bluuebunny/crossref_metadata_2025 huggingface dataset:
Sociocultural factors influencing ‘assessments for learning’ at the clinical workplace – A scoping review
Authors: Riaz Qamar , Waterval D. G. J. , Sehlbach Carolin , Paulus A. T. G (Aggie)
Published: May 2024

Background
Workplace-based assessments (WPBAs) play a crucial role in competency-based medical education (CBME) by facilitating learning and informing progression. While many studies have emphasized the role of socio-cultural factors on their implementation as assessment for learning (AfL), a gap exists in understanding how these factors influence WPBAs across different cultural contexts. This review aims to bridge this gap by elucidating how various socio-cultural factors can either enable or hinder the utilization of WPBAs for AfL.
Methods
Arksey and O’Malley’s 5-stage framework was used for this scoping review. Nine databases (PubMed, CINAHL, Dentistry & Oral Sciences Source, Scopus, Science Direct, Cochrane, Google scholar and PakMedinet were searched for studies published between 1995 and 2023. Hofstede’s 4 cultural dimensions namely power distance index, Masculinity vs Femininity, Uncertainty Avoidance Index, and Individualism vs Collectivism were used as the lens to describe the identified socio-cultural factors.
Results
Of 2939 articles screened for eligibility using defined inclusion and exclusion criteria, 81 were included for full text review. The factors influencing use of WPBA for AfL were classified broadly into Cultural and Contextual factors. While most contextual factors behaved similarly in western and non-western contexts, differences were found in the way cultural factors affected perceptions and use of WPBAs in different cultural contexts.
Conclusions
This review provided insights into varying effects of socio-cultural factors on WPBAs as AfL across diverse cultural contexts. These insights can be valuable for institutional leaders, program directors, and faculty members engaged in the implementation of effective WPBA within their specific contexts. prompting further investigation.
Sequential interpenetrating polymer network confines shear-aligned graphene oxide liquid crystals enabling precise molecular sieving
Authors: Bose Suryasarathi , Gupta Ria Sen , Islam Sk Safikul , Pradeep Dhondi , Rajan Ananth Govind
Published: May 2024

Graphene oxide (GO)-based membranes hold great promise for revolutionizing nanofiltration, thanks to their seamless water transport and efficient ion and molecular sieving capabilities. However, challenges such as membrane disintegration under high pressure and nanochannel swelling due to water intercalation hinder their upscaling. In this study, we addressed these issues by aligning GO-based liquid crystals through shear forces and stabilizing their stacking using a sequential interpenetrating polymeric network (IPN) via electrostatic anchorage. This approach retained long-range order through nanoconfinement. By carefully selecting starting materials for the IPN, such as dopamine and GO liquid crystals, we achieved a nematic phase at extremely low concentrations, a feat not achievable with conventional methods. The resulting membranes were extensively characterized using microscopic and spectroscopic techniques, revealing pore sizes in the range of 7 nm facilitated by nanomaterial inclusion. These highly ordered and structurally robust membranes exhibited exceptional water flux (145 LMH) and long-term separation efficiency (> 97%) for monovalent and divalent salts, dyes, and antibiotics. Molecular dynamics simulations provided detailed insights into the ionic sieving mechanism of the GO-based IPN membranes. The MD simulations support that the water flux is reduced upon arresting the rGO-I sheets within IPN which scales with the concentration of rGO-I. In addition, this confinement at molecular length scales leads to a reduction in the number of ions residing within the membrane region, favouring retention within the feed region. These results well corroborate with the observed experimental evidence. Moreover, the membranes showed antifouling, chlorine tolerance, antibacterial properties, and cytocompatibility. They remained stable over repeated operational periods and endured a wide range of harsh environmental conditions without swelling. These resilient and robust membranes pave the way for large-scale membrane fabrication and sustainable water treatment.
Implicit Neural Representation Steganography by Neuron Pruning
Authors: Dong Weina , Liu Jia , Chen Lifeng , Sun Wenquan , Pan Xiaozhong , Ke Yan
Published: May 2024

Recently, implicit neural representation (INR) has started to be applied in image steganography. However, the quality of stego and secret images represented by INR is generally low. In this paper, we propose an implicit neural representation steganography method by neuron pruning. Initially, we randomly deactivate a portion of neurons to train an INR function for implicitly representing the secret image. Subsequently, we prune the neurons that are deemed unimportant for representing the secret image in a unstructured manner to obtain a secret function, while marking the positions of neurons as the key. Finally, based on a partial optimization strategy, we reactivate the pruned neurons to construct a stego function for representing the cover image. The recipient only needs the shared key to recover the secret function from the stego function in order to reconstruct the secret image. Experimental results demonstrate that this method not only allows for lossless recovery of the secret image, but also performs well in terms of capacity, fidelity, and undetectability. The experiments conducted on images of different resolutions validate that our proposed method exhibits significant advantages in image quality over existing implicit representation steganography methods.
A comprehensive bioinformatics analysis of THOC3 highlights its potential role in pan-cancer and clinical significance in lung adenocarcinoma
Authors: Zhang Jixin , Zhao Qi , Zhao Jidong , Cui Xing , Chen Xin
Published: May 2024

THOC3, a crucial component of the THO complex, is involved in mRNA biosynthesis and export. Studies have shown that dysregulation of THOC3 is linked to various aspects of tumorigenesis, including tumor initiation, progression, and metastasis. In this study, we utilized a comprehensive bioinformatics analysis to explore the role of THOC3 in different types of cancer. Our analysis of different types of data helped us understand how THOC3 contributes to cancer at the molecular level, and its clinical significance. Moreover, our immune analysis revealed notable correlations between THOC3 and multiple immune-related signaling pathways. Our findings highlight the potential oncogenic role of THOC3 across different types of cancer and propose dysregulation of THOC3 as a key driver in tumor development. Furthermore, the associations between THOC3 and immune-related signaling pathways indicate its potential as a target for further experimental validation and investigation in the realm of immunotherapy.
Mechanism of geothermal water level rise induced by pumping in an island
Authors: Lee Cholwoo , Hamm Se-Yeong , Cheong Jae-Yeol
Published: May 2024

Groundwater levels rarely rise during pumping, and the underlying mechanism for their rise has not yet been revealed. Water level rise was observed during pumping at a deep geothermal well located approximately 1 km from the western coastline on Seokmo-do Island, Korea. We revealed the mechanism of the water level rise based on the relationship between the water level and tidal efficiency and the relationship between the flowing water temperature and the amount of naturally flowing water to the surface, considering the density and static pressure (h) of water. When water was pumped out of the geothermal well over time, the temperature at 9 m depth increased, whereas the density of the water continuously decreased, and then h increased. From the start of the natural flow, the water temperature in the well increased consistently along with a progressive increase in the amount of natural flow. When the temperature of naturally flowing water reaches ~ 65.5℃, the rate of natural flow increases to ~ 1,441 m3/d with ∆h of ~ 22.3 m. Using a simple formula of transmissivity and maximum drawdown during steady-state long-term pumping at a confined aquifer, the water level was 7.03 m above the land surface at a natural flow rate of 1441 m3/d.
Comparative Molecular Docking and ADMET Studies of Alpha-1-antitrypsin with Nanoparticles
Authors: Sundeep Lakshmi M , Jayaprakash Sakthidasan , J Sandhya , Milky Mariamawit
Published: May 2024

Stroke causes a large number of deaths yearly since it is not detected early. Stroke is caused by the narrowing of the blood vessels and reducing the flow of blood and oxygen to the brain. When ischemic stroke is about to occur some proteins are expressed making them a potential biomarker. The biomarker we chose to work with is alpha-1-antitrypsin because there are studies showing the correlation of alpha-1-antitrypsin with the acute stage of stroke. Due to the inflammation caused during stroke, there will be a rise in alpha-1-antitrypsin. By docking alpha-1-antitrypsin with nanoparticles we can use them as a diagnostic tool for stroke. Nanoparticles have shown a promising result in detection of cancer, arthritis and other infectious disease making it a potential ligand. From this study titanium oxide showed the lowest binding energy and showed lower toxicity compared to the other nanoparticles used in the study. By performing further studies, binding of alpha-1-antitrypsin and titanium oxide can be used for the detection of stroke at the early stage.
Fabrication and Wetting Characteristics of Copper Thin Film: An Active Layer for SPR-based Sensor Applications
Authors: Hossain Mohammad Kamal , Aljishi Abdullah , Khan Firoz , Ul-Hamid Anwar , Rahman Md Mosaddequr
Published: May 2024

In this work, a simple and two-step process was demonstrated to develop multifunctional Cu-based thin films that would be suitable for thin film photoactive devices. Cu thin films on quartz glass substrates were prepared by sputtering technique followed by a thermal treatment. The samples were annealed at high temperatures such as 200, 400, and 600°C for 2 hrs in a tubular furnace. Surface topography was investigated by a high-resolution scanning electron microscope (FESEM) and SEM-aided energy dispersion spectroscopy (EDS). At high temperatures, the thin films were found to have clusters and voids. Detailed studies on optical properties such as UV-vis absorptions, energy band gaps and Urbach energies have been carried out. A red shift in absorption edges (from 464 to 616 nm), a decrease in energy band gaps (from 2.38 to 1.54 eV) and an increase in Urbach energies (from 193 to 272 meV) were observed for those samples annealed at higher temperatures. Sessile drop tests were carried out to find the wetting contact angle and demonstrate the hydrophobicity of the thin film of pristine Cu and of those treated at high temperatures. Sessile drop tests were carried out to find the wetting contact angle (WCA) and demonstrate the hydrophobicity of the thin film of pristine Cu and of those treated at high temperatures. An approximate WCA of 71.9° was determined for the Cu thin film. After the samples were treated at 200°C and 400°C, respectively, the surface became more hydrophobic by 92.4° and 85.2°. Nevertheless, the same thin film's WCA was decreased and its hydrophilicity increased during additional annealing. Cu-based thin films have been suggested as the active layer in an SPR sensor model, and the spectrum and angular resolved reflectance properties have been thoroughly investigated. At spectral wavelengths of 600, 700, and 800 nm, the optimum thickness of Cu thin film was determined to be 40 nm at SPR angles of 44.7°, 42.7°, and 42.15°.
Optimal Video Caching at The Edge of Network by Using Machine Learning
Authors: Ullah Misbah , Xiaopeng Wang , Khan Sohail
Published: May 2024

Efficiently managing network resources in the dynamic field of video-on-demand (VoD) services is a significant challenge. This requires creative methods to optimize video caching strategies. This study examines the use of machine learning (ML), particularly reinforcement learning (RL), into edge network designs to improve video caching procedures. The decentralized, adaptable, and learning characteristics of machine learning offer a powerful method for effectively managing caching in real-time. This technique leads to reduced latency, optimized bandwidth utilization, and improved cache hit rates. Conventional caching algorithms frequently fail to adjust to the changing needs and popularity of material that is inherent in Video on Demand (VoD) services. Our study presents an innovative reinforcement learning (RL) caching method that is specifically developed to automatically adapt caching choices using real-time data analysis, thus guaranteeing an effective content delivery network. We created and evaluated three separate machine learning models: Convolutional Neural Networks (CNN) for extracting features, Deep Q-Networks (DQN) for generating decisions, and a hybrid model that combines the advantages of both CNN and DQN to achieve improved performance. By conducting thorough simulations and implementing our models in real-world deployment scenarios, we have shown substantial improvements compared to traditional caching methods in terms of scalability, adaptability to evolving user patterns, and overall network efficiency. This innovative method not only simplifies the transfer of content in Video on Demand (VoD) systems, but also establishes a new standard for integrating Artificial Intelligence (AI) technologies in network optimization. It effectively tackles present and future obstacles in the digital streaming industry.
DEUNET (Dokuz Eylul University Seismological Observation Network): Seismicity of Izmir and Its Surroundings with A New Local Seismic Network in Western Anatolia
Authors: Gök Elçin , Kalkar Berkay , Kurtulmuş Tevfik Özgür , Kaftan İlknur , Erhan Zülfikar , Turan Karaoğlan Seçil , Şalk Müjgan
Published: May 2024

Local and regional networks are needed to better examine the regions with complex tectonism, such as western Anatolia. Local seismic networks may provide critical data to both scientists and local authorities. They are also required as a base for future early warning systems which Izmir, the largest city in the western Anatolia, does not have one. With the support of Dokuz Eylul University, Engineering Faculty and the Department of Geophysical Engineering the installation of a new local network DEUNET established on February 15, 2019, to obtain new and detailed information about Izmir and its surroundings by observing microearthquake activity as well as major and damaging earthquakes in the region. The obtained maps indicate that the network in this period has the capability to detect and locate local, regional and teleseismic earthquakes occurred. According to the results, an intense seismic activity was observed in the northeast and southwest of the station network from its establishment to the present. These recent active areas affected by two large earthquakes which one is called Aegean Sea – Samos earthquake and the other is Manisa earthquake occurred and affected Izmir City and its surroundings. We also examined the focal mechanism solutions of some recorded earthquakes in this paper. In addition, the ground characteristics of the station locations were examined using the recorded earthquakes. Since Dokuz Eylul University is the only university in Western Anatolia that offers seismology education, this network will also provide significant benefits for seismology education.
Farklı Uzaklık Fonksiyonlarının Spektral Kümeleme Algoritmasının Performansına Etkisi
Authors: Telsiz Kayaoğlu Gülay İlona , Eroğlu Mustafa
Published: May 2024

Makine öğrenmesinin bir kolu olan denetimsiz öğrenme problemlerinde kullanılan kümeleme algoritmaları, veri noktalarını benzer özelliklere sahip olan gruplara ayırmak için veri noktaları arasındaki uzaklıkları ölçen bir uzaklık fonksiyonu kullanır, ve bu, standart durumda Öklid uzaklığıdır. Bununla birlikte en sık kullanılan kümeleme algoritmalarından k-ortalamalar (k-means) kümeleme algoritmasında Öklid uzaklığı yerine farklı uzaklık fonksiyonları kullanılarak elde edilen sonuçların karşılaştırıldığı [1],[2] gibi çalışmalar mevcuttur. Bu çalışmada ise Spektral kümeleme algoritması farklı uzaklık fonksiyonları ile ele alınarak sonuçlar değerlendirilmiştir. K-ortalamalar algoritmasının başarılı şekilde ayıramadığı veri kümeleri tercih edilmiş ve spektral kümeleme algoritmasında Öklid uzaklığının yanı sıra farklı uzaklık fonksiyonları da kullanarak daha iyi bir kümeleme yapılıp yapılmayacağı incelenmiştir.
Regional Flood Frequency Analysis of Northern Iran
Authors: Adhami Maryam
Published: May 2024

The combination of the L-moment approach and multiple regression offers an attractive solution to provide flood estimation at ungauged sites within the Gorganrood and Ghare-sou river basins in the north of Iran. This research has two main goals including regionalization by cluster analysis and regional estimation of flood quantile at the site of interest. After data analysis regarding climatic and hydrologic data series, hierarchical approach was carried out to identify homogeneous regions. The homogeneity test was done by H-Statistic, a testing method based on L-moments. The results showed that a subdivision of selected watersheds into homogenous groups is necessary; therefore, two homogenous regions were formed. In the present study, five three-parameter distributions were fitted to the homogeneous regions and the best-fit one was identified using the L-moments approach. The results of the goodness-of-fit analysis for the two regions introduced the Generalized Pareto (GPA) distribution for both regions as acceptably close fits to the regional average L-moments. Besides, multiple regression was applied to diagnose the effective independent parameters on discharge value. The results reported percent of permeable formations, average annual precipitation, and stream slope as the most effective variables.
Buffer ve Network Analiz Teknikleri Kullanılarak Kentsel Aktif Yeşil Alanlar için Mekânsal Yeterlilik ve Erişilebilirlik Analizi
Authors: Gümüş Münevver Gizem , Çiftçi Hasan Çağatay , Gümüş Kutalmış
Published: May 2024

Ülkemizde özellikle son yıllarda sanayileşmenin ve hızlı nüfus artışının getirisi olarak artan çevre kirlilikleri, geçen yıl yaşanan yangın ve bu yıl devam eden deprem ve sel felaketleri gibi doğal afetlerin hızlı artışı, Covid-19 gibi salgın hastalıkların sönümlenmeden devam etmesi durumu sebebiyle sürdürülebilir kentlere olan ihtiyaç giderek daha ciddi bir boyuta ulaştığı gözlemlenmektedir. Sürdürülebilir kentlerin tasarlanmasındaki kritik fenomenlerden birisi de kentsel aktif yeşil alanların mevcudiyeti ve mekânsal olarak tasarlanmasıdır. Arazi kullanımında yapılan halihazırdaki yanlış planlamalar, özellikle sürekli yapılaşma faaliyetleri, kentsel yeşil alanların mevcudiyeti ve yeterliliğini giderek azalttığı gözlemlenmektedir. Bu çalışmada, Niğde kent merkezi örneğinde aktif yeşil alan olarak tanımlanan Çocuk Oyun Alanları (ÇOA), Semt/Mahalle Park Alanları (SPA) ve Spor Alanları (SA) için mekânsal yeterlilik ve erişilebilirlik analizleri gerçekleştirilmiştir. Bu analizler için 14.06.2014 tarih, 29030 sayılı Resmi Gazetede yayımlanan Mekânsal Planlar Yapım Yönetmeliğindeki kriterler esas alınmıştır. Mekânsal yeterlilik analizi sonucunda Niğde kent merkezinde bulunan 26 adet mahalle içerisindeki 24 adet mahallenin aktif yeşil alanların yetersiz düzeyde olduğu sadece 2 adet mahallenin yönetmelikteki standartlara uygunluk gösterdiği tespit edilmiştir. Yasal yönetmelikte yer alan kişi başı 10m2/kişi standardının yakalanmaması hazırlanan imar planlarının aktif yeşil alanlar üzerindeki planlamaların yetersizliğini açığa çıkarmıştır. Çalışmada mekansal erişilebilirlik değerlendirmesi için Buffer ve Network analiz yöntemleri kullanılmış ve yöntemler birbiri ile karşılaştırılmıştır. Yöntem karşılaştırmasında ise Network analiz tekniğinin Buffer analiz tekniğine kıyasla çoklu girdi parametresi kullanılması sebebiyle daha kapsamlı ve gerçekçi sonuç ürün sunduğu tespit edilmiştir.
Kütlesel Rotorlu İndüksiyon Motorlarında Oluşan Eddy Akımlarının Kollokasyon Yöntemi Kullanılarak Çözümü
Authors: Yıldız Hüseyin
Published: May 2024

Elektrikli araç teknolojisinin hayatımıza girmesi ile birlikte farklı türde elektrik motorlarının gelişimi ve verimlilik hesaplamaları araştırmacılar tarafından ilgi görmektedir. Kalıcı mıknatısların üretim maliyetlerinin artması nedeni ile, yüksek hızlı çalışan sistemlerde kullanılmak üzere çeşitli indüksiyon motor tasarımları mevcuttur. Kütlesel rotorlu indüksiyon motorları (KRIM) basit yapıları, üretim kolaylığı, yüksek hızda titreşimsiz çalışması gibi nedenlerden dolayı öne çıkan motor türlerindendir. KRIM yapılarının optimizasyon süreçlerinde analitik çözümlerin elde edilebilmesi büyük önem taşımaktadır. Bu çalışmada, KRIM tasarımlarında, ağırlıklı kalanlar yöntemlerinden biri olan kollokasyon yönteminin kullanılabilirliği araştırılmıştır. Çalışmada Maxwell denklemleri farklı mertebede kollokasyon polinomları tarafından modellenerek analitik çözümler ile kıyaslanmıştır. Çalışmada, kollokasyon yönteminin elektromanyetik sistemlerin çözümü için kullanışlı olduğu, 12 ve üzeri kollokasyon noktası kullanılması durumunda kabul edilebilir (RMSE
Alüminyum 2024 T351 Malzemeye Delik Delinmesi İşleminde Kesme Parametrelerinin İtme Kuvveti ve İşlem Süresine Göre Optimizasyonu
Authors: Turgut Yunus Zübeyir , Özsoy Murat
Published: May 2024

Delik delmenin imalat sektörü içerisindeki yaygınlığı göz önünde bulundurulduğunda, delik delinen proseslerde takım aşınmasını, harcanan enerjiyi ve süreyi minimize ederek maliyeti düşürmek amaçlanır. Bu da delik delmeye etki eden parametrelerin optimizasyonu ile mümkündür. Bu çalışma kapsamında havacılık ve uzay endüstrisinde oldukça fazla tercih edilen dolayısıyla binlerce delik delme işlemine tabi tutulan Al 2024 T351 alaşımı kullanılarak delik delme deneyleri gerçekleştirilmiştir. Kesme parametreleri olarak, kesme hızı (50, 70, 90 ve 110 m/dk) ve diş başı ilerleme miktarı (0,06/0,08/0,1 ve 0,12 mm/diş) ele alınmıştır. Deneyler Taguchi L16(4^2) deney tasarımına göre 8 mm çaplı üç takım türü (HSS, HSSE-Co5, HSSE-Co5 TiAlN kaplamalı) için ayrı ayrı gerçekleştirilmiştir. Her bir delik için işleme yönündeki (z ekseni) maksimum kuvvetler tespit edilmiştir. Tespit edilen bu maksimum itme kuvvetleri kullanılarak Minitab 19 yazılımı yardımıyla Taguchi optimizasyonları gerçekleştirilmiştir. Ayrıca maksimum itme kuvveti ve işlem süresini birlikte minimize eden kesme parametrelerinin çoklu yanıt optimizasyonları da gerçekleştirilmiştir. Üç takım türü için de maksimum itme kuvvetleri açısından parametrelerin optimum seviyeleri; kesme hızı için 50 m/dk olarak, diş başı ilerleme miktarı için ise 0,06 mm/diş olarak Taguchi optimizasyonu ile tespit edilmiştir. Maksimum itme kuvveti ve işlem süresini birlikte minimize eden kesme parametrelerinin optimum seviyeleri, kesme hızı için 110 m/dk olarak diş başı ilerleme miktarı için ise 0,06 mm/diş olarak çoklu yanıt optimizasyonu ile tespit edilmiştir.
Secure Communication Between Unmanned Aerial Vehicle and Ground Control Station
Authors: Savaştürk Pınar , Kubilay İbrahim Atakan , Dalkılıç Gökhan
Published: May 2024

The main purpose of this article is to provide data transfer by providing secure communication with drones, which is a kind of unmanned aerial vehicle (UAV). In our study, without intervening hardware and software of the drone (most of the drones do not allow interference with their hardware and software), a security layer is added for data communication. In our study for adding this layer, Wemos D1 Mini, having wireless network module and cheap, was used. In the scope of the study, Wi-Fi modules are customized and converted into Access Point and Client forms. The message sent to the specialized modules is provided through the Mobile Application, which has been designed and implemented for this study. Thus, commands were transmitted in an encrypted form in the wireless data transmission environment. As a result, this concept has become a prototype that can be customized according to any specific drone having Wi-Fi communication.
Digital system based on augmented reality technologies for remote technical assistance for maritime vessels
Authors:   Mircea cel Batran Naval Academy, Dobref V.
Published: May 2024

Augmented reality in shipping is currently at an advanced stage in most developed countries, but in Romania, there is room for development in this sector. Augmented reality is currently used in the shipping industry, mainly by Western-based companies, but also as a pilot or prototype model in marine engineering, as in the case of the Yara Birkeland, a fully autonomous ship sailing unmanned between 2 Scandinavian ports. Augmented reality has great potential to assist the maritime industry in various operations such as remote assistance, engine diagnostics, surveys, work reporting, and training. The analysis presents numerous examples of augmented reality applications and work needs to be done before implementing these solutions and considering commercial requirements.
Ukrainian USV (Uncrewed Surface Vessel) attack on ships of the Black Sea Fleet Lessons learned
Authors:   Mircea cel Batran Naval Academy, BURLACU P
Published: May 2024

The USVs attack on the Russian Black Sea Fleet naval base in Sevastopol opened a new chapter in warfare at sea through the appearance of a new weapon and the consequences of this attack on the conduct of the war in Ukraine. A primary analysis of the attack and the weapon, as well as its consequences at the tactical, operative and strategic level provides us with the first lessons regarding the new way of fighting at sea.
Modelling of navigation and hydrometeorological conditions in the coastal and harbour area Constanta – Agigea
Authors:   Mircea cel Batran Naval Academy, Nedelcu A.T.
Published: May 2024

The success of the ship's voyage depends on accurate and up-to-date meteooceanographic information about the sea areas crossed. This article demonstrates the benefits of establishing routes appropriate to the knowledge of the actual meteo-oceanographic conditions, which will ensure: time and fuel savings, increased safety of the vessel, crew, and mission success. The modelling of navigation and hydrometeorological conditions in the coastal and harbour area of Constanta Agigea is necessary to know the efficient execution of the voyages of an integrated multi-sensor maritime platform, intended for real-time intervention for disaster risk management in Romanian coastal and harbour areas.
Navigation and Engine room simulations joint research
Authors:   Nikola Vaptsarov Naval Academy, Bakalov I.
Published: May 2024

NVNA Varna, Bulgaria uses simulators toinstruct scholars in its Marine Program. Our machine room simulatorsare important for the unborn marine masterminds, while ground simulators are used by scholars who study in the Navigation program. Generally scholars in the two programs practice with these simulators independently. In this paper we want to show the goods on instruction when an machine room simulator Wartsila works together with a ground simulator. The integration between the simulators gives students valuable experience in platoon work on boat board.
The use of semantic analysis in the identification of attacks based on social engineering techniques
Authors:   Military Technical Academy ", Moinescu R. ,   Ferdinand I"
Published: May 2024

The need to detect attacks based on social engineering techniques has put researchers in the position of building different tools, observation grids or even theories able to capture different behaviors specific to simulated behavior. Although phishing is the main attack vector used in most cybersecurity offensive playbooks, the most effective attacks involve dialogue between the attacker and the target. This paper explores threat detection using semantic analysis performed with "Tropes" software.
An analysis of steganographic and steganalytic schemes for AAC
Authors:   Military Technical Academy, Stoica M.
Published: May 2024

AAC (Advanced Audio Coding) audio files are increasingly used, gradually replacing MP3 format files in many audio/video services, due to their low compression rate and good audio signal quality. Due to these properties, AAC audio files are frequently used for embedding information hidden by steganographic methods. This paper presents an analysis of the steganographic schemes used for audio files in AAC format, but also of the detecting and extracting methods of embedded information (steganalysis). The aim is to evaluate these steganographic and steganalytical systems, which will lead to new research directions.
(Simple) applications of steganography for images
Authors: Rusu M.
Published: May 2024

Steganography, alongside cryptography, are efficient methods for confidential information transmission. The subject of this paper will be represented by a method of communicating in secret based on steganographic techniques. In the paper's contents a steganographic solution for hiding a text in a container image will be presented, as well as the reverse operation of extracting the text from the steganographic image obtained from a direct method. The result of applying the steganographic method will be compared for different resolutions of the container images. An analysis will be able to occur through visual inspection. The paper's purpose is to highlight the capacity of integration of the stegotext correlated to the image's resolution
Sustainable development of rural localities in Dobrogea through digitalization
Authors: Oncescu Fl.
Published: May 2024

Romania's sustainable development strategy aims to integrate economic, social and environmental development objectives in such a way as to ensure sustainable and equitable economic growth that does not negatively affect people's quality of life or the environment. Promoting innovation through digitisation is necessary to enhance competitiveness and support economic and social development, including rural areas. This article contains a first analysis of how digitisation, as a European and national programme, can enhance the sustainable development of rural localities in Dobrogea, with application to the elaboration of such a digitisation strategy for dobrogean’s rural area
Modeling of Maritime English Course for ETOs
Authors:   Lithuania, Pranckevičiūtė V.
Published: May 2024

The article aims at finding the points of change in Maritime English for ETOs to suit the needs of the students, industry and IMO requirements. The already existing course built in accordance with the recommendations provided in the Model course 3.17 by IMO is reviewed in terms of different aspects and some suggestions for the linguistic part are given.
Reliability Optimization of CPS by digital twining
Authors:   Politehnica Bucharest, Popențiu-Vlădicescu F.
Published: May 2024

Digital twining (DT) is a recent approach in designing, optimization, and exploitation of cyber physical systems (CPS). DT can be used to simulate the behaviour of the CPS during a failure event, allowing reliability engineers to identify areas of the system that are vulnerable to failure, the root cause of the failure and to develop strategies for prevention. In this paper the interest goes to designing CPS based on digital twining approach while maximizing CPS reliability. The most common CPS reliability requirements are investigated and their reliability optimization strategies when using DT are discussed.
The use of Scene Text Detection methods for news crawl extraction
Authors:   Titu Maiorescu University, Milutinovici S.
Published: May 2024

News crawl extraction is a subset of media monitoring. It is not directly related to the broadcast itself and not spoken by any anchor or guest - therefore its content cannot be inspected via speech-to-text tools. News crawl content is only available as text in video frames so its extraction can be done using Scene Text Detection techniques. This work tests the most used deep learning Scene Text Detection methods (both regression and semantic segmentation approaches) to see if they can be used as a base in news crawl extraction. Our investigation shows that regression based model CTPN performs better for our particular purpose that the semantic segmentation based EAST and CRAFT models.
Violencia en la relación de pareja y psicopatía
Authors: Amador Sánchez Omar , Suárez Ortiz Liliana Andrea , Hernández Arboleda María Catalina , García Martínez Leydy Juliana , Arteaga González Jennifer
Published: May 2024

En el presente estudio investigativo, producto de un ejercicio académico del semillero de investigación Psicopatía y Violencia en las Relaciones de Pareja, se pretende revisar dos temáticas que llaman la atención. Esto es, violencia en la relación de pareja, y rasgos psicopáticos en las manifestaciones de comportamientos violentos de mujeres vs hombres y hombres vs mujeres. El método utilizado fue la revisión en bases de datos, específicamente artículos, como productos de investigación desde una lógica cuantitativa. Los resultados apuntan a 21 artículos tenidos en cuenta de acuerdo con los criterios de inclusión. En cuanto a los resultados, algunos datos relacionados con el comportamiento violento en pareja, han permitido identificar que tanto hombres como mujeres pueden ser violentos dentro de una relación. En la gran mayoría de las investigaciones, los estudios apuntan más hacia la criminalidad masculina que a la conducta violenta ejercida por las mujeres.
Asesinos seriales: un comparativo plurifactorial entre tres criminales colombianos
Authors: Ávila-Navarrete Viviana Carmenza , Buitrago Bonilla Lina Tatiana , Alarcón Ávila Daniel Sebastián
Published: May 2024

A lo largo de la historia son muchos los casos que se han escuchado acerca de asesinos en serie; para el caso de Colombia los datos son escasos acerca de los perfiles criminales. El objetivo de este estudio es analizar las características del comportamiento criminal de tres asesinos seriales con nacionalidad colombiana mediante un comparativo entre los factores familiares, psicológicos, situacionales y ambientales.En cuanto a la metodología, el enfoque fue cualitativo con perspectiva interpretativa desde la hermenéutica, a partir de una de revisión documental que se consolidó con el registro de 50 resúmenes analíticos de estudio. A partir de ahí, se encontró que en los tres criminales colombianos prevalecen factores comportamentales de activación, relacionados con actos conscientes y libres que se focalizan en la satisfacción de una necesidad causada por eventos traumáticos del pasado, a partir de los cuales construyeron un patrón comportamental violento y repetitivo. Resultado de lo anterior, se reflexiona sobre la importancia de un ambiente familiar y escolar sano y estimulante para los niños, niñas y adolescentes, donde la no-violencia se convierta en el mejor modo para prevenir la formación de criminales seriales.
Presentación
Authors: Betancur Arias Juan Diego
Published: May 2024

La quinta edición de la revista Ciencia y Academia se une a la celebración de vida institucional y busca exaltar cómo la función sustantiva de la investigación ha logrado irse transformado con el paso del tiempo. El reconocimiento de las líneas históricas de la investigación, sus trayectos, formas y nuevas maneras de producir el conocimiento en la Universidad Católica Luis Amigó establecen los insumos deltexto de efemérides titulado: “cuarenta años de trayectorias en investigación lideradas por mujeres”. Es la antesala a los diferentes textos que conforman la edición especial. El editorial se sitúa en una de las realidades contextuales que vivencia la revista y sus prácticas en la cotidianidad, se denomina: “La investigación formativa en los escritores nóveles: un asunto de tacto, escucha, cuidadoy espera”
Mechanisms conditioning the implementation of an integrated quality assurance and enhancement approach at a South African University of Technology
Authors:   , Mabote Ntele Emily
Published: May 2024

Literature related to quality in higher education argues that achieving an integrated approach which balances improvement and accountability in a single quality assurance (QA) system, is not easy. In response to the literature, I decided to conduct a realist study to identify mechanisms that can enable or constrain the implementation of an integrated approach in a single quality assurance system at the Tshwane University of Technology (TUT). The scope of my study was limited to teaching and learning as one of the University’s core functions. An integrated approach encouraged a deliberate focus and attention on transformative learning and teaching. The main research question, “what mechanisms enable or constrain the implementation of an integrated approach to quality assurance and enhancement at the Tshwane University of Technology,” underpinned this study. I used Bhaskar’s critical realist philosophy as an underlabourer for the study and Archer’s social realism as an analytical framework to enable me to seek answers to the research questions. The study took the form of a case study at TUT. Data was generated through document analysis and thirty-five semi-structured interviews with agents from across the various levels and campuses of TUT. In keeping with a social realist study, I used Archer’s concept of analytical dualism to analyse structure, culture, and agency separately, and their interplay. My findings indicated that compliance and accountability are related cultural mechanisms and were dominant in the University’s cultural system. This signalled a strong emphasis on quality assurance (QA) rather than quality enhancement (QE). In addition, the findings showed that the University has established sufficient structural and agential enablements to assure the quality of learning and teaching. However, there is a need to integrate transformative cultural mechanisms into the University’s QA system. Furthermore, there were limited structural, cultural, and agential enablements to encourage enhancement. In this regard, I recommended mechanisms that should be in place for an integrated QA and QE approach to be successful at TUT. My main argument is that an institutional context that encourages structural, cultural, and agential QA and QE mechanisms to work in tandem can enable an integrated QA and QE approach.
Exploring the interplay between foundation phase learners’ home and school literacy practices
Authors:   , Magxala Xoliswa Patience
Published: May 2024

The thesis looked at Foundation Phase children’s early home literacy practices and examined how these literacy practices are adopted at school in Libode, Eastern Cape Province, South Africa, a rural area. The purpose of the study was to determine how early literacy practices at home are adopted in classrooms. The study aimed to determine the relationship between home and school literacy. To understand the literacy practices used at home and school by four Foundation Phase children and four Foundation Phase teachers, an interpretive ethnographic study design was used. Participants who spoke isiXhosa as their first language participated in data collection using structured observations, video and audio recordings, field notes, and unstructured interviews. The study’s framework, the Cultural Historical Activity Theory, was used as a tool to collect, examine, and interpret data through its various components. Themes were identified, arranged, and categorized. The findings revealed children from low socioeconomic backgrounds have rich literacy practices. Teachers do not acknowledge or recognize the contributions that these children’s cultural backgrounds make. The study recommends that schools start acknowledging the advantages that children’s environments have for them. It also suggests that teachers build on the knowledge that children bring from home, as this will have an impact on how they behave in class because students bring their family’s literacy habits, which serve as the foundation for their academic literacy habits, to school.
Effect of STEM Training with Educational Robotics Applications Designed for Classroom Teachers on the STEM Awareness and Attitudes of Teachers
Authors: Keskink Kilic Fatma
Published: May 2024

In today's conditions, the needs of the labor market are changing in parallel with technological developments and the need for individuals trained in STEM is increasing. For this reason, it is a priority to increase the skills and awareness of teachers who will guide individuals trained in the field of STEM. In this study, a STEM training with educational robotics applications was designed for classroom teachers. After the training, it was observed that teachers' STEM awareness and attitudes towards STEM education increased.
TRABALHOS DE CONCLUSÃO DE CURSO SOBRE ARQUIVOLOGIA E TECNOLOGIAS DA INFORMAÇÃO
Authors: Carvalho Diniz Bárbara , De Araújo Telmo Flávia , Araújo da Silva Alzira Karla , Ataíde Dias Guilherme
Published: May 2024

Maps the subthemes of the final works in the Archiveology course at a university in Paraíba between the years 2014 and 2022, which involve Archiveology and Information Technologies and highlights the relevance of the main subthemes identified for the development of Archiveology. This is a basic, exploratory, bibliographic and documentary research based on TCCs retrieved from the DSpace UEPB institutional repository. Gephi software was used to create social networks between students and faculty advisors and the networks of the subthemes that each faculty advisor dealt with. Of the 429 course completion works analyzed, 73 dealt with Archiving and Information Technologies, identifying 29 subthemes. Of the main topics identified, electronic/digital document management, Website Dissemination, Document Digitization, Digital Preservation and Information Architecture stand out. In relation to teachers/supervisors, 19 supervised work on this topic, among which four stood out in terms of the number of orientations. It is noteworthy that among the students, one also contributed as a teacher-advisor. It is concluded that the course completion works bring emerging, current and relevant themes that seek to insert Archivology in the digital context, covering everything from management, security, preservation, digitization to information architecture. Demonstrates the plurality and interests of Archivology in order to promote efficient management, organization, preservation, access and dissemination of archival documents in digital media and contribute to archival theory and practice
Non-resolving Pneumonia with Bronchorrhea
Authors: Inbamuthiah Palaniappan , Gupta Rajesh , Mustafa Mohamed Alhaj , Elbarkouky Ahmed Hanea , Hamed Imad Eldin Ahmed , Alian Osama
Published: May 2024

Introduction:

Non-resolving pneumonia after antibiotic treatment is encountered onquite a few occasions in clinical practice and is estimated to account for
approximately 15 percent of inpatient pulmonary consultations and 8 percent of bronchoscopies [1]. This is more frequently seen in intensive care/
ventilated patient-associated pneumonia compared to community-acquired pneumonia [2]. Treatment failures are mostly due to infectious causes,
and only 20% of the cases are due to noninfectious causes [3].

Case Presentation:

We present here an interesting case of non-resolving pneumonia. Our patient was a 58-year-old Middle Eastern descendant male who presented
with a cough with excessive mucoid sputum for 6 months. Chest radiology showed patchy consolidation in the right lower lobe, which gradually
progressed to multilobar consolidation over several months despite treatment with antibiotic antifungal and steroids. Extensive evaluation was done
with laboratory microbiological studies and bronchoscopy, but it was negative for tuberculosis and malignancy. So, the patient underwent an open
lung biopsy. Histopathology and immunohistochemical staining were suggestive of adenocarcinoma of the lung, predominant lepidic pattern, with
papillary, acinar patterns, and foci of invasion.

Conclusion:

This case is interesting because of its unique clinical presentation with bronchorrhea and progressive pneumonia. Also, it reveals the role of
surgical lung biopsy in navigating cases of difficult non-resolving pneumonia.
Nonresolving pneumonia with bronchorrhea
Unlocking the Role of Virus-like Particles (VLPs) for Cancer Treatment
Authors: S Venishaa , Kumar Prashant , Sen Aniruddha , Anand Amit , Kaushik Monika , Bhowmick Mithun , Bhowmick Pratibha , Ashique Sumel
Published: May 2024

Self-assembling structures that look similar to viruses in broad terms but do not contain
viral genetic material are known as virus-like particles. These particles, made up of viral structural
proteins, can have size, shape, and surface characteristics similar to natural viruses. The breakthrough
potential of virus-like particles, or VLPs, as a novel cancer therapy strategy is explored in this article.
Starting with describing the problems facing cancer therapy today, the emphasis moves to an in-depth
study of VLPs, including their different sizes, shapes, and structural characteristics. With insights into
drug encapsulation techniques and their implications for anticancer therapy, integrating VLPs into
drug delivery systems is important. The article highlights the multiple roles vector lambda polymorphs
(VLPs) play in improving diagnostic methods by exploring their dual functioning in medication
delivery and imaging. To address concerns about safety and biocompatibility, the paper critically
analyses the toxicity study of VLPs. It provides a comprehensive review, touching on ongoing clinical
trials and significant patents that impact the environment.
Assessment for Diabetic Neuropathy: Treatment and Neurobiological Perspective
Authors: Bhrigu Bhanupriya , Sharma Shikha , Kumar Nitin , Banik Bimal Krishna
Published: May 2024

Diabetic neuropathy, also known as diabetic peripheral sensorimotor neuropathy
(DPN), is a consequential complexity of diabetes, alongside diabetic nephropathy, diabetic cardiomyopathy,
and diabetic retinopathy. It is characterized by signs and symptoms of peripheral
nerve damage in diabetes patients after ruling out other causes. Approximately 20% of people
with diabetes are affected by this painful and severe condition. The development of diabetic neuropathy
is influenced by factors such as impaired blood flow to the peripheral nerves and metabolic
issues, including increased polyol pathway activation, myo-inositol loss, and nonenzymatic
glycation. The present review article provides a brief overview of the pathological
changes in diabetic neuropathy and the mechanisms and types of DPN. Various diagnostic tests
and biomarkers are available to assess nerve damage and its severity. Pharmacotherapy for neuropathic
pain in diabetic neuropathy is complex. This review will explore current treatment options
and potential future developments to improve the quality of life for patients suffering from
diabetic neuropathy.