bluuebunny/crossref_metadata_2025 huggingface dataset:
SIMULASI PENCAHAYAAN ALAMI DAN BUATAN PADA RUANG KELAS MENGGUNAKAN DIALUX EVO 12.0
Authors: Rahmayanti Rahmayanti , Pratiwi Niniek , Mile Fitrah Zahri Ramadhan
Published: October 2024

Lighting is one of the key factors that influences the quality of the indoor environment in designing buildings. Natural lighting is an optimal light source due to its advantages in energy efficiency, superior visual quality and positive impact on the health and well-being of occupants. This research is a classroom design plan using quantitative methods. Lighting simulation was carried out with DIALux Evo 12.0 software. Simulation using the DIALux application proved effective in planning and visualizing classroom lighting systems. This application allows creating virtual models of classrooms, determining light sources, and accurately predicting light distribution. The results obtained are that natural lighting at 08.00 and 16.00 is comfortable, but during the day it tends to experience glare and causes discomfort. Meanwhile, artificial lighting is still in accordance with the SNi standards required for classrooms, namely 250-300 lux. Pencahayaan adalah salah satu faktor kunci yang mempengaruhi kualitas lingkungan dalam  ruangan dalam mendesain bangunan. Pencahayaan alami merupakan sumber cahaya yang optimal karena keunggulannya dalam  efisiensi energi, kualitas visual yang superior, dan dampak positif terhadap kesehatan serta kesejahteraan  penghuni. Penelitian ini merupakan rencana perancangan ruang kelas dengan menggunakan metode kuantitatif. Simulasi pencahayaan dilakukan dengan perangkat lunak DIALux Evo 12.0. Simulasi menggunakan aplikasi DIALux terbukti efektif dalam merencanakan dan memvisualisasikan sistem pencahayaan ruang kelas. Aplikasi ini memungkinkan pembuatan model virtual ruang kelas, penentuan sumber cahaya, dan prediksi distribusi cahaya secara akurat. Hasil yang didapatkan yakni pencahayaan alami pada pukul 08.00 dan 16.00 nyaman, akan tetapi pada siang hari cenderung mengalami glare dan menyebabkan ketidaknyamanan. Sementara untuk pencahayaan buatan masihmasih sesuai dengan standar SNi yang dibutuhkan untuk ruang kelas yaitu 250-300 lux.
Systematic Review of Traditional Plant Motifs for National Identity Based on Digital Technology Landscape Platform
Authors: Mohd Khalid Intan Khasumarlina , Ismail Nor Atiah , Sedon Mohd Fauzi , Hanafi Hafizul Fahri , Mohd Noor Azlin Iryani , Samsudin Norsamsinar , Zakaria Thuraiya , Yusof Amri , Darkhani Faiza , Wan Mustafa Wan Azani , Mohammed Al-Abbas Mohammed Baker
Published: October 2024

The incorporation of Malaysian character into landscape design via traditional landscape characteristics reflecting the region's identity has been inhibited by designers' lack of initiative in incorporating natural resources. This article investigates the plant traits that create a symbiotic relationship between native plants, notably flowers, and the feeling of place they inspire. Furthermore, the study emphasizes (a) the importance of traditional plant motifs in shaping national identity and landscape awareness, (b) their use in landscape design to create a profound sense of place, and (c) the role of traditional plant motifs in promoting sustainable landscapes, biodiversity, and environmental conservation. A thorough assessment and analysis of current studies on traditional plant motifs and their contribution to landscape identity were done to attain this goal. Scopus, Econbiz, and Mendeley indexed the reviewed literature. This research gives insights into the evolution of plant motifs for identification, especially concerning the landscape and cultural heritage, by reviewing historical methods published from 2013 till 2023. The results highlight the necessity of using traditional plant themes in landscape design to develop a strong national identity and raise environmental awareness in the digital age.
Identification of WSN Compromised Nodes and Performance Degradation Prevention using Cooperative Cache
Authors: Sirajuddin Mohammad , Kumar B. Sateesh
Published: October 2024

Wireless Sensor Networks (WSNs) are critical in a variety of applications such as environmental monitoring, surveillance, and healthcare. WSNs, on the other hand, are vulnerable to assaults due to their dispersed and resource-constrained nature, resulting in compromised nodes and performance deterioration. Using network characteristics analysis and cooperative cache management with data and process affinity, this study provides a unique way to identifying compromised WSN nodes and mitigating performance deterioration. The initial portion of our suggested technique focuses on finding compromised nodes using in-depth network characteristics research. This suggested system can precisely locate probable hacked nodes by monitoring metrics such as traffic patterns, node activity, and communication abnormalities. Machine learning algorithms improve the identification process by learning and evolving adaptively to identify new assault patterns. Once affected nodes have been discovered, the second component of this suggested solution leverages cooperative cache management to prevent performance deterioration. Data and process affinity is presented, in which nearby nodes share caches to effectively store and retrieve data relevant to their processing activities. This affinity-based cache collaboration increases data availability, decreases communication costs, and improves overall network performance.
Novel Technique for Segmenting Data for Training an Ensemble Regressor
Authors: Bastawisy Ahmed O. , Fahmy Sherif F. , Abd Elazeem Mohamed H. , Fahmy Shereen F.
Published: October 2024

This work presents a novel method for training an ensemble regressor. The main idea of the work is to expose the meta-unit, as well as individual regressors, to all categories of data in the training set. This ensures that the ensemble is able to handle any input it receives because it has seen something like it before. However, in order to do this, we first need to categorize the training data into classes. We perform the categorization by using a random forest and then analysing its output to find similarities in the data. We then train the ensemble using a subset of each category of the data. This ensures that it has no surprises when it works on the actual data. We process the output of the random forest using several different techniques to determine the best way to cluster the data. Our results indicate that using the proposed technique can result in an R2 of 99.9% compared to an R2 of 98.7% for no categorization of the training data of the meta unit. Proving that the concept results in better performance.
Mechanism of Co3O4-TiO2 Nanocomposite Formation with Enhanced Photocatalytic Performance
Authors: Syahriza Ismail  , Khairil Azwa Khairul  , Zainovia Lockman  , Zhwan Dilshad Ibrahim Sktani
Published: October 2024

TiO2 nanotubes are tubular structures that have garnered significant attention in materials science and engineering due to their unique properties and diverse applications. In this study, highly ordered and well aligned TiO2 nanotubes were successfully synthesized through anodization of Ti foil in ethylene glycol (C2H6O2) containing ammonium fluoride (NH4F) and hydrogen peroxide (H2O2) at 60 V for 30 minutes. The effectiveness of TiO2 as a photocatalyst under solar light is limited by its wide band gap and high recombination rate of charge carriers. To address these limitations, TiO2 nanotubes were modified with cobalt oxide. The resulting Co3O4-TiO2 nanocomposite was synthesized using a wet impregnation technique, aiming to enhance the photocatalytic performance of TiO2 nanotubes across a broader range of the solar spectrum. The formation of Co3O4-TiO2 nanocomposite is by immersing the TiO2 nanotubes in the metal salt precursor solution of Co(NO3)2 for a certain soaking period. The soaking cycle was repeated a few times to ensure the deposition of cobalt oxide nanostructures on the TiO2 nanotube samples. This diffusion interstitial process via wet impregnation was time dependent, which altered the amount of cobalt loaded on the nanotube's surface. The addition of cobalt significantly improved the photodegradation activity of the nanotubes under visible light, outperforming bare TiO2 nanotubes. This enhancement is likely due to the cobalt acting as shallow traps, which effectively promote the separation of photogenerated charge carriers.
A Systematic Review of Synthesis and Application Base Nanomaterial using Pandanus Extract Plant
Authors: Nor Diyana Md Sin  , Mohamad Hafiz Mamat  , Mohamad Zhafran Hussin  , Norlina Md Zain  , Fazlinashatul Suhaidah  , Nur Amalina Muhamad  , Noor Asnida Asli  , Habibah Zulkefle  , Mohd Hanapiah Abdullah  , Eko Adhi Setiawan
Published: October 2024

This systematic review investigates the production and utilization of nanomaterials using an extract from the Pandanus amaryllifolius plant. The introduction outlines the imperative role of nanomaterials in addressing the challenges faced by conventional materials, emphasizing the need for sustainable and efficient alternatives. Note that the problem statement underscores the existing gaps in the literature regarding the comprehensive exploration of Pandanus-based nanomaterials toward applications. The study conducted an extensive search on Scopus and Web of Science (WoS) databases, employing specific keywords. The exhaustive search produced 17 articles, which were classified into three primary themes: (1) Nanomaterials synthesis and utilization using extracts from Pandanus amaryllifolius, (2) Characteristics and uses of nanomaterials biosynthesized through biological processes, and (3) Bioactivity and practical applications of materials derived from plants. The review thoroughly examines the findings related to these specific topics, offering valuable information on the various uses and characteristics of nanomaterials produced with the help of Pandanus amaryllifolius extract. This paper enhances the comprehension of the potential applications of Pandanus-based nanomaterials in different fields by providing a detailed analysis of the current research. It serves as a significant reference for practitioners as well as researchers intrigued by the combination of plant extracts and nanotechnology.
A Comprehensive Systematic Review: Sleep Strategy on Microcontroller for Power Management
Authors: Siti Maryam Zainol  , Shuhaizar Daud  , R. Badlishah Ahmad  , Md. Hafizul Imran
Published: October 2024

Since microcontrollers are used in so many modern electronics, power management has become an important part of making sure they work well and last a long time. This systematic study carefully looks at all the different sleep strategies that can be used on microcontrollers to manage power. By putting together, a lot of different pieces of literature, the study aims to give a full picture of the different approaches, problems, and progress made in using sleep strategies to make microcontroller-based systems use less power. The review uses a structured and organized method to find applicable studies, look at their methods, and pick out the most important results. It sorts sleep techniques into groups based on how they work, what they're used for, and how complicated they are. It is important to find similarities and differences between studies so that we can see what's new in microcontroller power management through sleep techniques. Some of the main topics that were looked at were how sleep strategies affect total power use, the trade-offs between saving power and reducing latency, and new trends in the field.
ANALISIS GAYA KEPEMIMPINAN KEPALA SEKOLAH DALAM MENINGKATKAN KINERJA GURU DI SMP N 1 GIRISUBO
Authors: Indriyaningsih Septeri Dyah , Relaksa Reli , Rahayu Fitri , Diah Ayu Nuraini Lutfita , Melinda Dina
Published: October 2024

Tujuan dari penelitian ini adalah untuk menganalisis gaya kepemimpinan kepala sekolah dalan meningkatkan kinerja Guru di SMP Negeri 1 Girisubo. Metode penelitian yang digunakan dalam penelitian ini adalah kualitatif dengan pendekatan secara deskriptif. Pengumpulan data dilakukan melalui wawancara, observasi, dan dokumentasi. Adapun proses wawancara dilakukan secara mendalam dengan beberapa informan yang terdiri dari kepala sekolah dan guru di SMP Negeri 1 Girisubo. Pemilihan informan menggunakan teknik purposive sampling dengan kriteria: 1) Kepala sekolah yang menjabat minimal 3 tahun, 2) Guru yang mengajar minimal 5 tahun di sekolah tersebut, dan 3) Bersedia menjadi informan. Wawancara dilakukan secara semi-terstruktur dengan panduan wawancara yang telah disusun sebelumnya. Selain itu, data juga dikumpulkan melalui observasi lapangan untuk mengamati gaya kepemimpinan kepala sekolah dan kinerja guru di lingkungan sekolah. Adapun hasil penelitian ini menunjukan bahwa gaya kepemimpinan kepala sekolah SMP Negeri 1 Girisubo adalah kepemimpinan demokratis. Kepala sekolah juga telah menerapkan beberapa strategi untuk meningkatkan kinerja guru. Gaya kepemimpinan kepala sekolah SMP N 1 Girisubo juga memiliki hubungan yang sangat erat dengan kinerja guru.
Possibilities of predicting the risk of developing cardiac conduction disorders after transcatheter aortic valve replacement
Authors: Chekanova V. S. , Imaev T. E. , Pevzner A. V. , Komlev A. E. , Zulkarnaev A. B.
Published: October 2024

Introduction. Cardiac conduction disturbances with the subsequent need for pacemaker implantation are a major clinical problem in the postoperative period of transcatheter aortic valve implantation (TAVI).

   The aim of the study. To develop multifactorial models for predicting the risk of developing cardiac conduction disturbances and pacemaker implantation after TAVI in the early postoperative period on a "training" sample of patients with an assessment of the diagnostic accuracy of the developed model on a "control" sample of patients.

   Material and methods. The study included 337 patients with severe or critical aortic stenosis who underwent TAVI from 2021 to 2022 in the laboratory of hybrid methods in the Department of cardiovascular surgery, Chazov National Medical Research Center, Ministry of Health of the Russian Federation

   Results. In constructing a model for predicting new (not registered before the operation) cardiac conduction disturbances after TAVI, the most significant predictors were: intraventricular conduction disturbances, the size of the aortic root, and the end-diastolic size of the left ventricle. The quality indicators of the model: AUC 0.711 (95 % CI: 0.644-0.778), sensitivity 77.7 % (95 % CI: 67.9-85.6), specificity 56.6 % (95 % CI: 47.8-65.1), PPV 55.3% (95 % CI: 46.5-67.9), NPV 78.5% (95 % CI: 69.1-84.0). Results of testing in the "control" sample: AUC 0.723 (95 % CI: 0.615-0.832). For the pacemaker implantation risk model predictors were: right bundle branch block, coronary heart disease and atrioventricular conduction disturbances. Model quality indicators: AUC 0.789 (95 % CI: 0.683-0.894), sensitivity 94.1 % (95% CI: 71.3-99.8), specificity 53.9 % (95 % CI: 47.0-60.7), PPV 13.8 % (95% CI: 10.8-87.0), NPV 99.2 % (95 % CI: 94.7-99.4). Results of verification on the control sample: AUC 0.795 (95 % CI 0.664-0.925).

   Discussion. The proposed models can be used in practice to assess the risk of developing cardiac conduction disorders and pacemaker implantation in patients who are scheduled to TAVI.
Béketeremtő magyar rendőrök
Authors: Uri László
Published: October 2024

Pointing to the transformation of the boundaries between policing and military operations, the author presents the story of Hungarian UN police peacekeeping missionaries and crisis management operation-veterans.
A felismerésre bemutatás elmélete és gyakorlata Amerikában
Authors: Kollár Balázs
Published: October 2024

The author provides an overview of the debate concerning eyewitness identification in the light of DNA based exonerations and police lineup practices in the US.
Securing patient data with DNA-Driven symmetric encryption: a novel approach to confidential QR code transmission in healthcare
Authors: Ouhab Abdelkrim , Benyahia Kadda
Published: October 2024

Preserving patient privacy is an obligation for any healthcare provider. It is an act of mutual trust between the patient and his medical staff.  QR code is useful for ensuring a fast and flexible data transfer between different mobile devices, however the easy extraction of the data included in these codes by simple scanning presents a serious privacy threat particularly when dealing with sensitive information such as mandatory reporting diseases. In this paper, authors propose a secure QR code to encode a patient's data and make it non-unintelligible for unauthorized persons. It consists of a DNA-based symmetric encryption using DNA sequences and Huffman coding in its encryption/decryption phases. The proposed approach involves generating a unique and secure QR code for each patient's information. Due to its small size, it offers a simple solution for transferring patient data, reducing internet capacity requirements and minimizing latency.
Perancangan Copywriting Dalam Membangun Citra Merek Barberfits Melalui Iklan Komersial “Fit Your Style”
Authors: Asyuro Barkah Hijratul , Ismail Oki Achmad , Fiqie Lavani Melano
Published: October 2024

Inovasi pada barbershop memberikan persaingan antar pelaku usahanya. Barberfits yang memiliki inovasi berupa teknologi dan fitur dalam pelayanannya, tidak cukup untuk menjadikannya sebagai barbershop yang memiliki citra merek yang baik. Perancangan copywriting dalam iklan komersial “Fit Your Style” dilakukan untuk membangun citra merek Barberfits. Copywriting dibuat dengan menggunakan rumus copywriting THE 4U yang dikaitkan dengan prinsip dalam membangun citra merek. Penggunaan rumus tersebut didasarkan karena dapat menampung informasi-informasi yang didapat dengan memperhatikan tahap-tahap untuk mendapatkan informasi dalam copywriting. Informasi tersebut didapat melalui wawancara dengan founder dan beberapa pihak Barberfits serta observasi. Hasil karya iklan komersial “Fit Your Style” telah diunggah pada akun Instagram @barberfits_hairstylist setelah melalui tahapan praproduksi, produksi, dan pascaproduksi. Copywriting dalam iklan tersebut memastikan bahwa rumus copywriting THE 4U dapat dikaitkan dengan prinsip dalam mebangun citra merek. Perancangan copywriting dalam membangun citra merek Barberfits melalui iklan komersial “Fit Your Style” dapat dilakukan dengan memperhatikan tahapan dan strategi copywriting.
Analisis Wacana Pada Berita "1 Dari 3 Siswa Beresiko Alami Bullying, Nadiem Keluarkan Permendikbud Baru" Di Detik.Com
Authors: Siti Nurhamidah  , Yogie Alontari
Published: October 2024

This research aims to understand the packaging of the text in the news article "1 in 3 Students at Risk of Experiencing Bullying, Nadiem Issues New Education Regulation" from detikco. Therefore, a problem formulation is necessary. The problem formulation is: How is the Discourse of the Text in the news article "1 in 3 Students at Risk of Experiencing Bullying, Nadiem Issues New Education Regulation" from detikcom? How do the dimensions of social cognition and social context manifest in the news article "1 in 3 Students at Risk of Experiencing Bullying, Nadiem Issues New Education Regulation" from detik.com? The discourse of the text in the news article "1 in 3 Students at Risk of Experiencing Bullying, Nadiem Issues New Education Regulation" can be analyzed through the use of words or language in the text, the sources utilized by the author, as well as the construction in terms of cognition and the social context of the author that also contributesTo the construction of the text. The theory used is the Social Reality Construction Theory. This type of research is an analytical study using a qualitative approach with a social constructivism paradigm. It employs Van Dijk's analytical framework. Van Dijk not only examines the discourse of the constructed text but also the author's mindset and analyzes the discourse that develops in society.The research findings indicate that it can be concluded that a text does not emerge from reality as it is, but rather that the reality of the events is constructed by the parties behind the discourse of the text.
Synthesis and preliminary antimicrobial evaluation of new 7-amino-4-methyl-coumarin thiazolidinone conjugates
Authors: Farhan Muthanna S. , Abd-Elhussain Tuka Hassan , Jasim Azhar Mahdi
Published: October 2024

As a part of our ongoing project on the design and synthesis of new 4-thiazolidinone derivatives with antimicrobial activity, four new 4-thiazolidinone derivatives carrying bromo, nitro, methyl, and chloro groups on the benzene ring were synthesized by starting with the 7-amino-4-methylcoumarin moiety, linking coumarin with various phenyl isothiocynate to form the thiourea group, and then cyclizing the derivatives, characterized by IR and 1HNMR, and assayed in vitro for their antimicrobial activity against Gram positive and Gram negative bacteria and fungi. Overall, 2-(4-methyl-2-oxo-2H-chromen-3-yl)-3-(4-nitrophenyl) thiazolidin-4-one to be the most powerful individuals in the series. Based on the observed data, it can be stated that the synthesized compounds demonstrate a variable range of antibacterial activity.
Vicars in the desert: Substrate specialisation and paleo-erosion underpin cryptic speciation in an Australian arid-zone lizard lineage (Diplodactylidae: Diplodactylus)
Authors: McDonald Peter J. , Fenner Aaron L. , Torkkola Janne , Oliver Paul M.
Published: October 2024

Abstract

Stable upland habitats in arid zone biomes are often characterised by locally endemic lineages. Explanations for this pattern include habitat or substrate specialisation (ecological specialisation) or intensifying aridity driving retreat into climatically buffered habitats (climatic refugia). Here we present an analysis of these alternative models using genetic, morphological and climate data for Diplodactylus galeatus, a gecko from central Australia that occurs in a series of isolated populations associated with dissected tablelands and mountain ranges. Analyses of mtDNA and SNP data support four distinct lineages, and dating analyses suggest divergence through the Pliocene. Morphological data show slight differences across lineages. Investigation of climate niche shows that two lineages are restricted to areas more arid than the intervening uninhabited region. These data suggest that specialisation to rocky substrates, potentially with subsequent paleo-erosion of dissected tablelands after a Pliocene wet pulse, was the key driver of divergence in this clade. Based on their deep genetic divergence, and differences in morphology and pattern, we recognise two isolated populations as new species.
Discriminación de unidades geológicas en el margen sur de la montaña Alborz en Irán utilizando imágenes de satélite ASTER Komeil Rokni
Authors: Rokni Komeil , Akbari Davood
Published: October 2024

En este estudio, la efectividad de varias técnicas de procesamiento de imágenes, incluida la band ratio (BR), decorrelation stretch (DS), principal components analysis (PCA), minimum noise fraction (MNF), así como la composición de color falso ASTER RGB: 468, fue evaluada para la extracción de unidades geológicas a partir de imágenes de satélite ASTER en el margen sur de los montes Alborz en Irán. Además, se propuso un método basado en componentes principales de proporciones de bandas (BRs-PCs) para la discriminación de unidades geológicas a partir de imágenes ASTER. En este sentido, se utilizó un escenario de datos ASTER Level1T VNIR+SWIR del año 2004 y como referencia un mapa geológico escala 1:100000 del área de estudio. Los resultados indicaron la idoneidad de las técnicas convencionales de procesamiento de imágenes para la discriminación de unidades geológicas, especialmente la técnica PCA, que destacó claramente la piedra caliza, el basalto, la arenisca, la toba, el conglomerado y la dolomita de la imagen ASTER. El estudio también demostró la eficacia del método BRs-PCs para el mapeo geológico. Este enfoque consideró las ventajas de las técnicas PCA y BR, por lo tanto, proporcionó un resultado superior en comparación con cualquiera de estas técnicas solas, y también un mejor resultado en comparación con otras técnicas utilizadas en este estudio. Por lo tanto, puede ser útil para el mapeo geológico a lo largo de toda la montaña Alborz con condiciones litológicas y geomorfológicas similares.
Estudio bibliométrico de la producción científica sobre resiliencia territorial
Authors: Chávez Cortés Marta Magdalena , Binnqüist Cervantes Gilberto Sven
Published: October 2024

La resiliencia territorial es un concepto emergente y flexible, orientado al análisis de los motores de cambio que detonan alteraciones en los elementos estructurales y funcionales de un territorio, y que propician trayectorias de desarrollo como respuestas adaptativas de los agentes sociales. El objetivo de esta investigación es analizar la evolución de la investigación científica y la productividad alrededor de la resiliencia territorial. Se emplea un análisis bibliométrico, examinando 79 documentos extraídos de la base de datos Web of Science. Los resultados sugieren que este campo de investigación está en proceso de consolidación. Que Italia es el país con la mayor producción, mientras que es incipiente el papel del continente americano. El tema se contextualiza dentro de la sostenibilidad, ya sea como requisito para que se cumpla, o como una vía para lograr un territorio sustentable. El tema también es reconocido en el ámbito de la gestión del riesgo ante los efectos adversos de crisis económicas y catástrofes naturales. Resalta la importancia de incorporar la resiliencia territorial como una perspectiva para transitar hacia la sostenibilidad y el bienestar socioambiental, sobre todo en países en vías de desarrollo.
Enhanced Machine Learning Based Network Traffic Detection Model for IoT Network
Authors: Alzyoud Mazen , Al-shanableh Najah , Nashnush Eman , Shboul Rabah , Alazaidah Raed , Samara Ghassan , Alhusban Safaa
Published: October 2024

Ensuring the security of networks is a significant hurdle in the rollout of the Internet of Things (IoT). A widely used protocol in the IoT ecosystem is message queuing telemetry transport (MQTT), which is based on the published-subscribe model. IoT manufacturers are expected to expand their usage of the MQTT protocol, which is expected to increase the number of cyber security threats against the protocol. IoT settings are crucial to overcoming scalability and computing resource issues and minimizing the characteristics needed for categorization. Machine learning (ML) is extensively used in traffic categorization and intrusion detection. This study proposes a ML-based network traffic detection model (MLNTDM) to enhance IoT application layer attack detection. The proposed architecture for the MQTT protocol is evaluated based on its effectiveness in detecting malicious attacks and how these affect various MQTT brokers. This study focuses on low-power-consuming ML algorithms for detecting IoT botnet offenses and identifying typical attacks and their responses. With this framework, each network flow provides information that can help identify the source of generated traffic and network assaults. Results from our approach, as shown in the experiment, prove more accuracy.
A Comprehensive Approach to Enhancing Doctor-Patient Interaction: Bridging the Gap for Better Healthcare
Authors: Parmar Kashish , Verma Indresh Kumar
Published: October 2024

Effective doctor-patient communication is a critical clinical function, and the resulting relationship is the heart and soul of medicine, as well as a critical component in healthcare delivery. Inefficient communication between doctors and patients is the leading cause of patient dissatisfaction, as it directly affects the health outcomes of the patient. The current study aimed to develop a holistic solution to bridge the doctor-patient communication gaps in the cardiology department and facilitate effective communication, ensuring better health outcomes. Desk study and empathy interviews highlighted the doctor-patient communication gaps and their effects on the overall health outcome and patient satisfaction. Various concepts were explored using the insights found using journey maps, causal loops, and affinity walls. User approval was determined by soliciting user feedback, and the System Usability Scale (SUS) was used to evaluate usability. A holistic solution utilizing educational material for quick understanding and recall of all issues reorganized the file, which provides structure to the interaction during the consultation and facilitates two-way interaction and appbased tracking of symptoms for informed decision-making, was developed. The solution was very effective in educating and preparing the patient, involving the patient for higher patient engagement, and assuring the patient for increasing patient adherence. It was found that the patients were able to understand and address their concerns effectively, and doctors were able to communicate more effectively. (SUS score: 78.12 and 75.62 for doctors and patients, respectively). As the solution is easy to adapt in the current system, it would help facilitate effective communication between doctor and patient.
Design and Comparison of Low-Cost Urine Level Detection Systems for Critical Patients
Authors: Hijazi Hanan , Allouch Samar , Al Ali Randa , Dib Azza
Published: October 2024

With the rise in size of the elderly population suffering from urinary incontinence and the number of bedridden patients, individuals providing assistance to the aforementioned groups suffer from the “caregiving burden” due to the time-demanding nature of home health care. The current study proposes a low-cost Internet of Things (IoT)-based urine monitoring system for detecting a critical urine level in a urine collection container and sending an SMS text message to alert the caregiver. Remotely informing the caregiver of the patient’s urine level provides freedom of mobility. The proposed system consists of an Arduino microcontroller connected to a sensor measuring system and a SIM800L module with a SIM card. Three sensor measuring systems are suggested: Water Level Sensor, Ultrasonic Distance Sensor, and Weighing Scale Sensor. To compare the performance of the systems, 110 detection recordings from each system are used to construct a confusion matrix. The accuracy, precision, specificity, recall, and F-measure are computed for each system. Numerical and graphical analysis of the measurements show that the Water Level Sensor measurement system (accuracy: 0.96, precision: 0.98, specificity: 0.98, recall: 0.95, F-measure: 0.96) is the most reliable system, followed by the Weighing Scale Sensor (accuracy: 0.93, precision: 1, specificity: 0.936, recall: 0.88, F-measure: 0.93).
Exploring Challenges and Opportunities of the Social Justice Philosophy in Education in South African Private Schools
Authors: Musundire Austin
Published: October 2024

This systematic literature review analysed peer-reviewed articles that explored challenges and opportunities of differentiated instruction, social justice, and linguistic diversity in South African private schools. The results found out that curriculum policies promote bilingualism and multilingualism, with support for teacher training and inclusive methods. However, resource limitations and resistance to change hinder implementation. Despite these challenges, opportunities exist with differentiated instruction, catering to diverse learners, especially multilingual students. The study recommends revision of language policies for social justice, on-going professional development in multilingual education, fostering parental collaboration and continuous monitoring and evaluation. Early English language instruction, alongside indigenous language preservation, is crucial. Balanced programs that promote linguistic diversity can empower students. By overcoming challenges and leveraging opportunities, South Africa can create equitable and inclusive classrooms
Indiscipline and Crime in South African Secondary Schools
Authors: Musundire Austin
Published: October 2024

The aim of this study was to determine the place of the African Ubuntu philosophy in reducing indiscipline and crime in South African secondary schools from a social justice theoretical perspective. The intention from the findings was to contribute towards effective theoretical and practical strategies effective enough to address challenges associated with high rates of indiscipline and crime that disrupt proper learning in schools. The analysis of 38 published articles revealed that the African Ubuntu philosophy was not a mandatory subject in the school curriculum. It is an interdisciplinary concept integrated into other various subjects like life orientation, social studies, language and literature, arts and culture, and religious studies; hence, implementation is weakened. Emerging themes such as promoting community building, ethics, African identity, social justice, restorative justice, equity, equality, human rights, empowerment, and non-discrimination were found to play a critical role in curbing acts of indiscipline and crime.
Analyzing Sleep and Stress Patterns in College Students
Authors: Dirisala Meghana , Shaju Riya Eliza , Amalanathan Geetha Mary
Published: October 2024

The academic journey of a student is an important journey where each student is faced with a wide range of challenges, experiences, and transformations. Amidst all of this, students fall into a toxic cycle of sleep deprivation and increased stress levels. This chapter investigates the intricate relationship between stress and sleep patterns among college students, delving into the challenges posed by academic workload and the transition to a new environment. The authors explore the complex relationship between academic pressures, societal expectations, and the student's awareness of the long-term effects of sleep deprivation. Leveraging factors from the Pittsburgh sleep quality index (PSQI) and inquiring about stress-inducing scenarios, the authors curated a questionnaire that aims to uncover patterns of hidden mental illnesses. The methodology employs a data-centric pipeline, including encoding, normalization, and a derived index, to categorize individuals based on observed stress and sleep patterns, identifying potential mental health risks.
Promoting Healthy Eating Behavior Through Social Marketing
Authors: Todua Nugzar , Jashi Charita , Urotadze Ekaterine
Published: October 2024

The article analyzes the current state of healthy eating of the population in the world and Georgia and identifies the main problems related to it. The role of social marketing in providing consumers with healthy eating is shown. Social marketing campaigns about healthy eating, healthy eating knowledge, health concern, the perceived value of healthy eating, and behavioral intention about healthy eating are considered the main consumer behavior variables. Based on the review of relevant literary materials, research hypotheses are formulated, and a conceptual research model is developed. In order to study the impact of social marketing on healthy eating, marketing research was conducted based on a consumer survey. An analysis of variance was used to determine the relationship between the selected variables. Statistically significant values were obtained, which confirm the relationship between the named variables. The results of the research are useful for government and business organizations that plan their activities to promote a healthy lifestyle for consumers.
Social Marketing Communication
Authors: Abdushelishvili Lela
Published: October 2024

Marketing communications refers to the use of different marketing channels and tools in combination. Marketing communication channels focus on how businesses communicate a message to its desired market, or the market in general. It is also in charge of the internal communications of the organization. Social marketing communication involves marketing activities that involve using social media platforms to reach and engage with customers. This can include creating and sharing content, engaging with followers, and running social media advertising campaigns. Therefore, it is clear that language and cultural elements play a vital role. To be more specific, language is a communication tool used by everyone in their daily life as a means to convey information and arguments to others. In this case, the language cannot be separated from culture because language represent its nation and has close relation to the attitude or behavior of groups of speakers of the languages.
Enhancing Engagement With Museums Through Phygital Marketing Strategies
Authors: Zbuchea Alexandra , Bira Monica , Balan Emanuela Ana-Maria
Published: October 2024

The role of museums has significantly evolved from being guardians and researchers of the heritage to becoming active social and community agents, a transformation influenced by digital technologies and participatory approaches. This chapter investigates the application of Phygital strategies in museums, which integrate physical exhibits with digital platforms, in enhancing visitor engagement and education. It explores the current landscape of Phygital approaches in museum marketing and their impact on visitor experiences. The study highlights how museums leverage immersive technologies to create innovative and memorable on-site and online experiences. Despite the increasing adoption of digital strategies during the COVID-19 pandemic, the literature on Phygital practices remains secondary in museum studies, often found within technical publications or broader heritage management discussions.
From Screens to Streets
Authors: Gabelaia Ioseb
Published: October 2024

Social marketing is transforming due to a paradigm shift toward digital platforms. By analyzing case studies and using mixed methods, the author explored the offline impact of online influencer collaborations in social marketing. Moreover, the research analyzes the transition From Screens to Streets and how digital endorsements translate into real-world customer behavioral changes. The author, based on a systematic literature review, developed five hypotheses. With massive and dynamic audiences, online influencers have become vital in advertising anything, varying from health to sustainability. Key research findings indicated that successful marketing campaigns require the influencers' authenticity, alignment with the cause, and the strategic integration of online and offline campaigns. Moreover, these elements are necessary to transform digital engagement into tangible social outcomes. Lastly, this research contributes to understanding the synergy between online influence and offline behavior, suggesting that marketing practitioners must consider and balance influencer cooperation.
Phygitalization of Palliative Care and Its Social Marketing
Authors: Djakeli Kakhaber
Published: October 2024

The chapter analyzes the need for Social Marketing to improve Palliative Care. The chapter assumes the history of Palliative Care development as a notable Social Movement started by philanthropy and leaders of their time. Many countries worldwide still need to create hospices or departments for palliative Care. The chapter hypothesizes that using social marketing and growing awareness of the necessity of Quality Palliative Care among people will help this process effectively. Experts in Health Economics did the research. The sample was collected using a snowball method. Additionally, a literature review was conducted. The experts' answers and literature review gave researchers arguments about the link between creating awareness about the need for palliative Care and its actual status. The Phygitalization, to widen the access to Palliative Care is discussed.
Analysis of Technological Advancements and Their Impact on Tourist Decision-Making
Authors: Sharma Ridhima
Published: October 2024

The study's overarching goal is to show how technological development significantly affects the decision-making process of tourists. In order to better understand how cognitive technologies, namely AI applications, factor into humans' decision-making processes, this study reviews relevant literature and stresses the need for new theoretical frameworks. The theoretical frameworks and approaches used were examined, and a future view impacted by substantial technological advancement was provided, through a thorough analysis and integration of diverse literature. As digital technology and cyber-physical systems become intrinsic parts of a tourist's identity, technological development considerably impacts the decision-making processes of visitors. Considering the future of cyber-physical-human systems, the article lays the groundwork for a new theoretical framework in the area of tourist decision-making. As new forms of AI improve human intelligence, this paper shows how tourism decision-making theory works and why a paradigm shift is necessary.
The Smart Traveler
Authors: Sharma Swati , Sood Devika , Kumar Narendra
Published: October 2024

Objectives of the Study: The goal of this chapter is to find out the influence of AI on traveler conduct (Gopal et.al 2023), assess how tourism centered AI technology swap tourist aim, goals and ideas (Hoyer et al. 2020). Also to The research aims to recognize the influence of AI on tailored travel, ecological consciousness, and each aspect of the trip itself. Study Method/Design: The current study deploys secondary data and qualitative technique involve content analysis and in-depth interviews. Findings: From the study, it is, highlighted that AI impacts tourist conduct at various period of trip. Moreover, travel gathers abundance of memories, experiences collected by tourist, exploration of new places (Gretzel et al., 2015) On top of that inclusion of AI gives the benefit of smooth AI improves travel experience by making better ways, using less energy, and minimizing waste (Neidhardt et al ., 2015).
From Screens to Streets
Authors: Ahmad Munir , Sharma Shikha
Published: October 2024

Geo-tech transforms travel with real-time traffic, weather, and attraction updates. Travelers can personalize plans for safer, more convenient journeys. Volunteered Geographic Information (VGI) empowers them further with user-generated reviews, geotagged content, check-ins, location sharing, social media posts, hashtags, vlogs, collaborative travel itineraries, community forums, and crowdsourced maps. These advancements make travel more accessible, inclusive, and enjoyable for everyone. However, VGI faces hurdles: data accuracy, information overload, privacy concerns, biased reviews, and tech dependence. To address these challenges, improved verification processes, advanced filtering options, offline features, user education on privacy, and AI-driven fraud detection are necessary to enhance the reliability and trustworthiness of VGI in travel planning.
Identity-Driven Tourism Marketing for Millennials
Authors: Sood Devika , Sharma Swati , Tiwari Akshita
Published: October 2024

This chapter explores identity-driven tourism marketing, focusing on aligning destination branding with the values and self-expression of millennial travelers to enhance engagement and satisfaction. Millennials prioritize experiences, personal values, and digital connectivity, seeking destinations that resonate with their identities. The chapter integrates self-congruity theory, destination branding, and millennial consumer behavior to analyze travel motivations and preferences. Key concepts like authenticity, sustainability, social responsibility, and digital engagement are highlighted as crucial in creating meaningful connections. The role of social media in facilitating self-expression and community building among millennials is also discussed. Case studies illustrate successful marketing campaigns, demonstrating that aligning destination branding with millennial values is a strategic approach to engaging this influential demographic in the digital age.
Analysing the Relationship Between Organisational Commitment and Organisational Citizenship Behaviour in a Professional Institution
Authors: Singh Sandhya , Irfan Mohammad , Saxena Ankita , Dias Rui
Published: October 2024

The present study aimed to explore the linkages between Allen and Meyer's (1991) three-component model of organizational commitment and organizational citizenship behaviour as defined by Organ (1988). This paper was to see how work happiness affects Professional institutions employees ‘working conditions. Employees working at Professional institutions in several cities across Mathura, and Gwalior were surveyed. The purpose of this research is to determine and assess the degree to which individual attributes and organisational citizenship behaviour influence OC and employee performance. The investigation employed saturated samples for its samples. The results showed that although organisational citizenship or OC are unaffected by job promotion, individual characteristics have a favourable influence on worker performance and OC. Employees in Professional institutions have a big influence on organizational commitment.
Exploring Leadership and Community Development and the Implications for Service Delivery and Development
Authors: Nzimakwe Thokozani Ian , Zuma Muziwokuthula
Published: October 2024

Community leadership refers to the ability of individuals to take charge and bring about positive change in their communities. It involves taking an active role in initiating and executing projects or programmes that will enhance the community's social, cultural, or economic well-being. Democratic and community leadership assist communities, organisations and community leaders in establishing, maintaining and improving programmes designed to enhance service delivery, responsibility, productivity and sustainability. The best way to get others involved in community leadership roles is to ask them and provide a structure where those leaders can contribute, learn, and grow. The chapter discusses the perspectives of leadership development. Ultimately, the study aims to contribute to the knowledge base on the role of leadership in community development and to provide practical recommendations for policymakers, leaders, and practitioners in the field. Leadership development keeps new people coming to the table to support the progress of the community.
The Seminal Role of Internet of Things in the Digital Transformation of Supply Chain Management
Authors: Anurag A. S. , Johnpaul M.
Published: October 2024

The chapter thoroughly examines the transformative influence of the Internet of Things (IoT) on Supply Chain Management (SCM) by assessing its pivotal role across various sectors and its integration with key technologies. It outlines IoT's communication protocols and categorizes its applications into four types based on the application domain. It showcases IoT's contributions to smart agriculture, disaster management, autonomous vehicles, healthcare, smart homes, industrial automation, and logistics. The chapter emphasizes IoT's advancements in SCM, including transparency, inventory management, risk mitigation, and demand forecasting, facilitated by technologies such as RFID, cloud computing, and blockchain. It also addresses data privacy, security, and adoption barriers, advocating for training, cost-effectiveness, and awareness initiatives. Overall, it underscores the necessity of embracing IoT for SCM optimization while addressing its challenges to ensure a prosperous future.