ResNet-50 gives 97.74% accuracy on the FER-2013 dataset. Thus, the result shows that both models are doing well in learning from training data and even have nearly the same performance. The findings of the study hence emphasizes that CNN models have high potential for performing efficient and accurate emotion recognition, but they still require more improvement in terms of generalization on unseen data.
From EHRs to Insights: How Machine Learning is Transforming Healthcare Data Management
Authors: - Ginoop Chennekkattu Markose
Published: September 2024

The care industry is in the middle of a transformation because of the adoption of EHRs and the integration of ML into the framework of healthcare. This article also has the intention of discussing how ML assists in changing the management of healthcare information and, as such, indicates how the raw EHR data can be utilized. Some of the traditional challenges associated with handling immensely large, diverse and geographically distributed healthcare data have been solved by employments of Maxims and the use of intelligence algorisms to encompass data manipulation, pattern recognition and Information content anticipation. First of all, they have not only used the new opportunities to provide better, improved and more efficient services to the patients but also in the area of cost-cutting and introduction of the system of personalized medicine. In this paper, the author explored the place that ML occupies in consideration of the management of healthcare data with reference to techniques such as supervised learning, unsupervised learning, NLP and deep learning. They are then presented with regard to uses such as patient risk assessment, clinical decision-making, and population health. Furthermore, the paper also reveals that the challenges of ‘bringing’ ML into healthcare include the issues of data privacy and ethical questions regarding the data governance efforts needed. The study also proceeds further to talk about the future of ML in healthcare with regard to predictive and precision medicine. Some of the other interdisciplinary integration of ML is a combination of the technology with other currently dominant technologies like blockchain or IoT, where the integration of these two with ML is demonstrated, and other possibilities in the management of healthcare data are explored. In support of the said arguments the article gives instances of cases of the effective application of ML in the health sector as well as giving out tables and figures. To that end, it is important to assert that more research should be done. More monetary investment is made in the development of ML technologies so that these concepts can be better implemented and optimized. These two observations can become more fully realized in their potential to revolutionize the ways in which healthcare information is managed by healthcare providers, technologists and policymakers in the future and now.
Analyzing the Ripple Effect of the Russia-ukraine War on Global Food Security and Economic Stability
Authors: - Utkarsh Chauhan
Published: September 2024

The Russia-Ukraine conflict, a critical geopolitical flashpoint, has triggered far-reaching consequences for global food security and economic stability. This research paper endeavors to conduct a comprehensive analysis of the ripple effect generated by the war, illuminating the intricate interconnections within the international community and the potential ramifications for vulnerable populations. Leveraging statistics, charts, and insights from influential leaders, this paper aims to explore the multifaceted impact on agricultural production, trade disruptions, and economic repercussions.
Awareness, Knowledge, Attitude and Practice of Radiation Hazards and Radiation Protection among the Undergraduate Dental Students in C.S.M.S.S Dental College and Hospital, Chh. Sambhajinagar- A Questionnaire Based Cross-sectional Study
Authors: - Saaniya Shaikh , - Syeda Khuteja , - Kushal Shinde , - Pallavi Divekar , - Anju Sapkal
Published: September 2024

Abstract:
Introduction: Radiation usage has been a common method of diagnosis and treatment planning in dentistry in recent years, evaluation of the awareness, knowledge, attitude and practice of radiation hazards and radiation protection among the undergraduate dental students as they represent future dental practitioners.
Aim: The aim of the study is to assess the awareness, knowledge, attitude and practice of radiation hazards and radiation protection among the undergraduate dental students.
Objective: To analyze the current status of awareness, knowledge, attitude and practice amongst the third year, final year dental students and dental interns participants towards radiation hazards and their protection.
Material and method: A cross-sectional questionnaire was administered to dental undergraduate students at Chhatrapati Shahu Maharaj Shikshan Sanstha (C.S.M.S.S) Dental College And Hospital, Chhatrapati Sambhajinagar, Maharashtra. The data was gathered on awareness, knowledge, attitude and practice of radiation hazards and radiation protection. The sample size of the study was 300 participants, each 100 from third year, final year and dental interns. A validated questionnaire with 20 multiple choice questions about radiation hazards and protection was used for the study. Descriptive statistics were calculated.
Result: The awareness, knowledge, attitude and practice about radiation hazards and radiation protection were highest in dental interns i.e. 66.15%, followed by third year dental students (56.6%) and then final year dental students (55.5%). Among the total participants, majority felt that lectures and tutorials or workshops should be conducted to acquire more knowledge on radiation hazards and protection.
Conclusion: The present study highlights the importance of lectures and training programs for improving the awareness, knowledge, attitude and practice of future dental practitioners. It is recommended that the curriculum of dental school for third and final year dental students should be expanded further to improve their knowledge of radiation hazards and protection. So as to protect the patients and themselves from harmful effects of radiation caused by unnecessary exposure and negligence by the dental practitioners.
The Power of Personality
Authors: Bay Carson
Published: September 2024

Abraham and Moses were perhaps the only two figures that non-Jewish authors of the ancient Mediterranean world would have known about and would have associated with the Jews (or Judeans). The Roman world in particular cared a great deal about famous ancestral paradigms – what they called exempla – and the ancient world writ large had a habit of correlating the defining characteristics of particular exempla and particular peoples. Thus Carthaginians, like Hannibal, were seen as perfidious and Romans, like Scipio, were understood to be brave and impassive. This essay explores a similar dynamic wherein exemplarity and racial (and/or ethnic/national) stereotypes coalesced in Greco-Roman presentations of Abraham and/or Moses as embodiments of Jewish traits. It argues that Greek and Roman authors tended to impute to Abraham and Moses a particular theurgic, magical essence, and that this came to be a stereotype used to categorize the Jewish people. By putting this discourse in the frame of symbolic or cultural power, this article seeks to contribute to our understanding of how exemplarity, the rhetoric of race, and discursive constructions of identity and alterity could function in Greco-Roman and Judeo-Christian antiquity.
Analysis of the Concentration and Specialization of the Sugarcane Production (Saccharum officinarum L.) in Colombian Municipalities between 2007 and 2021
Authors: Mora Villalobos Carlos Albeiro , Rendón Acevedo Jaime Alberto
Published: September 2024

Sugarcane (Saccharum officinarum L.) is a traditional tropical crop that in 2021 represented 58.4% of agricultural production in the Colombia, reaching 42.7 million tons of which 86.2% came from 6 departments. Given that 625 municipalities of a total of 1,121 reported sugarcane production, the objective of this article is to analyze the concentration and specialization of sugarcane production in Colombian municipalities between 2007–2021. The methodology analyzes three statistical databases applying Gini coefficient, Location Coefficient (LQ), Herfindahl-Hirschman Index (HHI) and Moran index, to identify the Agricultural Clusters (CA) in the Colombian sugarcane sector, that are complemented with bivariate thematic cartography. Additionally, sugarcane production, LQ and HHI are correlated with Multidimensional Poverty Index (MPI) for 2018.The results reveal that in 2021, the regional Gini was 0.846, and the municipal Gini was 0.932; there were 215 municipalities identified with LQ greater than 1.0, 163 of which were among the 20% of the highest values. Likewise, there were 255 municipalities where sugarcane represented more than 50% of total agricultural production. Additionally, in 2018, MPI showed higher levels in rural areas of the sugarcane municipalities (average 26.3%, maximum 98.9%, minimum 0.0%); there was only inverse correlation with LQ and HHI in municipalities white sugarcane production for sugar, yet in panela and honey the correlation is low and not statistically significant. In conclusion, a significant regional and municipal concentrations of sugarcane production are observed in Valle del Cauca, Cauca, Santander, Cundinamarca, Boyacá y Antioquia (86.2% of total production). These results should be of interest to regional and municipal governments, guilds institutions, and public policy makers in agriculture and rural development, especially, on issues related to climate change, production costs, associative programs and promotion of the agroindustry.
Comprehensive Analysis of Weather Forecasting Techniques
Authors: - Himanshu , - Dr. Gurvinder Singh , - Dr. Sunita , - Neha Rani
Published: September 2024

Weather forecasting plays a pivotal role in numerous sectors, from agriculture to disaster management, yet traditional methods often face limitations in accuracy and scalability. In response, machine learning (ML) techniques have emerged as potent tools for revolutionizing weather prediction. This review provides a comprehensive overview of ML applications in weather forecasting, delving into algorithms like regression, classification, and neural networks, which exploit vast datasets to capture intricate spatiotemporal patterns in weather phenomena. Ensemble learning strategies further enhance forecast accuracy by amalgamating multiple models. However, challenges persist, including data quality issues and computational demands. Overcoming these obstacles requires innovative approaches, such as integrating ML with physical models and developing explainable AI techniques. Future research directions also include exploring new data sources like remote sensing and social media data. By harnessing the synergy between ML and weather forecasting, we can advance predictive capabilities, aiding decision-making and bolstering resilience against extreme weather events.
Universal point of evaluation to accentuate the access to vision and access to balance, pretext the existence of driving forces prevailed in environment for succeeding towards balanced and secured position on the surface of the earth while on cyclic in nature.
Authors: - Yalla Venkata Chalapathi Rao
Published: September 2024

In the process of ascertaining universal balancing features and accentuate the available limit of access for securing stable standing position in pretext of vision of access and access to balance, considering the cyclic nature of the earth..
Vision of eyes is the point of view towards the sky will be watching narrowly and it will end at both the sides simultaneously. The space of viewing is the reflection of light on the rotating earth..
Evolution of controls in modern timelines, emergence of Governing bodies, hierarchies
Niğde 19. Yüzyıl kiliselerinin biçim grameri bazlı tipomorfolojik analizi
Authors: Doğruer Meryem Sevde , Özen Yavuz Arzu
Published: September 2024

Niğde ilinde Osmanlı dönemindeki Hristiyan toplumun ibadetlerini gerçekleştirdiği kiliseler oldukça fazladır ve çoğunluğu 19. yüzyıl yapılarıdır. Mübadele sonrası başka işlevlerle kullanılan bu yapıların mimari dilini çözümlemenin kent mimarisinin özgün yapısını anlamada önemli olacağı düşünülmüştür. Bu doğrultuda çalışmada kiliseleri birbirinden farklı kılan tasarım özelliklerinin tanımlanma ve sınıflandırılmasında tipomorfoloji ve kiliselerin biçimsel özelliklerinin incelenmesinde de biçim grameri kullanılarak prototipler elde edilmiştir. Niğde 19. yüzyıl kiliselerine ait dört adet tipomorfolojik prototip ve bunların alt tipleri oluşmuştur. Çalışmanın sonunda, elde edilen bu prototipleri etkileyen sosyal ve fiziksel parametreler, Kapadokya Bölgesi’ndeki aynı yüzyıla ait diğer örneklerle karşılaştırılmalı olarak yorumlanmıştır. Mevcut çalışmada, kiliseler üzerinde yapılan yeniden işlevlendirme gibi sınırlı çerçevedeki çalışmalardan farklı bir bakış açısıyla öncelikle kiliselerin mimari dillerinin keşfedilmesi ve bu doğrultuda bir sınıflandırma ile prototip havuzu elde edilmesi hedeflenmiştir. Kent ölçeğinde incelenen örnek sayısı çalışmada sınırlılıklar oluştursa da elde edilen tip havuzunun aynı veya başka bölgelerdeki kilise prototipleri ile zenginleştirilme potansiyeli taşıması çalışmanın olumlu bir özelliğidir.
İç Mimarlık Lisans Eğitiminde Sayısal Tasarım Derslerinin Mevcut Durumunun Tespiti
Authors: Göksel Nisa Nur , Tavşan Filiz
Published: September 2024

Dijital devrimin getirileri hem iç mimarlık pratiğinin hem de eğitiminin kapsamını geliştirmekte ve değiştirmektedir. Tasarımcı adaylarının tabii oldukları müfredatın, dönemin gerekliliklerine yönelik uygunluğunun kontrol edilmesi ve tespit edilen eksikliklerin giderilerek güncellenmesi eşit donanıma sahip tasarımcıların yetiştirilmesi adına önem taşımaktadır. Çalışmanın amacı üniversite ve bölüm türüne bağlı olarak sayısal tasarım ders dağılımlarının saptanması ve bu derslere giren akademisyenlerin görüşlerinin tespit edilmesidir. Sayısal tasarım dersleri içerik analizi yöntemi ile analiz edilmiş ve SPSS programında istatistiksel verilere dönüştürülmüştür. Ders yürütücülerinin anket yöntemi ile elde edilen sayısal tasarım derslerine yönelik görüşleri de SPSS programında analiz edilmiştir. İçerik analizi ve anket yöntemi ile elde edilen ortak bulgular ders içeriği, materyal, yöntem ve beklentiler başlıklarında irdelendiğinde üniversite ve bölüm türüne bağlı olarak müfredatlarda sayısal tasarım derslerinin zorunlu veya seçmeli ders olma durumları, verildikleri yarıyıllar, kredi ağırlıkları, ders içerikleri, kullanılan araçlar bağlamında belirli farklılıkların olduğu tespit edilmiştir. Ders yürütücülerinin yazılım, programlama dili ve sayısal fabrikasyon derslerine ve bu derslerde kullanılan araçlara yönelik farklı görüş ve beklentilere sahip oldukları ancak sayısal tasarım derslerinin iç mimarlık lisans eğitimine yönelik etkisini olumlu buldukları sonuçları elde edilmiştir.
Fotovoltaik hücre teknolojilerinde renk kullanımının irdelenmesi
Authors: Özar Nilşah , Altın Müjde
Published: September 2024

Yenilenemeyen enerji kaynaklarının sınırlı oluşu ve fosil yakıtların yanmasıyla karbondioksit açığa çıkması ile çevreye zarar vermesi insanların alternatif ve temiz bir enerji kaynağı olan fotovoltaik güneş hücrelerine olan ilgisini artırmaktadır. Günümüzde silisyum tabanlı teknolojiler yaygın olmakla birlikte; ince film, organik, perovskite, boya duyarlı, lüminesan güneş hücrelerinin kullanılması üzerine çalışmalar yapılmaktadır. Çalışmada fotovoltaik teknolojileri 3 nesile ayrılmış ve bu teknolojiler renkli üretim açısından sınıflandırılarak tablo oluşturulmuştur. Buradaki her bir hücre tipi örneklerle incelenmiş ve hücre teknolojisinde renk kullanımı irdelenmiştir. Bununla birlikte fotovoltaik hücrelerde renk kullanımının ya da değişiminin enerji üretimini nasıl etkilediği ve mimariye ne gibi fırsatlar sunduğunu ortaya çıkarmak amaçlanmıştır. Sonuç olarak değerlendirme tablosunda verilen örnekler incelendiğinde, her bir teknolojiye ait renk kullanımının olduğu fakat renk kullanımının binaya estetik bir değer kazandırmasının yanı sıra üretilen enerjide verim düşmesine neden olduğu çıkarılmıştır. Fakat renkli fotovoltaiklerin binalara entegrasyonu ile sürdürülebilir, kendi enerjisini üreten binaların tasarımında, mimarların özgür tasarımlar yapabileceği çıkarılmıştır. Bu sebeple çalışmanın, mimarlara tasarımlarında kullanabilecekleri farklı teknolojilere ait güneş hücrelerinde renk kullanımlarının rehber olması hedeflenmiştir.
Peroxisome proliferator-activated receptor agonists: A new hope towards the management of alcoholic liver disease
Authors: Durairajan Siva Sundara Kumar , Singh Abhay Kumar , Iyaswamy Ashok
Published: September 2024

In this editorial, we examine a paper by Koizumi et al , on the role of peroxisome proliferator-activated receptor (PPAR) agonists in alcoholic liver disease (ALD). The study determined whether elafibranor protected the intestinal barrier and reduced liver fibrosis in a mouse model of ALD. The study also underlines the role of PPARs in intestinal barrier function and lipid homeostasis, which are both affected by ALD. Effective therapies are necessary for ALD because it is a critical health issue that affects people worldwide. This editorial analyzes the possibility of PPAR agonists as treatments for ALD. As key factors of inflammation and metabolism, PPARs offer multiple methods for managing the complex etiology of ALD. We assess the abilities of PPARα, PPARγ, and PPARβ/δ agonists to prevent steatosis, inflammation, and fibrosis due to liver diseases. Recent research carried out in preclinical and clinical settings has shown that PPAR agonists can reduce the severity of liver disease. This editorial discusses the data analyzed and the obstacles, advantages, and mechanisms of action of PPAR agonists for ALD. Further research is needed to understand the efficacy, safety, and mechanisms of PPAR agonists for treating ALD.
Impacts of governance and ESG elements in cloud computing: A theoretical and practical analysis
Authors: Ideyama Fernando , Becker João Luiz
Published: September 2024

Objective: Identify whether the use of cloud computing technology enhances or meets the contributions related to the impact on ESG. Methodology: Exploratory quantitative study, applying research with 260 respondents using the statistical technique of Partial Least Squares Structural Equation Modeling (PLS-SEM). Originality / Relevance: The article discusses the relationship between the use of cloud computing technology and the veracity of the information presented by organizations on the impacts generated in ESG initiatives. Results: The results showed that there is a dissonance between sustainable practices and the use of cloud computing technologies, as there is no conception in the planning of organizations to use cloud computing services with issues related to ESG initiatives. While it was important to address positive impacts from a corporate perspective in our research, it was equally critical to address key stakeholders on ESG issues and corporate transparency related to disclosure of information. Social / Management Contributions: The benefits of cloud computing from an ESG perspective are clear, but companies must address the challenges in order to fully reap the benefits offered. Proper management of cloud computing reports can help support ESG initiatives by automating processes and standardizing data, providing greater transparency within the organization and to society. Organizations will also need to acquire new talent with experience and knowledge of sustainability principles.
THE ROLE OF WOMEN SCIENTISTS IN THE DEVELOPMENT OF SCIENCE IN THE RENEWED UZBEKISTAN: CURRENT STATE, PROBLEMS
Authors:   Master’s student at Specialty Methodology of teaching social and humanitarian Sciences, Uzbekistan, Ismatullayevna Bobobekova Nargiza
Published: September 2024

This article examines the reforms carried out in the renewed Uzbekistan and the principle of human interests and its high value in their fundamental essence. Based on this principle, public attention to women, the importance of regulatory documents aimed at increasing their participation, prestige and place in the life of the state and society, protecting their rights and legitimate interests, their practical implementation, existing problems among women are covered. Based on the strategy of Gender development, prospective development trends were analyzed. The novelty of the issue raised in the article was from the problems of today, when the proportion of women in the fields of science was analyzed in the section of Sciences. This study was studied on the example of Jizzakh State Pedagogical University and showed the current achievements and problems. Also, in the development of Science in Uzbekistan, proposals and recommendations were developed aimed at further increasing the share of women scientists.
EXPLORING ECHOES OF EMPOWERMENT AND ANDROCENTRISM: A FEMINIST STUDY OF AWAIS KHAN’S “IN THE COMPANY OF STRANGERS”
Authors:   Department of Literature, Government College University Faisalabad, Pakistan, Sabir Muhammad Rehan , Asim Maryam ,   Department of Literature, Government College University Faisalabad, Pakistan, Khan Munazza Jamshed ,   Institute of Language and Literature, Riphah International University, Islamabad, Pakistan, Nawaz Muhammad Haseeb ,   Department of Literature, Government College University Faisalabad, Pakistan
Published: September 2024

Awais Khan’s literary excellence “In the Company of Strangers” revolves around the female characters, in which he engages in the complicated themes of relationships, social expectations, self-fulfilment, women empowerment, and feminist creation. Through his writings, having portrayed different age groups and social classes with great sensitivity, he presents his groundbreaking work as a vital platform to give extended voice to the featured stories that would ordinarily not be heard in mainstream anglophone Pakistani literature. Through the novel under analysis, the writer reinforces the literary landscape of the country, adding the depth and complexity of stories that shine the light on the manifold diversities of women's experiences. By employing the idea of ‘gender’ proposed by Simon de Beauvoir and Judith Butler respectively, this paper aims to unmask the patterns of female self-drive and marks of domestic violence intricated in the structures of endocentric capitalism.
Reconocer el paisaje a través de su representación gráfica histórica: una lectura patrimonial de la ciudad de Itálica
Authors: Maruri Arana Ainhoa , Castellano Bravo Beatriz , García de Casasola Gómez Marta
Published: September 2024

A partir del análisis diacrónico de las representaciones gráficas de la ciudad romana de Itálica, el artículo propone un procedimiento para la caracterización patrimonial de los paisajes culturales complementario a los ya ensayados desde los ámbitos académicos y administrativos. La relevancia de la dimensión paisajística de Itálica, tanto por razones de emplazamiento histórico y visibilidad, como por su potencialidad actual en la articulación espacial y cultural del área metropolitana de Sevilla, hacen de este caso de estudio un ejemplo paradigmático, evidenciando la aplicabilidad de esta metodología en el diseño y la planificación de las políticas culturales y de ordenación territorial. El ejercicio interpretativo realizado sobre una selección de imágenes muestra cómo se ha comprendido y comunicado el territorio de Itálica en cada etapa histórica -desde grabados a fotografías o collages- y permite comprobar cuáles son los atributos materiales e inmateriales que han perdurado en nuestro imaginario, participando en la construcción de la imagen simbólica de lo que hoy se reconoce como un paisaje cultural, más allá de la figura administrativa de protección y gestión.
History of the lake Antyukh-Lambina (Kandalaksha coast, White sea) based on multi-proxy studies of bottom sediments
Authors:   Herzen University, Saint-Petersburg, Grekov I. M. , Syrykh L. S. ,   Herzen University, Saint-Petersburg, Nazarova L. B. ,   Kazan (Volga) Federal University, Kazan
Published: September 2024

The paper presents the results of multi-proxy investigation of bottom sediments of Antiukh-Lambina lake. The age of the studied sediments starts from the early Holocene. Lithological analysis indicated continuous sedimentation during the Holocene. Diatom analysis showed that at the initial stages of development the lake was represented by a brackish water body. Desalination of water leads to an increase in the biodiversity of microbionts. The accumulation of organic matter occurs gradually throughout the development of the lake. Quantitative recon-struction of mean July air temperatures and water depth was carried out on the basis of chironomid analysis. During the studied period, water depth and mean summer temperatures gradually increased.
Роль древесных пород в формировании растительности голоцена на о. Анзер (Белое море) по данным спорово-пыльцевого анализа донных отложений оз. Надбанного
Authors:   Herzen State Pedagogical University, St. Petersburg, Levkova D. N. , Sapelko T. V. ,   INOZ RAS – SPC RAS, St. Petersburg, Leontiev P. A. ,   Herzen State Pedagogical University, St. Petersburg, Subetto D. A. ,   Herzen State Pedagogical University, St. Petersburg
Published: September 2024

Lake sediment sequences of the small Lake Nadbannoye on Anzer Island (Solovetsky Archipelago, White Sea) have been analyzed. Lake located at the highest elevation of 20–21.5 m a. s. l. relative to other lakes studied on the island. Based on the results of pollen analysis, the dynamics of vegetation from the Late Glacial period and during the Holocene was traced. In this research, the special attention is paid to the dynamics of tree species, which are an important component of the vegetation cover in the study region. Changes in the composition of tree species here are the basis for the identification of pollen zones. Throughout the entire studied period, the forest-forming species was birch, with pine being of secondary importance. A low content of spruce was noted, which is not typical for other sites of the White Sea region. Broad-leaved species clearly mark the boundaries of the Atlantic period. Anthropogenic influence has been recorded since the Subboreal period, which is confirmed by the dynamics of tree species, as a result of deforestation as a result of human activity. Radiocarbon dating confirms the pollen data.
Some results of the joint study of Quaternary sediments on the White Sea coast and ground to reconstruct paleogeographic events of its development in the Late Neopleistocene - Holocene boundary
Authors:   Institute of Earth Sciences, St. Petersburg State University, Rybalko A. E. ,   Acad. I. S. Gramberg All-Russian Research Institute of Geology and Mineral Resources of the World Ocean, St. Petersburg, Russia,   OJSC «Marine Center», Moscow, Russia, Zaretskaya N. E. ,   Acad. I. S. Gramberg All-Russian Research Institute of Geology and Mineral Resources of the World Ocean, St. Petersburg, Russia,   Institute of Geography, RAS, Moscow, Russia, Korsakova O. P. ,   Acad. I. S. Gramberg All-Russian Research Institute of Geology and Mineral Resources of the World Ocean, St. Petersburg, Russia,   Geological Institute of the Kola Science Center RAS, Apatity, Russia, Repkina T. Yu. ,   Acad. I. S. Gramberg All-Russian Research Institute of Geology and Mineral Resources of the World Ocean, St. Petersburg, Russia,   Institute of Geography, RAS, Moscow, Russia, Vashkov A. A. ,   Acad. I. S. Gramberg All-Russian Research Institute of Geology and Mineral Resources of the World Ocean, St. Petersburg, Russia,   Geological Institute of the Kola Science Center RAS, Apatity, Russia, Belyaev P.Yu. ,   Acad. I. S. Gramberg All-Russian Research Institute of Geology and Mineral Resources of the World Ocean, St. Petersburg, Russia, Baranov D. V. ,   Acad. I. S. Gramberg All-Russian Research Institute of Geology and Mineral Resources of the World Ocean, St. Petersburg, Russia,   Institute of Geography, RAS, Moscow, Russia, Orlov A. V. ,   Acad. I. S. Gramberg All-Russian Research Institute of Geology and Mineral Resources of the World Ocean, St. Petersburg, Russia,, Subetto D. A. ,   Acad. I. S. Gramberg All-Russian Research Institute of Geology and Mineral Resources of the World Ocean, St. Petersburg, Russia,   Russian State Pedagogical University, St. Petersburg, Terekhina Ya. E. ,   Acad. I. S. Gramberg All-Russian Research Institute of Geology and Mineral Resources of the World Ocean, St. Petersburg, Russia,   Lomonosov Moscow State University, Moscow
Published: September 2024

The work is devoted to clarifying the history of the development of the White Sea in the Late Neopleistocene-Holocene by combining land and sea research in one project. The work was carried out in the Kandalaksha Bay of the White Sea, on the Solovetsky Archipelago and adjacent water area, and on the southern coast of the Kola Peninsula. New seismic-stratigraphic data were obtained on Quaternary deposits of the transition zone from the deep-water part of Kandalaksha Bay to its narrow shallow part. A combined (land-sea) geomorphological scheme and map of the last glaciation for the Solovetsky Islands were compiled; based on the study of several key areas, a paleogeographic scheme of evolution from glacial-lacustrine to glacial-marine-deep-sea and shallow marine and coastal aeolian deposits was created. For Quaternary deposits in the south of the Kola Peninsula, wells were drilled, including up to the crystalline basement.
Problematyka tworzenia wielowariantowych studiów chłonności terenu z wykorzystaniem współczesnych narzędzi i gier na przykładzie urbanistycznej gry w osiedle
Authors:   Katedra Urbanistyki i Planowania Przestrzennego, Wydział Architektury, Politechnika Śląska, Bradecki Tomasz , Bal Daria , Dymarska Natalia , Sanigórska Marta
Published: September 2024

Problematyka intensyfikowania zabudowy mieszkaniowej jest współcześnie wyzwaniem, które można wirtualizować w formie gier. Grę w osiedle – autorską grę karcianą – wykorzystano jako narzędzie do tworzenia wielowariantowych studiów chłonności terenu. W tekście przedstawiono eksperyment, w którym opisano dwa projekty urbanistyczne osiedli, których pierwowzorem były koncepcje karciane. Celem artykułu jest przedstawienie, w jaki sposób wirtualne koncepcje bazujące na elementach gier mogą być przydatne w tworzeniu skończonych profesjonalnych opracowań studialnych.
New opportunities for community spaces on the edge of agglomeration. Analysis of rural public spaces and public space situations around Budapest
Authors:   Department of Urban Planning and Design, Budapest University of Technology and Economics Faculty of Architecture, Dormán Miklós
Published: September 2024

The study analyzes settlements around the capital that used to have the patterns of rural settlement types, but in the last 5–10 years they have been reached by the typical stratum of the urban population, which means the emergence of other patterns, thereby starting the urbanization processes in the settlements. Therefore, we are looking for guidance on the use of space in settlements where there is a family population moving out of the capital, but commuting to the city is no longer typical.
Does Fetal Renal Disease Have a Hemodynamic Effect in the Prenatal Period? A Detailed Analysis Method with Fetal Echocardiography
Authors: Yılmaz Ergani Seval , Yılmaz Osman
Published: September 2024

Aim: Is there a change in the circulatory system in fetuses with renal disease in the prenatal period to make hemodynamic assessments. In addition, fetal cardiac functions in the same patients will be studied in detail using fetal echocardiography.
Material and Method: Thirty-one fetuses with renal disease were included in the study; 4 with polycystic kidneys, 4 with bilateral hydronephrosis, 12 with unilateral hydronephrosis, and 28 with pelvicalyceal ectasia. In the control group, there were 30 fetuses of the same gestational week without renal disease. The circulatory system and hemodynamic status were examined in detail by fetal echocardiography in both groups.
Results: High umbilical artery pulsatility index (PI) values were observed in 2 fetuses with bilateral hydronephrosis and 2 fetuses with unilateral hydronephrosis. The PI values of the middle cerebral artery were high in 2 fetuses with bilateral hydronephrosis and 2 cases with isolated pelvicalyceal ectasia. When the right and left myocardial performance index values of fetuses with renal disease were compared with normal fetuses, no significant results were observed, but the tricuspid valve pulse Doppler was abnormal in fetuses with fetal kidney disease. In addition, the right spherical index was higher in fetuses with renal disease than in the control group.
Conclusion: Although there is no functional change, morphologic findings of right ventricular overload can be observed in fetuses with fetal renal disease.
An Empirical Analysis of the Effectiveness of Government Fiscal Policies in Promoting Sustainable Economic Growth in India
Authors:   Alliance School of Business, Alliance University, Kashni T.
Published: September 2024

This research scrutinizes the effectiveness of government fiscal policies in cultivating sustainable economic growth in India. Drawing on an extensive dataset spanning over a decade, the study meticulously examines crucial fiscal variables, encompassing Gross Domestic Product (GDP) growth, inflation rates (Consumer Price Index and GDP deflator), and real interest rates. Through rigorous statistical analysis, elucidate the intricate relationships between these variables, casting light on the nuanced impact of fiscal measures on the Indian economy. Findings underscore the pivotal role of fiscal policies in shaping economic trajectories. Notably, a substantial negative correlation between real interest rates and economic growth underscores the critical importance of interest rate management. Furthermore, positive correlations between GDP growth and inflation rates signify the delicate balance required for optimal economic stability. This research delves deep into the contextual nuances, considering historical events and policy changes that have influenced these relationships. This research not only contributes empirical insights to the field of finance but also furnishes actionable recommendations for policymakers. By comprehending the intricate interplay of fiscal variables, policymakers can craft more targeted and effective strategies, fostering sustainable economic growth and ensuring the long-term prosperity of the Indian economy.
Uso irracional dos AINES, a automedicação problema de saúde pública brasileira
Authors: Almeida Douglas José Corrêa de , Mendonça Larissa Aguiar de
Published: September 2024

Introdução: O uso inadequado dos AINEs é uma prática imprópria de administração dos fármacos, sendo a automedicação um desses exemplos. O uso irracional de medicamentos é uma das preocupações crescente em todo o mundo. Objetivo: Descrever as consequências do uso irracional dos AINES e quais são os principais fatores que levam à automedicação da população.  Metodologia: Este estudo adota uma abordagem de revisão integrativa da literatura, utilizando as bases de dados SciELO, PubMed, Google Scholar e Publish or Perish como fontes primárias. Os critérios de inclusão estabelecidos para esta análise compreendem a disponibilidade gratuita do texto completo em português, inglês ou espanhol e a publicação entre os anos de 2019 e 2024, e a relevância direta para os objetivos propostos. Resultados: Observou-se que as publicações sobre o uso irracional dos AINEs, usados mundialmente pelas pessoas, meio que acaba atrapalhando o tratamento farmacoterapêutico, por uma má administração ou por indicação, vizinhos, amigos, família e até mesmo marketing por isso é bom ter um profissional da área da saúde para que de uma boa adesão ao tratamento. Conclusões: diversos estudos científicos constataram os fatores que contribuem com a automedicação, são a falta de informações que as pessoas têm, ou condição financeira baixa entre outras coisas por isso fazem o uso irracional, e uma coisa que contribui e muito são as pessoas indicando umas as outras, poe isso o profissional farmacêutico nessas horas são cruciais para que ele faça um bom tratamento farmacoterapêutico.
Az ENSZ globális terrorellenes stratégiája
Authors: Stauber Péter
Published: September 2024

The author highlights the circumstances of the adoption of the Strategy and provides a detailed analysis of the text and its review mechanism.
Unmasking Denial in Symptomatology: Delving into the Psychological, Sociocultural, and Contextual Factors of Denial of Patient Symptoms
Authors: Sharma Saksham Sharma , Khanna Sukul , Reshi Amrutha , Shah Dhruvi , Pothiwala Aayush , Nair Shreya , Sajja Joshua
Published: September 2024

Background: Symptom denial is a multifaceted response, intricately woven with individual psychology, societal pressures, and environmental cues. This Narrative review delves into this complexity, spotlighting the critical role of a patient's mindset in determining their acceptance or denial of a disease.
Objectives: The literature aims to elucidate the denial of symptoms and its various underlying factors to make healthcare more inclusive of these variations in patient presentations.
Methods: A literature search was conducted across the PubMed database, and hand searches were done on Google Scholar to acquire literature based on SANRA guidelines with structured inclusion and exclusion criteria.
Results: The culmination of this exploration underscores the intricate nature of symptom denial, revealing its multifaceted origins within individual psychology, societal norms, and the broader environment. Denial emerges not as a monolithic reaction but as a nuanced interplay of coping mechanisms, cultural beliefs, socioeconomic factors, and health literacy.
Discussion: Acknowledging these complexities is vital for tailored healthcare approaches. By unraveling the layers of denial, we pave the way for informed interventions that respect diverse perspectives and foster improved symptom acknowledgment, ultimately enhancing overall well-being and patient outcomes.