bluuebunny/crossref_metadata_2025 huggingface dataset:
EXPLORANDO LA CULTURA DIGITAL EN EL AULA
Authors: Souza Fábio Marques de , De Sousa Nóbrega Aguiar Pereira Laís , De Souza Cruz Alexandre , Moreira do Nascimento Inácio Hélio , Ferreira de Sousa Déborah Letícia
Published: May 2024

Este artículo propone incorporar el análisis y la creación de memes en la enseñanza de español como lengua extranjera (ELE), utilizando las redes sociales como herramientas educativas. Se enfatiza la importancia de familiarizar a los estudiantes con los memes, desarrollar su competencia comunicativa, fomentar la creatividad y el pensamiento crítico, y reflexionar sobre el uso del lenguaje y el humor en diferentes contextos. Con este propósito, se explora el papel de Instagram como plataforma mediadora en las interacciones sociales, destacando su relevancia en el ámbito educativo para el análisis y la producción de memes. Además, se examina la naturaleza de los textos multimodales en el entorno digital y se explora cómo estos textos se han convertido en una forma de comunicación contemporánea ampliamente utilizada, especialmente en las redes sociales. También se analiza el meme como un género discursivo emergente en la cultura digital, explorando sus características y su relevancia en la enseñanza de lenguas extranjeras. Por último, se presenta una propuesta didáctica para integrar el análisis y la creación de memes en la enseñanza de ELE: esta propuesta ofrece una oportunidad práctica y divertida para que los estudiantes exploren la lengua y la cultura española a través de un medio contemporáneo y relevante en la sociedad digital actual.
Synthesis and Biological Applications of Coumarinyl-Chalcones
Authors: Ramadan Sayed K. , Rizk Sameh A. , El-Helw Eman A.E.
Published: May 2024

This survey provides information on the synthesis and biological applications of
coumarinyl-chalcones. Chalcones are unsaturated ketones involving the reactive ketoethylenic
group (CO-CH=CH). Chalcones are naturally abundant in many medical plants,
including vegetables, fruits, and foods. Natural and synthetic chalcone compounds exhibit
a broad spectrum of biological properties like anticancer, anti-inflammatory, anti-HIV, antioxidant,
antimalarial, and antimicrobial. Some conventional, microwave, and grinding
techniques have been utilized for the synthesis of chalcones. Noteworthy, the Claisen-
Schmidt condensation reaction remains the most popular and effective method for synthesis.
It summarizes information about its synthetic methods as building blocks in some reactions
like cyclization reactions and medical applications. This review article presents an
overview of approaches and biological data for chalcones bearing a coumarin scaffold.
Advancements in CRISPR-Based Therapies for Genetic Modulation in Neurodegenerative Disorders
Authors: Bhushan Bharat , Singh Kuldeep , Kumar Shivendra , Bhardwaj Anjali
Published: May 2024

:

Neurodegenerative disorders pose significant challenges in the realm of healthcare, as
these conditions manifest in complex, multifaceted ways, often attributed to genetic anomalies.
With the emergence of CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)
technology, a new frontier has been unveiled in the quest for targeted, precise genetic manipulation.
This abstract explores the recent advancements and potential applications of CRISPR-based
therapies in addressing genetic components contributing to various neurodegenerative disorders.
The review delves into the foundational principles of CRISPR technology, highlighting its unparalleled
ability to edit genetic sequences with unprecedented precision. In addition, it talks about the
latest progress in using CRISPR to target specific genetic mutations linked to neurodegenerative
diseases like Huntington's disease, Alzheimer's disease, amyotrophic lateral sclerosis (ALS), and
Parkinson's disease. It talks about the most important studies and trials that show how well and
safely CRISPR-based therapies work. This shows how this technology can change genetic
variants that cause diseases. Notably, the discussion emphasizes the challenges and ethical considerations
associated with the implementation of CRISPR in clinical settings, including off-target effects,
delivery methods, and long-term implications. Furthermore, the article explores the
prospects and potential hurdles in the widespread application of CRISPR technology for treating
neurodegenerative disorders. It touches upon the need for continued research, improved delivery
mechanisms, and ethical frameworks to ensure responsible and equitable access to these groundbreaking
therapies.
Investigating the Effects of Urea-Zinc Sulfate-L Phenylalanine on the Corrosion Inhibition of Mild Steel Exposed to pH-4 Sulfuric Acid
Authors: Manoharan Geetha , Nithyanandam Rajesh , Antony Jenish Soosai , Rajendran Susai
Published: May 2024

Background:

Corrosion of mild steel is a risk to material and stability. The practice of
corrosion inhibitors is a cost-effective corrosion modification method for mild steel. Organic inhibitors
rich in electrons might have an excellent ability to prevent corrosion. This study aims to assess
the inhibitory effect of the mixture of Urea, Zinc Sulfate, and L-Phenylalanine, which has a high
electron density

Methods:

MS corrosion was experimentally analyzed by dipping in H2SO4 solution at a pH – 4 for
24 hrs. Different gravimetric and conventional techniques, such as polarization, AC impedance
AFM, UV, and fluorescence, were used to examine the corrosion rate

Results:

According to gravimetric measurements, this combination produced 93% effective inhibition.
The findings of the impedance test proved that the mixture of inhibitors that was adsorbed on
the metal surface effectively prevented corrosion.

Conclusion:

Likewise, according to the Polarization measurements, the inhibitor exhibits mixed-type
performance with significant cathodic activity. UV, Fluorescence, and AFM findings showed that
MS corrosion was suppressed because the inhibitor molecule adhered to the metal's surface and reduced.
Controlled Hypotension During Functional Endoscopic Sinus Surgery (FESS) - A Comparative Evaluation Between Esmolol and Nitroglycerine
Authors:   Department of Anaesthesiology, MNR Medical College and Hospital, Fasalwadi, Sangareddy, Telangana India, Gowtham Kotaru , Shankar Mittapally ,   Department of Anaesthesiology, MNR Medical College and Hospital, Fasalwadi, Sangareddy, Telangana India, Sowjanya Bhagothula ,   Department of Anaesthesiology, Government Medical College, Sangareddy, Telangana India
Published: May 2024

Background: Intraoperative bleeding is a frequent complication in functional endoscopic sinus surgery (FESS). Controlled hypotension is a useful technique for enhancing the surgical field and reducing operative blood loss. Nitrovasodilators and beta receptor antagonists are effective options for regulated hypotensive anaesthesia during FESS. We assessed the efficacy of esmolol and nitroglycerine for controlled hypotension in subjects undergoing FESS. Methods: A source of 64 participants undergoing elective FESS, were randomly allocated to group N (n=32), which got an intravenous Nitroglycerin infusion at 5–10 µg/kg/min, and group E (n=32), which received an initial bolus of 500 mcg/kg of intravenous esmolol over 30 seconds. Hemodynamic parameters were measured and the visibility of the surgical field was assessed using the average category scale (ACS). Result: In groups N and E, the mean surgical duration was 113.5 minutes and 102.34 minutes, respectively, and the mean operative blood loss was 188.5 ml and 173.7 ml. The esmolol group experienced a rapid decline in heart rate, and there was a statistically significant difference in mean SBP, DBP, and MAP across the study groups. At the 10-min, the majority of cases displayed scores of 3 in group E and 4 in group N. In the esmolol group, there was a significant difference between the hypotensive phase and the hemodynamic measures (p<0.05). Conclusion: Nitroglycerine and esmolol were effective in controlling hypotension. However, esmolol was superior in controlling the operative bleeding, surgical duration, enhanced surgical field visibility, and absence of reflex tachycardia compared to nitroglycerine
Factors Affecting Outcome of Patients with Upper Gastrointestinal Haemorrhage Presenting to Emergency Department: A Prospective observational cohort study
Authors:   Department of Emergency Medicine, All India Institute of Medical Sciences, New Delhi India, Lal Devakrishna Bhavan , Ekka Meera ,   Department of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, Yadav Rupesh ,   Department of Anesthesiology, Atal Bihari Vajpayee Institute of Medical Sciences and Dr RML Hospital, New Delhi India, Yadav Amlendu ,   Department of Critical Care Medicine, Atal Bihari Vajpayee Institute of Medical Sciences and Dr RML Hospital, New Delhi India, Kumar Sandeep ,   Department of Anesthesiology, Atal Bihari Vajpayee Institute of Medical Sciences and Dr RML Hospital, New Delhi,
Published: May 2024

Background: Upper gastrointestinal bleeding (UGIB) is one of the most common presentations in an emergency department (ED). UGI endoscopy is the definitive diagnostic and therapeutic modality for UGIB. Aim of the study were look into the outcomes of UGIB and outcomes based on the timing of endoscopy (early endoscopy mean before 24 hours and late endoscopy mean after 24 hours). Methods: 180 patients presented in ED with UGIB and undergo Upper gastrointestinal (UGI) endoscopy. Socio-demographic profiles, with presenting signs and symptoms, co-morbidities, vitals, lab parameters, endoscopic diagnosis with the treatment of the patient were collected. They were followed up to day 7 of presentation to determine all-cause mortality, re-bleed, development of hemorrhagic shock, admission rate and length of ED stay, early endoscopy and late endoscopy. Result: The mortality difference in the early endoscopy (3.2%) and late endoscopy (16.1%) group was significant with a p-value of 0. 012. Late endoscopy (18.6%) was associated with a higher risk of development of hemorrhagic shock compared to the early group (4.8%) with a p-value of 0.011. The factors that had a significant association with mortality on univariate analysis were, late endoscopy, systolic blood pressure on presentation less than 90, variceal bleeding, blood transfusion requirement, AIMS 65 score greater than 0. Multivariate analysis showed that late endoscopy (OR 5.35(1.12-25.3)) and AIMS 65 score (OR 11.76(1.48-93.3)) were independent risk factors for mortality. Conclusion: We concluded that early endoscopy was associated with decreased mortality, decreased length of ED stay and decreased risk of development of hemorrhagic shock.
One Lung Ventilation (OLV) on Needle Evacuation Thoracotomy in Pediatric Patient
Authors:   Department Anesthesia and Intensive Therapy, Faculty of Medicine University of Jember – Regional Hospital Dr. Soebandi Jember Indonesia, Hariyanto Achmad , Pratama Muhamad Rizal Hadi ,   Department Anesthesia and Intensive Therapy, Faculty of Medicine University of Jember – Regional Hospital Dr. Soebandi Jember Indonesia, Alami Eqiel Navadz Akhtar ,   Student of Faculty of Medicine, University of Jember – Regional Hospital Dr. Soebandi Jember, Indonesia
Published: May 2024

Background: One lung ventilation (OLV) is a ventilation method that functions to facilitate surgery on one side of the lung to protect one of the lungs from exposure to fluids such as blood, secretions, or foreign bodies. Therefore, it is necessary to place the endrotracheal tube correctly so that complications do not occur. This case report aims to determine the success in surgery using OLV method with blind insertion in pediatric patient. Case: A 10 years old male patient came to the hospital with complaints of sore throat. Thorax X-Ray photo examination showed that there was a needle-shaped corpus alienum density in the right bronchus branch of the orificium of the right lung. The patient was planned for a needle evacuation thoracotomy using a Double lumen endotracheal-tube (DLT) size 26. The patient was induced using the total intravenous anaesthesia (TIVA) method, ventilation using OLV. The operation was carried out with an incision at the 8th posterolateral intercostal space (ICS) of the dextra deepened layer by layer, the pleura was bluntly penetrated. This surgery went success to extract needle and the patient's condition was stable (HR=104x/min, SpO2=95%). On a third day after surgery, the patient was stable and discharged. Conclusion: The OLV method using DLT in pediatric patient with blind insertion during thoracotomy showed good results with early mobilization on day 1 after surgery, 3 days of hospital stays, and did not show any serious complication after surgery.
The Effect of Mangan on Hardness and Corrosion Rate of Biodegradable Implants of Zn-Mn Alloy
Authors: Ayatilhaq Azka , Setyarini Putu Hadi , Margono  , Setiadhi David
Published: May 2024

Zn-based biodegradable implants were still relatively new, and much development was needed. This study added varying amounts of Mn to Zn alloys and analyzed their effect on corrosion rate. Corrosion testing was conducted electrochemically with a polarization test. The alloys were characterized using X-ray diffraction (XRD) and scanning electron microscopy (SEM). The effect of the additional Mn content was also observed through a hardness test. Zn-25Mn alloy had the lowest corrosion rate. The alloy, with the addition of certain levels of Mn, experienced the formation of the intermetallic phase MnZn13, which improved the mechanical properties and corrosion rate. This research provided insights into the biocompatibility of a biodegradable implant through in vivo and in vitro testing, allowing for further development of its results.
The Manufacturing Process and Corrosion Properties of Magnesium Matrix Composites: A Review
Authors: Zuliantoni  , Smaradhana Dharu Feby
Published: May 2024

Magnesium-based biomaterials are a new generation of biodegradable metals that are playing a major role in the development of future implant materials. Magnesium-based materials can corrode too rapidly during physiological conditions and lose their usefulness before bones heal. This review aims to provide a comprehensive overview of the selection of suitable matrix and reinforcing materials as well as suitable process techniques to achieve better corrosion resistance targeted for dental implant applications. It also discusses the advantages and disadvantages of testing methods and corrosion media commonly used for biomedical applications. Specific search strategies are carried out in electronic databases: Springer, Pubmed, and Sciencedirect as well as google without limiting years. Papers are selected after reviewing their title, abstract, and full text. Then study the objectives, criteria, methods, and results. Based on the available literature, we can conclude that for magnesium-based composite matrices it is preferable to use commercially available Mg AZ91D alloys to investigate their corrosion behavior in vitro and in vivo environments. While for the composite reinforcement, bioceramic materials can be used, including Hydroxyapatite (HA) added with Zirconia ceramics (ZrO2) or Titanium metal oxide (TiO2). Furthermore, the process of making ceramic composites uses powder metallurgy (PM) and squeeze casting methods. Then, corrosive testing can use the commonly used electrochemical methods, namely Potentiodynamic Polarization (PDP) and Electrochemical Impedance Spectroscopy (EIS) with corrosive SBF media.
A predictive strategy to mitigate the impact of the COVID-19 pandemic on the Saudi economy
Authors:   Department of Health Management, College of Public Health and Health Informatics, University of Ha’il, Ha’il, Saudi Arabia, Aldhmadi Badr Khalaf , Almutairi Youssef Mubrik ,   Department of Education, College of Education, University of Ha’il, Ha’il, Saudi Arabia, Elmelegy Reda Ibrahim ,   Department of Management Information Systems, Applied College, University of Ha’il, Ha’il, Saudi Arabia, Ferchichi Monia Mokhtar ,   Department of Management Information Systems, Applied College, University of Ha’il, Ha’il, Saudi Arabia
Published: May 2024

This study aimed to examine the impact of the COVID-19 pandemic on Saudi Arabia's economy and to propose a strategy based on forecasting to lessen the negative effects of the pandemic while looking ahead to economic opportunities after the pandemic. The research utilized ARIMA models to predict important economic measures in Saudi Arabia, such as GDP, exports, imports, investment in assets, consumer spending, unemployment rates, inflation rates, and oil production, up to 2028, using the Box-Jenkins method. The results showed that the pandemic initially had a detrimental effect on the Saudi economy, with decreases in GDP, exports, and imports, as well as increases in unemployment and inflation. However, the study forecasts a positive recovery and growth in the economy after COVID-19. It recommends the adoption of a national policy to address the COVID-19 challenges, emphasizing the need for a comprehensive economic strategy to tackle the issues brought by the pandemic and to navigate the post-pandemic economic environment. This approach is in line with Vision 2030 and is intended to guide policymakers in developing and implementing strategies to reduce the pandemic's economic impact and support economic recovery.
Optimizing a Classification Model to Evaluate Individual Susceptibility to Noise-induced Hearing Loss (Preprint)
Authors: Li Shiyuan , Yu Xiao , Ma Xinrong , Wang Ying , Guo Junjie , Wang Jiping , Shen Wenxin , Dong Hongyu , Salvi Richard J. , Wang Hui , Yin Shankai
Published: May 2024

BACKGROUND

Noise-induced hearing loss (NIHL), one of the leading causes of hearing loss in young adults, is a major health care problem that has negative social and economic consequences. Among those exposed to the detrimental effects of workplace noise, some are especially vulnerable and develop NIHL after only a short time in the workplace, while other are extremely resistant and develop NIHL after many years of work.

OBJECTIVE

To determine an optimal model for detecting susceptible/resistant to NIHL and further explore phenotypic traits uniquely associated with susceptibility profiles.

METHODS

This study was performed from 2015 to 2021 at shipyards in Shanghai, China. Six methods were applied to our dataset to evaluated their classification performance. An machine learning (ML)-based diagnostic model employing frequencies from 0.25 to 12 kHz were developed to determine the most reliable frequencies, considering accuracy and area under the curve (AUC). An optimal method with most reliable frequencies was then constructed for detecting susceptible/resistant to NIHL. Phenotypic characteristics such as age, exposure time, cumulative noise exposure (CNE), and HTs, were explored for these group.

RESULTS

A total of 6276 participants (median [interquartile range (IQR)] age, 41.0 [33.0-47.0] years; 5372 [84.9%] men) were included in the analysis. An ML-based NIHL diagnostic model with misclassified subjects showed the most promising performance for identifying workers in NIHL susceptible group (NIHL-SG) and NIHL resistant group (NIHL-RG). The mean hearing thresholds (HTs) at 4 and 12.5 kHz frequencies demonstrates the highest predictive value for detecting NIHL-SG and NIHL-RG (accuracy = 0.78, AUC = 0.81). Individuals in the NIHL-SG selected by the optimized model were younger (28.0 [25.0-31.0] versus 35.0 [32.0-39.0] years old, p<0.001), with less duration of noise exposure (5.0 [2.0-8.0] versus 8.0 [4.0-12.0] years, p<0.001)and lower CNE (90.3 [85.7-92.4] versus 92.2 [89.2-94.7] dBA-year, p<0.001) but greater HTs than those in NIHL-RG (4&12.5 kHz: 58.8 [53.8-63.8] versus 8.8 [7.5-11.3] dB, p<0.001).

CONCLUSIONS

An ML-based NIHL diagnostic model with misclassified subjects, employing the mean HTs of 4 and 12.5kHz, was regarded as the most reliable method for identifying individuals susceptible or resistant to NIHL, proceeding with future studies on genetic that govern susceptibility to NIHL.

CLINICALTRIAL

This study was granted by the Institutional Ethics Review Board at Shanghai Sixth People’s Hospital affiliated with Shanghai Jiao Tong University and was registered in the Chinese Clinical Trial Registry under the identifier ChiCTR-RPC-17012580.
PTV research protocol Survey on hand hygiene, use of hightouch devices, and proper habits by health care workers for prevention of infectious risk. (Preprint)
Authors: Aprile Antonio , Morlino Giustino , Mosconi Claudia , Guarente Luca , Carestia Mariachiara , Pica Francesca , De Filippis Patrizia , Maurici Massimo , Palombi Leonardo
Published: May 2024

BACKGROUND

Care-Related Infections, are infectious diseases that occur in a care setting. The most important methods of prevention are hand hygiene and proper use of gloves and gowns. Recent literature points out that mobile devices being in contact with hands or potentially contaminated environments can promote an increased occurrence of HAIs.

OBJECTIVE

The purpose of our study is, therefore, to analyze the correlation between the microbial population present on the handprints of health care professionals in the wards of the Tor Vergata Hospital in Rome, and the microorganisms present on the surfaces of workers' smartphones and tablets by searching for the main agents responsible for HAIs.

METHODS

Sterile swabs will be used for identification of microbial flora to be taken on hands and smartphones of health workers and transported to the laboratory for culture analysis, performed according to current microbiological procedures. This type of investigation will have a quarterly periodicity to assess any changes in the microbial flora. At the same time, questionnaires will be administered and assigned a sequential number.

RESULTS

Thirty health workers per quarter will be selected, for a total of 120 health workers and a total of 240 samples taken. For each sample, the following will be sought: Total bacterial load at 37°C (TBC 37°C) and at 22°C (TBC 22°C), of Coliforms/E.coli, Enterococci, Staphylococci, Acinetobacter, Klebsiella and pseudomonas and any antimicrobial resistance.

CONCLUSIONS

It will be important as a result of the study to promote proper education of the practitioners involved in the study on HAIs prevention.

CLINICALTRIAL

The protocol was properly evaluated and approved by the territorial ethics committee "Lazio Area 2" on March 21, 2024 with the code 76.24 CET2 utv_ptv
Estudio taxonómico del género Phidon (Blattaria: Pseudophyllodromiidae) con descripciones de los genitalia masculinos y femeninos
Authors: Vera-Sánchez Alejandro Andrés
Published: May 2024

En el presente estudio taxonómico del género Phidon se redescriben P. bullocki, P. araucanus y P. reticularis, cuyos genitalia masculinos y femeninos se describen por primera vez. Los caracteres diagnósticos más importantes son los escleritos L2D´, L4V´ y v.c.c. de los genitalia masculinos y los escleritos de sp.pl. de los femeninos. Phidon bullocki y P. reticularis se asemejan entre sí y sus hembras son difíciles de diferenciar, incluso de las hembras de P. dubius. En cambio, Phidon chanco se distingue claramente del resto de las especies. Se presenta además la distribución geográfica para todas las especies del género.
The Changing Landscape of Healthcare with State of the Art AI Technology
Authors: Hudda Sahil , Kumar Dr. Raj , Negi Dr. Neerja
Published: May 2024

Abstract: Artificial Intelligence (AI) has emerged as a transformative force in healthcare, offering unparalleled opportunities to enhance patient outcomes, streamline processes, and reduce costs. This abstract provides an overview of the diverse applications of AI in healthcare, including medical imaging analysis, predictive analytics, personalized treatment plans, and administrative tasks automation. By leveraging machine learning algorithms and big data analytics, AI enables healthcare professionals to make more accurate diagnoses, predict disease progression, and customize treatment regimens tailored to individual patient needs. Furthermore, AI-powered tools facilitate the automation of routine administrative tasks, allowing healthcare providers to focus more on patient care. Despite the promising advancements, challenges such as data privacy concerns, regulatory hurdles, and the need for interdisciplinary collaboration remain. This abstract underscores the immense potential of AI in revolutionizing healthcare delivery while highlighting the importance of addressing associated ethical and regulatory considerations for its widespread adoption.
Domain Adaptation and Semantic Drawing Driven Sketch-to-Photo Retrieval using Collaborative Generative Representation Learning
Authors: Sujatha Dr K , Ghsoh Koulik , Anand Aneesh
Published: May 2024

Abstract: Sketch-based face recognition is an interesting task in vision and multimedia research yet it is quite challenging due to the great difference between face photos and sketches. In this paper we propose a novel approach for photo-sketch generation aiming to automatically transform face photos into detail-preserving personal sketches. Unlike the traditional models synthesizing sketches based on a dictionary of exemplars we develop a fully convolutional network to learn the end-to-end photosketch mapping. Our approach takes whole face photos as inputs and directly generates the corresponding sketch images with efficient inference and learning in which the architecture is stacked by only convolutional kernels of very small sizes. The exemplar-based method is most frequently used in face sketch synthesis because of its efficiency in representing the nonlinear mapping between face photos and sketches. However, the sketches synthesized by existing exemplar-based methods suffer from block artifacts and blur effects. In addition, most exemplar-based methods ignore the training sketches in the weight representation process. To improve synthesis performance, a novel joint training model is proposed in this paper, taking sketches into consideration. First, we construct the joint training photo and sketch by concatenating the original photo and its sketch with a high-pass filtered image of their corresponding sketch. Then, an offline random sampling strategy is adopted for each test photo patch to select the joint training photo and sketch patches in the neighboring region. Finally, a novel locality constraint is designed to calculate the reconstruction weight, allowing the synthesized sketches to have more detailed information
Fortifying Network Security: Pioneering Hybrid Machine Learning for BotNet Attack Detection
Authors: Varun M V , R Gurudeep , S Yogitha , Raju Yashila , Patil Renuka
Published: May 2024

Abstract: With the rising sophistication of cyber threats, the detection of BotNet attacks on networks has become a perilous contest for cybersecurity. This paper proposes an innovative approach leveraging a hybrid machine learning (ML) framework for the detection of BotNet attacks in network atmosphere conquers a notable accuracy of 98.63%. By amalgamation of different strengths of ML algorithms such as KNN and Decision Trees, our approach aims to enhance the accuracy and efficiency of BotNet detection. The methodology comprises feature extraction from network traffic data, followed by training and testing of the hybrid model on labelled datasets to identify patterns revealing of BotNet activity. Experimental outcomes reveal the effectiveness of the proposed approach in precisely detecting BotNet attacks while diminishing false positives. The hybrid ML approach offers a forthcoming avenue for fortifying network security and mitigating the risks associated with BotNet threats.
Real-Time Object Detection and Recognition with Computer Vision
Authors: Tamrakar Vishesh
Published: May 2024

Abstract: Object detection, a fundamental aspect of computer vision, is essential for identifying and localizing objects within images or video frames, leveraging advancements in deep learning, particularly convolutional neural networks (CNNs), to enhance precision and speed. Its applications span diverse domains, from autonomous vehicles and surveillance systems to augmented reality and human-computer interaction. Our project focuses on engineering a real-time object detection system, integrating deep learning and computer vision methodologies. Anchored on the robust Single Shot Multibox Detector (SSD) architecture and reinforced by the efficiency and accuracy of the MobileNetV3 backbone, our system utilizes a pre-trained SSD MobileNetV3 model and comprehensive annotations from the COCO dataset to adeptly detect and recognize a wide array of objects within live video streams or archived footage. It seamlessly processes video frames from various sources, annotating detected objects in real-time to provide instant visual feedback. Offering customizable confidence thresholds and support for multiple video sources, our project showcases the transformative potential of deep learning and computer vision, advancing realtime object detection across domains like surveillance and interactive systems. By pushing the boundaries of object detection technology, our project aims to enhance safety, efficiency, and user experiences in various applications, promising to redefine the landscape of computer vision with innovation and advancement.
Human Action Recognition System Using LRCN
Authors: K Abhijat Krishna , Eldo Milen , Kuriakose Jinzen , JS Abin , Kallungal Suzen Saju , Meckamalil Rotney Roy
Published: May 2024

Abstract: The importance of human action recognition is significant across various domains, driving advancements in safety, healthcare, sports analytics, and interactive technologies. Leveraging machine learning techniques like Long Recurrent Convolutional Neural Networks (LRCN) trained on datasets such as UCF50, our project focuses on action prediction from YouTube videos. This technology plays a pivotal role in enhancingsafety and security by enabling the detection of anomalies and suspicious behaviours in surveillance systems. In healthcare, it supports remote patient monitoring, rehabilitation assessment, and personalized care plans based on observed actions. Addi- tionally, in sports analytics and entertainment, human action recognition informs performance evaluation, content creation, and immersive experiences. Our integration of a pre-trained LRCN model into a Flask web application signifies the tangible impact of machine learning on human action recognition, with ongoing efforts to optimize functionality through input validation, error handling, user feedback, security measures, and performance enhancements, illustrating the practical application and societal benefits of this innovative technology
Online Course Registration Management System: A Comprehensive Analysis
Authors: Shrivastava Aditya Raj
Published: May 2024

Abstract: Online Course Registration System is a digital way to Register for a course from an organization by a student from anywhere efficiently without any difficulties. This helps organizations to manage their student's data and know what courses are opted by the students solving the traditional form filling methods. With this system teachers/admin have access to their enrolled students and have an ability to add new courses, stream, semester for their courses. Students have the option of various subjects which they can opt for their upcoming semester with an ease on registration process. This system helps in streamlining the Registration Process, helps in communicating between students and organization and promotes accessibility.
Adjusting the Ideal Islamic Religious Education Curriculum to the Development of AI-Based Technology
Authors: Sari Hernawati  , Hafizh Muhammad , Muhammad Nur Faizi Arya
Published: May 2024

The development of technology is currently experiencing a very rapid development, one of which is the emergence of an innovation called AI (artificial intelligence). Islamic religious education indirectly gets an impact on the emergence of AI (artificial intelligence) so that it requires adjustments in the Islamic religious education curriculum so that the Islamic religious education curriculum remains ideal with the times. This research is a qualitative research using library study research method with causal descriptiva analysis. Primary sources in this research are all literature relevant to this theme, namely the Islamic religious education curriculum and AI (artificial intelligence) and secondary sources focus on other literature that is indirectly relevant to this research. The result of this study is to describe five adjustments to the Islamic religious education curriculum towards AI (artificial intelligence), namely understanding the concept of technology and AI, ethics of using AI, digital literacy skills, character education, and strengthening Islamic values.
Kerr-effect-based quantum logical gates in decoherence-free subspace
Authors: Du Fang-Fang , Fan Gang , Ren Xue-Mei
Published: May 2024

The decoherence effect caused by the coupling between the system and the environment undoubtedly leads to the errors in efficient implementations of two (or three) qubit logical gates in quantum information processing. Fortunately, decoherence-free subspace (DFS) introduced can effectively decrease the influence of decoherence effect. In this paper, we propose some schemes for setting up a family of quantum control gates, including controlled-NOT (CNOT), Toffoli, and Fredkin gates for two or three logical qubits by means of cross-Kerr nonlinearities in DFS. These three logical gates require neither complicated quantum computational circuits nor auxiliary photons (or entangled states). The success probabilities of three logical gates are approximate 1 by performing the corresponding classical feed-forward operations based on the different measuring results of the X-homodyne detectors, and their fidelities are robust against the photon loss with the current technology. The proposed logical gates rely on only simple linear-optics elements, available single-qubit operations, and mature measurement methods, making our proposed gates be feasible and efficient in practical applications.
There Have To Be Bells
Authors: Konstanze Stoiber
Published: May 2024

PhD project: Untitled, Supervisor: Brigitte Felderer

Envelope is a publication of the PhD in Art programme at the University of Applied Arts Vienna
Childhood Acute Leukemia profile in Low Middle Income Country
Authors: O.1 Touré A. , B.3 Sall F. , Bintou Diagne Fatou , M.Nd.2 Diouf , A.1 Koudio , A.2 Sall , Ch.1 Dial , M.1 Gadji , M.4 Raphael
Published: May 2024

Background: In Low- and Middle-Income Countries (LMICs),
pediatric cancer represents a significant cause of death, with Leukemia
being the most common malignancy in children. Our purpose was to
describe AL profile in Senegal in the context of childhood cancer.
Procedure: All data about childhood cancer were registered in
Redcap software A global database for epidemiological history of all new
patient that visited the pediatric -oncology care center of Dakar and
eight other specifics databases for each main cancers had been created
(Acute Leukemias, Nephroblastomas, Retinoblastomas, Neuroblastomas,
Non-Hodgkin lymphomas, Hodgkin lymphomas, Rhabdomyosarcomas
…….). Results : From January 2
2021 to September 30 2022, the
overall number of childhood cancer cases was 357; which amounts to
approximatively 204 children with confirmed cancer per year. The most
common cancer found among children was Acute Leukemia (AL) which
represents about 30% of all cancers (97 patients). A median age of 60
month and a ratio of males to females diagnosed with AL equal to 1.22
were found. Complete Blood cell Count and examination performed found
that the main abnormality were hyperleukocytosis, with a mean number of
white blood cells of 67.7g/L. Microscopic examination showed a large
amount of blast cells that sometimes represented more than 90% of WBC.
Acute Lymphoblastic Leukemia was more frequent in Senegal (64% of AL).
During these 21 month of follow up, 18 patients (18,5%) relapse and 38
(39%)died at different steps of traitement. Conclusion : In
Senegal, Immunophenotyping significantly improve AL diagnosis. the
implementation of cytogenetics is currently underway.
Analysis of the predictive value of motor coordination, anxiety and self-esteem levels at 9 years of age on self-perceived motor competence at 12 years of age.
Authors: BERGES MANUEL SEGURA , LOZANO CARLOS PEÑARRUBIA , BUSTAMANTE JUAN CARLOS
Published: May 2024

Background Motor and emotional variables, plus other factors like
gender, influence how preadolescent schoolchildren perceive their motor
competence level. Objective By means of a hierarchical linear regression
analysis, this longitudinal study aimed to determine the predictive
value that coordination, anxiety and self-esteem at the age of 9 years
can have on the self-perceived motor competence variable at the age
between 11 and 12 years. Methods Data collection was performed with 224
pupils at a first time point with grade-4 Primary Education (PEd) pupils
(mean age 9.11±.32 years) and a second time point with grade-6 PEd
pupils (11.49±.50 years). Results The results evidenced that
coordination, anxiety and self-esteem at the age of 9 years predicted
self-perceived motor competence at the age between 11 and 12 years. For
the female gender, age explained 5% of the variance for self-perceived
motor competence, coordination explained 19% and anxiety 8%. The male
gender explained 7% of the variance for self-perception, coordination
explained 23% of further variance, anxiety 16% of variance and
self-esteem 11%. Conclusions The evidence found reveals the importance
of more globally understanding motor competence to promote more suitable
and facilitating conditions that you need to perform physical activity
at school and elsewhere.
Enhanced extraction of Fe (Ⅲ), Mg (Ⅱ) and Ca (Ⅱ) and mass transfer characteristics in planar mesh-segmented microchannel
Authors: Luo Jianhong , Suo Yong , Guo Zini , Wang Shan , Liu Run , Guo Quanwu
Published: May 2024

Inspired by the effect of mesh segmentation, a novel planar mesh
segmentation microchannel device (PMSM) was developed to investigate the
extraction efficiency of Mg (Ⅱ) from liquid-liquid and gas-liquid-liquid
extraction by utilizing the segmented flow and segmentation effect of
metal mesh, as well as the continuous and multi-stage process. When O/A
= 1 and total flow rate Q = 4 mL/min, the extraction equilibrium value
was reached in only 79.5 s, while conventional stirred extraction
required 300 s. When aqueous phase residence time was kept constant and
Q = 2.5 mL/min, the maximum extraction efficiency of
31.04% was achieved in only 26.5s, which exceeded the equilibrium value
of the conventional one-stage extraction. In addition, the flow
patterns, total volume mass transfer coefficient (K a),
extraction kinetics and the correlation diagram of We
-We -E were used to further reveal
the mechanism of mass transfer enhancement.
Use of bacterial-based single-cell protein MRD-Pro® in diets for Nile tilapia (Oreochromis niloticus) fry
Authors: González-Félix Mayra , Félix-Berumen Reyna , Perez-Velazquez Martin
Published: May 2024

The research assessed the inclusion of MRD-Pro?, a bacterial-derived single-cell protein (SCP), in the diets of Nile tilapia (Oreochromis niloticus) fry with an initial weight of 0.12 grams. Using a diet composed of 45% crude protein and 14% crude fat, with an initial fishmeal content of 8.0% (designated as Diet 0.00% SCP, the control), SCP replaced 50% and 100% of the fishmeal on a protein basis, incorporated at levels of 4.25% and 8.50%, respectively. In addition, two more diets were prepared with higher levels of SCP, 14.50% and 21.00%. All diets were isoproteic and isolipidic. Weight gains of fish fed with the control diet (27.26 g) and the 4.25% SCP diet (21.61 g) were statistically comparable among themselves but were significantly greater than those of fish fed the 8.50% SCP (10.45 g), 14.50% SCP (11.54 g), or 21.00% SCP (7.28 g) diets, a trend observed across all growth and feed utilization indices. Increasing dietary SCP significantly reduced the crude fat and dry matter content in fish muscle tissue, while minimal changes in the amino acid profile of fish muscle tissue were observed. The bacterial-based SCP MRD-Pro? is a nutritious feed additive that can be effectively incorporated, within limits, into the diet of tilapia fry.
Assessment of circularity potential in façades of high-rise buildings in Belgrade
Authors: Posavec Andjela , Sudimac Budimir , Vasov Miomir , Warmbold Kevin , Klaus Georg
Published: May 2024

A growing trend in the construction of high-rise buildings is currently prevalent in Belgrade, where more high-rise buildings have been built in the last decade than in the previous 50 years. However, these buildings have a significant negative impact on the environment, as their sophisticated construction technologies demand substantial resources and energy consumption. The aim of this research is to assess the possibility of reducing the resource consumption of these buildings, focusing on the circularity potential of their fa?ades. The research is conducted on typical fa?ades of high-rise buildings in Belgrade. The applied methodology for assessing the circular potential of fa?ades relies on numerical calculations of material circularity indicators and CO2 emissions. Research findings draw conclusions about the circular potential at the beginning and end of the fa?ade's lifecycle, covering the production, dismantling and disposal phases of integrated components. The study highlights differences in resource consumption based on the architectural characteristics of the examined fa?ades and provides insights for their improvement through the implementation of materials with higher circularity potential and optimized impacts on the environment.
Measuring job demands and resources: Validation of the new job characteristic questionnaire (JCQ)
Authors: Popov Boris , Jelic Dragana , Dinic Bojana , Milinkovic Ivana
Published: May 2024

For the purpose of measuring job demands and resources, the Job characteristics questionnaire (JCQ) was created. The main aim of this study was initial validation of the JCQ and testing its psychometric properties. A total of 1201 respondents in five independent samples completed the JCQ along with the Work burnout scale (Kristensen et al., 2005), The Utrecht work engagement scale (Schaufeli et al., 2006), the Organisational citizenship behaviour scale (Popov, 2013), and the Intentions to leave the organisation scale (Berat et al., 2016). EFA and CFA performed on the two randomly created subsamples indicated an interpretable 9 factor solution of the JCQ. All extracted dimensions showed the expected intercorrelations, and for the most part meaningful correlations with other relevant variables. Based on the results of this preliminary analysis, the JCQ proved to be a comprehensive, valid and efficient instrument for measuring important job and organisational characteristics. It could be used in both academic and non-academic settings.
The Knowledge and Practice of Cardiopulmonary Resuscitation (CPR) among Nursing Students
Authors: Chung Su Chin , Duasin Clarice , Jelemie Caroline , Mamat Rohani , Musa Mazlinda
Published: May 2024

Cardiac arrest is the sudden cessation of a person’s cardiac activity and is often fatal if corrective life-saving interventions are not performed quickly. The American Heart Association advocates the need for high CPR competency among healthcare providers to increase the cardiac arrest survival rate. This study aimed to determine the knowledge and practice of nursing students on the acquisition and retention of CPR. A quantitative descriptive-correlation design was used, and a sample of 76 nursing students of Universiti Malaysia Sabah were recruited via a non-probability purposive technique. Data were collected using an online survey questionnaire that consists of 3 sections: Demographic, knowledge of CPR, and practice of CPR. They were analyzed using the correlation method. The results of this study are about the knowledge and practice of CPR. Nursing students' knowledge of the acquisition of CPR could be higher (39.36%), as is their practice (31.95%). The correlation coefficient between knowledge and practice is insignificant (rho = -0.073, p 0.531).In this study, both the knowledge and practice of CPR are independent.
Predictors of Sleep Quality Among Type 2 Diabetes Mellitus Patients
Authors: Febriani Dita Hanna
Published: May 2024

One of the health problems experienced by patients with type 2 diabetes mellitus is poor sleep quality. Poor sleep quality is an important factor in poor blood sugar regulation. This study aims to determine the predictors of sleep quality in patients with type 2 diabetes mellitus at a private hospital in Yogyakarta. This research was conducted using a cross sectional approach on 150 type 2 diabetes mellitus patients who were recruited at the Endocrine Clinic at a private hospital in Yogyakarta. The questionnaires used in this research were demographic data questionnaires, Perceived Stress Scale (PSS-10), Pittsburgh Sleep Quality Index (PSQI). Data analysis was carried out using Multiple hierarchical linear regression. The research results show that the average stress score of respondents in this study was 16.13 (SD = 4.59), which is in the medium category. Global PSQI showed that respondents experienced poor sleep quality (mean = 5.33, SD = 1.79). The Perceived Stress Scale score contributed 23.6% to the sleep quality score. The higher the respondent's stress level, the lower the respondent's sleep quality. Nurses can develop interventions to improve the sleep quality of type 2 diabetes mellitus patients.
Terjemahan Ungkapan Slang dalam Novel To All The Boys I’ve Loved Before karya Jenny Han
Authors: Harahap Annisah Inriani , Saragih Erikson , Rosa Rusdi Noor
Published: May 2024

The current issue in the translation process is the inappropriate choice of technique, which affects the accuracy and acceptability of the translation, as well as the need to identify slang expressions from the source language to the target language to ensure the style aligns with the target language's characteristics. Therefore, this study aims to analyze the techniques used to translate slang expressions from English (the source language) into Indonesian (the target language) using the theories of Butkuiviena and Petrulionē (2010), and Vinay and Darbelnet (1995) in the novel To All The Boys I've Loved Before, while also analyzing the linguistic style of the slang translation from English into Indonesian using Joos's theory (1967). The research method employed is qualitative, with document analysis for data collection. Meanwhile, the data analysis method uses thematic analysis. The results show that the most dominant technique used by translators for translating slang expressions is the literal technique. This finding suggests that the literal translation technique is generally capable of accommodating and sufficiently accurate in translating slang expressions in this novel, which features light and casual language use. Given that the novel narrates a simple teenage story, the dominant linguistic style in the translation of slang expressions is casual style. This finding reflects that the novel's style closely resembles the preferred linguistic style of young readers, who tend to be more relaxed, friendly, and open.