bluuebunny/crossref_metadata_2025 huggingface dataset:
Estigma tipológico y torres de alta densidad edificatoria: una categoría analítica para abordar la precariedad residencial
Authors: Auban Borrell Monica , Campos Medina Luis
Published: February 2024

La presente investigación propone la noción de ‘estigma tipológico’ como una categoría analítica novedosa que permite resituar la discusión en torno a la estigmatización en el ámbito arquitectónico, más específicamente en el de la vivienda. Utilizando las herramientas propias de la teoría de la arquitectura, y en diálogo con otras disciplinas, se construye un marco teórico a partir del cual se puede identificar y caracterizar una forma particular de desprestigio socio-simbólico ligada a la tipología arquitectónica, y no a un territorio o un lugar concreto. Para ensayar la pertinencia de esta categoría, el artículo aborda el caso de las torres de alta densidad edificatoria: una tipología arquitectónica que, en las últimas décadas, se ha extendido por Santiago y otras ciudades de Chile. En líneas generales, la propuesta de esta categoría busca contribuir al debate en torno a las nuevas formas de habitar precario que están surgiendo en la ciudad contemporánea. Particularmente, se espera que la categoría de estigma tipológico pueda extrapolarse a otros casos para poder así singularizar el rol que la arquitectura, y específicamente la tipología, juegan en la producción de precariedad, entendida esta en una doble dimensión: material y socio-simbólica.
Analysing the Functionality of Twitter for Science Dissemination in EFL Teaching and Learning
Authors: Sancho-Ortiz Ana E.
Published: February 2024

Communication through social media is a phenomenon whose relevance has involved the consideration of online discourse in the language teaching context. This article explores the functionality of Twitter (now called “X”) for science dissemination within the teaching and learning of English as a foreign language. To do this, 100 tweets from the accounts @WWF and @Greenpeace were gathered and analysed from the perspective of digital discourse analysis and communicative language teaching. I argue that using these tweets encourages the development of key competencies, provides room for the practice of integrated skills, and enhances the application of 21st-century skills. Conclusively, science dissemination tweets may be considered adequate for teaching and learning English.
Instagram as a Pedagogical Tool in Pediatric Dentistry and Ortodontic Courses
Authors: Gutiérrez-Marín Natalia , Miranda-Garro Ingrid , López-Soto Andrea
Published: February 2024

Social networks have become an ideal space for the exchange of information and knowledge. The objetive of this study was to determine the usefulness of the implementation of Instagram as a didactic tool to promote and facilitate student learning in the theoretical and laboratory courses of Pediatric Dentistry and Orthodontics during 2022. Private Instagram accounts were created for each of the four courses. During 4 months relevant information was posted to review concepts and strengthen the teaching-learning process of the students. At the end of the courses, a survey was conducted containing the following variables: usefulness of the social network, amount of information provided, preferred place to view content (wall or stories) and whether students recommend the use of Instagram in other courses of the Department of Dentistry and Orthodontics. For the association of variables, the chi-square test was used, value of p<0.05, 95%Cl. The participation in the accounts was 222 individuals; the interaction of the students with the accounts was 87.5% with respect to the stories, 95% observed the stories completely. There was a statistically significant difference with respect to where the information was posted: stories was the preferred place for students. There were 167 students participating in the survey. All the students found very useful or useful the content of the application on the social network.100% of the respondents recommended keeping the implementation of social networks in the theoretical courses of the Department. Instagram is not only a social application but also a channel to make the teaching process more dynamic and attractive. Teachers can integrate this social platform to foster motivation and learning in students.
Reclassifying the Threat Categories of Two Rare Plant Species Endemic to Central Anatolia
Authors: Ayyıldız Gül , Yıldırım Merve , Keser Ali Murat , Yaprak Ahmet Emre , Tuğ Gül Nilhan
Published: February 2024

Aethionema turcica and Astragalus beypazaricus are rare endemic plant species restricted to marly-gypsaceous soils from Ankara, Turkey. In a study in 2000, Ae.turcica and A.beypazaricus were classified under the “Least Concern” and “Critically Endangered” threat categories, respectively. This study aimed to reassess the global conservation status of these species according to the IUCN Red List Categories and Criteria by using the recent findings based on their population sizes, distribution areas, and the main threats. Field research was conducted between 2016 and 2018. Additionally, physical-chemical soil tests were run, and the climatic data were utilized to draw bioclimatic conclusions. In Ankara, there are two populations of Ae.turcica, with 359 mature individuals covering 12 km2 AOO and 23.5 km2 EOO areas. A.beypazaricus has only one fragmented population with a total of 5700 mature individuals in Beypazarı, and both AOO and EOO were discovered to be 4 km2. Both species are on the verge of extinction due to habitat fragmentation and loss formed by intense anthropogenic activity. According to the findings, the IUCN threat categories for Ae.turcica and A.beypazaricus were suggested to be reclassified as CR based on the criteria B1ab(ii, iii) and B1ab(ii, iii)+2ab(ii, iii), respectively.
TENOFOVIR DISOPROXIL FUMARATE RELEASE FROM GLUTARALDEHYDE CROSS-LINKED CHITOSAN/Β-CYCLODEXTRIN HYDROGEL
Authors: Yaman Nuh , Erdogan Sevil , Taşdelen Betül
Published: February 2024

In this study, chitosan was produced from crayfish Astacus leptodactylus, and then it was used to synthesize chitosan-graft-β-cyclodextrin (CS-g-β-CD) hydrogel. The produced chitosan (CS) and the sythesized CS-g-β-CD hydrogel were characterized using a Fourier Transform Infrared Spectroscopy (FTIR), Proton Nuclear Magnetic Resonance Spectroscopy (1H-NMR), X-ray Diffraction (XRD), and Scanning Electron Microscopy (SEM). Tenofovir disoproxil fumarate (TDF) was used as a model to investigate the antiviral drug release properties of the CS-g-β-CD hydrogel. The synthesized hydrogel had an almost homogeneous pore structure and a high swelling capacity which increases depending on the amount of β-Cyclodextrin (β-CD). The drug-loaded CS-g-β-CD hydrogels was examined by XRD and 1H-NMR, and SEM analyses. Seventy-three percent of the TDF loaded on the synthesized hydrogels was released into phosphate-buffered saline (PBS) solution at 37 ºC. The drug release behavior of all prepared CS-g-β-CD hydrogels fitted the Korsmeyer-Peppas model. The addition of β-CD into the gel improved the swelling ability and TDF release of the CS-g-β-CD hydrogel system.
Broadband acoustical scattering in coastal environments: application to gelatinous organisms
Authors:   , Kahn Rachel E.
Published: February 2024

Broadband acoustical technology revolutionized our ability to explore, monitor, and operate in the ocean. While strides have been made in numerous physical and biological applications, there remain many standing scientific questions well suited to broadband approaches. Physics-based sound scattering models allow us to interpret and draw quantitative observations from measurements. Such models have been developed and used to assess the biomass of many types of marine organisms of ecological significance, but we lack rigorous scattering models for gelatinous organisms despite their possibly accounting for a significant proportion of global marine biomass. Additionally, acoustical techniques for characterizing microbubble populations have been established for decades, yet little is known about the spectral characteristics of dense microbubble clouds associated with estuarine tidal fronts. These bubbles facilitate air-sea gas exchange and could interfere with acoustical operations in coastal environments; however, the density and size distribution of the bubbles must be known to assess their impacts. This dissertation addresses these deficiencies in our application of broadband techniques. In Chapter 2, a sound scattering model for gelatinous organisms is developed based on the Distorted Wave Born Approximation. The 3-D model is applied to a species of scyphomedusa and verified withlaboratory measurements of broadband backscattering from live individuals. The model predicts backscattering levels and broad spectral behavior within <2 dB. In Chapter 3, a towable instrument is developed for measuring broadband excess attenuation from bubbles from which the size distribution is inferred. The instrument is tested under breaking waves in a laboratory wave tank and then used to characterize the bubble size distribution in the Connecticut River tidal ebb plume front. In Chapter 4, broadband backscattering measurements from the Connecticut River front are used to infer the associated bubble size distribution. Spatial trends in the bubble size distribution are examined within the context of frontal kinematics. An observed disparity between the bubble size distribution measured with excess attenuation and volume backscattering is hypothesized to arise from a sampling bias caused by bubbles concentrated in the upper water column.
Interactions between rivers and coastal margins in the Alaskan Arctic
Authors:   , Catipovic Luka
Published: February 2024

Arctic coastal margins serve as the interface between Arctic terrestrial and oceanic carbon reservoirs. Characterized by extreme seasonality and annual variability, Alaskan Arctic coastal margins only receive riverine input of terrestrial organic material from late spring through late summer. This work examines the delivery, transformation, and distribution of organic material within Stefansson Sound, an Alaskan river-fed estuary, at the beginning and end of this period. We found that during the spring freshet, the landfast icescape over Stefansson Sound is composed of five ice and water features that are optically unique in terms of their surface reflectance spectra. One of these features is representative of freshwater flooding on ice which was found to persist in Stefansson Sound until late July. This floodwater is characterized by decreased reflectance in the blue portion of the visible light spectrum which indicates strong absorption by organic material contained within the freshet waters. Alaskan Arctic rivers drain watersheds composed of mixed proportions of tundra and mountains. During the freshet, organic material leached from the thawed soil surface horizons in the tundra is more available for microbial consumption over short periods than organic material originating in the mountains. This labile material is estimated to be higher molecular weight and more aromatic according to absorbance and fluorescence optical proxies. Fluorescence analysis revealed that tundra water contained more humic material and less amino acids when compared to water originating in the Brooks Range. This result challenges traditional assumptions that high molecular weight material in Arctic fluvial networks is refractory. In late summer, distributions of organic material in the surface waters of Stefansson Sound are driven by meteorological conditions such as precipitation over the watersheds and wind direction and speed in the estuary. Increased riverine discharge results in higher concentrations of organic material in the surface waters while faster wind speeds create deeper, well-mixed riverine plumes. Strong linear relationships between salinity and organic material indicate conservative mixing of freshwater in Stefansson sound, while new relationships between optical properties of water and organic material provide avenues forward for monitoring future climate driven changes regarding the biogeochemistry of this delicate ecosystem.
FLOW BOILING HEAT TRANSFER COEFFICIENT USED FOR THE DESIGN OF THE EVAPORATOR OF A REFRIGERATION MACHINE USING CO2 AS WORKING FLUID
Authors: Karoune Nadim , Gomri Rabah
Published: February 2024

In this work, a comparative study of the heat transfer coefficient of carbon dioxide (CO2) in evaporation is presented. The main objective of the this work is to analyze and evaluate 1886 experimental points of the CO2 heat transfer coefficient with the help of two evaporation correlations (Fang et al., 2013, 2017); the correlation of Fang et al. (2017) gives the best results with a mean absolute deviation of 6.04%.
A significant range extension for the Border Ranges Leaf-tailed Gecko, Saltuarius swaini (Wells & Wellington, 1985) (Reptilia: Carphodactylidae)
Authors: Revell Ben , Couper Patrick , Wilson Steve , Amey Andrew , Hoskin Conrad
Published: February 2024

The recent discovery of Saltuarius swaini on Mt Glorious is unexpected due to the site’s proximity to a major city. It extends the species’ range 80 km north of the nearest known population. Genetic analyses suggests that this is a natural population that has been isolated from the other sequenced, south-east Queensland S. swaini populations for an extended period. The species has a limited occurrence on Mt Glorious where it is apparently absent from extensive tracts of suitable rainforest habitat. The rainforest herpetofauna of Mt Glorious is broadly similar to, but more impoverished than, that of the larger southern rainforest blocks of the Border and Main Ranges.
Tentacle autotomy: an additional mode of asexual reproduction in Ricordea yuma (Cnidaria, Anthozoa, Corallimorpharia)
Authors: Kaposi Katrina , Courtney Robert , Seymour Jamie
Published: February 2024

This paper presents a new mode of asexual reproduction of Ricordea yuma. Seventeen instances of tentacle autotomy (the deliberate shedding of tentacles) were observed in the tropical corallimorpharian, Ricordea yuma, over a four-month period. Of these, seven were deemed to have successfully completed transformation into polyps complete with mouth and tentacles. The majority of tentacles were able to attach to the bottom of the tissue culturing plates they were transplanted into for monitoring. Attachment appeared to have been made via intricate webs made of discharged cnidae, presumed to be spirocysts. Given that tentacle autotomy has been previously reported in both Scleractinia and Actiniaria, this strategy is likely to be used in other corallimorpharian species and may be an important strategy used to quickly clone themselves, monopolize habitats and outcompete other benthic inhabitants.
Daily activity rhythm of the African stingless bee Hypotrigona gribodoi (Hymenoptera: Meliponini) in the dry season, with notes on nest structure and colony composition
Authors: Asante Prince , Starr Christopher K.
Published: February 2024

We studied 18 colonies of Hypotrigona gribodoi (Magretti) nesting in the tubing of a disused horticultural sprinkler system during the late dry season in Ghana, West Africa.  Flight activity began around dawn (about 06:00), rising to a peak in the half-hour starting 07:30 and gradually declining to end around dusk (about 18:00).  Bees returning with pollen showed a more extended peak from 07:30 to 09:00.  Dissection of 18 nests showed a mean inner volume of 466.5 ml, while 17 active colonies had a mean number of 851 adults.  Colony size is positively correlated with nest size.  It is likewise positively correlated with the fraction of fully mature adult females. Several nests had branching entrance tubes with an angle of roughly 30⁰ between branches.  In each of three such nests studied, there was a marked division in the use of the two branches, such that one served mainly as an exit and the other as an entrance.
Juan Amos Comenio Vigencia de sus ideas
Authors: González Rivera Pedro Luis , Méndez Reyes Johan
Published: February 2024

Juan Amos Comenio (1592-1670), pedagogo, filósofo y teólogo checo, es considerado uno de los padres de la pedagogía moderna. Sus ideas sobre la educación universal, la escuela como institución social y la importancia de la experiencia práctica siguen siendo relevantes. Este libro ilustra este legado y evidencia la influencia de sus ideas en las diversas expresiones pedagógicas contemporáneas. Desde la Pedagogía tradicional hasta la Escuela Nueva, la obra de Comenio ha dejado una impronta significativa. La investigación examina la conexión entre el contexto histórico, sus escritos revolucionarios y su visión de una educación universal. Resalta la importancia de sus conceptos pedagógicos y didácticos, y analiza su propuesta de la pansofía desde las perspectivas filosóficas y teológicas. Explora críticamente las ideas de Comenio para encontrar sus aportes a la evolución de la educación y proponer alternativas a los desafíos educativos que enfrentamos en el siglo XXI. Además, es una invitación a develar la vigencia de las ideas de Comenio en la construcción de un futuro educativo más inclusivo, equitativo y accesible.
Por el Oriente ecuatoriano
Authors: Yañez Marcial , Almeida Guerrero Angélica , Juncosa Blasco Jose Enrique , Sarmiento Galo
Published: February 2024

Por lo menos, para vencer las montañas de los Andes llenas de peligros; para internarse en las enmarañadas selvas orientales, verdaderos cubiles de serpientes y de fieras, ¿no eran menester numerosos y escogidos compañeros, armas de precisión, confortantes selectos y abundantemunición de boca? Todo esto habría venido a llenar una importante necesidad, todo habría sido acogido como una bendición y a todo se habría extendido un agradecimiento franco y efusivo; pero la fortuna se manifestó ingrata, el hado esquivo. ¿Compañeros? Miguel Jaramillo y el que suscribe. ¿Armas? La de Jaramillo... una máquina fotográfica con algunos objetivos. ¿La mía? Una pluma despuntada. ¿Confortantes? El agua pura y cristalina del camino. ¿Comestibles? La yuca de la huerta indiana. Pero si las dificultades eran graves, la voluntad y el patriotismo lo suplían todo. Y gracias a esa voluntad enérgica que nos acompañó desde el principio, sin haber sufrido ni por un momento los accidentes o fluctuaciones del desmayo, se llevó a cabo el recorrido que ahora nos sorprende, y que justamente se ha hecho acreedor a los detalles de la pluma, a los coloridos del pincel. Marcial Yáñez sdb
Okul Öncesi Öğretmen Adaylarının Müzik Okuryazarlık Düzeylerinin İncelenmesi
Authors: DEMİRHAN Elif , GORGORETTİ Basak
Published: February 2024

Bu araştırmanın amacı Kuzey Kıbrıs Türk Cumhuriyeti’nde eğitim gören okulöncesi öğretmen adaylarının müzik okuryazarlığının ne düzeyde olduğunu saptama yoluyla, müzik okuryazarlık seviyelerinin hangi değişkenlere göre farklılık gösterdiğini belirlemektir. Çalışma okul öncesi lisans programında öğrenim görmekte olan 141 okulöncesi öğretmen adayını kapsamaktadır. Çalışmada nicel araştırma yöntemi kullanılmış, Afacan ve Şentürk’ ün (2016) yılında geliştirmiş oldukları ‘‘Müzik Okuryazarlığı Ölçeği” okulöncesi öğretmen adaylarına uygulanmıştır. Çalışmadan elde edilen bulgular doğrultusunda okulöncesi öğretmen adaylarının ‘‘Çocuk Şarkılarında Geçen Terimleri Tanıma ve Uygulama Becerisi”, ‘‘Şarkılarda Yöntem ve Teknik Bilgisi ve Kullanma Becerisi”, ‘‘Müziksel Algı ve Sesini Kullanma Becerisi” boyutlarına bakıldığında müzik okuryazarlık düzeyleri yüksek, ‘‘Eğitsel Müzik Dağarcığına Yönelik Bilgi” boyutunda orta, ‘‘Orff Yöntem Bilgisi ve Orff Çalgıları Uygulama Becerisi” boyutunda düşük olduğu tespit edilmiştir. Demografik özellik olan yaş değişkeni ile okulöncesi öğretmen adaylarının müzik okuryazarlık seviyeleri arasında anlamlı bir ilişki bulunamamıştır. Okulöncesi öğretmen adaylarının müzik okuryazarlık seviyeleri; cinsiyete göre incelendiğinde kadın katılımcıların erkeklere göre daha başarılı olduğu, üniversite eğitimlerinden önce herhangi bir müzik eğitimi alan öğrencilerin almayanlara oranla başarılı olduğu, lisans 4. sınıf öğrencilerinin 3. Sınıflara göre daha başarılı olduğu, mezun oldukları lise türüne bakıldığında ise Mesleki ve Teknik Anadolu Lisesi mezunu olan öğrencilerin diğer öğrencilere göre daha başarılı olduğu saptanmıştır. Okul öncesi öğretmenliği lisans programında yer alan erken çocuklukta müzik eğitimi dersinin okul öncesi öğretmen adaylarının müzik okuryazarlık yeterliklerini hedeflenen seviyede geliştirmediği ve bu dersten başarılı olmalarının müzik okuryazarı olduklarını göstermediği saptanmıştır. Bu bağlamda, lisans programında yer alan müzik eğitimi ile ilgili derslerin yapılandırılması ve benzer bilimsel çalışmaların arttırılması önem taşımaktadır.
A Study on Energy-Efficient Wireless Sensor Network based on Machine Learning Techniques
Authors: Bhanu Priyanka Valluri Et al.
Published: February 2024

Wireless sensor networks (WSNs) are advantageous when there is no existing infrastructure (such as in military applications, emergency relief efforts, etc.) and it is necessary to develop a network at a low cost. A predetermined routing protocol or intrusion detection system is not available to Wireless Sensor Networks because they are dynamic by nature and need separating the network's nodes to do this. Because nodes in the majority of WSN applications are mobile and rely on battery capacity and the availability of restricted resources, energy consumption is an important research area for carrying out a variety of activities in WSNs. Self-learning algorithms that function without scripting or human involvement can be effectively used to report this problem depending on the applications need. This study investigated different ML-based WSN systems and exploring the ML techniques for energy efficiency along with some open issues.
Parametric Analysis of EN 353 Alloy Using MQL Machining with Response Surface Method
Authors: A. Venkata Vishnu Et al.
Published: February 2024

Heat generated in any conventional machining between tool and work- piece can be minimized by the use of cutting fluids since the latter plays a vital role in terms of improving surface quality and its characteristics because of its properties like continuous lubrication, cooling and chips flushing etc. As extensive use of cutting fluids increase the machining costs, the problem can be overcome by employing a sustainable manufacturing technique known as Minimum Quantity Lubrication (MQL) which reduces the flow of cutting fluid. On the other hand researches are focusing on Nano based fluids which are gaining more importance. As nano based cutting fluids are colloidal mixture of nano sized particles and a base fluid, which enhance the heat transfer characteristics suitable for machining applications. The present paper focuses on the application of Hybrid Nano based cutting fluids for machining of alloy steel under different MQL flow conditions. Using response surface methodology (RSM), an optimum solution is obtained for the selected input parameters to the output response-surface roughness. A regression relation is developed between the input and output responses with the help of Response surface methodology (RSM).
Triple Even Star Decomposition of Complete Bipartite Graphs
Authors: E. Esakkiammal Et al.
Published: February 2024

Let G be a finite, connected, undirected graph without loops or multiple edges. A decomposition {G2, G4, . . . , G2k} of G is said to be an even star decomposition if each Gi  is a star and |E(Gi)| = i for all i = 2, 4, . . . , 2k.     A graph G is said to have Triple Even Star Decomposition (TESD) if G can be decomposed into 3k stars {3S2, 3S4, . . . , 3S2k}. In this paper, we characterize Triple Even Star Decomposition of complete bipartite graphs

Km,n when m = 2 and m = 3.
IoT-Enhanced Learning Environment Optimization and Student Outcome
Authors: Devender Et al.
Published: February 2024

This proposed system leverages Internet of Things (IoT) technology to enhance the learning environment in educational settings through two synergistic techniques. Firstly, a search-based optimization algorithm, driven by a genetic-based approach, is implemented for scheduling courses and faculty within each department to improve overall student performance and departmental percentages. Secondly, a classification task is performed to predict student outcomes, employing Neural Networks (NN) including ResNet 50, ResNet34, and a hybrid ResNet34 and ResNet50 model. The classification is based on eye-gaze monitoring during active student engagement in class, using input video samples as training and testing datasets. The system integrates optimization, activity monitoring, and classification to create a comprehensive approach aimed at improving the overall learning environment and student outcomes in educational institutions.
Exploring the Impact of Digital Marketing on Rural Consumer Behavior: A Comprehensive Study
Authors: Abhinav Et al.
Published: February 2024

As the global marketplace becomes increasingly digitalized, understanding the dynamics of consumer behavior in rural areas is crucial for marketers aiming to bridge the urban-rural digital divide. The objectives of the study include analyzing digital engagement patterns in the rural areas of the National Capital Region (NCR). This study investigates the effect of digital marketing on the behavior of rural consumers, shedding light on the evolving landscape of marketing strategies in non-urban settings. It further identifies the various platforms of digital marketing through which any product or services are being offered to the rural population. The paper examines the level and extent of change in rural consumer behavior owing to digital marketing.
Telemedicine Revolution: Bridging Gaps in Access to Healthcare
Authors: Mamta Kale Et al.
Published: February 2024

A rapidly developing area of contemporary healthcare called telemedicine uses digital technologies to provide distant medical treatments. This overview examines the complex field of telemedicine, covering its history, effects on patient outcomes, access to healthcare, problems, and potential future developments.

The rapid expansion of telemedicine, driven by technical improvements, is seen in its current vast repertory of services, which includes tele-diagnosis, tele-surgery, and tele-rehabilitation, from its early beginnings of allowing remote consultations. These developments—which have been made possible by the widespread use of mobile devices and internet connectivity—have transformed the way healthcare is delivered, bridging geographic divides and providing access to a wide range of medical specialties.

The potential of telemedicine to close gaps, particularly in rural and underserved regions, demonstrates the significant influence it has on healthcare access. Telemedicine addresses gaps in healthcare accessibility and strengthens marginalised communities by enabling timely access to medical services through virtual consultations and remote monitoring.

Additionally, telemedicine shows promise in improving patient outcomes by facilitating ongoing monitoring, tailored treatment, and early interventions. It is essential to the management of chronic illnesses, mental health services, and post-operative care, improving patient well-being and health results.

However, there are obstacles to telemedicine, including differences in technology, worries about data security, unclear regulations, and ethical issues. In order to provide fair access, protect patient privacy, and create uniform standards for its moral and efficient integration into healthcare systems, these issues must be resolved.
Precision Medicine: Tailoring Therapies for Individual Patient Needs
Authors: Gouri Tamhankar Et al.
Published: February 2024

Precision medicine is a novel paradigm in healthcare that refers to a revolutionary method of customising medicinal therapies for specific individuals. The present study delves into the development, obstacles, and many uses of precision medicine, emphasising its crucial function in transforming healthcare for patients. Precision medicine has come a long way since the groundbreaking success of the Human Genome Project, thanks to advances in genome sequencing technology and computer power. Important elements of this strategy include focused medicines, personalised diagnostics, and genetic profiling, with the goal of maximising therapeutic effectiveness and minimising side effects. Implementing precision medicine presents a number of challenges, from the necessity for a strong infrastructure for data interpretation and clinical integration to ethical issues relating to patient data protection.

The influence of precision medicine is seen across several fields, most notably oncology, where tailored treatments that are emerging as a result of genetic sequencing of tumours are revolutionising cancer treatment. Furthermore, pharmacogenomics clarifies how genetic differences affect drug response, opening the door to customised treatment regimens. Interestingly, precision medicine plays a part in uncommon diseases as well, providing specialised care based on genetic discoveries.

The assessment emphasises the necessity of teamwork in overcoming obstacles and realising precision medicine's full potential. It is still critical to address healthcare inequities, make sure regulatory frameworks keep up with changing technology, and develop a workforce that is skilled in genetic interpretation. A new age of healthcare marked by precise and personalised therapies that maximise patient outcomes is anticipated as precision medicine develops further.
Innovations in Minimally Invasive Gynecologic Surgery: Improving Outcomes and Recovery Gynecology
Authors: R. P.Patange Et al.
Published: February 2024

A paradigm change has occurred in minimally invasive gynecologic surgery (MIGS), which uses improved techniques and technology to improve patient care and recovery after surgery. This review paper provides a thorough analysis of current advancements in MIGS, emphasising its significant influence on surgical results and patient recovery. This research examines significant technical developments, procedural improvements, and their effects on how gynecologic surgery is evolving.

The accuracy and effectiveness of MIGS have been redefined by technological advancements such as augmented reality, robotic-assisted surgery, sophisticated imaging modalities, and specialty equipment. By reducing invasiveness and revolutionising the surgical technique, these advancements provide improved visibility, surgical precision, and manoeuvrability. The paper goes into detail on how important these developments are for streamlining complex procedures and enhancing patient outcomes.

The study also explores the development of improved recovery pathways in MIGS, highlighting early mobilisation, individualised care plans, multimodal pain management techniques, and psychological support. When these tactics are included into perioperative treatment, they greatly speed up patients' recuperation and enhance their general health.

When comparing MIGS advancements to open operations, a critical examination shows that patients have less blood loss, shorter hospital stays, fewer complications, better pain management, and a speedier return to regular activities. Promising findings are also shown in long-term patient outcomes and safety profiles after MIGS treatments.
Design of Multiband Microstrip Patch Antenna for Satellite Applications
Authors: Mandeep Singh Et al.
Published: February 2024

In the fields of satellite communication and aerospace, the multiband microstrip patch antenna has emerged as a game-changing technology that meets crucial needs of the contemporary day. The use of this antenna is essential as the need for faster data transfer rates and wider coverage keeps rising. In this paper, a microstrip patch antenna is designed for operating into Ku band for satellite communication and aerospace communication. The antenna is operating at 15.8 GHz and in the Ku band. The antenna is designed with slot configurations on the patch, forming an 'H' shape, and on the feed, resembling a 'U' shape. The integration of these slot structures enhances the antenna's gain, achieving 7.44 dB with useful bandwidth of 3.2 GHz. Furthermore, the antenna exhibits ultrawide band properties, extending its versatility and potential applications.
A Novel Approach for Image Localization Using SVM Classifier and PSO Algorithm for Vehicle Tracking
Authors: Chinju R Nair Et al.
Published: February 2024

In this paper, we propose a novel methodology for vehicular image localization, by incorporating the surveillance image object identification, using a local gradient model, and vehicle localization using the time of action. The aerial images of different traffic densities are obtained using the Histograms of Oriented Gradients (HOG) Descriptor. These features are acquired simply based on locations, angles, positions, and height of cameras set on the junction board. The localization of vehicular image is obtained based on the different times of action of the vehicles under consideration. Support Vector Machines (SVM) classifier, as well as Particle Swarm Optimization (PSO), is also proposed in this work. Different experimental analyses are also performed to calculate the efficiency of optimization methods in the new proposed system. Outcomes from experimentations reveal the effectiveness of the classification precision, recall, and F measure.
Modeling and Investigation of Highly Efficient Environment Friendly Perovskite Solar Cell with CuSbS2 as Hole Transport Layer
Authors: Janendra Pratap Et al.
Published: February 2024

The presence of lead and its associated toxicity represents a hindrance to the broad commercial production of lead halide perovskites and their utilization in solar photovoltaic devices. Although lead halide perovskites have found extensive application in solar cell technology, questions have arisen regarding the hazardous nature and durability of lead (Pb) in photovoltaic systems. This research seeks to address these concerns by exploring alternative materials, such as tin-based perovskites, to pave the way for cleaner and more sustainable energy solutions. The scientific community has shown increased interest in tin-based perovskites due to their superior efficiency and stability compared to lead-based perovskite solar cell. This research introduces a planar heterojunction solar cell utilizing tin-based perovskites that are free of lead. The simulation task was conducted using SCAPS-1d software. Device parameters for a lead-free PSC (perovskite solar cell) using significant framework FTO/WS2/CH3NH3SnI3(perovskite)/CuSbS2 included an examination of factors like perovskite layer thickness, the obsession of acceptors in the perovskite layer, defects density of perovskite layer, and the band gap of the perovskite layer. In this setup, WS2 served as the ETL material, CuSbS2 functioned as the HTL material, and the CH3NH3SnI3(Perovskite) was used as the absorber layer material. This configuration achieved an impressive PCE 32.5%, along with a Jsc34.1mAcm-², Voc1.02V and FF85.5%. These optimized results likelihood indicates the strong prospect for development of an eco-friendly and efficient model of PSC (perovskite solar cell).
Enhancing Data Security: A Comprehensive Study on the Efficacy of JSON Web Token (JWT) and HMAC SHA-256 Algorithm for Web Application Security
Authors: Manish Rana Et al.
Published: February 2024

In today's digital era, data security is a very important aspect in various applications and services. In order to protect the integrity, confidentiality and authentication of data, security technologies such as JSON Web Token (JWT) and HMAC SHA256 algorithm are widely used. JWT is an open standard (RFC 7519) that is used to represent information in the form of tokens that can be signed digitally. The research methodology used in this research is a descriptive research method. The descriptive method is a method that describes the purpose of the data collected and records every aspect of the situation being investigated to get a clear picture of what is needed. It was found that there were several data leaks when data security was not implemented in layers, including cases that had occurred such as loss of important data contained in the website and leaks of important data which caused identities to be spread widely. Conclusions from the use of JSON Web Token (JWT) and HMAC-SHA-256 algorithm for website security is that this combination provides a strong layer of protection against security threats that are common in the online environment.
Social Commerce Platform for Artists
Authors: Manish Rana Et al.
Published: February 2024

In the digital age, many painters and artists are using online platforms to share their work and engage with a global audience. However, despite the widespread use of social media and e-commerce, there has been a glaring need for a specialized solution designed to meet the specific requirements of artists who want to simultaneously create portfolios and sell their works. This research paper examines the conception and creation of "ArtFeast," a cutting-edge social commerce platform created specifically for artists looking for a centralized arena to showcase their abilities and make profits from their works.
Handling Large-Scale Document Collections using Information Retrieval in the Age of Big Data
Authors: Manish Rana Et al.
Published: February 2024

This paper's primary goal is to present an overview of big data and its analysis utilizing various methodologies, particularly evolutionary computing techniques, which improve information retrieval over standard search methods. is obtainable. Big data is defined as a huge, diverse collection of data that is difficult to handle with conventional computational methods and necessitates the use of more sophisticated statistical approaches in order to extract pertinent information from the data. Along with providing an overview of evolutionary computational approaches, this study also discusses some of the main models used for information retrieval.
Improvement Interpolation Method for Vessel Trajectory Prediction based on AIS Data
Authors: I Made Oka Widyantara Et al.
Published: February 2024

An acceptable shipping monitoring system should be able to provide early detection of vessel accidents. One of the keys to early detection is trajectory prediction. Even though the prediction results depend heavily on the historical data of the vessel trajectory, there are often missing values in the trajectory data due to disturbances in the Automatic Identification System (AIS) data transmission process. Therefore, this study proposes a preprocessing method that includes data cleaning, trajectory extraction, and a combination of Linear interpolation methods for straight-shaped trajectories and Cubic Spline interpolation for curved-shaped trajectories. Test results involving three different trajectories showed that the Gated Recurrent Units (GRU) method produces a smaller Root Mean Square Error (RMSE) value on linear interpolation. Visually, however, the GRU method with linear interpolation has a deficiency in the curved-shaped trajectories. Our studies involving the Bidirectional GRU (BiGRU), Long Short Term Memory (LSTM), and Bidirectional LSTM (BiLSTM) methods showed that the model built using the proposed interpolation method has a lower RMSE value. This study emphasizes that good predictions of vessel trajectories based on AIS data requires an additional process, namely the interpolation of vessel trajectories according to their shape.
Employees Digital Experience and Mental Health During Covid-19 in Higher Education in the UK: Understanding the Aftermath
Authors: Sarwar Khawaja Et al.
Published: February 2024

This theoretical study concentrated on comprehending the issues faced by UK employees in higher education becoming accustomed to and familiar with the digital world during the COVID-19 pandemic, along with its repercussions. Additionally, we aimed to explore the difficulties encountered throughout the pandemic and post-pandemic eras, emphasising on distant working, technology readiness and digital competency, and mental health of UK academic and non-academic personnel. The review's objectives are to identify knowledge gaps and provide viable tactics for improving academic technology preparedness. We came to the conclusion that organisations could monitor employee activity more readily and more effectively with the use of digital technology. Additionally, when implemented properly, collaboration and communication tools at workplace can dramatically boost productivity. Furthermore, understanding the barriers to digital inclusion will also make it easier to create equal educational experiences for everyone. The most efficient ways to integrate technology into education and other organisations can be determined by looking into how effectively these improvements’ function. By assessing the impact of digital online experiences on employee well-being, institutions would be guided in implementing ways to counteract burnout and anxiety.
New Algorithm to Enhance the Accuracy of Extracting Steganography Hidden Data
Authors: Nourah Alamri Et al.
Published: February 2024

Cybercriminals are employing various techniques to conceal evidence from investigators, allowing them to avoid tracking the traces of the attack or the traces of crimes. Steganography of information was techniques and tactics used to hide the traces of a hacking or electronic attack. Steganography is one of the most severe methods of obfuscating traces to make it harder for investigators to uncover reliable evidence that can be used in court. In this research study, the problem was that the steganography tools that the authors used in previous studies in their research were not accurate in extracting all the hidden data, and their efficiency was poor.  The objectives of this research are to evaluate the accuracy of extracting the hidden data by creating different scenarios using python script. Furthermore, develop a new algorithm to enhance the accuracy of extracting veiled data by using Tkinter framework. Finally, to evaluate the performance of the proposed new algorithm by comparing the proposed algorithm with different steganography tools. The proposed algorithm was able to increase the accuracy by 90% and extract the hidden data compared with different tools such as openstego stegspy and stegovirtas.
Challenges of Big Data Technology in Aviation Management
Authors: Nityash Solanki Et al.
Published: February 2024

Traditional data systems fall short of processing Big Data since high volume of information collected to create successful business opportunities requires high performance computer programs including AI tools or processors. Deep flakes fabricate recordings, videos and images in a manner that misrepresent the receiver of the information regarding an event that in reality never took place.  Processing Big Data safely for Aviation industry’s benefit requires dedicated legislative regimes to improve predictability in decision making at the market place. Placing reliance on Big Data technology surely helps aviation industry to overcome various troubles related to air operations with ease. This paper attempts to explore the benefits of Big Data technology for the aviation industry. Readers would probably find a point of reference to eradicate major obstacles of Big Data technology that is hampering growth and technical innovations for the aviation industry. Furthermore, readers would be exposed to discussions regarding lack of technical knowledge or skill to exploit Big Data technology directly affects airline’s infrastructure. The paper recommends suggestions to vanquish the identified issues for the aviation industry.
Smart Gas Meter and Information Transmission Procedure for an IoT Structure
Authors: S.Vivek Et. al
Published: February 2024

This research presents an IoT structure for smart gas metering, including a smart gas meter sensing and management structure, a gas network connectivity structure, and a gas company comprehensive gas administration structure. The smart gas meter sensing and management structure consists of a detection unit and a control unit, while the gas network connectivity structure comprises communication structures for detection information and control information. The gas company comprehensive gas administration structure integrates detection details management and control details management. The objective of this study is to design a smart gas meter and develop an effective information transmission procedure for the IoT structure. The proposed structure aims to enhance gas metering accuracy, optimize communication efficiency, and enable comprehensive gas administration.
Exploring the Cloud: Vulnerabilities and Cybersecurity Challenges
Authors: Nagarajan Krishnamurthy Et. al
Published: February 2024

Defending cloud platforms against cyberattacks is a critical aspect of modern cybersecurity. With the widespread adoption of cloud computing, organizations face new challenges in protecting their data and infrastructure from evolving threats. This article provides an overview of the strategies and techniques used to defend cloud platforms against cyberattacks. The article begins by highlighting the increasing reliance on cloud platforms and the potential risks associated with their use. It emphasizes the importance of robust security measures to protect sensitive data, applications, and resources stored in the cloud. The article then introduces the key techniques for defending cloud platforms, including strong access controls, encryption, secure configurations, regular patching, network segmentation, and logging and monitoring. The article further explores the significance of proactive monitoring and incident response planning in identifying and mitigating potential security incidents. It emphasizes the role of collaboration between organizations, government agencies, and cloud service providers in developing comprehensive defense strategies. The article also mentions the need for continuous training and skills development to stay ahead of emerging threats and effectively defend against cyberattacks. The article concludes by emphasizing the relevance of the topic in today's digital landscape, where cloud platforms play a pivotal role in driving innovation and enabling digital transformation. It underscores the necessity for organizations to adopt a multi-layered defense approach and stay updated with the latest security practices to protect their cloud environments from cyber threats.
IOT based Intelligent Home Safety Control Centre
Authors: R.Kennady Et. al
Published: February 2024

This research focuses on the development of an IOT (IoT) intelligent home safety control centre. System consists of a user side, a safety control centre, and a terminal node, with each component having specific functionalities to enhance the safety and safety of the intelligent home environment. Key modules include data encrypting/decrypting, safety communication, control centre of user access and verification of node identity, reliable platform for credibility verification, and log inspect and alarm. The system ensures data safety, authentication, credibility analysis, and system monitoring, thereby improving the safety performance and running efficiency of the intelligent home system.