bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Branding dan Peningkatan Pengelolaan Keuangan Pada UMKM Olahan Ikan Merk “Dizan Crispy”
Authors: Febriansah Rizky Eka , Maryanti Eni , Prasojo Bayu Hari
Published: June 2024

Kecanggihan dan perkembangan pesat teknologi komputer dan jaringan saat ini membuat banyak UMKM di Indonesia, khususnya di provinsi Jawa Timur, kabupaten Sidoarjo, harus berbenah dan harus terbiasa dengan konsep pemasaran digital dan pembukuan keuangan berbasis aplikasi untuk tetap bisa bersaing, bertahan, dan merambah ke pasar yang lebih luas. salah satunya adalah UKM Dizan Crispy dengan dengan produk utama olahan ikan kering. UKM Dizan Crispy merupakan UKM berbasis rumah tangga yang berada di desa Kalitengah, kecamatan Tanggulangin, kabupaten Sidoarjo, suatu desa yang terletak di sebelah selatan kabupaten Sidoarjo dengan jarak sekitar 5 km dari kampus Universitas Muhammadiyah Sidoarjo (UMSIDA). Permasalahan mitra yang ditemukan adalah 1) mitra belum mempunyai digital branding dalam hal promosi, 2) distribusi pemasaran masih bersifat sempit karena selama ini hanya dititipkan ke outlet-outlet offline, serta (3) belum menggunakan pencatatan keuangan terstandarisasi dalam untuk digunakan dalam perencanaan operasionialisasi dan pengembangan UMKM di masa depan. Oleh karena itu tim pengabdian memberikan solusi : 1) memberikan pelatihan dan pendampingan digital branding dalam hal promosi, 2) memberikan pelatihan dan pendampingan pemasaran yang efektif dan modern melalui online yaitu Youtube, Instagram, Facebook dan e-commerce, dan 3) memberikan pelatihan dan pendampingan pencatatan dan pengelolaan laporan kuangan. Metode yang akan digunakan untuk mendukung program tersebut adalah mitra UKM akan diberikan pelatihan dan pendampingan dalam hal teknologi promosi dan teknologi pemasaran berbasis digital, serta  pelatihan dan pendampingan pencatatan dan pelaporan keuangan berbasis aplikasi agar dengan UKM ini dapat bertahan dan berkembang dengan lebih baik di masa depan.
Neuroeducación como Proceso de Motivación
Authors: Nacimba Rivera Nancy Orlheni , Tulcanazo Espinel Santiago Marcelo
Published: June 2024

Por muchos años los docentes han buscado mejorar los procesos educativos, los que eran difíciles de descifrar sin embargo con la ayuda de la neuroeducación, el que fusiona el área biológica con la pedagogía dos ciencias que intentan mejorar los procesos educativos, cuyo objetivo es analizar cómo la neuroeducación favorece los procesos de enseñanza – aprendizaje en el contexto educativo. Esta investigación se llevó a cabo en la ciudad de Quito. En este trabajo investigativo se aplicó la metodología inductiva, bibliográfica, y cualitativa, mediante la observación y aplicación de encuestas a docente expertos en el tema. En conclusión, se verifica que en la neuroeducación y los procesos educativos intervienen momentos científicos, biológicos y pedagógicos apegados al estudio de las funciones cerebrales, que explican cómo se aprende, como el hipocampo se activa con cada actividad neuronal el cual produce un alto nivel motivacional.
Prospects for the houseboats and floating houses operation in Primorsky region
Authors: Kitaev Maksim V. Kitaev , Dmitrieva Natalia R. , Novoseltcev Igor A.
Published: June 2024

The article presents the results of a study the possibilities and necessary conditions for the use of houseboats and floating houses in the Primorsky region. It is shown the dynamics and general tendencies of the tourist flow in the Primorsky region over the past ten years. A brief history of floating houses appearance and respective reasons are shown. The architectural and structural types, design features, life support systems, features of their internal saturation and layout are considered. A classification of floating houses according to various criteria is proposed. Modern systems and technologies that ensure autonomy and energy independence of these objects are considered. The operation features, maintenance and periodic repair specifics of floating houses of different types during different periods of their operation are noted. The regional, natural and hydrometeorological features of the Primorsky region facilitating and complicating the use of these objects for the development of sea and island tourism are analyzed. The results of the work are part of a study aimed to the development of maritime transport technology and marine tourism, accessibility of remote areas and increasing the efficiency of the transport and logistics system of the Primorsky region taken as a whole.
Analysis of accidents in maritime transport using the method of Bayesian trust networks
Authors: Popov Anatoly N. , Zelenkov Gennadiy A. , Pluzhnik Valeriy S. , Borodin Oleg E.
Published: June 2024

Maritime incidents, though rare, have a significant impact on both the global economy and the environment. Improving maritime navigation practices always requires new ways to enhance safety, inevitably involving learning from past experiences and mistakes. In this context, probabilistic analysis of incidents and their associated consequences can play a crucial role in creating a safer and more efficient maritime transportation system. Bayesian networks constitute a class of probabilistic models based on statistics, decision theory, and graph theory.
This paper describes the analysis of maritime incident statistics by selecting probabilistic parameters influencing the risk of their occurrence. Important parameters from this database are grouped, and a Bayesian network is constructed to illustrate the relationships between them. This, in turn, provides insight into the dependencies existing among the variables in the database and the fundamental reasons for these accidents. The data for this study are based on the Lloyds Register and IMO incident databases from 1990 to 2022. Key factors from this database are grouped, and a Bayesian network is built to show the relationships between the corresponding variables, providing an understanding of the probabilistic dependencies among the variables in the database and the primary causes of these incidents.
A systematic approach to the supply of non-metallic construction materials on river transportation
Authors: Tsverov Vladimir V. , Olga L. Domnina Olga L. , Mamedov Dzheikhun I. , Gerbi Usami
Published: June 2024

n the presented study, the process of extraction and supply of non-metallic building materials on river transport is described from a systematic point of view. In the course of the study, functional and organizational models of a generalized river transport enterprise were developed for the system of extraction and supply of non-metallic building materials, as well as several organizational models of the following functional subsystems included in it: pre-production, extraction and production of non-metallic building materials, supply management, planning, logistics. Special attention is paid to the study of the pre-production stage of the logistic process of extraction and production of these materials. A systematic approach has made it possible to show that currently the weakest link in the supply of non-metallic building materials by river transport is the backward technical base of production and transshipment of non-metallic building materials. This is due to the fact that the modernization of mining equipment is hampered, on the one hand, by the practical absence of its production by domestic enterprises, and, on the other hand, by sanctions restrictions on foreign supplies. This affects the cost and quality of non-metallic construction materials supplied; environmental processes accompanying the extraction process. Additionally, the weak development of digital technologies in interaction with customers has an impact on supply management in general, and the lack of a scientifically based inventory management system in the process of year-round production and supply affects the level of service and cost of supplies.
Ultrasonic monitoring of plastic deformation
Authors: Rodyushkin Vladimir M. , Ilyakhinskii Aleksandr V. , Kornev Andrey B. , Karazanov Kirill O.
Published: June 2024

Accident impact assessment, safety analysis, and risk reduction are among the core research topics in the field of shipping. Analysis of emergency situations shows that all of them in most cases are characterized by a combination of some causes, one of which is the occurrence of inadmissible stress-strain state in ship elements. Determining the nature of fracture is one of the ship’s reliability improving measures. The presence of plastic deformation is a sign of the limiting condition when monitoring the structure. This leads to a visible change in the geometry of the structural components, but not to a violation of continuity, which, according to the rules of the Register, is controlled during the technical inspection of the ship. Having only regulated standard controls at its disposal, it is not possible to identify plastic deformation. The article discusses the issues of plastic deformations’ control in 10ХСНД shipbuilding steel by a method that is based on the analysis of the ultrasonic wave propagation characteristics in a controlled product. The complex of mechanical tensile tests and metallographic studies is described. The uniaxial stress-strain state of the material was created by tensile testing of a flat proportional sample. Changes in the metal structure were investigated when the required level of deformation was reached. The analysis of ultrasonic data with pulsed ultrasonic sensing and the level of second harmonic generation with continuous monochromatic ultrasonic emission is presented. Experimental data demonstrate the ability of the ultrasonic method to detect the pre-existing defects in metal under static loading, and allow for a more accurate assessment of the stress and strain state of ship's components, which can fundamentally change the picture of destruction. The use of ultrasonic plastic deformation monitoring in the framework of ship maintenance will help reduce accidents in the fleet.
Comparative Analysis of Deepfake Image Detection Method Using VGG16, VGG19 and ResNet50
Authors: Zahra Nazemi Ashani
Published: June 2024

In the rapidly evolving digital landscape, the proliferation of online image and video sharing has reached unprecedented levels. This surge has been accompanied by the emergence of deepfake technology, powered by generative adversarial networks and deep learning techniques, enabling the creation of highly realistic fabricated images and videos. Consequently, the widespread dissemination of deepfake content on social media platforms has prompted the global community to seek effective methods for detecting and combating this issue. Recognizing that Artificial Intelligence (AI) has played a significant role in propagating deepfake challenges, researchers and experts believe that AI can also provide viable solutions. In this study, we explore the application of AI for deepfake image detection. Specifically, we focus on three convolutional neural network (CNN) algorithms—VGG16, VGG19, and ResNet—for this purpose. To evaluate the performance of these CNN models, a dataset comprising 1,200 images, including a combination of fake and real images, was utilized. The deepfake images were generated using FaceApp, a prominent tool for creating manipulated visuals. Our findings demonstrate that VGG19 outperforms both VGG16 and ResNet50, achieving an impressive accuracy rate of 98% on the test dataset when small size is small. By harnessing the power of AI, particularly through the application of CNN algorithms, this research makes a significant contribution to the field of deepfake image detection. The results underscore the efficacy of VGG19 in accurately identifying manipulated images, thereby providing valuable insights for the development of robust detection systems to combat the proliferation of deepfakes in today's digital world.
Wireless Local Area Network and Analytical Hierarchy Process: Technology Acceptance Model for Increasing Use of Online Learning
Authors: Rangga Firdaus  , Yusri Abdullah  , Satria Abadi  , Muhamad Hariz Muhamad Adnan  , Sri Rezeki Candra Nursari  , Deshinta Arrova Dewi
Published: June 2024

Online learning is currently very much needed for the development of science in schools, the covid 19 outbreak has made changes to learning methods. The change in the learning model must also be supported by supporting learning devices and media, including computer networks and the internet in schools, the network that is used to support online learning is currently widely used by schools using WLAN, because it can reach parts of the hard one. The use of WLAN learning devices and media as a support for online learning can be an obstacle for some teachers and students, this is because not all teachers and students can understand the online learning system and not all areas have a fast internet access network, with these constraints in need a technology acceptance measurement model (TAM) for online learning using WLAN, so that online learning can be carried out properly and the achievement of successful learning can be carried out.
Inflammatory bowel diseases and modern methods of their treatment
Authors: Barna O. M. , Odynets M. О.
Published: June 2024

Chronic inflammatory bowel diseases are a group of diseases that still do not have a specific cause of their occurrence, are characterized by a particularly complex pathogenesis, a variety of clinical manifestations and a significant impact on the patient’s quality of life. Crohn’s disease and non-specific ulcerative colitis are diseases that run with the risk of severe exacerbations and can also lead to the patient’s disability. The main task in the treatment of inflammatory bowel diseases is the initiation of the remission stage and its long-term maintenance. For this, several groups of drugs are used, among which the drug of the first line of therapy is Mesalazine (Mesacol®), its effect on the intestinal wall consists in preventing the development of the inflammatory process by reducing the synthesis of pro-inflammatory prostaglandins and leukotrienes, slowing down the migration, degranulation and phagocytosis of neutrophils. In addition, mesalazine neutralizes free radicals, which increases the protective effect on the intestinal wall.
Veteran Football Clubs as Veritable Source of Tourism, Hospitality and Leisure in Cameroon
Authors: Mbi Aku Elvis Ofe Ako-
Published: June 2024

The emergence of veteran football clubs in Cameroon as a prominent avenue of sports and leisure has been remarkable. This trend has attracted participation from both young individuals and adults, extending beyond sports to encompass socialization, economic advancement, and even political endeavours. This study employs primary and secondary sources and utilizes a qualitative research design to explore the activities of football veteran clubs in Cameroon, which serve as significant contributors to hospitality and leisure in the country. The study's findings demonstrate that veteran clubs serve as venues for sporting activities, particularly football, as well as touristic attractions, leisure pursuits, social interactions, and opportunities for discipline.
Unethical Practices within Medical Science
Authors: Ahmed Shakeel
Published: June 2024

The falsifying research, medical fraud, patient exploitation, breaches of confidentiality, accepting kickbacks, and providing faulty care, all these unethical practices have become a trend in the field of medicines. To learn and overcome the existence of such ill practices that are on its way to completely jeopardise the trust of people on the health care professionals , we have investigated the common malpractices, their reasons and occurrence rate, the ways to lessen their further existence through an integrative network-based approach. For this , we have studied various research that aimed the same purpose and we have invited participants to provide their invaluable opinions. A total of 99 respondents from medical and non medical field had participated in questionnaires regarding their experience on the ill practices in the medical field as well as they were asked to attach some suggestions on how to change this system. Different and contrasting experiences and opinions were received through survey and this had a huge impact on our research making it a very trustworthy on . We observed various respondents saying various reasons behind the occurrence of the malpractices like illegal abortion ,excessive medication, unnecessary surgeries for financial gain, negligence etc. The opinions were recorded through the survey and through them awareness programs, public and government campaigns can be run targeting especially on those causes which have the most number of occurrences and eventually a better medical environment can be created through the involvement of every category of people .
Osmanlı Kudüsü’nde Kale Müessesesi ve Görevlileri
Authors: Avşin Güneş Gülcan
Published: June 2024

Tarihi Osmanlı öncesine uzanan Kudüs kalesinin Osmanlı dönemindeki işleyişi gözden kaçan bir husus olmuştur. Kale, fiziki görünümü ile Kudüs’e bir ortaçağ şehri görünümü vermektedir. Bunda yaşanan savaşların rolü vardır. Osmanlı döneminde daha çok isyanlarda gündeme gelen kale mümkün mertebe sükûneti tesis etmeyi sağlamıştır. Bu makalenin amacı söz konusu muhafazayı sağlayan kale ve kale görevlilerine odaklanarak XV. yüzyıldan XIX. yüzyıla muhtelif arşiv kaynaklarına temas ederek daha geniş perspektifli araştırmalara kapı aralamaktır. Buradan hareketle ifade etmek gerekir ki Kudüs kalesi hem merkezden gelen kapı kullarından hem de yerel halktan görevlendirilen yerli kulu muvazzaflarından oluşmaktaydı ve bunların hepsi Kudüs kale dizdarının komutası altındaydı. Kudüs kalesi, isyanlarda isyancıların çoğunlukla şehri ele geçirmek adına odağa aldıkları ilk mekân olmuştur. İsyanların bazısında bizzat kale görevlileri de yer almış ve şehir halkının desteğini alarak Kudüs yönetimini ele geçirmişlerdir. Bu nedenle başta dizdar olmak üzere kale görevlilerinin seçimi büyük önem arz etmekteydi. Dizdar şehir muhafazasının yanı sıra, yüksek gelirli vakıfların hasılatlarını toplamak için neferleri vakıf mütevellisinin hizmetine vermekle görevliydi. Ayrıca asayişi bozan durumlarda şehrin önde gelenleri ve yöneticileriyle işbirliği yaparak sorunların çözümüne çalışırdı. Makalede kale görevlileri ve Kudüs kalesinin işleyişi ile ilgili sorulara arşiv materyalleriyle cevaplar bulunmaya çalışıldı.
Formation of a Magnetic Cloud from the Merging of Two Successive Coronal Mass Ejections
Authors: Chen Chong , Liu Ying D. , Zhu Bei , Hu Huidong , Wang Rui
Published: June 2024

On 2022 March 28 two successive coronal mass ejections (CMEs) were observed by multiple spacecraft and resulted in a magnetic cloud (MC) at 1 au. We investigate the propagation and interaction properties of the two CMEs correlated with the MC using coordinated multipoint remote sensing and in situ observations from Solar Orbiter, STEREO-A, Solar and Heliospheric Observatory, and Wind. The first CME was triggered by a filament eruption with a high inclination angle. Roughly 9 hr later, the second CME originating from the same active region erupted with a smaller tilt angle and faster speed compared to the first one. The second CME overtook the preceding CME and formed a merged front at approximately 75 R
☉, which developed into a complex ejecta at 1 au. The descending speed and low proton temperature inside the complex ejecta suggest that the two CMEs have fully merged before reaching 1 au, leading them to begin expanding rather than compressing against each other. The complex ejecta appears to have the magnetic field and plasma signatures of an MC, although there is a discontinuity in the magnetic field implying previous interactions. The cross section of the complex ejecta, reconstructed from in situ data using a Grad–Shafranov technique, exhibits a right-handed flux rope structure. These results highlight that an MC-like complex ejecta lacking interaction features could arise from the complete merging of two CMEs.
An updated checklist of the Hydradephaga of Switzerland (Coleoptera)
Authors: Cosandey Vivien , Chittaro Yannick , Sanchez Andreas
Published: June 2024

An updated checklist of the Swiss species of Hydradephaga (Dytiscidae, Gyrinidae, Haliplidae, Hygrobiidae, Noteridae) is presented and briefly discussed. A total of 139 species is retained as part of the Swiss fauna, while 53 species, which have been recorded in Switzerland in the past, are excluded from this list, either due to insufficient documentation or because their records were based on misidentified material. In contrast to previous works, the present study also provides, for the first time, distribution maps through an online map server for all Hydradephaga species in Switzerland, based on over 43,000 occurrences obtained from specimens held in museums and private collections, as well as literature data. The occurrences of the rarest species of Switzerland, as well as data on species erroneously cited in Switzerland, are presented and discussed.
Efficacy of single-dose evolocumab injection in early-phase acute myocardial infarction: a retrospective single-center study
Authors: Kim Yongcheol , Roh Ji Woong , Lee Oh-Hyun , Heo Seok-Jae , Im Eui , Cho Deok-Kyu , Kim Byeong-Keuk
Published: June 2024

Background/Aims: Achieving rapid reduction of low-density lipoprotein cholesterol (LDL-C) levels below 55 mg/dL in patients with acute myocardial infarction (AMI) can be challenging with statins alone. This single-center, retrospective study aimed to assess the impact of single-dose injection of evolocumab 140 mg on LDL-C levels during the peri-percutaneous coronary intervention (PCI) period in patients with AMI.Methods: A total of 95 patients with AMI who underwent PCI were divided into the evolocumab (n = 50) and non-evolocumab (n = 45) groups.Results: The percentage change of LDL-C level at 1–3 weeks from baseline was 78.4 ± 13.4% reduction in the evolocumab group versus 45.6 ± 22.6% in the non-evolocumab group, with a mean difference of -33.5% between the groups (95% CI: -42.6 to -24.5%; p < 0.001). The achievement rate of LDL-C levels below 55 mg/dL at 1–3 weeks was significantly higher in the evolocumab group than in the non-evolocumab group (97.7% vs. 60.0%, p < 0.001).Conclusions: Patients with AMI who received single-dose injection of evolocumab 140 mg during the peri-PCI period had a significantly greater LDL-C reduction and higher proportion of patients achieved the target LDL-C level in the early phase AMI than those who did not receive evolocumab.
Effects of statin use on serum creatinine phosphokinase levels in normal thyroid function
Authors: Ha Jeonghoon , Lee Joonyub , Yu Jin , Park Hakyoung , Shinn Jiwon , Lee Seung-Hwan , Cho Jae-Hyoung , Kim Hun-Sung
Published: June 2024

Background/Aims: Statins are common lipid-lowering agents used in dyslipidemia. However, they increase serum creatinine phosphokinase (CPK) levels. Currently, there are no studies on the effect of thyroid-stimulating hormone (TSH) levels on CPK levels after statin administration. Therefore, this study aimed to investigate CPK level alterations after statin administration according to TSH quartiles in participants with euthyroidism.Methods: This retrospective analysis included 25,047 patients with euthyroidism. CPK levels were measured before and 6 months after statin administration. Normal TSH levels were divided into four quartiles, and the CPK levels and proportions of patients with normal CPK levels after statin administration for each TSH quartile were evaluated.Results: The baseline CPK level was significantly higher in the lowest TSH quartile (Q1) compared to the other quartiles but decreased after statin administration. Thus, the difference between the CPK levels and the other quartile groups was not significant. The proportion of patients with normal CPK levels was also significantly lowest in Q1 before statin administration; however, no significant difference was noted in the ratio among each group after statin administration. These findings were consistent with the findings of the analysis according to statin intensity.Conclusions: In patients in the lowest TSH quartile of the normal TSH range, the CPK level decreased, and the proportion of normal CPK levels increased significantly after statin administration. However, similar changes were not observed in other TSH quartiles. Therefore, further studies are required to mechanistically confirm these conclusions.
Les Indications Géographiques pour les Productions Industrielles et Artisanales : la révélation d’un ancrage industriel territorialisé ?
Authors: Baujard Baptiste , Dedeire Marc
Published: June 2024

Les Indications Géographiques pour les Productions industrielles et artisanales (IGPIA), créées à l’initiative de la loi Consommation de 2014 (loi Hamon), se sont révélées être des outils particulièrement efficaces pour la protection des savoir-faire et le rayonnement de ces différentes productions industrielles et artisanales, à l’échelle nationale comme internationale dans le cadre d’une réindustrialisation de plus en plus accentuée de nos territoires.L’ancrage des entreprises pour ce type de production se doit donc d’être fort. Ce papier tente de révéler l’ancrage industriel de ses productions depuis un point de vue géographique géographie économique en essayant de mesurer leurs ancrages afin de s’interroger sur la révélation de ces ancrages industriels au sein de leurs territoires respectifs.Classification JEL : L6, R0, R12.
La construction politique de la diversification économique régionale : une comparaison de filières en Bretagne et au Québec maritime
Authors: Police Antoine
Published: June 2024

La diversification des économies régionales constitue un letimotiv ancien des politiques de développement régional et suscite un intérêt renouvelé des géographes et économistes dans le milieu académique. Ce papier développe une approche politique de la diversification en montrant que les acteurs sociaux sont susceptibles de générer collectivement, à partir d’une même activité et dans une même région, des projets de diversification à géométrie variable sur un mode plus ou moins conflictuel. Les bifurcations dans une trajectoires de diversification sont expliquées à l’aune des dynamiques du travail politique (cadrage, instrumentation et alliance) opéré par les acteurs qui jouent avec les opportunités offertes par leur contexte institutionnel (sectoriel et territorial). Ces propositions théoriques sont testées à partir de la comparaison de deux branches émergentes de l’aquaculture en région maritime périphérique (Bretagne, Québec Maritime).Classification JEL : D78 – L78 – O13 - O25.
Lyon, aménager la métropole industrielle
Authors: Lejoux Patricia , Linossier Rachel
Published: June 2024

Cet article vise à apporter de nouveaux éléments de connaissances sur la dimension institutionnelle des effets locaux de la performance économique des territoires. Il cherche plus particulièrement à comprendre le rôle que peuvent jouer les collectivités locales, en l’occurrence les métropoles, dans le dynamisme industriel de leur territoire. Il analyse pour cela les politiques d’aménagement et d’urbanisme menées par la Métropole de Lyon pour mettre en œuvre sa politique industrielle. Les résultats montrent que la mise en œuvre de cette politique industrielle est facilitée par l’alignement des acteurs de l’écosystème territorial, la mobilisation de différents leviers d’action spatiale (urbanisme réglementaire, politique foncière et immobilière, etc.) et la prise en compte de la diversité des problématiques industrielles et urbaines au sein de la métropole. Mais elle se heurte à la difficulté de concilier politique de développement économique, politique d’aménagement urbain et politique de mobilité à l’échelle d’une métropole.Classification JEL : L52, L60, R30, R52.
Territoires d’industrie : hétérogénéité et convergence
Authors: Amdaoud Mounir , Levratto Nadine
Published: June 2024

L’objectif de cet article est d’explorer la nature des dynamiques de l’emploi dans les territoires d’industrie en France sur la période 2014 à 2021. Deux méthodes d’investigation complémentaires sont déployées. La première s’appuie sur le modèle des chaînes de Markov en vue d’analyser la croissance relative des territoires d’industrie et mesurer les mouvements dans la distribution des taux d’emploi. La seconde, plus récente, teste l’hypothèse de convergence en clubs, elle complète la précédente en précisant et identifiant chacun des territoires faisant l’objet d’une mobilité au sein de la distribution. Les résultats mettent en avant l’hétérogénéité des processus de croissance et de convergence des territoires d’industrie ainsi que l’absence d’une trappe à industrie.Classification JEL : R11, C14, O42, R15.
The Arab Mexicans before the Great War: Mobility Causes, Ottomanism, and Consular Aspirations
Authors: Reyes Francisco
Published: June 2024

This article explores the activism of Arab Mexicans during the transition from the sultanate of Abdülhamid II, known as the Hamidian regime, and the beginning of the rule of the Committee of Union and Progress, known as the Young Turks government. The paper discusses the activism of intellectuals, social network leaders, and associations that created affinity ties with the Ottoman government and French authorities. These activities aspired to consolidate the diplomatic protection of Ottomans in Mexico. The compilation of primary sources shows the spread of Ottomanism and Francophilia within the first generation of Arab Mexicans. These discourses of affinity are relevant elements to understanding the activism in the Great War and at the dawn of the Mandate system in the Mashriq.
Smart Highways-Based Piezoelectric Vehicle Speed Sensor
Authors: Taha Luay Y.
Published: June 2024

In this chapter, the authors proposed a piezoelectric based vehicle speed sensor. The sensors produce pulses when stressed by a vehicle's front and back wheels, passed over them. Due to the vehicle physical dimension, the sensor pulse, due to the back wheel stressing, has some delay time as compared with the front wheel sensing pulse, due to the front wheel stressing. The time delay between these pulses is estimated using microcontroller program. Then, the program computes the vehicle speed from the distance to time delay ratio.
Data Science and Artificial Intelligence for Industry 5.0
Authors: Mishra Pankaj Kumar , Verma Shashi Kant
Published: June 2024

Data science provides direction in making the best decisions for a business model. Deep insight and valuable data analytics are thrust research areas of data science. The brain functions differently in different situations; artificial intelligence (AI) uses machines and deep learning to simulate the working of the human brain. AI methods with the application of data science on historical data improve industry production. With the introduction of new technologies, industries are seeking solutions based on data science and AI. Banking, advertising, healthcare, machinery, and education are different sectors utilizing AI and data science for automation and increasing efficiency. The earlier research work demonstrates that in the next time era, data science and AI will be extensively utilized. AI can help to devise a model to detect malfunction of machinery in the industry before it stops working. The production cost significantly decreases due to the pre-determination of the fault point.
Human-Drone Interaction Augmenting User Experience in Industry 5.0
Authors: Singh Chandra , Bekal Anush , Ashoka A. , Shreesha P. U. , Dsouza Lanlyn Samuel
Published: June 2024

Human-Drone interaction (HDI) within the evolving paradigm of Industry 5.0, spotlights the transformative potential of drones in enhancing user experiences and operational efficiencies in contemporary industrial settings. As the fifth industrial revolution emphasizes the symbiotic integration of human creativity and decision-making with advanced technological systems, drones emerge as potent facilitators of this integrative approach. This scrutiny aims to underscore the significance of establishing robust frameworks that safeguard societal interests, data integrity, and operational safety. This exploration underscores the transformative potential of human-drone interaction in heralding an augmented user experience aligned with the holistic visions of Industry 5.0. It champions the continuous innovation, ethical mindfulness, and user-centric adaptation of drone technologies as pivotal in realizing enhanced operational landscapes marked by human-technological harmony and unprecedented industrial advancements.
A Study on Sustainable Practices as a Competitive Advantage in Five-Star Hotels of Delhi and National Capital Region (India)
Authors: Kumari Madhu , Guleria Sandeep , Kumar Suneel
Published: June 2024

The goal of the study is to undertake a descriptive analysis of the sustainable strategy accessible to hotels and assess its ability to produce competitive advantage through promoting efficiency, luring clients, and generating revenue. By contrasting the strategic aim and execution of sustainability programs in hotels across Delhi NCR, the authors investigate how their implementation affects other industry actors. This chapter critically examines this concept in the context of the hospitality business. The study described here offers a new and creative way to look at how its performance or outcomes may be enhanced in the hotel industry, giving it a durable competitive edge. Long-term hotel operations may benefit from the outcomes of sustainable competitive advantage. The chapter examines the role of sustainable competitive advantage in the hotel industry and offers recommendations. It offers new insights into the shortcomings of the highly competitive hotel sector. With the global competition getting fiercer, the hotel industry has to actively manage its internal operations, focusing on cost reduction and raising service standards. The study helps make sustainable methods that are adapted to the competitive environment more widely known.
Circular Economy Practices in the Hotel Sector in Luanda, Angola
Authors: Leandro Gracieth de Sousa Mateus , Kumar Sanjeev , Jacinto da Gama Mónica , Carvalho Helvia , Leandro Etelvino
Published: June 2024

The circular economy model is fundamental, as it brings several benefits to the environment, the economy, organizations, the community, and the tourism sector. Considering that tourism activity produces negative externalities on the environment, the adoption of circular economy practices is important to minimize these impacts and contribute to achieving sustainability in the sector and communities. In this sense, the main objective of the investigation is to analyze the benefits of circular economy practices in the hotel sector in Luanda, Angola. The research is qualitative in nature, presenting the main circular economy practices implemented in the hotel sector and the perception of managers and employees of hotels in Luanda about the benefits of adopting these practices. The study shows that there is little knowledge about organizational practices related to the circular economy; however, some hotel units realize the benefits of the circular economy and have already implemented some of these practices. This study can contribute to science because it is one of the few to analyze the adoption of circular economy practices and principles in the hotel sector in African cities.
A Data-Driven Model for Predicting Fault-Tolerant Safe Navigation in Multi-Robot Systems
Authors: Madhesh A. , Priyadharshini Clara Barathi
Published: June 2024

Earlier methods focused on reducing the forecast uncertainty for individual agents and avoiding this unduly cautious behavior by either employing more experienced models or heuristically restricting the predictive covariance. Findings indicate neither the individual prediction nor the forecast uncertainty have a major impact on the frozen robot problem. The result is that dynamic agents can solve the frozen robot problem by employing joint collision avoidance and clear the way for each other to build feasible pathways. Potential paths for safety evaluation are ranked according to the likelihood of collisions with known objects and those that happen outside the planning horizon. The whole collision probability is examined. Monte Carlo sampling is utilized to approximate the collision probabilities. Designing and selecting routes to reach the intended location, this approach aims to provide a navigation framework that reduces the likelihood of collisions.
Evaluating Customer Satisfaction and Trust in Autonomous AI Banking Systems
Authors: Kasinathan Aruna , Sampath Shrilatha , Sampath Hemalatha
Published: June 2024

The study aims to assess customer satisfaction and trust in autonomous artificial intelligence (AAI) systems within the banking sector. Its primary objectives include exploring factors contributing to customer trust in AAI, investigating preferences for AI-driven features in banking, and determining the impact of AAI on perceived service quality. The research, adopting a descriptive design, employs both qualitative and quantitative methods. A survey, distributed to customers of leading banks in India, particularly in Tamil Nadu, with a sample size of 213, utilizes simple random and convenient sampling. Results highlight customer preferences for customized services, financial advice, and automation in banking. The implementation of AAI is perceived positively, especially in terms of transparency in processes like loans, account management, and more. Practical implications include helping banks understand customer expectations, identify weaknesses in AAI features, and enhance service quality in Tamil Nadu.
Foetal Activity Detection Using Deep Convolution Neural Networks
Authors: Santhappan Xavier Arockiaraj , Bis Ronica
Published: June 2024

Ultrasound is a conventional diagnostic instrument employed in prenatal care to track the progression and advancement of the fetus. In routine clinical obstetric assessments, the standard planes of fetal ultrasound hold considerable importance in evaluating fetal growth metrics and identifying abnormalities. In this work, a method to detect FFSP using deep convolutional neural network (DCNN) architecture to improve detection efficiency is presented. Squeeze net, 16 convolutional layers with small 3x3 large kernel, and all three layers form the proposed DCNN. The final pooling layer uses global average pooling (GAP) to reduce inconsistency in the network. This helps reduce the problem of overfitting and improves the performance from different training data. To improve cognitive performance, data augmentation methods developed specifically for FFSP are used in conjunction with adaptive learning strategies. Extensive testing shows that the proposed method gives accuracy of 96% which outperforms traditional methods, and DCNN is an important tool to identify FFSP in clinical diagnosis.
Research Directions and Challenges in the Deployment of Explainable AI in Human-Robot Interactions for Healthcare 4.0/5.0
Authors: Kishore Kumar A. , Sarveswaran S. , Dheerthi N. , Murugarajan A.
Published: June 2024

In the rapidly evolving landscape of Healthcare 4.0/5.0, the integration of artificial intelligence (AI) and robotics has shown immense potential in transforming patient care. However, the deployment of these technologies in human-robot interactions (HRI) demands a delicate balance between efficiency and transparency. This chapter explores the research directions and challenges associated with the implementation of Explainable AI (XAI) in the context of HRI for the advancement of healthcare services. The authors delve into the critical aspects of ensuring transparency and interpretability in AI-driven robotic systems, emphasizing the need for explainability to foster trust and collaboration between healthcare professionals, patients, and intelligent robotic entities. The chapter highlights key challenges, proposes potential research directions, and suggests methodologies to address the complexities in deploying XAI within the healthcare ecosystem.
Study on Nano Robotic Systems for Industry 4.0
Authors: Pradeep G. V. Krishna , Balaji M. , Narula Vivek , Nirmala V. , Solomon I. John , Sudhakar M.
Published: June 2024

Nano robotics is a rapidly developing technology that operates at microscopic scales, revolutionizing fields like medicine and manufacturing. However, it faces numerous challenges, including technical, ethical, and practical issues. These include precision engineering, control mechanisms, and power sources, as well as ethical concerns about autonomy, safety, and societal impact. The chapter explores the future of nano robotics, highlighting its potential in various fields such as medicine and manufacturing. It highlights the potential of nano robots in enhancing durability and functionality, offering targeted drug delivery, minimally invasive surgeries, and precise diagnostics. The chapter also addresses technical challenges, ethical considerations, and potential developments, aiming to make the seemingly impossible achievable at the tiniest scales, emphasizing the need for further advancements.
Disease activity assessment for juvenile idiopathic arthritis in transitional care
Authors: La Torre F. , Coppola C. , Anelli M.G. , Cacciapaglia F. , Lopalco G. , Cardinale F. , Iannone F.
Published: June 2024

Objective. The indices to measure disease activity of chronic arthritis in adulthood and childhood are different. Therefore, assessing the status of the disease in young patients with juvenile idiopathic arthritis (JIA) can be tricky, especially when the transition to adult care is ongoing. The aim of our study was to assess the level of correlation between adult and juvenile scores in the measurement of disease activity in JIA patients during transitional care.
Methods. We estimated the disease activity by using the Juvenile Arthritis Disease Activity Score 71 (JADAS71), clinical JADAS, adult Disease Activity Score (DAS28), Simplified Disease Activity Index (SDAI), and Clinical Disease Activity Index (CDAI) in JIA patients in transitional care. We enrolled patients older than 16 years at the time of the first transition visit, and disease activity was assessed at baseline and 12 months. Regression analyses were carried out to estimate the level of agreement among the different indices.
Results. We recruited 26 patients with JIA; 11 patients were polyarticular (42.3%) and 15 patients were oligoarticular (53.1%). The mean age at diagnosis was 7.7±3.9 years and the age at the first evaluation was 20.9±3.7 years. The correlation between JADAS71 and DAS28 was r2=0.69, r2=0.86 between JADAS71 and SDAI, and r2=0.81 between JADAS71 and CDAI.
Conclusions. SDAI and JADAS71 showed the best correlation, but a few patients were not captured at the same level of disease activity. New prospective studies with a larger number of patients will be needed in this field.
Novel genetic mutation associated with hyperphosphatemic familial tumoral calcinosis/hyperostosis-hyperphosphatemia syndrome treated with denosumab: a case report
Authors: Fabbriciani G. , Colombini A. , Messina C. , Adami G.
Published: June 2024

In this case report, a novel N-acetylgalactosaminyltransferase 3 homozygous mutation (c.782 G>A; p.R261Q) associated with hyperphosphatemic familial tumoral calcinosis/hyperostosis-hyperphosphatemia syndrome is described. The patient had elbow, pelvis, and lower limb pain and a hard mass in the hip and olecranon regions. Increased levels of inorganic phosphorus (Pi) and C-reactive protein were observed. After treating the patient with conventional drugs, we tested denosumab, which reduced but did not normalize the Pi.
Electroclinical Features of Infantile Epileptic Spasms Syndrome
Authors: Erdemir Gozde , Moosa Ahsan N.
Published: June 2024

Epileptic spasms are a unique, age-dependent manifestation of epilepsies in infancy and early childhood, commonly occurring as part of infantile epileptic spasms syndrome. Developmental stagnation and subsequent decline may occur in children with epileptic spasms, partly due to the abundant high-amplitude interictal epileptiform and slow wave abnormalities. Early recognition and treatment of epileptic spasms, along with the reversal of the electroencephalography (EEG) findings, are critical for improving outcomes. Recognizing hypsarrhythmia and its variations is key to confirming the diagnosis. The various patterns of hypsarrhythmia are not etiology specific, but could indicate the severity of the disease. Several scoring systems have been proposed to improve the inter-rater reliability of recognizing hypsarrhythmia and to assess EEG progress in response to treatment. Ictal patterns during spasms are brief and composed of slow waves, sharp transients, fast activity, and voltage attenuation, either in isolation or more commonly as a combination of these waveforms. Ictal patterns are commonly diffuse, but may be lateralized to one hemisphere in children with structural etiology. A subset of patients with epileptic spasms has a surgically remediable etiology, with readily identifiable lesions on neuroimaging in most cases. Asymmetry in epileptic spasms, concurrent focal seizures, and asymmetric interictal and ictal EEG findings may be present, but a lack of focality in electrophysiological findings is not uncommon. Intracranial EEG features of epileptic spasms have been described, but the utility of intracranial EEG monitoring in surgical candidates with overt focal epileptogenic lesions on magnetic resonance imaging is questionable, and surgery could be performed using noninvasive data.
DEL phenotype in RhD-negative North Indian blood donors
Authors: Kaur Paramjit , Bedi Ravneet K. , Sood Tanvi , Mittal Kshitija , Kaur Gagandeep
Published: June 2024

BACKGROUND:

Rh-DEL type is not detected on routine serology and requires specialized adsorption elution methods which are laborious. Identifying the DEL phenotype in blood donors is important to prevent alloimmunization in transfusion recipients. The present study aimed to determine the frequency of DEL phenotype in RhD-negative North Indian blood donors and correlate the results with Rh Cc/Ee phenotype.

MATERIALS AND METHODS:

In this prospective descriptive cross-sectional study, a total of 205 blood donors with historic blood group RhD-negative were enrolled. All samples were subjected to blood grouping using a fully automated immunohematology analyzer and samples that typed as RhD negative by two different anti-D antisera were tested for Weak D. Weak D-negative samples were subjected to adsorption and elution for DEL phenotype. All samples were also tested for extended Rh phenotype for C/c and E/e antigens.

RESULTS:

Of the total 11934 donors during the study, 6.2% (n = 743) donors were RhD negative. Of the 205 donors enrolled in the study, two donor samples were serologically weak D positive. None of the remaining 203 donors tested positive for the DEL phenotype. The extended Rh phenotype performed for these donors showed that 6.83% (n = 14) donors were positive for RhC antigen and 1.46% (n = 3) were positive for Rh E antigen. Both weak D-positive donors were also positive for the Rh C antigen.

CONCLUSION:

The prevalence of DEL phenotype is low in the Indian population and studies with larger sample sizes are required to determine the effectiveness of routine C/E typing as a strategy to identify DEL-positive individuals.