bluuebunny/crossref_metadata_2025 huggingface dataset:
Stress-Level Detection Using RepVGG Neural Network
Authors:   Department of Information Science and Engineering Don Bosco Institute of Technology, Bengaluru, India  Pin - 560074, G Divya Shree
Published: May 2024

Stress used to impact our mental and physical well-being,productivity,and overall quality of life. Detecting stress accurately is vital for timely intervention and effective management. In this study, we introduce a new method for detecting stress levels using the RepVGG deep learning architecture. RepVGG stands out for its efficient performance and straightforward structure, making it ideal for analyzing physiological signals and other stress indicators. We using standard metrics to calculate the things like accuracy, precision, recall and etc. Ourfindings reveal that the RepVGG-based method excels in detecting stress levels, surpassing many traditional methods and other deep learning models. Moreover, the model shows strong generalization capabilities across various datasets and conditions. This research underscores the potential of advanced deep learning models like RepVGG in stress detection, opening doors for real-time, scalable, and precise stress monitoring systems. Looking ahead, weaim to integrate this model into wearable devices andmobile apps, enabling continuous stress monitoring and offering personalized stress management advice. Some approach utilizes a rich dataset consists of signals such (HRV) and (GSR), along with other relevant biomarkers. To ensure the model's robustness, we preprocess and augment this data. We then train the RepVGG architecture on this dataset, harnessing its Neural layers for feature extraction and its unique re-parameterizable design for efficient use.
Weather, Air Pollution, Rainfall Monitoring with ZigBee System
Authors:   AISSMS Institute Of Information Technology ,Pune, Patil Varsha
Published: May 2024

based air and rainfall detection system. The design and development of a ZigBee-based monitoring system is a key component of this paper. The proposed monitoring system is in need of the hour in metro cities of dense population countries like India. The carbon emission from industries and a large number of vehicles in metro cities in India demand low-cost, low-power, real-time distributed monitoring systems. We have chosen Pune city in Maharashtra, India for the implementation of the monitoring system due to the frequent changes in weather and rainfall conditions observed in 2019. Our main objective is to provide real-time monitoring of air quality at distributed locations by using ZigBee-based distributed real-time air quality monitoring. The extra efforts that we have done here is to observe and monitor Pollution levels after and before rainfall in Pune City, India. The highlight of this paper is the establishment of the interrelation of air pollution and rainfall and the comparisons of environmental monitoring Keywords: - ZigBee,AQI, rainfall monitoring, , air quality, weather monitoring, Pune India weather, GSM, GPRS, environment monitoring, Wireless sensor networks, MQ135.
Blockchain-Enabled Technique for Privacy Preserved Medical Recommender System
Authors:   Guru Nanak Institute of Technology, CSE Department, Hyderabad., M. Ajaykumar
Published: May 2024

With the proliferation of privacy issues surrounding the Internet of Medical (IoMT) recommender system data, this study presents a Secure Recommendation and Training Technique (SERTT) which is contingent on a combination of both federated learning and blockchain approaches. Firstly, the study presents a new framework for recording, sorting, and transmission of IoMT data while incorporating blockchain to ensure that the IoMT data transmitted to cloud servers is not made vulnerable by the sharing of the original data. Secondly, by utilizing medical data, the study designs a Recommender Data Management Neural Architecture (REDMANA) which is based on federated learning and model searching training framework. The proposed technique guarantees that the model gradients which are trained by each node are not disclosed all through the universal training and modelling procedure. This makes the raw data inaccessible to either the IoMT data provider or the user. Considering that the model ensures that users can only obtain their necessary inquiries, neither medical data suppliers nor users can obtain access to raw data. Thus, it reduces the issues of safeguarding medical data sets to the issues of securing data processing. Using numerical analysis and experiments the proposed technique is compared with other existing techniques, the result shows that the proposed SERTT system is efficient and secures recommender data management training and modelling technique and that it performs previously designed techniques as compared.
A User Priorities Based Strategy for Three Phase Intelligent Recommendation and Negotiating Agents for Cloud Services
Authors:   Guru Nanak Institute of Technology, CSE Department, Hyderabad, Kumar M. Ajay
Published: May 2024

As the field of information technology expands, there is a huge need for cloud service providers (CSP). CSP’s vast solutions and services support Cloud, IoT, Fog, and Edge computing. In today’s competitive cloud market, customer satisfaction is critical more than ever. CSP and consumer satisfaction with service level agreement (SLA) fulfilment have always been given more attention. As a result of signing SLA and CSP agreements to supply resources in high demand, customers are now experiencing issues with resource delivery. Cloud and heterogeneous environments necessitate an intelligent recommender and negotiation agent model (IRNAM) to handle responsibilities in the current system. The Recommender system recommends CSP as per users’ priorities, which eases the filtration process. The negotiation process provided by IRNAM ensures that users’ choices are prioritized with maximum jobs to CSP. IRNAM keeps track of the most critical metrics and can reach decisions quickly and for the best possible deal. It uses an analytical concession algorithm that analyzes consumer and CSP choices to find a reliable, secure server with the simplest solution. The negotiation process uses user’s and CSP choice metrics, performance factors, evaluation measures, and success factors in the best execution time to decide. IRNAM provides a flexible and valuable way for selecting CSP and negotiating for services on the user’s terms while considering CSP satisfaction.
Deforestation Detection Using Deep Learning Manthan Surjuse
Authors:   Computer Engineering, PES MCOE, Pune, Maharashtra, India, Surjuse Manthan
Published: May 2024

This is a major environmental problem that affects many countries around the world” (World, 2020). In this paper, we have explored several methods of automatic method for deforestation detection such as Early Fusion Convolutional network (EFCN), Siamese Convolutional Network (S-CNN) and Support Vector Machine (SVM). As shown in all experimental results, EFCN can obviously outperform S-CNN and SVM. This work is aimed at presenting a novel curated dataset and also an approach based on deep learning, more specifically Convolutional Neural Networks (CNN) combined with cutting edge data processing techniques to solve the forestation problem. These tools, combined with more advanced deep learning models and higher resolution satellite imagery, have greatly expanded our ability to do this. Finally, this paper explains a tool for daily the detection of rainforests deforestation in satellite images from MODIS/TERRA sensor using Artificial Neural Networks and U-net architectures. “What Comes to Mind When Considering Deforestation. Image, satellite images, deep learning, and CNN (Convolutional Neural Network).”
Traffic Sign Detection Under Foggy Environment Using Machine Learning
Authors:   Savitribai Phule Pune University Pune, India, Sonar Mr.Vishal
Published: May 2024

Road signs are important to ensure smooth traffic flow without bottle necks or mishaps. Road symbols are the pictorial representations having different necessary information required to be understood by driver. Road signs in front of the vehicle are ignored by the drivers and this can lead to catastrophic accidents. This paper presents an overview of the traffic sign board detection and recognition and implements a procedure to extract the road sign from a natural complex image, processes it and alerts the driver using voice command It is implemented in such a way that it acts as a boon to drivers to make easy decisions. Traffic sign recognition is a critical component of modern intelligent transportation systems, contributing to road safety and efficient traffic management. This paper presents a novel approach to traffic sign recognition based on Convolutional Neural Networks (CNNs). Key Words: CNN, Pre-processing, Feature Extraction.
Disease Prediction Using CNN Algorithm
Authors:   Professor, Dept. of Information Technology, Smt. KashibaiNavale College Engineering, Pune 411041, Jagtap Prof. Priyanka T.
Published: May 2024

In this project, I have endeavored to revolutionize disease detection by harnessing the power of artificial intelligence, allowing users to effortlessly and accurately identify three specific diseases from the comfort of their own homes with just a few clicks. This innovative approach eliminates the need to endure days of anticipation for traditional diagnostic reports, ensuring that treatment can commence promptly. The cornerstone of this project lies in the application of Convolutional Neural Networks (CNNs), a cutting-edge deep learning technology. These networks are designed to take input images, meticulously analyze them, and allocate importance to various elements within the images, such as specific features or objects. By learning from vast datasets, CNNs become proficient in distinguishing between different elements, which, in our case, are essential for the accurate identification of diseases. In conclusion, this project represents a significant step forward in democratizing healthcare and disease detection. By leveraging AI and CNNs, it empowers individuals to proactively manage their health, obtain rapid diagnoses, and access prompt treatment. As the project continues to evolve and adapt, its potential to revolutionize disease detection becomes increasingly evident, promising a future where technology and healthcare work hand in hand to improve patient outcomes and overall well-being. Key Words: Disease prediction, CNN.
HIV Risk among Transgender Women: A Systematic Review of the Global Literature
Authors: Fernandez Patricia , Bruna Sean , Yu Yeon Jung
Published: May 2024

This review examines the global literature concerning HIV/STI risk factors among transgender women (TGW). The effects of marginalization intersecting with sex work, stigma, and abuse as well as sex- and drug-related risk behaviors merit a systematic review to enable a better understanding of how these factors impact HIV/STI transmission among TGW. The current paper synthesizes the results of 36 studies conducted in multiple cultural settings. Though the selected studies similarly found heightened HIV risks faced by TGW, the focuses varied concerning the impacts of HIV-related dynamics. These variances included the effect of sex work, social stigma, various forms of abuse/violence, sex- and substance risk behaviors, mental health, housing, employment, and the relationship between HIV and other STIs. While focus and results varied, the findings are in consensus that a lack of safe-sex knowledge, various forms of abuse/violence, and diminished autonomy accelerate the TGW’s risks of HIV/STIs. Variations in findings may be attributed to specific sociocultural settings and various research methods as well as differences in the risk factors being studied. This points to the need for more empirical studies – particularly those that specifically target TGW and the mechanisms of HIV/STI transmissions among the highly vulnerable population.
Multimodal Discourse of Corporate Public Service Advertisements: A Case Study of China UnionPay’s “The Fairy Tale of Poetry”
Authors: Li Anqi , Li Yizhuo , Zhang Jiayi , Fan Li
Published: May 2024

Multimodal discourse is a crucial method for presenting information in a comprehensive and impactful manner. Public service advertisements, in particular, employ multimodal discourse to convey distinct economic and social significance. This study examines the qualities and effectiveness of corporate public service discourse by analyzing China UnionPay’s public service advertisement “The Fairy Tale of Poetry”. The video is initially annotated using Elan. The video discourse analysis has three components: ideational meaning, interpersonal meaning, and textual meaning, which are all derived from Visual Grammar. The study of text conversation is thereafter conducted via LancsBox and Wordless. Several suggestions are put up to enhance the communication effectiveness of public service advertisements: Regarding video discourse, it proposes developing a strong connection between color, focus, and content. This may be achieved by employing visual storytelling strategies, such as altering backdrops, employing complete and metonymic representation, employing a chronological narrative, and integrating texts and pictures. Within the realm of verbal communication, the deliberate selection of sentence length and structure, together with the frequent use of significant words and the incorporation of a dialect, work together to highlight the significance of core ideas and evoke emotional resonance.
Fatigue in long-COVID; frequency, severity and impact on quality of life
Authors: Ocak Özgül , Şahin Erkan Melih
Published: May 2024

Objective: The aim of our study was to investigate the frequency, severity, and impact on quality of life related to fatigue during the prolonged period of COVID-19.
Methods: The cross-sectional study consists of data of 266 participants aged 18 and above, all with confirmed diagnoses of COVID-19. Participants' fatigue severity was assessed using the Modified Fa-tigue Impact Scale (mFIS) and their quality of life using the Nothingham Health Profile (NHP).
Results: Of the 266 participants, 60 reported no fatigue complaints, 132 experienced fatigue during the acute illness that subsequently resolved and 74 (33.6%) noted persistent fatigue beyond the acute ill-ness period. Participants with fatigue exhibited significantly lower quality of life scores compared to those without, particularly affecting the NHP Pain, Physical Activity, and Energy subscales. The NHP scores positively correlate with mFIS scores.
Conclusion: This study revealed that fatigue, which continues during the long-COVID period, impairs the quality of life in relation to its severity. Fatigue was notably associated with a reduced quality of life, particularly evident in the energy sub-dimension. These findings underscore the importance of add-ressing and managing post-COVID fatigue for improved overall well-being.
Meme kanseri hastalarında östrojen reseptörü ile YAP ifadesi arasındaki ilişki: bir meta-analiz çalışması
Authors: Erol Özlem
Published: May 2024

Amaç: Bu meta-analizde meme kanseri hastalarında östrojen reseptörü (ER) ile YAP protein ifadesi arasın-daki ilişkinin ortaya konulması amaçlanmıştır. YAP proteini, karsinogenez ile ilişkisi bilinen hippo sinyal yolunda efektör bir moleküldür. Mevcut kanıtlar meme kanserinde östrojen reseptörü ile YAP arasındaki ilişkiye dair çelişkiler içermektedir. Meme kanserinde östrojen reseptörü ile YAP ilişkisinin ortaya çıka-rılması YAP’ın rolünü ve terapötik hedef olma potansiyelini anlamaya katkı sağlayacaktır.
Yöntem: Bu çalışmada, birincil araştırmaların birlikte yorumlanmasına olanak veren meta-analiz yöntemi kullanıldı. Çalışmaya YAP ifadesinin immünohistokimyasal olarak belirlendiği dokuz tane birincil çalış-ma dâhil edildi.
Bulgular: Meme kanseri hastalarında yüksek YAP ifadesi ile ER negatifliği arasında anlamlı bir ilişkili olduğu belirlendi (OR=0,739, %95 CI=0,577-0,946, p=0,016). Alt grup analizleri ise, nüklear ve sitoplaz-mik YAP ifadesi ile ER arasında anlamlı bir ilişki olmadığını, hücre genelindeki yüksek YAP ifadesinin ise ER negatifliği ile anlamlı bir ilişkisi olduğunu gösterdi (OR=0,526, %95 CI=0,388-0,712, p=0,000).
Sonuç: YAP ile ER arasında belirlenen ilişki YAP’ın, ER+ tümörlerde daha düşük ifade ile tümör baskıla-yıcı rolünü, ER- tümörlerde ise yüksek ifade ile onkogenik rolünü destekler. Bizim verilerimiz ER- alt tiplerde YAP’ın terapötik potansiyeli olabileceğini destekler. Fakat bu meta-analizde, dahil edilen çalışma sayısının sınırlı olduğu, ağırlıklı olarak Güneydoğu Asya popülasyonuna ait verileri içerdiği ve çalışmala-rın metodolojik farklılıklarının önemli sınırlılığa neden olabileceği unutulmamalıdır.
Mahtumkulu'nun şiirlerinde iyi ve kötü kavramları
Authors: Abdyllayev Ovezmuhammet
Published: May 2024

Şairler sözcükleri adeta konuşturan, onların içeriklerini sembollerle dolduran, lugat anlamlarını yeni anlamlarla zenginleştiren özellikteki kişilerdir. Türkistan’ın XVIII. yüzyıl sembol isimlerinden ve türkmen edebiyatının zirveye ulaşmasında önemli katkısı olan nadir şahsiyetlerden sayılan Mahtumkulu Firaki kelimeleri ilmik ilmik dokumuş, gerek dini literatürde gerekse hayatın diger alanlarına ait olanlarını şiir sanatıyla buluşturararak yeniden işlemiştir. Şairin de üzerinde titizlikde durduğu iyilik ve kötülük kavramları gerek türkmen edebıyatında, gerekse genel türk halklarınını edebiyatında asıl anlamlarının dışında çeşitli anlamlar kazanmış, zamanla iyi ve kötü insanı simgelemekte kullanıla gelmiş kavramlardan sadece birkaçını oluştururlar. Türkmen şairleri iyi ile kötüyü ayırdetmekte söz konusu iki kavrama sürekli başvurmuşlar, dolayısıyle insanın fıtri özelliklerinden olması hasabiyle iyilik ve kötülük kelimelerine şiirsel boyut kazandırmışlardır. Türkmenlerin bir filosof, bir bilge şair olarak kabul ettiği Mahtumkulu başta olmak üzere Sufi Allahyar, Vefayi, Nurmuhammet Andalıp, Zelili, Seydi, Mollanefes, Kemine gibi Türkmen şairleri iyi insanın niteliklerini ve kötü insanın temel özelliklerini anlatırken, iyilik ve kötülük kavramları onların dünyaya, doğaya ve insana bakış açılarını ortaya koymada birer sembol haline gelmiştir. Bu kavramların aracılığı ile Türkmen toplumunun hayat algısını, dünya gürüşünü, metafizik bakış açısını tüm boyutı ile ortaya koymuşlardır. Bu çalışmada, Mahtumkulu’nun şiirlerinde iyilik ve kötülük kavramının anlam içeriği serdedilmiş ve bu kavramların bir sembol olarak hangi anlam açılımına sahip olduğu izah edilmiştir.
Anahtar Kelimeler
Iyilik, kötülük, Mahtumkulu, Türkmen edebiyatı, sembol.
Clarice Lispector: melancolia de Jean Starobinski
Authors: Celuppi Fernanda Eméri Mokfa Matitz
Published: May 2024

Este ensaio estabelece um diálogo entre Clarice Lispector e o conceito de melancolia desenvolvido por Jean Starobinski, explorando como a atmosfera melancólica permeia contos e romances da autora. A melancolia na obra de Lispector é abordada como um elemento intrínseco que dialoga com questões existenciais e artísticas, oferecendo uma visão profunda sobre a condição humana. Ao investigar a presença da melancolia nas obras de Lispector, o estudo busca compreender como ela constrói suas narrativas e como essa atmosfera melancólica interage com temas como solidão, vazio e tristeza. A linguagem e a estrutura narrativa são analisadas para mostrar como esses elementos contribuem para a criação de uma atmosfera melancólica. Além disso, o ensaio examina a influência das experiências pessoais de Clarice Lispector na expressão da melancolia em seus personagens, revelando como suas vivências são transmutadas em suas histórias. Concluímos que a autora utiliza a melancolia para criar uma conexão profunda com seus leitores, oferecendo uma reflexão sobre a complexidade das emoções e a condição humana. Este estudo não só contribui para a compreensão da obra de Clarice Lispector, mas também enriquece o debate acadêmico sobre a melancolia na literatura, destacando sua importância na literatura brasileira e mundial. A análise revela que a melancolia é um elemento central na obra de Lispector, proporcionando uma reflexão significativa sobre a existência humana e reafirmando a relevância de sua contribuição para o cenário literário global.
Policy Brief: Leveraging MOOCs for Teacher Development in Low-Income Countries and Disadvantaged Regions
Authors:   Commonwealth of Learning (COL), Traxler John , Ogange Betty
Published: May 2024

This policy brief looks at open digital distance learning and the potential of massive open online courses to deliver and support teacher development in low-income countries and disadvantaged regions. It addresses the particular barriers faced by teachers and their communities and proposes options to help overcome their challenges. Recommendations cover areas of local, national and global policy.
Out-of-School Children and Youth: A Contemporary View from Selected African Commonwealth Countries
Authors:   Commonwealth of Learning (COL), Desk Front
Published: May 2024

This publication on out-of-school children (OOSC) in Commonwealth Africa is already informing priorities in COL’s work in open schooling. The report provides an overview of key indicators for all nineteen Commonwealth Africa countries as well as contextual case studies of eight countries for which representatives were available to verify or update the data that had been collected. While significant progress has been made towards universal primary education, there remain challenges in primary and secondary completion, and in the key transitions from primary to secondary and from lower secondary to senior secondary. Many countries have large and growing numbers of youths who are not in employment nor in education and training, for whom some form of alternative open schooling provision will be needed.
PEMANFAATAN TANAMAN DAUN SAMBILOTO (Andrographis paniculata) SECARA ETNOFARMAKOLOGI UNTUK PENYAKIT KOLESTEROL DI DESA MAKU, KECAMATAN DOLO, KABUPATEN SIGI
Authors: Patala Recky , I Made Sarwadana  , Rianto Tanggo Doko
Published: May 2024

Penyakit kolesterol merupakan salah satu penyakit yang umum terjadi di masyarakat. Kolesterol merupakan substansi menyerupai lilin yang berwarna putih dan ditemukan dalam tubuh. Kolesterol adalah senyawa lemak kompleks yang 80% dihasilkan dari dalam tubuh (organ hati) dan 20% sisanya dari luar tubuh (zat makanan). Tingginya kolesterol dalam tubuh disebut juga hiperkolesterolemia. Hiperkolesterolemia merupakan kondisi dimana tingginya kadar kolesterol plasma yang dapat meningkatkan resiko ateroskelrosis, suatu kondisi patologis yang menyebabkan penyakitjantung koroner. Sambiloto memiliki kandungan senyawa flavonoid, lakton dan terpenoid. Pada flavonoid memiliki kandungan tertinggi pada bagian akarnya. Flavonoid dapat menghambat Fatty Acid Synthase (FAS) yakni enzim penting dalam metabolisme lemak. Tujuan dalam kegiatan Pengabdian kepada masyarakat ini yaitu untuk memberikan Sosialisasi kepada masyarakat desa Maku tentang pemanfaatan Tanaman daun Sambiloto (Andrographis paniculata) secara Etnofarmakologi untuk Penyakit Kolesterol. Kegiatan Pengabdian kepada Masyarakat ini dilakukan dengan dilakukan dalam bentuk sosialisasi dan edukasi dengan menggunakan metode ceramah dan diskusi. Hasil kegiatan pengabdian masyarakat ini menunjukkan adanya peningkatan pengetahuan dan pemahaman serta perilaku yang baik terhadap pemanfaatan Tanaman daun Sambiloto secara Etnofarmakologi untuk Penyakit Kolesterol.
Analysis of the tensile strength of 3D printed elements
Authors:   Armament and equipment repair depot of the Air Force of the Lithuanian Armed Forces, Medišauskas Donatas , Rimovskis Sergėjus ,   Šiaulių valstybinė kolegija / Higher Education Institution, Lithuania, Sabaliauskas Artūras ,   Šiaulių valstybinė kolegija / Higher Education Institution, Lithuania
Published: May 2024

The paper presents investigations of the mechanical properties of PLA plastic samples produced by a 3D printer under tension. The dependence of the maximum load on the selected 3D printing parameters (infill patterns and infill percentage) is compared. Octet, Zig Zag, Triangles and Grid infill pattern and infill percentage 50% and 90% are used. Keywords: 3D printing, infill, tension.
Characterization of the agenesis of the corpus callosum, through the presentation of a clinical case
Authors: Morillo Cano Julio Rodrigo , Narváez Jaramillo Melba Esperanza , Morillo Chamorro María Belén , Guerrón Enríquez Sara Ximena
Published: May 2024

Agenesis of the corpus callosum (ACC) is an anomaly that consists of the partial or total absence, congenitally or due to a neuropathological condition, of this structure, due to alterations in development; thus being defined by its absence and not by its manifestations. The causes of agenesis of the corpus callosum have not yet been clear and it is proposed that it occurs due to multiple factors, such as vitamin deficiency, radiation exposure, prenatal and toxic infections, smoking, maternal diabetes and genetic causes. Prenatal diagnosis can be made by ultrasound and magnetic resonance imaging from week 20 of gestation. Neuroimaging diagnostic tools are useful and magnetic resonance imaging is one of the ideal and most sensitive methods for postnatal demonstration of the anomaly. The purpose of this research is to investigate the characteristics of agenesis of the corpus callosum, through the presentation of a clinical case where the relevant observations that allow its diagnosis are presented. The case presented highlights the importance of considering agenesis of the corpus callosum as a spectrum of clinical conditions that can present with a wide variety of signs and symptoms. In this report, a combination of neurological anomalies is observed, which highlight the complexity and diversity of this condition. Therefore, it is critical that healthcare professionals be alert to potential differential diagnoses and consider agenesis of the corpus callosum in the context of patients with neurological or developmental symptoms
Characterization of Trichinella spiralis and its incidence in Ecuador
Authors: Moya Melany Michelle Abril , Carrera Aldaz Graciela Alexandra , Poveda Paredes Francisco Xavier
Published: May 2024

Trichinella spiralis is a parasite that can infect humans through consumption of infected raw or undercooked meat, especially pork, wild boar, bear and other wild animals. Trichinella infection can cause a disease called trichinosis, which can result in serious symptoms such as fever, muscle pain, facial and eye swelling, and in severe cases, cardiac and respiratory complications. The main objective of this research is to characterize the pathogenicity mechanisms of Trichinella spiralis and its incidence in Ecuador through a bibliographic review. A bibliographic review of a retrospective descriptive narrative type was carried out. Trichinella spiralis infection has a suppressive effect on the immune system, making it totally invisible to invasive elimination attacks. The parasite, as its life cycle progresses, changes its morphology and excretion, which allows it to migrate with lymph or blood, invading skeletal muscle. The lack of mechanisms for detecting Trichinella in pork and monitoring safe meat handling and cooking practices constitute a food safety problem in Ecuador. The specific incidence in humans of Trichinella spiralis in Ecuador is not widely documented in scientific literature or public health sources. However, although trichinosis is a parasitic disease that is not very common in Ecuador, it is necessary for health professionals to be attentive to this problem and work together to implement effective control and prevention strategies
Blockchain Technology in Digital Identity Management and Verification
Authors: Quispe Sanabria Edith Mariela , Pizarro Avellaneda Julio Cesar , Bustinza Zuasnabar Edward Eddie , Huaraca García Ana Mónica , Mantari Mincami Lizet Doriela , Hilario Romero Giron Hilario Romero Giron , Soriano Quispe Yesser
Published: May 2024

This study analyzes the potential of Blockchain technology to improve security and privacy in the management and verification of digital identities, aspects that currently face challenges. Through a literature review, it was found that Blockchain offers a decentralized approach that provides greater control to users over their data through cryptographic mechanisms. The cases examined demonstrate benefits such as efficiency and automation in identity processes. However, further research is required to address pending challenges and achieve widespread application considering the particularities of each context. The objective is to analyze how this technology can positively transform the way digital identity is managed in an inclusive and privacy-respecting manner
Analysis of injuries caused by sharp objects in the staff of the Segurilab health center and control proposal
Authors: García Moreira Jorge Isaac , Almeida Naranjo Cristina E.
Published: May 2024

Objective: the aim of this study was to determine the prevalence of accidents with sharp objects in the phlebotomy staff of the Segurilab Health Center, and to propose control measures based on the results obtained.
Methods: a retrospective cross-sectional study was carried out at the Segurilab Health Center, analyzing the statistics of the institutional database. The study period covered from March 2023 to March 2024. The incidence of accidents with sharp objects in phlebotomy personnel, responsible for the extraction and handling of biological samples (blood and derivatives), the administration of intravenous medications and intramuscular, and the collection of used material, both at home and institutional level.
Results: two incidents were recorded in the month of September 2023, which occurred in phlebotomists who carried out work at home, specifically in obtaining biological samples from school-age children. It should be noted that phlebotomy staff performing their duties within the institution did not report any related accidents during the study period.
Conclusion: the lack of an adequate area with control protocols for the use of sharp objects, combined with the attention of an age group that is difficult to manage when taking samples, such as school-age patients, increases the risk of accidents. Importantly, the group that followed recommended biosafety guidelines, such as those issued by the Centers for Disease Control and Prevention (CDC), did not report any cases, which is in line with guidelines to prevent adverse events
On the Post-Heat Behavior of Cement Mortar Containing Mechanically Modified Ground Coal Bottom Ash
Authors: Al Biajaw Mohammad I. , Embong Rahimah , Muthusamy Khairunisa , Abdel Jabar Haneen , Hilal Nahla , Mohamed Nazri And Fadzli
Published: May 2024

Coal is widely recognized as a significant and essential fuel source due to its capacity to undergo combustion and produce heat in many different regions worldwide. Over the course of many decades, there has been a notable rise in power usage among individuals, thus resulting in an upsurge in the utilization of coal. The growth of mankind has a parallel rising trajectory with the utilization of cement in the building industry, as well as a corresponding rise in cement manufacturing. These two phenomena significantly contribute to the escalation of carbon dioxide (CO2) emissions and the improper disposal of coal ash, both of which pose significant environmental hazards. Coal-fired thermal power plants generate many waste products from industry, including coal-bottom ash (CBA), which may be effectively used in the production of mortar or concrete. This practice not only promotes the adoption of sustainable construction materials but also encourages the utilization of these wastes. In contrast, it is worth noting that cement manufacture yields a significant quantity of carbon dioxide emissions, so exerting a detrimental influence on the ecosystem. The reduction of environmental deterioration may be achieved by substituting cement with waste products. The substitution of Portland cement with reutilized coal combustion products has the potential to provide significant environmental and infrastructural advantages. This study presents an experimental investigation into the post-heat performance of cement mortars including ground coal bottom ash (CBA). To achieve this objective, an investigation was conducted to assess the strength qualities, residual strength, and mass losses of mortar specimens. These specimens comprised varying proportions (10 %, 20 %, 30 %, and 40 %) of CBA as a substitute for cement. To perform the heating procedure, samples were subjected to temperatures of 200°C, 400°C, and 600°C, which corresponded to room temperatures. The findings indicate that the use of ground CBA up to a proportion of 20 % yields mortar with the maximum value of compressive strength compared with the control sample. The use of a substantial amount of ground CBA has been shown to produce the most significant reduction in mass and decrease in strength when subjected to high temperatures. As a result, the residual strength of concrete experiences a decrease of 33,65 % when exposed to a temperature of 600°C in conventional concrete while for CBA in concrete decreases around 40,9 %. In general, the integration of ground CBA alternatives as an alternative to cement would result in a decrease in the need for the manufacture of cement and the environmental pollution associated with CBA discharge
Toma de decisiones estratégicas gerenciales con alto grado de incertidumbre en agencias de turismo
Authors: Abril-Teatin Jheisson A. , León Martha , Ducon José , Blanco-Mesa Fabio
Published: May 2024

El objetivo principal de este artículo es analizar la toma de decisiones estratégicas con alto grado de incertidumbre de los gerentes en las agencias de turismo presentes en los departamentos de Boyacá y Casanare (Colombia). El conjunto de datos y el instrumento han sido diseñados con una escala semántica endecadaria. El instrumento contempla siete categorías: estrategia, capacidad financiera, modelo de negocio, marketing, gestión del talento humano, formalización y sostenibilidad. Los hallazgos destacan que los gerentes de las agencias determinaron tres dimensiones con mayor nivel de incidencia en la toma de decisiones. Estas son la estrategia (gestión y asesoría estratégicas), la comercialización (acciones de mejora, alianzas y objetivo de las alianzas) y la formalización. Al interior de dichas categorías se analizó la redefinición de los objetivos de la agencia, la investigación de nuevas oportunidades de negocio, la búsqueda de apoyo y asesoramiento, la modificación de los procesos de negocio y el establecimiento de apoyo a los clientes de la agencia.
Tamaño de efecto, potencia de la prueba, factor de Bayes y meta-análisis en el marco de la crisis de reproducibilidad de la ciencia. el caso de las diferencias de proporciones y tablas de contingencia con variables nominales y muestras independientes
Authors: D'Angelo Luis
Published: May 2024

Este trabajo es la continuación del artículo sobre tamaño de efecto para diferencia de medias independientes, centrándose ahora en las diferencias de proporciones y tablas de contingencia con variables nominales y muestras independientes.
La investigación estadística sobre proporciones desempeña un papel fundamental en una amplia gama de ámbitos científicos y sociales al proporcionar una valiosa comprensión sobre la distribución y la incidencia de fenómenos en una población específica. Más allá de evaluar la significación estadística de las pruebas es crucial considerar la relevancia práctica o clínica de los resultados, entendiendo la importancia del tamaño de efecto.
En el caso de las proporciones, nos encontramos con una amplia variedad de estadísticos de tamaño de efecto disponibles, como el coeficiente Phi, V de Cramer, W de Cohen, Fei de Ben-Shachar, h de Cohen, riesgo relativo, odds ratio, entre otros. Esta diversidad puede generar desafíos al momento de seleccionar el estadístico más adecuado para analizar los datos. Por lo tanto, este trabajo se propone abordar esta problemática en detalle, explorando las características y aplicaciones de cada estadístico, y ofreciendo orientación sobre su selección según el contexto y los objetivos de la investigación.
An Exploratory Examination of Sustainable Food Purchasing by Restaurants in Paris, France, by Product Category
Authors:   IESEG School of Management, France, Doquet-Chassaing Solène , Batt Peter J. ,   University of Western Australia, Australia
Published: May 2024

While executive chefs invariably search for consistent quality, reliable delivery and a competitive price, few studies have sought to demonstrate how the importance of the supplier selection criteria differs by product category for sustainable food ingredients. For this study, 49 executive chefs in Paris, France, were interviewed using a structured questionnaire to explore the importance of the criteria chefs employed in purchasing five groups of food products: meat, fish, fresh fruit and vegetables, dairy products and baked products. Cluster analysis revealed the presence of two distinctly different groups of chefs: those who were primarily concerned about price and those who sought to purchase sustainably produced food ingredients. For those chefs purchasing primarily on price, there were no significant differences in the importance of the criteria utilized in the supplier selection process across the five product categories. However, for those chefs who sought to buy sustainably produced food ingredients, sourcing product from a desired geographic region was significantly less important for baked products. Similarly, in considering whether the food ingredients had been produced ethically and grown locally and sustainably, each of these criteria were ranked significantly lower for baked products than any other food category. Conversely, the availability of products all year round, proximity to the restaurant and the physical appearance of the product were all ranked significantly higher for baked products than any other food category.
The First Graduates of the Revived Saratov Theological Seminary 1947–1951: Leaders, Teachers and Students
Authors:   Saint Tikhon's Orthodox University for the Humanities, Bartenev Grigory
Published: May 2024

This article is devoted to the study of the revival process of theological education in the conditions of pressure on the Russian Orthodox Church of the atheistic Soviet state, using the example of the first graduates of the Saratov Theological Seminary, revived in 1947. The article shows the traditions and problems inherited from the pre-revolutionary Saratov Theological Seminary, and new challenges dictated by the godless atheistic state. Changes in the teaching staff of the seminary during the period under study and their impact on the process of education and upbringing of seminarians are considered. The results of teaching the seminarians are illustrated by the memories of colleagues and parishioners, reviews of the clergy, and archival documents of the authorized of the Council for the Affairs of the Russian Orthodox Church (hereinafter referred to as the Council). Based on the analysis of the first seminary graduates’ destiny, a conclusion was made about the effectiveness of the educational process at the Saratov Theological Seminary in 1947–1951.
Interviews!
Authors:   University of South Hampton, Boxall Simon
Published: May 2024

Interviews—bêtes noires for most of us—must nevertheless be endured at various stages in our careers. Interviewees may stress about being accepted at a particular university or getting the job: Was my CV good enough? Will the panel ask difficult questions? What if I am not on form the day or hour of my interview? Interviewers can also find the situation taxing: How do I choose from this array of candidates based on their CVs? How honest are the references? How can I assess them in just an hour?
El estrés en profesionales de enfermería en Ecuador: evaluación del impacto en sus derechos laborales
Authors: Zurita Avalos Luis Antonio , Inca Ramos Katherine Elizabeth
Published: May 2024

El estrés laboral entre los profesionales de enfermería en Ecuador es un problema creciente que afecta tanto su bienestar individual como la calidad de la atención al paciente y la eficiencia del sistema de salud. La investigación previa ha demostrado una insuficiente implementación de los derechos laborales, exacerbando esta situación, factores como la alta carga de trabajo, largas jornadas laborales y déficit de personal contribuyen significativamente al estrés experimentado por los profesionales de enfermería.  Esto se traduce en fatiga crónica, agotamiento físico y mental, la falta de acceso a recursos adecuados, como equipos de protección personal y medicamentos esenciales, agrava aún más la situación, poniendo en peligro tanto la atención de los pacientes como la seguridad del personal, este estudio examina en detalle la intersección entre el estrés laboral y los derechos laborales de los profesionales de enfermería en Ecuador, identificando áreas críticas para intervenciones y mejoras. Los hallazgos que se desprenden del estudio realizado en esta investigación subrayan la importancia de abordar tanto las condiciones laborales como los derechos laborales de los trabajadores de la salud para mejorar su bienestar y la calidad de la atención al paciente, a su vez se identifica una situación preocupante en cuanto a la vulneración de los derechos laborales. A pesar de los derechos y garantías constitucionales que gozan, la mayoría de los profesionales de enfermería no disfrutan plenamente de sus derechos, pues se ven obligados a cumplir con altas cargas de trabajo, largas jornadas laborales y escasez de recursos adecuados.
Social media influences the process of vocabulary learning in Kurdish EFL university students
Authors: MAHMOOD Hemn Mohammed Ali , Zanyar Nathir GHAFAR  , Azeez Abdulkarim MUHAMMED  , Sirma Sirwan  , Roza Abdul KARIM
Published: May 2024

This study aimed to investigate the role of social media in vocabulary development and language acquisition among Kurdish EFL university students. It sought to demonstrate the benefits of using social media to increase vocabulary and acquire new languages while also providing evidence of the significance of social media platforms in this process. A legitimate market research approach was employed to determine the level of language acquisition among English language department students at Halabja University and the role of social media in this context. The quantitative method was used, and a survey questionnaire was designed after getting validity and reliability; 120 participants were selected from Halabja University through Google Forms. The findings suggest that social media is a powerful tool for vocabulary learning among Kurdish EFL university students. However, further research is necessary to explore the specific features of social media that facilitate vocabulary learning and investigate the effectiveness of different social media platforms. Additionally, future studies should consider incorporating qualitative methods to provide a more nuanced understanding of the impact of social media on language acquisition among Kurdish EFL university students.
Pasir yang Memenuhi Persyaratan Standar Tiongkok (TB) Sebagai Material Pengisi High Performance Concrete (HPC) di Proyek Kereta Cepat Jakarta – Bandung
Authors: Purba Iskandar , Suryadi Suryadi , Azhamy Aria
Published: May 2024

Beton High Performance Concrete digunakan dalam proyek Kereta Cepat Jakarta-Bandung dengan masa layan 100 tahun. High Performance Concrete memiliki karakteristik khusus, antara lain lebih kedap / tahan rembesan / tahan serangan kimia; memiliki nilai faktor air semen yang rendah;  kemudahan dalam pencampuran, pengiriman, pengecoran, pemadatan dan finishing, tanpa terjadi keenceran (bleeding) dan pemisahan butiran (segregasi); kekuatan tekan beton di awal lebih tinggi; tidak mudah susut plastis; mengurangi biaya pemeliharaan; estetika lebih bagus.Syarat agregat halus dalam High Performance Concrete harus memenuhi standar Tiongkok TB 3275-2011 Concrete for Railway Engineering (Beton untuk Teknik Perkeretaapian) antara lain: berasal dari pasir sungai dengan gradasi yang layak, permukaan yang keras (solid), penyerapan (absorpsi) yang rendah dan padat. Agregat halus boleh berasal dari pasir buatan (artificial sand) yang diproduksi dengan peralatan khusus. Pasir laut tidak diijinkan. Hasil uji yang didasarkan pada metodologi di GB/T 14684-2011 tentang Sand for Construction (Pasir Konstruksi) menunjukkan bahwa pasir dari sungai Kapuas di daerah Tayan–Kalimantan Barat adalah satu-satunya yang memenuhi syarat mutu pasir untuk beton High Performance Concrete di proyek Kereta Cepat Jakarta-Bandung, namun memiliki kelemahan, seperti jarak pengiriman jauhdan deposit tambang yang terbatas. Wika pernah mencoba pengujian pasir buatan Cimalaka dijadikan kandidat alternatif, meskipun penggunaan pasir vulkanik tidak disarankan karena kandungan pengotor dalam mineral vulkanik dan kurangnya konsistensi mutu.Disarankan adanya tinjauan lebih lanjut untuk menemukan sumber agregat halus untuk produksi High Performance Concrete,serta peninjauan ulang standar Tiongkok untuk penyesuaian kondisi material alam di Indonesia.
Pemanfaatan Teknologi Berbasis Animaker sebagai Media Pembelajaran pada Mata Kuliah Pendidikan Nilai dan Kepribadian
Authors: Sopiandy Dede , Tundreng Syarifuddin , Umpi Ridwan , Putra Eko , Jabir Sultan
Published: May 2024

Pemanfaatan teknologi berbasis animaker sebagai media pembelajaran di mata kuliah pendidikan nilai serta kepribadian ini bertujuan untuk memberikan bahwa penggunaan video pembelajaran dapat menaikkan yang akan terjadi belajar mahasiswa dan  menunjukkan bahwa penggunaan Animaker bisa mempertinggi minat belajar serta motivasi mahasiswa. menggunakan digunakan untuk mengilustrasikan konsep kompleks melalui animasi sederhana. Animaker bisa membantu mahasiswa berpikir out of the box dan  melampaui batas metode pengajaran tradisional. menggunakan memakai Animaker, peserta didik dapat mengkaji etika sosial dan  moral melalui pengalaman dan  pengenalan. Animaker pula dapat membantu Siswa mengembangkan kreativitas, komunikasi dan keterampilan berpikir kritis. Jenis penelitian yang digunakan dalam penelitian akademik ini adalah penelitian kualitatif dengan menggunakan metode deskriptif kualitatif. Penentuan tema penelitian dengan teknik target sampling. Teknik pengumpulan data observasi, wawancara, dan dokumentasi digunakan untuk mendapatkan data yang komprehensif dan valid tentang pertempuran yang tercakup dalam penelitian ini. Jumlah subjek dalam penelitian ini adalah 23 orang. Data yang diperoleh dalam penelitian ini dianalisis menggunakan naratif kualitatif. Pemanfaatan teknologi berbasis Animaker menjadi media pembelajaran mata pelajaran Pendidikan Nilai dan  Kepribadian dapat membantu mahasiswa lebih mudah dalam tahu materi serta menghasilkan proses pembelajaran sebagai lebih menarik. Pemanfaatan teknologi berbasis Animaker menjadi media pembelajaran dapat memberikan pengalaman belajar yang aktif, menyenangkan dan  meningkatkan kualitas belajar mengajar pada mata kuliah pendidikan nilai dan kepribadian.
Optimalisasi Penggunaan Media Sosial dalam Meningkatkan Efektivitas Kampanye Vaksinasi Covid-19 oleh Pemerintah Desa Bulu Cina, Kecamatan Hamparan Perak
Authors: Tania Cindy Dwi , Saragih M. Yoserizal , Deni. P Indira Fatra
Published: May 2024

The research is titled, "The Use of Social Media by Village Government in the Covid-19 Vaccination Campaign in Bulu Cina Village, Hamparan Perak Subdistrict," aimed at understanding the utilization and effectiveness of the Covid-19 vaccination campaign through social media in Bulu Cina village. The study employs the use and effect theory, utilizing a descriptive qualitative method. Data collection techniques include interviews, observations, and documentation. The results indicate that the social media used by the village government in Bulu Cina has not been effective in delivering the Covid-19 vaccination campaign. The ineffectiveness is attributed to several external and internal obstacles that hinder the optimal dissemination of the campaign message to the Bulu Cina community. The village government needs to pay attention to certain aspects when delivering campaign messages through social media, and the residents of Bulu Cina village also need to improve their use of social media.